Computer und IT
Adobe Illustrator - Das umfassende Handbuch (9. Auflg.)
Generationen von Illustrator-Anwendern haben dieses hilfreiche Nachschlagewerk von Monika Gause bereits im Regal stehen. Klar strukturiert und leicht verständlich erläutert es wirklich alle Werkzeuge und Funktionen und zeigt, wie Sie mit Illustrator kreativ arbeiten können. Ein umfassendes Lern- und Nachschlagewerk für jeden Illustrator-Anwender. Aus dem Inhalt: Die ArbeitsumgebungVektorgrafik-GrundlagenGeometrische Objekte und TransformationenPfade konstruieren und bearbeitenFarbe, Verläufe, VerlaufsgitterFlächen und KonturenTransparenzen, MaskenEffekte, PathfinderText und TypografieDiagramme, Muster, Raster, SymbolePerspektive und 3D-Live-EffekteAustausch, Weiterverarbeitung, Druck
Hacking und Cyber Security mit KI
Erforschen Sie die faszinierende Welt der Cyber-Sicherheit! Das umfassende Buch für Einsteiger und Interessierte. Cyber-Sicherheit ist heute relevanter denn je. Die heutige Zeit erfordert ein tiefes Verständnis für Cyber-Sicherheit. Das Buch „Hacking und Cyber Security mit KI“ begleitet Sie auf Ihrer Reise, um die Grundlagen zu verstehen und sich vor modernen digitalen Bedrohungen zu schützen. Lernen Sie von einem Experten: Der Autor Florian Dalwigk hat umfassende Erfahrung im Bereich der Informatik. Nach einem dualen Informatik-Studium bei der Landeshauptstadt München sowie in der IT-Abteilung eines Krankenhauses und einer Behörde hat er sich als renommierter Sicherheitsforscher etabliert. Mit über 90.000 Abonnenten auf seinem YouTube-Kanal ist er eine prominente Figur in der IT-Community. Schritt für Schritt zur Cyber-Sicherheit: In diesem Buch werden komplexe Themen der Cyber-Sicherheit verständlich erklärt. Von KI-gestützten Angriffen von Hackern bis hin zur Erkennung von Phishing-Mails. Angriffe auf KI-Modelle und darauf basierende Anwendungen werden aufgedeckt – von Prompt-Injection bis Model Stealing. Sie erhalten eine klare Einführung in das aufstrebende Gebiet des Prompt-Engineering, das Ihnen ermöglicht, Hacking-Tools wie gobuster, hydra, fcrackzip und Passwort-Cracker zu beherrschen und anzupassen.Dieses Buch ist nicht nur ideal für Einsteiger, es ist auch eine wertvolle Ressource für Technologie-Enthusiasten und Sicherheitsinteressierte. Ihre Vorteile auf einen Blick: Klar strukturiert: Perfekt für Einsteiger, um sich Schritt für Schritt in die Welt der Cyber-Sicherheit einzufinden. Verständliche Erklärungen: Komplexe Konzepte werden verständlich dargestellt, begleitet von anschaulichen Beispielen. Umfassende Einsichten: Von KI-gestützten Angriffen bis zum Prompt-Engineering, hier finden Sie alle Werkzeuge, die Sie benötigen. Expertenwissen: Florian Dalwigk, ein angesehener Sicherheitsforscher, teilt sein fundiertes Wissen mit Ihnen. Digitale Kompetenz: Tauchen Sie ein und entdecken Sie, wie Sie die Welt der Cyber-Sicherheit beherrschen können. Sparen Sie sich teure Kurse und verbessern Sie Ihre Kenntnisse von digitaler Sicherheit bequem von Zuhause aus. Machen Sie sich bereit für ein Abenteuer in der Cyberwelt und bestellen Sie jetzt „Hacking und Cyber Security mit KI“ von Florian Dalwigk.Florian André Dalwigk ist Informatiker. Bereits während seines Studiums hat er Studenten in zahlreichen Tutorien geholfen. Nach seinem Studium der Informatik hat er in der IT eines großen Kankenhauses und bei einer Bundesbehörde gearbeitet. Sein fachlicher Schwerpunkt liegt in den Bereichen "IT Sicherheit" und "Datenanalyse". Seit April 2022 ist er als freiberuflicher Autor, YouTuber und Video-Journalist tätig.
