Programmierung
Quantum Computing by Practice
Learn to write algorithms and program in the new field of quantum computing. This second edition is updated to equip you with the latest knowledge and tools needed to be a complex problem-solver in this ever-evolving landscape. The book has expanded its coverage of current and future advancements and investments by IT companies in this emerging technology. Most chapters are thoroughly revised to incorporate the latest updates to IBM Quantum's systems and offerings, such as improved algorithms, integrating hardware advancements, software enhancements, bug fixes, and more.You’ll examine quantum computing in the cloud and run experiments there on a real quantum device. Along the way you’ll cover game theory with the Magic Square, an example of quantum pseudo-telepathy. You’ll also learn to write code using QISKit, Python SDK, and other APIs such as QASM and execute it against simulators (local or remote) or a real quantum computer. Then peek inside the inner workings of the Bell states for entanglement, Grover’s algorithm for linear search, Shor’s algorithm for integer factorization, and other algorithms in the fields of optimization, and more. Finally, you’ll learn the current quantum algorithms for entanglement, random number generation, linear search, integer factorization, and others.By the end of this book, you’ll understand how quantum computing provides massive parallelism and significant computational speedups over classical computersWHAT YOU'LL LEARN* Write algorithms that provide superior performance over their classical counterparts* Create a quantum number generator: the quintessential coin flip with a quantum twist* Examine the quantum algorithms in use today for random number generation, linear search, and more* Discover quantum teleportation* Handle the counterfeit coin problem, a classic puzzle * Put your knowledge to the test with more than 150 practice exercises WHO THIS BOOK IS FORDevelopers, programmers, computer science researchers, teachers, and students.Vladimir Silva was born in Quito, Ecuador. He received a System's Analyst degree from the Polytechnic Institute of the Army in 1994. In the same year, he came to the United States as an exchange student pursuing an M.S. degree in Computer Science at Middle Tennessee State University. After graduation, he joined the IBM WebAhead technology think tank. His interests include Grid Computing, Neural Nets, and Artificial Intelligence. He also holds numerous IT certifications including OCP, MCSD, and MCP. He has written many technical articles for IBM developerWorks and books in the fields of grid computing, and security. His previous books include: Grid Computing for Developers (Charles River Media), Practical Eclipse Rich Client Platform (Apress), Pro Android Games (Apress), and Advanced Android 4 Games (Apress).CHAPTER 1: QUANTUM FIELDS - THE BUILDING BLOCKS OF REALITYEnter Max Planck, the Father of Quantum MechanicsPlanck Hits the Jackpot, Einstein collects a Novel PrizeQuantum Mechanics comes in many flavors. Which is your favorite?Many Worlds InterpretationSupplementary InterpretationsFrom Quantum Mechanics to Quantum Fields: Evolution or RevolutionChapter 1 ExercisesCHAPTER 2: RICHARD FEYNMAN, DEMIGOD OF PHYSICS, FATHER OF THE QUANTUM COMPUTERMysteries of QFT: The Plague on InfinitiesFeynman Diagrams: Formulas in DisguiseAntimatter as Time Reverse Matter and the Mirror UniverseChapter 2 ExercisesCHAPTER 3: THE QUBIT REVOLUTION IS AT HANDYour Friendly Neighborhood Quantum ComputerLinear Optics vs Super Conducting LoopsThe Many Flavors of QubitChapter 3 ExercisesCHAPTER 4: ENTER THE IBM QUANTUM: A ONE OF A KIND PLATFORM FOR QUANTUM COMPUTING IN THE CLOUDGetting your feet wet with IBM QuantumOpus 1: Variations on Bell and GHZ StatesRemote Access via the REST APIChapter 4 ExercisesCHAPTER 5: MATHEMATICAL FOUNDATION: TIME TO DUST UP THAT LINEAR ALGEBRAQubit 101: Vector, Matrices and Complex NumbersEuler’s Identity: A Wonderful MasterpieceAlgebraic Representation of the QubitChanging the State of a Qubit with Quantum GatesUniversal Quantum Computation delivers shortcuts over Classical ComputationChapter 5 ExercisesCHAPTER 6: QISKIT, AWESOME SDK FOR QUANTUM PROGRAMMING IN PYTHONInstalling the QISKitYour First Quantum ProgramQuantum Assembly: The Power behind the ScenesChapter 6 ExercisesCHAPTER 7: START YOUR ENGINES: FROM QUANTUM RANDOM NUMBERS TO TELEPORTATION, PIT STOP AT SUPER DENSE CODINGQuantum Random Number GenerationSuper Dense CodingQuantum TeleportationCHAPTER 8: GAME THEORY: WITH QUANTUM MECHANICS ODDS ARE ALWAYS IN YOUR FAVORCounterfeit Coin PuzzleMermin-Peres Magic SquareAnswers for the Mermin-Peres Magic Square ExerciseCHAPTER 9: FASTER SEARCH PLUS THREATENING THE FOUNDATION OF ASYMMETRIC CRYPTOGRAPHY WITH GROVER AND SHORQuantum Unstructured SearchInteger Factorization with Shor’s AlgorithmCHAPTER 10: ADVANCED ALGORITHMS FOR QUANTUM CHEMISTRYWhat in an Eigenvalue and why should I careVariational Quantum EigensolverMolecule Ground State ExperimentProtein Folding Experiment
Practical Spring LDAP
This revised edition is your practical, hands-on guide to developing Java-based enterprise applications with big data or batches of data using the Spring LDAP and the Spring Data LDAP frameworks. The book covers these popular Spring project modules and explains the purpose and fundamental concepts of LDAP before giving a comprehensive tour of the latest version of Spring LDAP and Spring Data LDAP as found in Spring Framework 6.The book provides a detailed treatment of LDAP controls and the new features of Spring LDAP such as Object Directory Mapping and LDIF parsing. LDAP has become the de facto standard for storing and accessing information in enterprises. Despite its widespread adoption, developers often struggle when it comes to using this technology effectively. The traditional Java LDAP and JNDI approaches have proven to be painful and have resulted in complex, less modular applications. The Spring LDAP framework provides an ideal alternative.After reading and using this book, you'll come away with a level of comfort for working with large batches of data or big data in your enterprise Spring applications development.WHAT YOU'LL LEARN* Explore "What is Java LDAP?" and understand the Spring LDAP and Spring Data LDAP frameworks* Search LDAP resources* Sort and page your LDAP results* Dive into object directory mapping* Handle LDAP transactions and moreWHO THIS BOOK IS FORIntermediate to advanced Java and Spring software developers; programmers with at least some prior experience in Java, especially the Spring FrameworkBALAJI VARANASI is a software development manager and technology entrepreneur. He has over 13 years of experience architecting and developing Java/.NET applications and, more recently, iPhone apps. During this period, he has worked in the areas of security, web accessibility, search, and enterprise portals. He has a master's degree in computer science and serves as adjunct faculty, teaching programming and information system courses. When not programming, he enjoys spending time with his lovely wife in Salt Lake City, Utah.ANDRES SACCO has been working as a developer since 2007 in different languages, including Java, PHP, Node.js, Scala, and Kotlin. His background is mostly in Java and the libraries or frameworks associated with this language. At most of the companies he worked for, he researched new technologies to improve the performance, stability, and quality of the applications of each company. In 2017, he started to find new ways to optimize the transference of data between applications to reduce the cost of infrastructure. He suggested some actions, some applicable in all of the manual microservices and others in just a few. All of this work includes creating a series of theoric-practical projects (available on Manning.com). Recently, he co-authored an Apress book on Beginning Scala 3. He also, published a set of theoric-practical projects about uncommon ways of testing, such as architecture tests and chaos engineering.
Python Debugging for AI, Machine Learning, and Cloud Computing
This book is for those who wish to understand how Python debugging is and can be used to develop robust and reliable AI, machine learning, and cloud computing software. It will teach you a novel pattern-oriented approach to diagnose and debug abnormal software structure and behavior.The book begins with an introduction to the pattern-oriented software diagnostics and debugging process that, before performing Python debugging, diagnoses problems in various software artifacts such as memory dumps, traces, and logs. Next, you’ll learn to use various debugging patterns through Python case studies that model abnormal software behavior. You’ll also be exposed to Python debugging techniques specific to cloud native and machine learning environments and explore how recent advances in AI/ML can help in Python debugging. Over the course of the book, case studies will show you how to resolve issues around environmental problems, crashes, hangs, resource spikes, leaks, and performance degradation. This includes tracing, logging, and analyziing memory dumps using native WinDbg and GDB debuggers.Upon completing this book, you will have the knowledge and tools needed to employ Python debugging in the development of AI, machine learning, and cloud computing applications.WHAT YOU WILL LEARN* Employ a pattern-oriented approach to Python debugging that starts with diagnostics of common software problems* Use tips and tricks to get the most out of popular IDEs, notebooks, and command-line Python debugging* Understand Python internals for interfacing with operating systems and external modules* Perform Python memory dump analysis, tracing, and loggingWHO THIS BOOK IS FORSoftware developers, AI/ML engineers, researchers, data engineers, as well as MLOps and DevOps professionals. DMITRY VOSTOKOV is an internationally recognized expert, speaker, educator, scientist, inventor, and author. He founded the pattern-oriented software diagnostics, forensics, and prognostics discipline (Systematic Software Diagnostics) and Software Diagnostics Institute (DA+TA: DumpAnalysis.org + TraceAnalysis.org). Vostokov has also authored multiple books on software diagnostics, anomaly detection and analysis, software, and memory forensics, root cause analysis and problem-solving, memory dump analysis, debugging, software trace and log analysis, reverse engineering, and malware analysis. He has over thirty years of experience in software architecture, design, development, and maintenance in various industries, including leadership, technical, and people management roles. In his spare time, he presents multiple topics on Debugging.TV and explores Software Narratology and its further development as Narratology of Things and Diagnostics of Things (DoT), Software Pathology, and Quantum Software Diagnostics. His current interest areas are theoretical software diagnostics and its mathematical and computer science foundations, application of formal logic, artificial intelligence, machine learning, and data mining to diagnostics and anomaly detection, software diagnostics engineering and diagnostics-driven development, diagnostics workflow, and interaction. Recent interest areas also include cloud native computing, security, automation, functional programming, applications of category theory to software development and big data, and artificial intelligence diagnostics. Chapter 1: Fundamental Vocabulary.- Chapter 2: Pattern-Oriented Debugging.- Chapter 3: Elementary Diagnostics Patterns.- Chapter 4: Debugging Analysis Patterns.- Chapter 5: Debugging Implementation Patterns.- Chapter 6: IDE Debugging in Cloud.- Chapter 7: Debugging Presentation Patterns.- Chapter 8: Debugging Architecture Patterns.- Chapter 9: Debugging Design Patterns.- Chapter 10: Debugging Usage Patterns.- Chapter 11: Case Study: Resource Leaks.- Chapter 12: Case Study: Deadlock.- Chapter 13: Challenges of Python Debugging in Cloud Computing.- Chapter 14: Challenges of Python Debugging in AI and Machine Learning.- Chapter 15: What AI and Machine Learning Can Do for Python Debugging.- Chapter 16: The List of Debugging Patterns.