Konzeption eines IT-basierten Entscheidungsunterstützungssystems für die Gestaltung dezentraler Datenhaltungen in analytischen Informationssystemen
Der steigende Stellenwert von Daten als Ressource und die zunehmende Ausweitung des Aufgabenspektrums der IT-basierten Entscheidungsunterstützung verändern die logischen Architekturen analytischer Informationssysteme. Insbesondere die Datenhaltungen entwickeln sich vermehrt von zentralen Konstrukten hin zu dezentralen Konglomeraten verschiedenster Speicheransätze. Die zunehmend heterogenen Technologien und die häufig unzureichenden Erfahrungen mit neuartigen Konzepten erhöhen die Komplexität in der Planung und dem Betrieb analytischer Systemlandschaften. Das Ziel dieser Arbeit ist daher die Konzeption eines IT-basierten Entscheidungsunterstützungssystems für die Gestaltung dezentraler Datenhaltungen in analytischen Informationssystemen. Es wird ein Fachkonzept für die Überführung von Architekturansätzen aus realen Umgebungen in abstrahierte Architekturmuster sowie für die fallspezifische Ableitung von Handlungsempfehlungen entwickelt, prototypisch als Software-Werkzeug implementiert und evaluiert. Das hierbei entwickelte Verständnis eines Architekturmusters ermöglicht durch die Kombination von fachlichen-orientierten analytischen Capabilitites und technischen Aspekten eine ganzheitliche und systematische Unterstützung von IT-Architekturentscheidungen. Der Autor Julian Ereth ist als Forscher im Themenbereich Business Intelligence & Analytics (BIA) aktiv. Darüber hinaus ist er als Solution Architect beratend in der freien Wirtschaft tätig. Der steigende Stellenwert von Daten als Ressource und die zunehmende Ausweitung des Aufgabenspektrums der IT-basierten Entscheidungsunterstützung verändern die logischen Architekturen analytischer Informationssysteme. Insbesondere die Datenhaltungen entwickeln sich vermehrt von zentralen Konstrukten hin zu dezentralen Konglomeraten verschiedenster Speicheransätze. Die zunehmend heterogenen Technologien und die häufig unzureichenden Erfahrungen mit neuartigen Konzepten erhöhen die Komplexität in der Planung und dem Betrieb analytischer Systemlandschaften. Das Ziel dieser Arbeit ist daher die Konzeption eines IT-basierten Entscheidungsunterstützungssystems für die Gestaltung dezentraler Datenhaltungen in analytischen Informationssystemen. Es wird ein Fachkonzept für die Überführung von Architekturansätzen aus realen Umgebungen in abstrahierte Architekturmuster sowie für die fallspezifische Ableitung von Handlungsempfehlungen entwickelt, prototypisch als Software-Werkzeug implementiertund evaluiert. Das hierbei entwickelte Verständnis eines Architekturmusters ermöglicht durch die Kombination von fachlichen-orientierten analytischen Capabilitites und technischen Aspekten eine ganzheitliche und systematische Unterstützung von IT-Architekturentscheidungen. Einleitung.- Grundlagen und Bezugsrahmen.- Empirische Exploration.- Entwicklung eines Fachkonzepts.- Prototypische Umsetzung und Evaluation.- Schlussbetrachtung.- Literaturverzeichnis. Julian Ereth ist als Forscher im Themenbereich Business Intelligence & Analytics (BIA) aktiv. Darüber hinaus ist er als Solution Architect beratend in der freien Wirtschaft tätig.