Building Real-Time Marvels with Laravel
Dive into the diverse facets of the Laravel ecosystem. This comprehensive guide will put you on the fast track to becoming an expert in Laravel development.Starting with the fundamentals, you’ll explore essential concepts, enabling you to grasp the framework's structure. Subsequent chapters cover intricate topics, such as advanced routing techniques, database management, and eloquent object relational mapping (ORM), allowing developers to build robust applications. The book offers comprehensive insights into building secure applications with authentication and authorization mechanisms, as well as constructing efficient APIs and employing caching techniques for enhanced performance.Chapters on real-time applications and queues offer practical knowledge to optimize application responsiveness. Advanced package development and performance monitoring provide valuable tools for developing high-quality Laravel packages and debugging. You’ll also gain expertise in internationalization, front-end development, and database optimization.Building Real-Time Marvels with Laravel doesn't shy away from the latest trends, featuring chapters on serverless computing, progressive web applications (PWAs), and UI/UX design patterns. It also emphasizes security, DevOps, and infrastructure automation. Bonus appendixes feature a handy Laravel cheat sheet, recommended resources, and a glossary of essential terms, making it a comprehensive reference for Laravel enthusiasts.WHAT YOU WILL LEARN* Gain a comprehensive understanding of advanced routing, database management with eloquent ORM, authentication, and API development.* Study caching, database query optimization, queuing, and scaling strategies for high-traffic applications* Explore advanced middleware, real-time applications, testing, and package development WHO THIS BOOK IS FORIntermediate to advanced developers.SIVA SELVARAJ work focuses on modern technologies and industry best practices. These topics include frontend development techniques using HTML5, CSS3, and JavaScript frameworks; implementing responsive web design and optimizing user experience across devices; building dynamic web applications with server-side languages such as PHP, WordPress, and Laravel; and Database management and integration using SQL and MySQL databases He loves to share his extensive knowledge and experience to empower readers to tackle complex challenges and create highly functional and visually appealing websites.Chapter 1: Understanding the Laravel Ecosystem.- Chapter 2: Advanced Routing Techniques.- Chapter 3: Database Management and Eloquent ORM.- Chapter 4: Authentication and Authorization.- Chapter 5: Building APIs with Laravel.- Chapter 6: Caching and Performance Optimization.- Chapter 7: Advanced Middleware Techniques.- Chapter 8: Real-Time Applications with Laravel.- Chapter 9: Testing and Test-Driven Development.- Chapter 10: Queues and Job Scheduling.- Chapter 11: Advanced Package Development.-Chapter 12: Performance Monitoring and Debugging.- Chapter 13: Scaling Laravel Applications.- Chapter 14: Security Best Practices.- Chapter 15: Advanced Performance Optimization.- Chapter 16: Continuous Integration and Deployment.- Chapter 17: Laravel and Microservices.- Chapter 18: Advanced Laravel Debugging and Troubleshooting.-Chapter 19: Building Internationalized Applications with Laravel.- Chapter 20: Advanced Frontend Development with Laravel.- Chapter 21: Advanced Error Handling and Exception Management.- Chapter 22: Advanced Database Techniques and Optimization.- Chapter 23: Laravel and Serverless Computing.- Chapter 24: Building Progressive Web Applications (PWAs) with Laravel.- Chapter 25: Advanced UI/UX Design Patterns for Laravel.- Chapter 26: Advanced Analytics and Reporting in Laravel.- Chapter 27: Building Microservices with Laravel and Docker.- Chapter 28: Advanced Third-Party Integrations.- Chapter 29: Securing Laravel Applications.- Chapter 30: Advanced DevOps and Infrastructure Automation Appendix A: Laravel Cheat Sheet .- Appendix B: Recommended Resources.- Appendix C: Glossary of Terms
Pro Spring Security
Build and deploy secure Spring Framework and Spring Boot-based enterprise Java applications with the Spring Security Framework. This book explores a comprehensive set of functionalities to implement industry-standard authentication and authorization mechanisms for Java applications.Pro Spring Security, Third Edition has been updated to incorporate the changes in Spring Framework 6 and Spring Boot 3. It is an advanced tutorial and reference that guides you through the implementation of the security features for a Java web application by presenting consistent examples built from the ground up.This book also provides you with a broader look into Spring security by including up-to-date use cases such as building a security layer for RESTful web services and JSON Web Token applications.WHAT YOU WILL LEARN* Explore the scope of security and how to use the Spring Security Framework* Master Spring security architecture and design * Secure the web tier in Spring * Work with alternative authentication providers* Take advantage of business objects and logic security* Extend Spring security with other frameworks and languages* Secure the service layer* Secure the application with JSON Web TokenWHO THIS BOOK IS FORExperienced Spring and Java developers with prior experience in building Spring Framework or Boot-based applicationsMASSIMO NARDONE has more than 27 years of experience in information and cybersecurity for IT/OT/IoT/IIoT, web/mobile development, cloud, and IT architecture. His true IT passions are security and Android. He has been programming and teaching how to program with Android, Perl, PHP, Java, VB, Python, C/C++, and MySQL for more than 27 years. He holds an M.Sc. degree in computing science from the University of Salerno, Italy. Throughout his working career, he has held various positions starting as programming developer, then security teacher, PCI QSA, Auditor, Assessor, Lead IT/OT/SCADA/SCADA/Cloud Architect, CISO, BISO, Executive, Program Director, OT/IoT/IIoT Security Competence Leader, etc.In his last working engagement, he worked as a seasoned Cyber and Information Security Executive, CISO and OT, IoT and IIoT Security competence Leader helping many clients to develop and implement Cyber, Information, OT, IoT Security activities.His technical skills include Security, OT/IoT/IIoT, Android, Cloud, Java, MySQL, Drupal, Cobol, Perl, web and mobile development, MongoDB, D3, Joomla!, Couchbase, C/C++, WebGL, Python, Pro Rails, Django CMS, Jekyll, and Scratch. He has served as a visiting lecturer and supervisor for exercises at the Networking Laboratory of the Helsinki University of Technology (Aalto University).He stays current to industry and security trends, attending events, being part of a board such as the ISACA Finland Chapter Board, ISF, Nordic CISO Forum, Android Global Forum, etc.He holds four international patents (PKI, SIP, SAML, and Proxy areas). He currently works as a Cyber Security Freelancer for IT/OT and IoT. He has reviewed more than 55 IT books for different publishers and has coauthored Pro JPA 2 in Java EE 8 (Apress, 2018), Beginning EJB in Java EE 8 (Apress, 2018), and Pro Android Games (Apress, 2015).CARLO SCARIONI is a passionate software developer, motivated by learning and applying innovative and interesting software development tools, techniques, and methodologies. He has worked for more than 18 years in the field and moved across multiple languages, paradigms, and subject areas. He also has many years of experience working with Java and its ecosystem. He has been in love with Spring since the beginning and he is fascinated by how Spring allows building complex applications out of discrete, focused modules and by the clever use of decorators to add cross-cutting functionalities. In the last few years he has been working mostly with data engineering solutions. He has been creating solutions around the use of modern data stack components in cloud environments, while at the same time developing software using technologies such as Spark, Python, and others.
Frontend Development with JavaFX and Kotlin
Build elegant, responsive, and stable Java Virtual Machine-based client applications (Fat Clients) with modern user interfaces. This book introduces JavaFX as a frontend technology and utilizes Kotlin instead of Java for coding program artifacts to boost code expressiveness and maintainability. Author Peter Späth employs a hands-on approach, providing practical examples and code to demonstrate each concept. Mid-level Java programming knowledge and a basic understanding of Kotlin are the only prerequisites; experience with JavaFX and frontend coding is not essential.JavaFX is a modern frontend programming toolkit equipped with containers, menus, buttons, sliders, text fields, and various other controls necessary for communicating with your users, all of which are covered here. Despite its name, JavaFX applications can be coded with programming languages other than Java. The central requirement is that any language targeting JavaFX compiles to artifacts runnable on a Java Virtual Machine. Over the course of this book, you’ll learn firsthand why Kotlin, with its elegant and concise syntax, is a perfect match.After completing Frontend Development With JavaFX and Kotlin, you will be able to build frontends of mid-to-high level complexity, depending on present Java skills, and use Kotlin as a language for addressing GUI programming needs and accessing the JavaFX API.WHAT YOU WILL LEARN* Create a JavaFX + Kotlin development pipeline for Gradle, Eclipse and IntelliJ* Use JavaFX scenes, stages, and nodes/controls* Master JavaFX event handling, effects, and animation using Kotlin* Understand the JavaFX Concurrency Framework and Kotlin Coroutines for JavaFXWHO THIS BOOK IS FORLow- to mid-level Java or Kotlin developers with or without JavaFX experience who wish to learn how to build JavaFX applications with Kotlin.Peter Späth graduated in 2002 as a physicist and soon afterward became an IT consultant, mainly for Java-related projects. In 2016, he decided to concentrate on writing books on various aspects, but with the main focus on software development. With two books about graphics and sound processing, three books on Android app development, and a beginner’s book on Jakarta EE development, the author continues his effort in writing software development-related literature.Chapter 1: Getting started.- Chapter 2: Properties, Bindings, and Observable Collections.- Chapter 3: Stages and Scenes.- Chapter 4 : Nodes and Controls.- Chapter 5 : Lists and Tables.- Chapter 6 : Event Handling.- Chapter 7: Effects and Animation.- Chapter 8: Concurrency.
Python for Teenagers
This book, which is designed for middle-school through college-aged students, will arm beginners with solid programming foundations they can carry throughout life. It uses fun and simple language (and programming examples) to teach the fundamentals needed to start the down path of becoming a programmer. Python is a highly flexible language, allowing developers to enter any number of technical fields and is a welcome addition to any resume. With its low learning curve, it makes a great introductory language, as new developers can take the coding fundamentals they learn in Python and apply them to any other language.The second edition builds upon the foundation of the first book, revising all the chapters where the language has changed, updating the commands, code, and examples to bring it up to date with the current version of Python.Since Python is the most popular programming language in the world and can be used in conjunction with other languages - across multiple platforms - it can increase the reader's ability to qualify for a wider range of jobs than other languages. Finally, Python is fun - something not every programming language can boast!WHAT YOU WILL LEARN* Install and configure Python* Grasp basic software development principles and syntax* Understand the best practices for coding in Python* Create applications and debug codeWHO THIS BOOK IS FORThe book’s target audience is primarily middle school to college aged students looking to learn how to program computers and develop software. Older individuals and computer programmers who know other languages and want to add Python to their repertoire can also benefit from the book.James R. Payne was introduced to programming when he was just 10 years old. He started off hacking text-based games like Lemonade Stand to gain an advantage while playing and soon started creating his own text-based role-playing games in the style of Dungeons and Dragons and inspired by his favorite comic books. The enjoyment of those early days stuck with him, and he continues to be drawn back into the programming world throughout his career.Payne is the former Editor-in-Chief/Community Manager of Developer Shed, an online publication and community consisting of 14 websites and forums dedicated to programming, web development, and internet marketing. Presently, he is the Editor of Developer at TechnologyAdvice. He's written over a thousand articles on coding and marketing, covering virtually every language and platform available. His first book, Beginning Python (Wrox Press) was published in 2010. In addition, he has published over 3,000 articles covering topics ranging from gaming to aerospace/aeronautics, and also writes adult horror and young adult fantasy books.Payne decided to write this book to pass on his love of development in the hopes that it would inspire future generations to code.
ABAP - Das umfassende Handbuch
Dieses Buch ist ein unverzichtbares Hilfsmittel, ob als Begleiter während einer Einstiegsschulung oder als Nachschlagewerk. Es erklärt Ihnen alle Techniken, Sprachelemente und Werkzeuge der ABAP-Programmierung. Sie erlernen den Umgang mit ABAP Workbench und ABAP Development Tools und verstehen die wichtigen Konzepte von der objektorientierten Programmierung bis zu den neuen Programmiermodellen für SAP S/4HANA. Aus dem Inhalt: ABAP Workbench und ABAP Development Tools (Eclipse)ABAP DictionaryDatenbankzugriffe und neue Open SQL-FunktionenCDS und BOPFReports und SelektionsbildschirmeTests und PerformanceanalyseTransporte und JobverwaltungSchnittstellen, RFC und ErweiterungstechnikenKlassen, Methoden, Ereignisse und InterfacesABAP-Programmiermodell für SAP Fiori und ABAP-RESTful-ProgrammiermodellABAP Channels und ABAP Daemon FrameworkSAP NetWeaver 7.57Nützliche Übersichten und Glossar Einleitung ... 33 TEIL I. Die Werkzeugkiste des ABAP-Entwicklers ... 43 1. Die ABAP Workbench ... 45 1.1 ... Die Werkzeuge der ABAP Workbench ... 46 1.2 ... Der Object Navigator ... 47 1.3 ... Der Repository Browser ... 50 1.4 ... Der ABAP Editor ... 52 2. Die ABAP Development Tools ... 69 2.1 ... SAPs Eclipse-Strategie ... 69 2.2 ... Installation und Konfiguration ... 71 2.3 ... Ein System anbinden ... 75 2.4 ... Einen Report anlegen ... 76 2.5 ... Die Menüleiste und wichtige Tastaturkürzel ... 77 2.6 ... Der Pretty Printer und weitere Quellcodefunktionen ... 81 2.7 ... Die Musterfunktion ... 81 2.8 ... Der Debugger ... 83 2.9 ... Dokumentation mit ABAP Doc ... 89 2.10 ... Refactoring-Funktionen ... 93 3. Das ABAP Dictionary ... 97 3.1 ... Domänen ... 99 3.2 ... Datenelemente ... 104 3.3 ... Strukturen ... 107 3.4 ... Tabellentypen ... 109 3.5 ... Datenbanktabellen ... 112 3.6 ... Indizes ... 118 3.7 ... Typgruppen ... 119 3.8 ... Views ... 120 3.9 ... Pflegedialoge ... 124 3.10 ... Suchhilfen ... 128 3.11 ... Datenbank-Utility-Tool ... 131 3.12 ... Das Sperrkonzept ... 132 4. Transaktionen ... 135 4.1 ... Transaktionen anlegen ... 136 4.2 ... Transaktionen mit ABAP aufrufen ... 140 5. Der Function Builder ... 143 5.1 ... Der Aufbau eines Funktionsbausteins ... 143 5.2 ... Einen Funktionsbaustein anlegen ... 146 5.3 ... Funktionsbausteine testen ... 147 5.4 ... Funktionsgruppen ... 148 6. Der Class Builder ... 151 6.1 ... Klassen anlegen ... 151 6.2 ... Ausnahmeklassen anlegen ... 163 6.3 ... Interfaces anlegen ... 164 TEIL II. Der Kern der Sprache ABAP ... 165 7. Die ABAP-Grundbefehle ... 167 7.1 ... Syntaxregeln ... 168 7.2 ... Kommentare ... 169 7.3 ... Die SAP-Hilfe ... 170 7.4 ... Datendeklaration ... 171 7.5 ... Inline-Deklarationen ... 183 7.6 ... Typdefinitionen ... 185 7.7 ... Initialisierung ... 188 7.8 ... Steueranweisungen ... 189 7.9 ... Rechenoperationen ... 196 7.10 ... Ausgabeanweisungen ... 199 7.11 ... Meldungen ... 201 7.12 ... Mit Zeichenketten arbeiten ... 203 7.13 ... Konstruktorausdrücke ... 216 7.14 ... Operandenpositionen ... 227 7.15 ... Änderungen und Neuerungen bis ABAP 7.57 ... 229 8. Mit internen Tabellen arbeiten ... 231 8.1 ... Tabellenarten ... 232 8.2 ... Interne Tabellen definieren ... 234 8.3 ... Interne Tabellen initialisieren ... 238 8.4 ... Zeilen hinzufügen ... 239 8.5 ... Inhalt auslesen ... 250 8.6 ... Einträge löschen ... 264 8.7 ... Inhalt ändern ... 265 8.8 ... Interne Tabellen kopieren ... 270 8.9 ... Interne Tabellen aufbereiten ... 272 8.10 ... Eingebaute Funktionen für interne Tabellen ... 279 8.11 ... Änderungen und Neuerungen im Umfeld von internen Tabellen bis ABAP 7.57 ... 281 9. Zugriff auf Datenbanken ... 285 9.1 ... Die fünf goldenen Regeln ... 286 9.2 ... Die Open-SQL-Anweisung SELECT ... 288 9.3 ... Open-SQL-Ausdrücke ... 315 9.4 ... Open-SQL-Funktionen ... 321 9.5 ... Ändernde Open-SQL-Anweisungen ... 334 9.6 ... Sekundäre Datenbankverbindungen ... 343 9.7 ... Natives SQL ... 343 9.8 ... ABAP Core Data Services (CDS) ... 346 9.9 ... Änderungen und Neuerungen im Umfeld von Open SQL bis ABAP 7.57 ... 378 9.10 ... Änderungen und Neuerungen im Umfeld von CDS bis ABAP 7.57 ... 381 10. Zugriff auf SAP-HANA-Entwicklungsobjekte ... 385 10.1 ... Aufruf von SAP-HANA-Views ... 385 10.2 ... Aufruf von Datenbankprozeduren ... 388 10.3 ... ABAP Managed Database Procedures (AMDP) ... 391 10.4 ... Änderungen und Neuerungen beim Zugriff auf SAP-HANA-Entwicklungsobjekte bis ABAP 7.57 ... 396 11. Die ABAP-Objects-Syntax ... 399 11.1 ... Grundaufbau einer Klasse ... 400 11.2 ... Sichtbarkeiten ... 403 11.3 ... Datentypen und Attribute ... 404 11.4 ... Methoden ... 405 11.5 ... Konstruktoren ... 412 11.6 ... Ereignisse ... 415 11.7 ... Vererbung ... 418 11.8 ... Klassenarten ... 420 11.9 ... Ausnahmen für Methoden ... 422 11.10 ... Freunde ... 428 11.11 ... Interfaces ... 428 11.12 ... Das ABAP-Objects-Muster ... 432 11.13 ... Casting ... 433 11.14 ... Objekttyp überprüfen ... 434 11.15 ... Änderungen und Neuerungen in ABAP Objects bis ABAP 7.57 ... 436 12. Reports und Selektionsbildschirme ... 437 12.1 ... Ereignisse eines Reports ... 438 12.2 ... Eingabeelemente ... 439 12.3 ... Strukturierungselemente für den Selektionsbildschirm ... 449 12.4 ... Ereignisse eines Selektionsbildschirms ... 453 12.5 ... Textelemente ... 457 12.6 ... Nachrichtenklassen ... 461 12.7 ... Einen Report mit ABAP aufrufen ... 464 12.8 ... SPA-/GPA-Parameter ... 466 13. Strukturierungselemente in ABAP ... 469 13.1 ... Unterprogramme ... 470 13.2 ... Makros ... 476 13.3 ... Includes ... 478 13.4 ... Funktionsbausteine ... 481 13.5 ... Datenkonsistenz ... 487 14. Die Dynpro-Programmierung ... 489 14.1 ... Dynpros anlegen ... 490 14.2 ... Ablauflogik eines Dynpros ... 494 14.3 ... SAP Control Framework ... 502 14.4 ... Pop-up-Fenster ... 506 TEIL III. Techniken zur Qualitätssicherung ... 511 15. Tests und Qualitätskontrolle ... 513 15.1 ... Der ABAP Debugger ... 513 15.2 ... Das Debugging-Skript ... 532 15.3 ... Der Code Inspector ... 538 15.4 ... ABAP Unit ... 542 15.5 ... Das ABAP Test Cockpit ... 551 16. Werkzeuge und Tipps zur Performanceanalyse ... 555 16.1 ... Richtlinien für die ABAP-Entwicklung ... 556 16.2 ... Transaktion SAT: Laufzeitanalyse ... 558 16.3 ... Transaktion SE30: Die alte Laufzeitanalyse ... 562 16.4 ... SQL-Monitor ... 564 16.5 ... SQL Performance Tuning Worklist ... 568 16.6 ... Transaktion ST05 ... 569 16.7 ... Laufzeitanalyse mithilfe der ABAP-Programmierung ... 573 16.8 ... Application Log ... 575 17. Das Transportwesen ... 581 17.1 ... Die SAP-Systemlandschaft ... 582 17.2 ... Transportaufträge ... 585 18. Die Jobverwaltung ... 597 18.1 ... Transaktion SM36: Jobs definieren ... 597 18.2 ... Transaktion SM37: Jobs überwachen und freigeben ... 604 18.3 ... Ereignisse für Jobs ... 605 18.4 ... Jobs mit ABAP definieren ... 606 TEIL IV. Fortgeschrittene Programmiertechniken ... 609 19. Tabellenanzeige mit dem SAP List Viewer (ALV) ... 611 19.1 ... Die alte ALV-Anzeige ... 613 19.2 ... Die neue ALV-Anzeige ... 632 19.3 ... SAP List Viewer mit integriertem Datenzugriff (IDA) ... 647 19.4 ... Mehrere ALV-Tabellen auf einer Oberfläche ... 