The Power of Artificial Intelligence for the Next-Generation Oil and Gas Industry
THE POWER OF ARTIFICIAL INTELLIGENCE FOR THE NEXT-GENERATION OIL AND GAS INDUSTRYCOMPREHENSIVE RESOURCE DESCRIBING HOW OPERATIONS, OUTPUTS, AND OFFERINGS OF THE OIL AND GAS INDUSTRY CAN IMPROVE VIA ADVANCEMENTS IN AIThe Power of Artificial Intelligence for the Next-Generation Oil and Gas Industry describes the proven and promising digital technologies and tools available to empower the oil and gas industry to be future-ready. It shows how the widely reported limitations of the oil and gas industry are being nullified through the application of breakthrough digital technologies and how the convergence of digital technologies helps create new possibilities and opportunities to take this industry to its next level. The text demonstrates how scores of proven digital technologies, especially in AI, are useful in elegantly fulfilling complicated requirements such as process optimization, automation and orchestration, real-time data analytics, productivity improvement, employee safety, predictive maintenance, yield prediction, and accurate asset management for the oil and gas industry. The text differentiates and delivers sophisticated use cases for the various stakeholders, providing easy-to-understand information to accurately utilize proven technologies towards achieving real and sustainable industry transformation. The Power of Artificial Intelligence for the Next-Generation Oil and Gas Industry includes information on:* How various machine and deep learning (ML/DL) algorithms, the prime modules of AI, empower AI systems to deliver on their promises and potential* Key use cases of computer vision (CV) and natural language processing (NLP) as they relate to the oil and gas industry* Smart leverage of AI, the Industrial Internet of Things (IIoT), cyber physical systems, and 5G communication* Event-driven architecture (EDA), microservices architecture (MSA), blockchain for data and device security, and digital twinsClearly expounding how the power of AI and other allied technologies can be meticulously leveraged by the oil and gas industry, The Power of Artificial Intelligence for the Next-Generation Oil and Gas Industry is an essential resource for students, scholars, IT professionals, and business leaders in many different intersecting fields. PETHURU RAJ CHELLIAH, PHD, is the Vice President and Chief Architect at Reliance Jio Platforms Ltd. In Bangalore, India. VENKATRAMAN JAYASANKAR is the Lead Solutions Architect (Upstream) at a leading oil and gas company. MATS AGERSTAM is a Principal Engineer at Intel’s Network and Edge Group, Portland, Oregon, USA. B. SUNDARAVADIVAZHAGAN, PHD, is a Professor with the Department of Information Technology at the University of Technology and Applied Sciences Al Mussanah, Oman. ROBIN CYRIAC, PHD, is a Professor with the Department of Information Technology at the University of Technology and Applied Sciences Al Mussanah, Oman. About the Authors xxiiiForeword xxvPreface xxvii1 A PERSPECTIVE OF THE OIL AND GAS INDUSTRY 11.1 Exploration and Production 21.2 Midstream Transportation 41.3 Downstream–Refining and Marketing 61.4 Meaning of Different Terms of Products Produced by the Oil and Gas Industry 71.5 Oil and Gas Pricing 161.6 A Note on Renewable Energy Sources 171.7 Environmental Impact 201.8 Uses of Hydrogen 202 ARTIFICIAL INTELLIGENCE (AI) FOR THE FUTURE OF THE OIL AND GAS (O&G) INDUSTRY 232.1 Introduction 232.2 The Emergence of Digitization Technologies and Tools 242.3 Demystifying Digitalization Technologies and Tools 252.4 Briefing the Potentials of Artificial Intelligence (AI) 252.5 AI for the Oil and Gas (O&G) Industry 272.6 Computer Vision (CV)-Enabled