662 20. SAP-Schnittstellen ... 665 20.1 ... RFC-Funktionsbausteine ... 666 20.2 ... Business-Objekte und BAPIs ... 668 20.3 ... Flat Files ... 679 20.4 ... Webservices (SOAP) ... 686 20.5 ... Batch Input ... 702 20.6 ... Einführung in die Legacy System Migration Workbench (LSMW) ... 709 21. SAP-Erweiterungen ... 711 21.1 ... User Exits ... 711 21.2 ... Customer Exits ... 714 21.3 ... Klassische Business Add-ins (BAdIs) ... 718 21.4 ... Enhancement Framework ... 722 21.5 ... Neue Business Add-ins (BAdIs) ... 742 21.6 ... Switch Framework ... 755 21.7 ... Suche nach Erweiterungen ... 757 22. SAP-Formularentwicklung ... 759 22.1 ... Der Druckdialog ... 761 22.2 ... SAPscript ... 762 22.3 ... SAP Smart Forms ... 770 22.4 ... SAP Interactive Forms by Adobe ... 780 22.5 ... Generierung von PDFs ... 785 23. Business Object Processing Framework ... 791 23.1 ... Aufbau von Geschäftsobjekten ... 794 23.2 ... Anwendung der Consumer-API ... 805 24. Fortgeschrittene Programmiertechniken ... 821 24.1 ... Object Services ... 822 24.2 ... Mit XML und JSON arbeiten ... 830 24.3 ... Daten im Memory ablegen ... 835 24.4 ... Parallelisierung ... 842 24.5 ... Dynamische Erzeugung von Datenobjekten ... 844 24.6 ... Runtime Type Services (RTTS) ... 850 24.7 ... Dynamisches SQL ... 860 24.8 ... Das ABAP Daemon Framework (ADF) ... 862 24.9 ... ABAP Channels ... 870 TEIL V. Objektorientierte Programmierung ... 883 25. Grundlagen der Objektorientierung ... 885 25.1 ... Einführung für ABAP-Entwickler ... 885 25.2 ... Klassen und Objekte ... 891 25.3 ... Instanziierung ... 894 25.4 ... Datenkapselung ... 897 25.5 ... Ereignisse ... 900 25.6 ... Vererbung ... 902 25.7 ... Klassenarten ... 907 25.8 ... Interfaces ... 908 25.9 ... Polymorphie ... 912 25.10 ... Zusammenfassung ... 914 26. Unified Modeling Language (UML) ... 917 26.1 ... Anwendungsfalldiagramm ... 918 26.2 ... Klassendiagramm ... 923 27. Anwendungsentwicklung -- wo fange ich an? ... 933 27.1 ... Anforderungsermittlung ... 935 27.2 ... Analyse ... 940 27.3 ... Entwurf ... 944 28. Entwurfsmuster ... 947 28.1 ... Singleton ... 948 28.2 ... Fabrikmethode ... 950 28.3 ... Model View Controller ... 955 28.4 ... Fassade ... 963 28.5 ... Observer ... 964 28.6 ... Objektorientierte Reports ... 971 TEIL VI. Ein Blick über den Tellerrand: Was Sie als ABAP-Entwickler sonst noch kennen sollten ... 975 29. ABAP-Programmiermodelle ... 977 29.1 ... Das klassische Programmiermodell ... 980 29.2 ... Die Innovation für die Zukunft ... 982 29.3 ... Das ABAP-Programmiermodell für SAP Fiori ... 983 29.4 ... Das ABAP RESTful Application Programming Model ... 987 30. SAP HANA ... 999 30.1 ... Überblick ... 1000 30.2 ... Architektur ... 1001 30.3 ... Migration auf SAP HANA ... 1005 30.4 ... SAP-HANA-Objekte ... 1006 30.5 ... Volltextsuchen ... 1010 31. SAPUI5, SAP Fiori und SAP Gateway ... 1019 31.1 ... SAPUI5 ... 1020 31.2 ... SAP Fiori ... 1022 31.3 ... OData ... 1024 31.4 ... SAP Gateway ... 1030 31.5 ... Entwicklung eines OData-Service ... 1032 31.6 ... Überblick über die Implementierung der CRUDQ-Methoden ... 1044 32. Andere SAP-Webtechnologien ... 1053 32.1 ... Business Server Pages (BSP) ... 1054 32.2 ... Web Dynpro ABAP ... 1061 32.3 ... Internet Communication Framework ... 1079 Anhang ... 1083 A ... Das SAP-Flugdatenmodell ... 1085 B ... Übersicht der ABAP-Anweisungen ... 1087 C ... Eingebaute Datentypen ... 1097 D ... Transaktionscodes ... 1099 E ... Wichtige Systemfelder ... 1103 F ... Technische Tabellen ... 1105 G ... Nützliche Funktionsbausteine ... 1107 H ... Klassen ... 1111 I ... Namenskonventionen für die Programmierung ... 1113 J ... Systemglossar und Suche nach fremdsprachigen SAP-Begriffen ... 1117 K ... Glossar ... 1119 Der Autor ... 1125 Index ... 1127
XML
Dieses Buch liefert Ihnen fundiertes Wissen zu den XML-Grundlagen und zum Einsatz von XML in der Software- und Webentwicklung, im E-Publishing und im Office-Bereich. Das Buch ist modular aufgebaut, sodass Sie XML von Grund auf lernen oder gezielt nachschlagen können, was Sie wissen möchten. Profitieren Sie von den vielen Praxisbeispielen und entwickeln Sie Ihre individuellen Anwendungen.
Python Graphics
This book shows how to use Python’s built-in graphics primitives - points, lines, and arrows – to create complex graphics for the visualization of two- and three-dimensional objects, data sets, and technical illustrations.This updated edition provides more detailed explanations where required, especially regarding Python code, and explores scientific applications to topics of contemporary importance. You’ll learn how to create any 2D or 3D object or illustration, as well as how to display images, use color, translate, rotate, shade, add shadows that are cast on other objects, remove hidden lines, plot 2D and 3D data, fit lines and curves to data sets, display points of intersection between 2D and 3D objects, and create digital art. Demonstrations are included which illustrate graphics programming techniques by example, the best way to learn a language.Also brand new to this edition are demonstrations on how to visualize electron probability clouds around a nucleus, climate change, ecological diversity, population dynamics, and resource management. Python source code, including detailed explanations, is included for all applications, making the book more accessible to novice Python programmers.After completing this book, you will be able to create compelling graphic images without being limited to functions available in existing Python libraries.WHAT YOU WILL LEARN* Create 2D and 3D graphic images* Add text and symbols to images* Shade 3D objects* Display cast shadows* Use color for maximum effect* View 2D and 3D data sets* Fit lines and curves to data setsWHO THIS BOOK IS FORPython developers, scientists, engineers, and students who use Python to produce technical illustrations and display and analyze data sets. Assumes familiarity with vectors, matrices, geometry and trigonometry.DR. BERNARD J. KORITES holds degree from Tufts and Yale. He has been involved in engineering and scientific applications of computers for his entire career. He has been an educator, consultant, and author of more than ten books on geometric modeling, computer graphics, simulation of physical processes, and the application of computers in science and engineering.He has been employed by Northrop Aviation, the Woods Hole Oceanographic Institute, Arthur D. Little, and Itek. He has consulted for the US Navy, Aberdeen Proving Grounds, and others. He was Chief Engineer on an expedition to take the longest sediment core sample in the North Atlantic aboard the Canadian Icebreaker John Cabot. He has made numerous dives aboard the submersible Alvin and has spent time aboard the USBCF Albatross. Early in his Career, he developed software to find physical interference between systems of solid objects. This found wide application in the design of power plants, submarines, and other systems with densely packed spaces.CHAPTER 1: ESSENTIAL PYTHON COMMANDS AND FUNCTIONSProgramming style, the plotting area, Size of the plotting area, importing plottingcommands, displaying the plotting area, the plotting grid, saving a plot, grid color,tick marks, custom grid lines, labelling the axes, plot title, colors - mixing, intensity,overplotting, background color, plotting area shape, correcting shape distortions, coordinate exes, commonly used plotting commands and functions, point, dots, lines,arrows, text in plots, lists, tuples and arrays.CHAPTER 2: GRAPHICS IN TWO DIMENSIONSMaking lines from dots, dot art, circular arcs from dots, circular arcs from line segments, circles, dot circles, ellipses, 2D translation, 2D rotation.CHAPTER 3: GRAPHICS IN THREE DIMENSIONSThe 3-dimensional coordinate system, projections onto the coordinate planes, rotationsaround the y, x and z directions, separate rotations around the coordinate directions,sequential rotations around the coordinate directions, matrix concatenation, keyboarddata entry with functional program structure.CHAPTER 4: PERSPECTIVE3D objects with perspective transformation.CHAPTER 5: INTERSECTIONS3D Lines intersecting 3D rectangular plane, triangular planes, circle, circular sector,sphere, plane intersecting a sphere.CHAPTER 6: HIDDEN LINE REMOVALbox, pyramid, planes, sphere.CHAPTER 7: SHADINGShading a box, a sphere.CHAPTER 8: 2D DATA PLOTTINGLinear regression, function fitting, splines.CHAPTER 9: 3D DATA PLOTTING3D surfaces, surface shading.CHAPTER 10: DEMONSTRATION - SATURNCHAPTER 11: DEMONSTRATION - THE SUNsolar radiation, photons and the Sun, Max Planck’s black body radiation, the Sun’stotal power output, Earth’s irradiance, the Sun Earth model.CHAPTER 12: DEMONSTRATION - ELECTRON PROBABILITY CLOUDSCHAPTER 13: DEMONSTRATION - CLIMATE CHANGECHAPTER 14: DEMONSTRATION - ECOLOGICAL DIVERSITYCHAPTER 15: DEMONSTRATION - POPULATION DYNAMICSCHAPTER 16: DEMONSTRATION - RESOURCE MANAGEMENTCHAPTER 17: DEMONSTRATION - MORE IMAGES OF SATURNAppendix A: Where to Get PythonAppendix B: Planck’s Radiation Law and the Stefan-Boltzmann EquationAppendix C: A Primer on Python ProgrammingAppendix D: Standard Python Programming Functions
Handbuch Data Science mit Python (2. Auflage)
Handbuch Data Science mit Python. Grundlegende Tools für die Arbeit mit Daten. Übersetzung der 2. Auflage. November 2023.Für viele Data Scientists ist Python die Sprache der Wahl, weil zahlreiche ausgereifte Bibliotheken zum Speichern, Bearbeiten und Auswerten von Daten verfügbar sind. Jake VanderPlas versammelt in dieser 2. Auflage seines Standardwerks alle wichtigen Datenanalyse Tools in einem Band und erläutert deren Einsatz in der Praxis. Beschrieben werden IPython, Jupyter, NumPy, Pandas, Matplotlib, Scikit Learn und verwandte Werkzeuge.Für Datenanalystinnen und analysten und Data Cruncher mit Python Kenntnissen ist dieses umfassende Handbuch von unschätzbarem Wert bei der Erledigung ihrer täglichen Aufgaben. Dazu gehören die Manipulation, Umwandlung und Bereinigung von Daten, die Visualisierung verschiedener Datentypen sowie die Nutzung von Daten zum Erstellen von Statistiken und Machine Learning Modellen.Dieses Handbuch beschreibt die folgenden Tools: IPython und Jupyter bieten eine Umgebung für Berechnungen, die von vielen Data Scientists genutzt wirdNumPy stellt das ndarray zum effizienten Speichern und Bearbeiten dicht gepackter Datenarrays bereitPandas verfügt über das DataFrameObjekt für die Speicherung und Manipulation gelabelter und spaltenorientierter DatenMatplotlib ermöglicht die flexible und vielseitige Visualisierung von DatenScikitLearn unterstützt bei der Implementierung der wichtigsten und gebräuchlichsten Algorithmen für das Machine Learning.Jake VanderPlas ist Software Engineer bei Google Research und arbeitet an Tools, die datenintensive Forschung unterstützen. Er entwickelt Python-Tools für den Einsatz in der Data Science, darunter Pakete wie Scikit-Learn, SciPy, AstroPy, Altair, JAX und viele andere. Er engagiert sich in der Data-Science-Community, konzipiert Tutorials zu Themen des wissenschaftlichen Computings und hält Vorträge auf vielen verschiedenen Konferenzen in der Data-Science-Welt.Leseprobe (PDF-Link)
Creating Responsive Websites Using HTML5 and CSS3
Learn to implement web designs using HTML5 and CSS3. This book focuses on the need for responsive web design and how you can leverage HTML5 and CSS3 to create interactive websites that work in the real world. You do not need be a technology expert or have a prior coding background to benefit from this book. All you need is a want to learn and a curious mind to explore the full spectrum of features HTML5 and CSS3 have to offer.You'll see how to migrate legacy websites to responsive websites in a very easy-to-understand, step-by-step, manner. Additionally, you will learn to use supportive software to create, run, and debug any issues that may arise during the development process. This book will also show you how to implement websites that work on multiple devices, and on various browsers such as Opera, Chrome, internet Explorer, or Edge. All this will be explored with supporting files, open-source software, as well as a practical guide to creating your demo website along with learning new technologies.From the basics to more advanced topics, Creating Responsive Websites Using HTML and CSS is for anyone who wants to learn about and build beautiful responsive websites.WHAT YOU'LL LEARN* Code and design websites using HTML5 and CSS3 * Design professional-looking websites using colors, margins, images, and other aspects* Create a responsive design that will work on laptops, PCs, and any kind of mobile device* Troubleshoot and fix code errors independently using developer tools* Solve cross-browser responsiveness issues and the challenges that come with different operating systemsWHO THIS BOOK IS FORStudents and/or website designers who want to upskill their talentsVARUN GOR has over 14 years of experience in creating websites using java, HTML, CSS, and JavaScript technologies worked with major IT with exposure to a global clientele. Varun graduated in Computer Science from Visvesvaraya Technological University in2007 and has been part of the corporate world ever since. Along with his innate nature to explore technology, Varun is interested in outdoor activities and has been part of club cricket and played division 3 league matches, been on a night trek near Bengaluru, and explored the city (less city more food) on his bike. Apart from outdoor activities, he enjoys binge-watching good movies and tv shows (recently on web series) and at times he disconnects himself from the world around him using a device named headphones. Recently he has developedChapter 1 Introduction to Web Development.- Chapter 2 HTML5 and Responsive Web Design.- Chapter 3 Cascading Style Sheets & Layouts.- Chapter 4 Media Queries.- Chapter 5 CSS Selectors, Color Modes & More.- Chapter 6 Animations & Transitions in CSS3.- Chapter 7 Background and Shadows in CSS.- Chapter 8 Forms with HTML.- Chapter 9 Cross Browser Challenges and How to resolve it.
SPS für Dummies
SPS OHNE STRESSWenn Sie Maschinen oder Anlagen mithilfe einer SPS auch ohne Vorkenntnisse steuern möchten, dann ist dieses Buch für Sie gemacht. Ob Aufbau der Hardware, Installation und Verdrahtung oder Erstellung von Programmen: Jederzeit leicht verständlich erläutert Ihnen Oliver Tonn Grundlagen und fortgeschrittene Techniken der SPS-Programmierung. Dabei lernen Sie SPS sowohl herstellerunabhängig kennen als auch Besonderheiten der verschiedenen Hersteller. Mit zahlreichen Praxisbeispielen vertiefen Sie Ihr Wissen und wenden es schon bald in komplexeren Szenarien erfolgreich an. SIE ERFAHREN* Wie Sie ein SPS-Projekt und -Programm erstellen* Wie Sie einen Antrieb steuern * Wie Sie mit TwinCAT 3 und TIA visualisieren * Wie Sie Fehler vermeiden und behebenOLIVER TONN ist seit 2003 selbständig und unterstützt seit 2008 Industrieunternehmen als SPS-Entwickler bei der Programmierung und Inbetriebnahme von Steuerungsanlagen. Darüber hinaus führt er regelmäßig Schulungen zur SPS-Programmierung durch, und hilft anderen im deutschsprachigen SPS-Forum bei Problemen.
Java lernen - kurz & gut
Dieses Buch ist für vielbeschäftigte Programmierer:innen, die eine knappe und dennoch gut verständliche Einführung in Java als eine seit Jahren populäre Programmiersprache suchen. Java lernen – kurz & gut bietet einen unterhaltsamen Einstieg und informiert Sie über viele Java-Themen, die Ihnen helfen werden, schnell durchzustarten:- Installation von Java und einer Entwicklungsumgebung - Schnelleinstieg in die wichtigsten Aspekte - Basisbausteine wie Strings, Arrays, Zufallszahlen, Fallunterscheidungen und Schleifen - Klassen und objektorientierte Programmierung - Datencontainer wie Listen, Mengen und Maps - Fortgeschrittene Themen zu Collections wie Lambdas und Streams - Datumsverarbeitung inklusive Berechnungen - Dateiverarbeitung und Behandlung von Fehlern mit ExceptionsTrotz seines kompakten Formats liefert dieses Buch eine fundierte Einführung und eine Fülle an leicht nachvollziehbaren Beispielen, die zum Experimentieren einladen. Es unterstützt Sie optimal dabei, Ihre Java-Kenntnisse auf- und auszubauen. Insbesondere wenn Sie bereits ein wenig mit z.B. C++ oder C# vertraut sind, ist dieses Buch die ideale Wahl, um fundiert in Java einzusteigen und eigene Experimente zu beginnen.Dipl.-Inform. Michael Inden ist Oracle-zertifizierter Java-Entwickler. Nach seinem Studium in Oldenburg hat er bei diversen internationalen Firmen in verschiedenen Rollen etwa als Softwareentwickler, -architekt, Consultant, Teamleiter, CTO sowie Leiter Academy gearbeitet. Nach rund 1,5 Jahren als freiberuflicher Autor und Trainer ist er seit Januar 2022 als Head of Development in Zürich tätig. Michael Inden hat über zwanzig Jahre Berufserfahrung beim Entwurf komplexer Softwaresysteme gesammelt und an diversen Fortbildungen sowie mehreren Java-One-Konferenzen teilgenommen. Sein besonderes Interesse gilt dem Design qualitativ hochwertiger Applikationen sowie dem Coaching. Sein Wissen gibt er gerne als Trainer in internen und externen Schulungen und auf Konferenzen weiter, etwa bei der JAX/W-JAX, JAX London, Oracle Code One, ch.open sowie bei der Java User Group Switzerland.
Arduino
* Alle Komponenten der Hardware für Arduino UNO R4 und R3 * Verwendung der digitalen und analogen Ports, Einsatzbeispiele mit Sensoren, Aktoren und Anzeigen * Beispielprojekte wie Gefrierschrankwächter, Miniroboter mit Fernsteuerung, Geschwindigkeitsmesser und Internetanwendungen wie XML-Reader und Wetterstation Arduino besteht aus einem Mikrocontroller und der dazugehörigen kostenlosen Programmierumgebung. Aufgrund der einfachen C-ähnlichen Programmiersprache eignet sich die Arduino-Umgebung für alle Bastler und Maker, die auf einfache Weise Mikrocontroller programmieren möchten, ohne gleich Technik-Freaks sein zu müssen. Dieses Buch ermöglicht einen leichten Einstieg in die Arduino-Plattform. Der Autor bietet Ihnen eine praxisnahe Einführung und zeigt anhand vieler Beispiele, wie man digitale und analoge Signale über die Ein- und Ausgänge verarbeitet. Darüber hinaus lernen Sie, wie man verschiedene Sensoren wie Temperatur-, Umwelt-, Beschleunigungs- und optische Sensoren für Anwendungen mit dem Arduino-Board einsetzen kann. Anschließend werden Servo- und Motoranwendungen beschrieben. Dabei wird ein kleiner Roboter realisiert, der ferngesteuert werden kann. Im Praxiskapitel beschreibt der Autor verschiedene Internetanwendungen mit dem Arduino. Mittels einer Ethernet-Verbindung wird Ihr Arduino Umweltdaten sammeln und verarbeiten können. Als Projekt wird eine Wetterstation realisiert, die Wetterinformationen aus dem Internet abruft und Wetter- und Sensordaten auf einem Display darstellt. Zum Abschluss werden verschiedene Werkzeuge und Hilfsmittel sowie Softwareprogramme für den Basteleinsatz beschrieben und Sie erfahren, wie die Arduino-Anwendung im Miniformat mit ATtiny realisiert werden kann. Mit dem Wissen aus diesem Praxis-Handbuch können Sie Ihre eigenen Ideen kreativ umsetzen. Aus dem Inhalt: * Hardwarekomponenten * Entwicklungsumgebung * Eingänge und Ausgänge verarbeiten * Einsatz von Sensoren, Aktoren und Anzeigen * Serielle Datenübertragung * Daten sammeln und speichern * Softwarebibliotheken und Hardware-Erweiterungen * Praxisanwendungen wie Kompass, Fieberthermometer, Wasserwaage, Netzteil und Roboter * Internetanwendungen mit Arduino wie RSS-Reader und Wetterstation, WiFi mit ESP8266 * Eigene DIY-Boards und Arduino-Clones * Arduino im Miniformat mit ATtiny * Tools für Praktiker Thomas Brühlmann arbeitet als Consultant und hat langjährige Erfahrung in der Hardware- und Softwareentwicklung. Nebenbei realisiert er Projekte mit Open-Source-Hardware, hält Vorträge und führt Workshops durch. In seinem Blog unter arduino-praxis.ch verfolgt er die aktuelle Entwicklung des Arduino-Projektes und publiziert Projekte, Anwendungen, Tipps und Tricks.