Use Cases 342.7 Natural Language Processing (NLP) Use Cases 362.8 Robots in the Oil and Gas Industry 362.9 Drones in the Oil and Gas Industry 372.10 AI Applications for the Oil and Gas (O&G) Industry 392.11 Better Decision-Making Using AI 412.12 Cloud AI vs. Edge AI for the Oil and Gas Industry 442.13 AI Model Optimization Techniques 472.14 Conclusion 483 ARTIFICIAL INTELLIGENCE FOR SOPHISTICATED APPLICATIONS IN THE OIL AND GAS INDUSTRY 513.1 Introduction 513.2 Oil and Gas Industry 523.3 Artificial Intelligence 543.4 Lifecycle of Oil and Gas Industry 543.5 Applications of AI in Oil and Gas industry 563.6 Chatbots 563.7 Optimized Procurement 593.8 Drilling, Production, and Reservoir Management 613.9 Inventory Management 623.10 Well Monitoring 643.11 Process Excellence and Automation 643.12 Asset Tracking and Maintenance/Digital Twins 653.13 Optimizing Production and Scheduling 673.14 Emission Tracking 683.15 Logistics Network Optimizations 693.16 Conclusion 704 DEMYSTIFYING THE OIL AND GAS EXPLORATION AND EXTRACTION PROCESS 734.1 Process of Crude Oil Formation 734.2 Composition of Crude Oil 744.3 Crude Oil Classification 744.4 Crude Oil Production Process 764.5 Oil Exploration 774.6 Oil Extraction 784.7 Processing of Crude Oil 814.8 Overview of Refining 884.9 Marketing and Distribution of Oil and Gas 924.10 End of Production 934.11 Factors Influencing the Timing of Oil and Gas Exploration and Production 934.12 Non-revenue Benefits of the Oil and Gas Industry 954.13 Conclusion 955 EXPLAINING THE MIDSTREAM ACTIVITIES IN THE OIL AND GAS DOMAIN 975.1 Introduction 975.2 Role of Midstream Sector in Oil and Gas Industry 985.3 Midstream Oil and Gas Operations 995.4 Technological Advancements in Midstream Sector 1045.5 Midstream Sector Challenges 1115.6 Conclusion 1146 THE SIGNIFICANCE OF THE INDUSTRIAL INTERNET OF THINGS (IIOT) FOR THE OIL AND GAS SPACE 1176.1 Overview of IIoT 1176.2 Technical Innovators of Industrial Internet 1256.3 IoT for Oil and Gas Sector 1276.4 Rebellion of IoT in the Oil and Gas Sector 1326.5 Oil and Gas Remote Monitoring Systems 1366.6 Advantages of IIOT for the Oil and Gas Industry 1426.7 Conclusion 1447 THE POWER OF EDGE AI TECHNOLOGIES FOR REAL-TIME USE CASES IN THE OIL AND GAS DOMAIN 1477.1 Introduction 1477.2 Demystifying the Paradigm of Artificial Intelligence (AI) 1487.3 Describing the Phenomenon of Edge Computing 1497.4 Delineating Edge Computing Advantages 1517.5 Demarcating the Move Toward Edge AI 1547.6 Why Edge AI Gains Momentum? 1557.7 The Enablers of Edge AI 1607.8 5G-Advanced Communication 1607.9 Why Edge AI is Being Pursued with Alacrity? 1647.10 Edge AI Frameworks and Accelerators 1657.11 Conclusion 1758 AI-ENABLED ROBOTS FOR AUTOMATING OIL AND GAS OPERATIONS 1778.1 Briefing the Impending Digital Era 1778.2 Depicting the Digital Power 1788.3 Robotics: The Use Cases 1818.4 Real-Life Examples of Robotic Solutions in the Oil and Gas Industry 1848.5 The Advantages of Robotic Solutions 1908.6 The Dawn of the Internet of Robotic Things 1948.7 Conclusion 1979 AI-EMPOWERED DRONES FOR VERSATILE OIL AND GAS USE CASES 1999.1 Introduction 1999.2 The Upstream Process 2009.3 The Midstream Process 2019.4 The Downstream Process 2029.5 Navigation Technologies for Drones 2029.6 Drones Specialities and Successes 2069.7 The Emergence of State-of-the-Art Drones 2099.8 Drones in the Oil and Gas Industry 2159.9 AI-Enabled Drone Services 2179.10 AI Platforms for Drones 2199.11 Conclusion 22210 THE IMPORTANCE OF ARTIFICIAL INTELLIGENCE FOR THE OIL AND GAS INDUSTRY 22410.1 Introduction 22410.2 Reducing Well/Equipment Downtime 22510.3 Optimizing Production and Scheduling 22810.4 Detecting Anomalies by Enabling Automation in Assets using Robots 23010.5 Inspection