Arduino Praxiseinstieg (5. Auflg.)
Die 5. Auflage aus November 2023. Behandelt Arduino UNO R4 und R3.Arduino besteht aus einem Mikrocontroller und der dazugehörigen kostenlosen Programmierumgebung. Aufgrund der einfachen C-ähnlichen Programmiersprache eignet sich die Arduino-Umgebung für alle Bastler und Maker, die auf einfache Weise Mikrocontroller programmieren möchten, ohne gleich Technik-Freaks sein zu müssen.Dieses Buch ermöglicht einen leichten Einstieg in die Arduino-Plattform. Der Autor bietet Ihnen eine praxisnahe Einführung und zeigt anhand vieler Beispiele, wie man digitale und analoge Signale über die Ein- und Ausgänge verarbeitet.Darüber hinaus lernen Sie, wie man verschiedene Sensoren wie Temperatur-, Umwelt-, Beschleunigungs- und optische Sensoren für Anwendungen mit dem Arduino-Board einsetzen kann. Anschließend werden Servo- und Motoranwendungen beschrieben. Dabei wird ein kleiner Roboter realisiert, der ferngesteuert werden kann.Im Praxiskapitel beschreibt der Autor verschiedene Internetanwendungen mit dem Arduino-Board. Mittels einer Ethernet-Verbindung wird Ihr Arduino Umweltdaten sammeln und verarbeiten können. Als Projekt wird eine Wetterstation realisiert, die Wetterinformationen aus dem Internet abruft und Wetter- und Sensordaten auf einem Display darstellt.Zum Abschluss werden verschiedene Werkzeuge und Hilfsmittel sowie Softwareprogramme für den Basteleinsatz beschrieben und Sie erfahren, wie die Arduino-Anwendung im Miniformat mit ATtiny realisiert werden kann.Mit dem Wissen aus diesem Praxis-Handbuch können Sie Ihre eigenen Ideen kreativ umsetzen.Aus dem Inhalt:HardwarekomponentenEntwicklungsumgebungEingänge und Ausgänge verarbeitenEinsatz von Sensoren, Aktoren und AnzeigenSerielle DatenübertragungDaten sammeln und speichernSoftwarebibliotheken und Hardware-ErweiterungenPraxisanwendungen wie Kompass, Fieberthermometer, Wasserwaage, Netzteil und RoboterInternetanwendungen mit Arduino wie RSS-Reader und Wetterstation, WiFi mit ESP8266Eigene DIY-Boards und Arduino-ClonesArduino im Miniformat mit ATtinyTools für PraktikerInhaltsverzeichnis und Leseprobe (PDF-Link)Downloads zum Buch (zip-Datei von mitp-Seite)Über den Autor:Thomas Brühlmann arbeitet als Consultant und hat langjährige Erfahrung in der Hardware- und Softwareentwicklung. Nebenbei realisiert er Projekte mit Open-Source-Hardware, hält Vorträge und führt Workshops durch. In seinem Blog unter arduino-praxis.ch verfolgt er die aktuelle Entwicklung des Arduino-Projektes und publiziert Projekte, Anwendungen, Tipps und Tricks.
Distributed Machine Learning with PySpark
Migrate from pandas and scikit-learn to PySpark to handle vast amounts of data and achieve faster data processing time. This book will show you how to make this transition by adapting your skills and leveraging the similarities in syntax, functionality, and interoperability between these tools.Distributed Machine Learning with PySpark offers a roadmap to data scientists considering transitioning from small data libraries (pandas/scikit-learn) to big data processing and machine learning with PySpark. You will learn to translate Python code from pandas/scikit-learn to PySpark to preprocess large volumes of data and build, train, test, and evaluate popular machine learning algorithms such as linear and logistic regression, decision trees, random forests, support vector machines, Naïve Bayes, and neural networks.After completing this book, you will understand the foundational concepts of data preparation and machine learning and will have the skills necessary to apply these methods using PySpark, the industry standard for building scalable ML data pipelines.WHAT YOU WILL LEARN* Master the fundamentals of supervised learning, unsupervised learning, NLP, and recommender systems* Understand the differences between PySpark, scikit-learn, and pandas* Perform linear regression, logistic regression, and decision tree regression with pandas, scikit-learn, and PySpark* Distinguish between the pipelines of PySpark and scikit-learnWHO THIS BOOK IS FORData scientists, data engineers, and machine learning practitioners who have some familiarity with Python, but who are new to distributed machine learning and the PySpark framework.ABDELAZIZ TESTAS, PH.D., is a data scientist with over a decade of experience in data analysis and machine learning, specializing in the use of standard Python libraries and Spark distributed computing. He holds a Ph.D. in Economics from Leeds University and a Master's degree in Finance from Glasgow University. He has also earned several certificates in computer science and data science.In the last ten years, he has worked for Nielsen in Fremont, California as a Lead Data Scientist focused on improving the company’s audience measurement through planning, initiating, and executing end-to-end data science projects and methodology work. He has created advanced solutions for Nielsen’s digital ad and content rating products by leveraging subject matter expertise in media measurement and data science. He is passionate about helping others improve their machine learning skills and workflows, and is excited to share his knowledge and experience with a wider audience through this book.Chapter 1: An Easy Transition.- Chapter 2: Selecting Algorithms.- Chapter 3: Multiple Linear Regression with Pandas, Scikit-Learn, and PySpark.- Chapter 4: Decision Trees for Regression with Pandas, Scikit-Learn, and PySpark.- Chapter 5: Random Forests for Regression with Pandas, Scikit-Learn, and PySpark.- Chapter 6: Gradient-Boosted Tree Regression with Pandas, Scikit-Learn and PySpark.- Chapter 7: Logistic Regression with Pandas, Scikit-Learn and PySpark.- Chapter 8: Decision Tree Classification with Pandas, Scikit-Learn and PySpark.- Chapter 9: Random Forest Classification with Scikit-Learn and PySpark.- Chapter 10: Support Vector Machine Classification with Pandas, Scikit-Learn and PySpark.- Chapter 11: Naïve Bayes Classification with Pandas, Scikit-Learn and PySpark.- Chapter 12: Neural Network Classification with Pandas, Scikit-Learn and PySpark.- Chapter 13: Recommender Systems with Pandas, Surprise and PySpark.- Chapter 14: Natural Language Processing with Pandas, Scikit-Learn and PySpark.- Chapter 15: K-Means Clustering with Pandas, Scikit-Learn and PySpark.- Chapter 16: Hyperparameter Tuning with Scikit-Learn and PySpark.- Chapter 17: Pipelines with Scikit-Learn and PySpark.- Chapter 18: Deploying Models in Production with Scikit-Learn and PySpark.
Learn Microservices with Spring Boot 3
This book will show you how to build Java-based microservices architecture using the popular Spring Boot framework by evolving a small monolith application to an event-driven architecture composed of several services. This third edition has been updated to cover Spring Boot 3, including its compatibility with Java 17 and Jakarta EE 10, and employs an incremental approach to teach the structure of microservices, test-driven development, and common patterns in distributed systems such as service discovery, load balancing, routing, centralized logs, per-environment configuration, and containerization.Authors Moisés Macero and Tarun Telang get the ball rolling by introducing you to the fundamentals of microservices and Spring Boot before walking you through the development of a basic Spring Boot application. You’ll then see how to build a front end using React, and learn how to use the data layer to read and write data from and to other systems via Spring Boot and its access to Spring Data and its available APIs. Putting together what you've learned thus far, you’ll begin to transform an application from a monolith to a microservice.This pragmatic approach will enable you to better grasp the benefits of using this type of software architecture, instead of keeping you distracted with theoretical concepts. The emphasis is on what matters most, starting with the minimum viable product, while maintaining the ability to adapt and improve your application as needed. After completing this book, you will have the foundational knowledge necessary to build your own microservice-based applications using Spring Boot.WHAT YOU WILL LEARN* Gain a thorough understanding of microservices architecture and how it differs from monolithic architectures.* Discover the step-by-step process of breaking down a monolithic application into smaller, focused services* Build microservices with Spring Boot 3, Spring Data, Spring Cloud, React.js, Docker, Cucumber, and more* Develop Java-based microservices using the latest version of Spring Boot, compatible with Java 17 and Jakarta EE 10.* Discover architecture patterns for distributed systems such as asynchronous processing, eventual consistency, resilience, scalability, and more* Gain insight into event-driven communication patterns and understand how to design and build event-driven microservices* Trace every request from beginning to end with Sleuth and centralized logging* Deploy your microservices anywhere as Docker containersWHO THIS BOOK IS FORThose with at least some prior experience with Java programming. Some prior exposure to Spring Boot recommended but not required.MOISÉS MACERO GARCÍA has been a software developer since he was a kid, when he started playing around with BASIC on his ZX Spectrum. During his career, Moisés has most often worked in development and architecture for small and large projects, and for his own startups as well. He enjoys making software problems simple, and he likes working in teams where he can not only coach others, but also learn from them. Moisés is the author of the blog thepracticaldeveloper.com, where he shares solutions for technical challenges, guides, and his view on different ways of working in IT companies. He also organizes workshops for companies that need a practical approach to software engineering. In his free time, he enjoys traveling and hiking.TARUN TELANG is a seasoned technologist with a wealth of experience in designing and implementing highly scalable software applications. With an impressive career spanning over 18 years, Tarun has been a valuable contributor to renowned companies such as Microsoft, Oracle, Polycom, and SAP. He began his career as an enterprise Java developer at SAP, where he honed his skills in crafting distributed business applications tailored for large enterprises. Through his dedication to continuous learning and professional development, he has become an Oracle Certified Java Programmer and SAP Certified Development Consultant for Java Web Application Servers.
Introduction to Responsible AI
Learn and implement responsible AI models using Python. This book will teach you how to balance ethical challenges with opportunities in artificial intelligence.The book starts with an introduction to the fundamentals of AI, with special emphasis given to the key principles of responsible AI. The authors then walk you through the critical issues of detecting and mitigating bias, making AI decisions understandable, preserving privacy, ensuring security, and designing robust models. Along the way, you’ll gain an overview of tools, techniques, and code examples to implement the key principles you learn in real-world scenarios.The book concludes with a chapter devoted to fostering a deeper understanding of responsible AI’s profound implications for the future. Each chapter offers a hands-on approach, enriched with practical insights and code snippets, enabling you to translate ethical considerations into actionable solutions.WHAT YOU WILL LEARN* Understand the principles of responsible AI and their importance in today's digital world* Master techniques to detect and mitigate bias in AI* Explore methods and tools for achieving transparency and explainability* Discover best practices for privacy preservation and security in AI* Gain insights into designing robust and reliable AI modelsWHO THIS BOOK IS FORAI practitioners, data scientists, machine learning engineers, researchers, policymakers, and students interested in the ethical aspects of AIAVINASHMANURE is a seasoned machine learning professional with more than ten years of experience in building, deploying, and maintaining state-of-the-art machine learning solutions across different industries. He has more than six years of experience in leading and mentoring high performance teams in developing ML systems catering to different business requirements. He is proficient in deploying complex machine learning and statistical modeling algorithms/ and techniques for identifying patterns and extracting valuable insights for key stakeholders and organizational leadership.He is the author of Learn Tensorflow 2.0 and Introduction to Prescriptive AI, both with Apress.Avinash holds a bachelor’s degree in Electronics Engineering from Mumbai University and earned his Masters in Business Administration (Marketing) from the University of Pune. He resides in Bangalore with his wife and child. He enjoys travelling to new places and reading motivational books.SHALEEN is a machine learning engineer with 4+ years of experience in building, deploying, and managing cutting-edge machine learning solutions across varied industries. He has developed several frameworks and platforms that have significantly streamlined processes and improved efficiency of machine learning teams.SHALEEN BENGANI has authored the book Operationalizing Machine Learning Pipelines as well as three research papers in the deep learning space.He holds a bachelors degree in Computer Science and Engineering from BITS Pilani, Dubai Campus, where he was awarded the Director’s Medal for outstanding all-around performance. In his leisure time, he likes playing table tennis and reading.SARAVANAN S is an AI engineer with more than six years of experience in data science and data engineering. He has developed robust data pipelines for developing and deploying advanced machine learning models, genratinginsightful reports, and ensuring cutting edge solutions for diverse industries.Saravanan earned a masters degree in statistics from Loyola College from Chennai. In his spare time he likes traveling, reading books and playing games.
Applied Generative AI for Beginners
This book provides a deep dive into the world of generative AI, covering everything from the basics of neural networks to the intricacies of large language models like ChatGPT and Google Bard. It serves as a one-stop resource for anyone interested in understanding and applying this transformative technology and is particularly aimed at those just getting started with generative AI.Applied Generative AI for Beginners is structured around detailed chapters that will guide you from foundational knowledge to practical implementation. It starts with an introduction to generative AI and its current landscape, followed by an exploration of how the evolution of neural networks led to the development of large language models. The book then delves into specific architectures like ChatGPT and Google Bard, offering hands-on demonstrations for implementation using tools like Sklearn. You’ll also gain insight into the strategic aspects of implementing generative AI in an enterprise setting, with the authors covering crucial topics such as LLMOps, technology stack selection, and in-context learning. The latter part of the book explores generative AI for images and provides industry-specific use cases, making it a comprehensive guide for practical application in various domains.Whether you're a data scientist looking to implement advanced models, a business leader aiming to leverage AI for enterprise growth, or an academic interested in cutting-edge advancements, this book offers a concise yet thorough guide to mastering generative AI, balancing theoretical knowledge with practical insights.WHAT YOU WILL LEARN* Gain a solid understanding of generative AI, starting from the basics of neural networks and progressing to complex architectures like ChatGPT and Google Bard* Implement large language models using Sklearn, complete with code examples and best practices for real-world application* Learn how to integrate LLM’s in enterprises, including aspects like LLMOps and technology stack selection* Understand how generative AI can be applied across various industries, from healthcare and marketing to legal compliance through detailed use cases and actionable insightsWHO THIS BOOK IS FORData scientists, AI practitioners, Researchers and software engineers interested in generative AI and LLMs.AKSHAY KULKARNI is an AI and machine learning evangelist and IT leader. He has assisted numerous Fortune 500 and global firms in advancing strategic transformations using AI and data science. He is a Google Developer Expert, author, and regular speaker at major AI and data science conferences (including Strata, O’Reilly AI Conf, and GIDS). He is also a visiting faculty member for some of the top graduate institutes in India. In 2019, he was featured as one of the top 40 under-40 Data Scientists in India. He enjoys reading, writing, coding, and building next-gen AI products.ADARSHA S is a data science and ML Ops leader. Presently, he is focused on creating world-class ML Ops capabilities to ensure continuous value delivery using AI. He aims to build a pool of exceptional data scientists within and outside the organization to solve problems through training programs, and always wants to stay ahead of the curve. He has worked in the pharma, healthcare, CPG, retail, and marketing industries. He lives in Bangalore and loves to read and teach data science.ANOOSH KULKARNI is a data scientist and ML Ops engineer. He has worked with various global enterprises across multiple domains solving their business problems using machine learning and AI. He has worked at Awok-dot-com, one of the leading e-commerce giants in UAE, where he focused on building state of art recommender systems and deep learning-based search engines. He is passionate about guiding and mentoring people in their data science journey. He often leads data sciences/machine learning meetups, helping aspiring data scientists carve their career road map.DILIP GUDIVADA is a seasoned senior data architect with 13 years of experience in cloud services, big data, and data engineering. Dilip has a strong background in designing and developing ETL solutions, focusing specifically on building robust data lakes on the Azure cloud platform. Leveraging technologies such as Azure Databricks, Data Factory, Data Lake Storage, PySpark, Synapse, and Log Analytics, Dilip has helped organizations establish scalable and efficient data lake solutions on Azure. He has a deep understanding of cloud services and a track record of delivering successful data engineering projects.
Maschinelles Lernen - Grundlagen und Anwendungen
In diesem Fachbuch werden vorwiegend die Grundlagen des Maschinellen Lernens erläutert. Die Hauptthemen sind die mathematischen Grundlagen, Optimierungsmethoden und die ML-Algorithmen. Es wird zu jedem Kapitel mindestens eine Beispiel-Übung durchgeführt. Die Übungen könnten durch Python-Code ergänzt werden. Zusätzlich werden Aufgabenstellungen definiert, dies dient der Festigung des in dem jeweiligen Kapitel gelernten. Spezielle Anwendungen sollen ebenfalls dargestellt werden. Die Zielgruppe sind hauptsächlich Studierende, welche sich in dieses Themengebiet einarbeiten möchten. Ingenieure können allerdings ebenfalls von diesem Fachbuch profitieren, da ein großer Schwerpunkt bei der Anwendung von ML liegt. Besonders die Verwendung in interdisziplinären Fachrichtungen wie der Regelungstechnik, Bildverarbeitung und der Chemie werden aufgezeigt.Mein Name ist Benny Botsch und studierte Maschinenbau an der Technischen Universität in Berlin. Ich arbeite seit einigen Jahren als wissenschaftlicher Mitarbeiter bei der Gesellschaft zur Förderung angewandter Informatik e.V. (GFaI e.V.) im Bereich der Bildverarbeitung / Industrielle Anwendungen. Dabei entwickle ich Software zur Auswertung von 2D-Materialbildern durch klassische Bildverarbeitung (Objekterkennung, Kantenerkennung), aber auch durch neuronale Netze, um Materialkennwerte zu ermitteln.Inhaltsverzeichnis1 Einführung1.1 Was ist maschinelles Lernen1.2 Überwachtes Lernen1.2.1 Klassifikation und Regression1.2.2 Generalisierung, Überanpassung und Unteranpassung1.3 Unüberwachtes Lernen1.4 Bestärkendes Lernen1.5 Teilüberwachte Lernen1.6 Herausforderungen des maschinellen Lernens1.6.1 Unzureichende Menge an Trainingsdaten1.6.2 Nicht repräsentative Trainingsdaten1.6.3 Daten von schlechter Qualität1.6.4 Irrelevante Merkmale1.6.5 Explainable Artificial Intelligence1.7 Bewertung und Vergleich von Algorithmen1.7.1 Kreuzvalidierung1.7.2 Messfehler1.7.3 Intervallschätzung1.7.4 Hypothesenprüfung1.8 Werkzeuge und Ressourcen1.8.1 Installation von Python mit Anaconda1.8.2 Entwicklungsumgebungen1.8.3 Python Bibliotheken1.8.4 Grundlagen in Python2 Lineare Algebra2.1 Skalare, Vektoren und Matrizen2.1.1 Operationen mit Skalaren und Vektoren 2.1.2 Operationen mit Vektoren und Matrizen2.1.3 Die Inverse einer Matrix2.2 Lineare Gleichungssysteme2.2.1 Gauß-Algorithmus2.2.2 Numerische Lösungsmethoden linearer Gleichungssysteme3 Wahrscheinlichkeit und Statistik3.1 Grundbegriffe der Wahrscheinlichkeit3.2 Zufallsgrößen und Verteilungsfunktionen3.3 Momente einer Verteilung3.3.1 Erwartungswert und Streuung3.3.2 Schiefe und Exzess3.4 Bedingte Wahrscheinlichkeiten3.5 Deskriptive Statistik3.6 Einfache statistische Tests3.6.1 Ablauf eines statistischen Tests3.6.2 Parametertests bei normalverteilter Grundgesamtheit3.6.3 Mittelwerttest3.6.4 ����2 Streuungstest4 Optimierung4.1 Grundlagen der Optimierung4.1.1 Univariate Optimierung4.1.2 Bivariate Optimierung4.1.3 Multivariate Optimierung4.2 Gradient Descent4.2.1 Momentum-Based Learning4.2.2 AdaGrad4.2.3 Adam4.3 Newton Methode5 Parametrische Methoden5.1 Regressionsanalyse5.1.1 Lineare Regression5.1.2 Logistische Regression5.2 Lineare Support Vector Machines5.2.1 Die optimale Trennebene5.2.2 Soft-Margin5.2.3 Kernfunktionen5.3 Der Bayessche Schätzer5.3.1 Stochastische Unabhängigkeit5.3.2 Bayessche Netze5.4 Neuronale Netze5.4.1 Das künstliche Neuron5.4.2 Mehrschichtige Neuronale Netze5.4.3 Lernvorgang5.5 Deep Learning5.5.1 Convolutional Neural Networks5.5.2 Rekurrent Neural Networks5.5.3 Generative Modelle6 Nichtparametrische Methoden6.1 Nichtparametrische Dichteschätzung6.1.1 Histogrammschätzer6.1.2 Kernschätzer6.1.3 ����-Nächste-Nachbarn-Schätzer6.2 Entscheidungsbäume6.2.1 Univariate Bäume6.2.2 Multivariate Bäume6.2.3 Pruning6.2.4 Random Forest7 Bestärkendes Lernen7.1 Was ist bestärkendes Lernen7.1.1 Belohnung7.1.2 Der Agent7.1.3 Die Umgebung7.1.4 Aktionen7.1.5 Beobachtungen7.2 Theoretische Grundlagen7.2.1 Markov Entscheidungsprozesse7.2.2 Markov Prozess7.2.3 Markov Belohnungsprozess7.2.4 Policy7.3 Wertebasierte Verfahren7.3.1 Grundlagen der Wertefunktion und der Bellman-Gleichung7.3.2 Q-Learning7.3.3 SARSA7.3.4 Deep Q-Networks (DQN)7.4 Policybasierte Verfahren7.4.1 Policy Gradien7.4.2 Actor-Critic-Verfahren7.4.3 Soft Actor-Critic (SAC)8 Custeranalyse8.1 ����-Means-Clustermethode8.2 Hierarchisches Clustermethode 8.3 Gaußsche Mischmodelle9 Anwendungen9.1 Regelungstechnik9.1.1 Systemidentifikation9.1.2 Neuronaler Regler9.1.3 Regelung eines inversen Pendels9.2 Bildverarbeitung9.2.1 Klassifikation von Zahlen9.2.2 Segmentierung von Bruchflächen9.2.3 Objekterkennung mit Vision Transformers9.2.4 Künstliche Generierung von Bildern9.2.5 Interpretierbarkeit von Vision-Modellen mit Grad-CAM9.3 Chemie9.3.1 Klassifizierung von Wein9.3.2 Vorhersage von Eigenschaften organischer Moleküle9.4 Physik9.4.1 Statistische Versuchsplanung optimieren9.4.2 Vorhersage von RANS-Strömungen9.5 Generierung von Text9.5.1 Textgenerierung mit einem Miniatur-GPT9.5.2 Englisch-Spanisch-Übersetzung mit TensorFlow9.6 Audiodatenverarbeitung9.6.1 Automatische Spracherkennung mit CTC9.6.2 Klassifizierung von Sprechern mit FFTLiteraturverzeichnis
Flutter & Dart Kochbuch
Flutter & Dart Kochbuch. Cross-Platform-Apps für die Cloud entwickeln. November 2023.Lernen Sie die Grundlagen der App-Entwicklung mit Flutter und Dart kennen, um Cross-Platform-Apps zu erstellen, die den modernen Anforderungen einer Cloud-gesteuerten Welt gerecht werden. Flutter ist ideal für die Frontend-Entwicklung und hilft Ihnen, plattformübergreifende Anwendungen für die Betriebssysteme Android, iOS, Linux, macOS, Windows und Google Fuchsia zu entwickeln.Das Dart-SDK bietet nativen Zugriff auf Lösungen von Drittanbietern, einschließlich APIs, Datenbanken und Authentifizierung. Zusammen bilden Flutter und Dart eine optimale Lösung für die Entwicklung von plattformübergreifenden Anwendungen. Die Rezepte in diesem Kochbuch zeigen Ihnen anhand von konkreten, praxisnahen und unterhaltsamen Beispielen, wie Sie diese starke Kombination erfolgreich einsetzen – egal ob Sie gerade erst in die Entwicklung mit Flutter einsteigen oder schnell etwas nachschlagen wollen.Aus dem Inhalt:Effektiven Dart-Code mithilfe von Variablen und Datenstrukturen schreibenAnwendungen mit Widgets und Datenverarbeitung erstellen Lösungen von verschiedenen Cloud-Anbietern mit Flutter integrieren Daten über APIs mit Google Cloud Serverless verwaltenMit Firebase-Lösungen wie der Cloud-Firestore-Datenbank arbeiten Webanwendungen, die mit mobilen und Desktop-Plattformen funktionieren, erstellenRichard Rose liebt es, Dinge in der Cloud zu bauen und mit verschiedenen Technologien zu basteln. Er nimmt gerne an technischen Konferenzen teil, um mit anderen Leuten über neue Technologien zu sprechen. Seine Steckenpferde sind Kubernetes und Serverless.Leseprobe (PDF-Link)
Python Crashkurs (3. Auflg.)
Python Crashkurs. Eine praktische, projektbasierte Programmiereinführung. 3., überarbeitete und aktualisierte Auflage.Der Schnellkurs für angehende Python-Profis»Python Crashkurs« zählt zu den weltweiten Bestsellern unter den Einführungen in die Programmiersprache Python. Mit dieser kompakten und gründlichen Anleitung werden Sie in kürzester Zeit Programme schreiben, Probleme lösen und funktionierende Anwendungen entwickeln.Zu Beginn führt Sie Autor Eric Matthes in grundlegende Programmierkonzepte wie Variablen, Listen, Klassen und Schleifen ein. Sie werden Ihr neues Wissen in die Praxis umsetzen, indem Sie ein von »Space Invaders« inspiriertes Arcade-Spiel konzipieren und eine Reihe von Datenvisualisierungen mit den praktischen Python-Bibliotheken programmieren.Mit den Übungen des Buches lernen Sieleistungsfähige Python-Bibliotheken und -Werkzeuge zu verwenden, darunter pytest, Pygame, Matplotlib, Plotly und Djangoimmer komplexere 2D-Spiele zu erstellen, die auf Tastendruck und Mausklicks reagieren Anwendungen zu bauen, mit denen Benutzer Konten erstellen und ihre Daten verwalten können. Stellen Sie Anwendungen online bereit.interaktive Datenvisualisierungen mit einer Vielzahl von Datensätzen zu generierenProgrammierfehler zu beheben und klassische Programmierprobleme zu lösenNeu in dieser Auflage: Diese 3. Auflage wurde komplett auf den jüngsten Stand des Python-Codes gebracht. Zu den neuen und aktualisierten Themen gehören VS Code für die Textbearbeitung, das pathlib-Modul für die Dateiverwaltung, pytest für das Testen Ihres Codes sowie die neuesten Funktionen von Matplotlib, Plotly und Django.Wenn Sie in die Programmierung einsteigen wollen, wird Ihnen »Python Crashkurs« die Fähigkeiten vermitteln, schnell echte Programme zu schreiben.Rezensionen:»Der Autor bietet wieder einen didaktisch überzeugenden, fundierten Python-Schnellkurs, der schon bei den allgemeinen, grundlegenden Programmierkonzepten ansetzt und damit auch schon für Programmieranfänger geeignet ist. Viele Übungsaufgaben (Lösungen online) und Zusammenfassungen erleichtern das Nachvollziehen des Stoffes und die Lernkontrolle.« (ekz-Informationsdienst, Januar 2024)Zielgruppe: Programmiereinsteiger*innen – StudierendeLeseprobe (PDF-Link)Zusatzinformationen hierÜber den Autor:Eric Matthes ist High-School-Lehrer für Naturwissenschaften und Mathematik in Alaska und gibt dort auch Einführungskurse in Python. Programme schreibt er seit dem Alter von fünf Jahren. Zurzeit konzentriert er sich darauf, Software zu entwickeln, die Lernverfahren effizienter machen soll und die Vorteile von Open-Source-Programmen auf den Bildungsbereich überträgt. Seine Freizeit verbringt er mit Klettern und mit seiner Familie.
Python Crashkurs
Der Schnellkurs für angehende Python-Profis - Verwenden Sie Python-Bibliotheken und -Werkzeuge, darunter pytest, Pygame, Matplotlib, Plotly und Django - Behebung von Programmierfehlern und Lösung gängiger Programmierprobleme - Neu in dieser Ausgabe: u.a. VS Code für die Textbearbeitung und das pathlib-Modul für die Dateiverwaltung »Python Crashkurs« zählt zu den weltweiten Bestsellern unter den Einführungen in die Programmiersprache Python. Mit dieser kompakten und gründlichen Anleitung werden Sie in kürzester Zeit Programme schreiben, Probleme lösen und funktionierende Anwendungen entwickeln. Zu Beginn führt Sie Autor Eric Matthes in grundlegende Programmierkonzepte wie Variablen, Listen, Klassen und Schleifen ein. Sie werden Ihr neues Wissen in die Praxis umsetzen, indem Sie ein von »Space Invaders« inspiriertes Arcade-Spiel konzipieren und eine Reihe von Datenvisualisierungen mit den praktischen Python-Bibliotheken programmieren. Mit den Übungen des Buches lernen Sie - leistungsfähige Python-Bibliotheken und -Werkzeuge zu verwenden, darunter pytest, Pygame, Matplotlib, Plotly und Django - immer komplexere 2D-Spiele zu erstellen, die auf Tastendruck und Mausklicks reagieren - Anwendungen zu bauen, mit denen Benutzer Konten erstellen und ihre Daten verwalten können. Stellen Sie Anwendungen online bereit. - interaktive Datenvisualisierungen mit einer Vielzahl von Datensätzen zu generieren - Programmierfehler zu beheben und klassische Programmierprobleme zu lösen Neu in dieser Auflage: Diese 3. Auflage wurde komplett auf den jüngsten Stand des Python-Codes gebracht. Zu den neuen und aktualisierten Themen gehören VS Code für die Textbearbeitung, das pathlib-Modul für die Dateiverwaltung, pytest für das Testen Ihres Codes sowie die neuesten Funktionen von Matplotlib, Plotly und Django. Wenn Sie in die Programmierung einsteigen wollen, wird Ihnen »Python Crashkurs« die Fähigkeiten vermitteln, schnell echte Programme zu schreiben.