and Cleanliness of Reactors, Heat Exchangers, and Its Components 23310.6 AI-Enabled Training and Safety 23410.7 Summary 23411 ILLUSTRATING THE 5G COMMUNICATION CAPABILITIES FOR THE FUTURE OF THE OIL AND GAS INDUSTRY 23711.1 Introduction to 5G Communication 23711.2 5G Architecture 24311.3 Antennas For 5G 24611.4 5G Use Cases 24711.5 5G and Digitalization in Oil and Gas 25211.6 5G Smart Monitoring Instruments 25911.7 Conclusion 26012 DELINEATING THE CLOUD AND EDGE-NATIVE TECHNOLOGIES FOR INTELLIGENT OIL AND GAS SYSTEMS 26312.1 Introduction 26312.2 Cloud Native Technologies – Motivation 26412.3 Containers 26512.4 Microservices 26812.5 Continuous Integration, Continuous Deployment (CI/CD) 27412.6 Edge Computing 27712.7 Conclusion 29213 EXPLAINING THE INDUSTRIAL IOT STANDARDIZATION EFFORTS TOWARD INTEROPERABILITY 29313.1 Introduction 29313.2 Different Aspects of Interoperability 29313.3 ISA95 29413.4 SCADA (Supervisory Control and Data Acquisition) 29613.5 The Choice of Network Technology 29613.6 OPAF 30213.7 OPC-UA 30513.8 DDS 31013.9 Integration with Telemetry and Big Data 31113.10 IEC Standards used in the OPAF 31113.11 RedFish 31213.12 The FieldComm Group 31414 DIGITAL TWINS FOR THE DIGITALLY TRANSFORMED O&G INDUSTRY 31614.1 Digital Twins (DTs) 31614.2 Digital Twins in Manufacturing 31614.3 Digital Twins in Process Efficiency 31714.4 Digital Twins and Quality Assurance 31714.5 Digital Twins and Supply Chain 31714.6 Digital Twins and Predictive Maintenance 31714.7 Industry 4.0 31814.8 Digital Twin Concept 31914.9 Standards and Interoperability 32014.10 IDTA Standard 32114.11 Digital Twin Consortium 32214.12 Digital Twin in O&G 32214.13 DT Complexity and Trade-offs 32314.14 Architectural Concepts 32314.15 Simulations 32414.16 Digital Twins vs. Simulations 32714.17 Digital Twin Products 32814.18 Digital Twins and Manufacturing in the Future 32915 IOT EDGE SECURITY METHODS FOR SECURE AND SAFE OIL AND GAS ENVIRONMENTS 33115.1 Introduction 33115.2 Protecting Data 33215.3 Past Examples of Security Attacks 33215.4 Security Foundation 33415.5 Cryptographic Hash Function 33715.6 Keyed Hash Message Authentication Code 33815.7 Public Key Infrastructure (PKI) 33815.8 Digital Signatures 34015.9 Threat Analysis and Understanding Adversaries 34115.10 Trusted Computing Base 34215.11 Edge Security and RoT (Root of Trust) 34215.12 DICE – Device Identifier Composition Engine 34315.13 Boot Integrity 34315.14 Data Sanitization 34515.15 Total Memory Encryption 34615.16 Secure Device Onboarding 34715.17 Attestation 35015.18 Defense in Depth 35215.19 Zero Trust Architecture (ZTA) 35415.20 Security Hardened Edge Compute Architectures 35416 SECURING THE ENERGY INDUSTRY WITH AI-POWERED CYBERSECURITY SOLUTIONS 35616.1 Introduction 35616.2 Energy Industry 35716.3 Present and Future of Energy Industry Supply Chain 35916.4 Cybersecurity 36116.5 Digitizing of the Energy Industry 36416.6 MITRE ATT&CK Framework 36716.7 CVE 36816.8 CWE 37016.9 CAPEC 37016.10 CPE 37016.11 Cybersecurity Framework 37016.12 NIST Framework 37116.13 Zero-Day Vulnerability 37216.14 Machine Learning 37316.15 Artificial Intelligence 37416.16 Fusing AI into Cybersecurity 37516.17 Threat Modeling in AI 37916.18 Incident Response 38216.19 Fire Sale Scenario 38316.20 Conclusion 38417 EXPLAINABLE ARTIFICIAL INTELLIGENCE (XAI) FOR THE TRUST AND TRANSPARENCY OF THE OIL AND GAS SYSTEMS 38717.1 Introduction 38717.2 The Growing Power of Artificial Intelligence 38817.3 The Challenges and Concerns of Artificial Intelligence 39017.4 About the Need for AI Explainability 39117.5 AI Explainability: The Problem It Solves 39217.6 What is the AI Explainability Challenges? 39317.7 The Importance of Explainable AI 39317.8 The Importance of Model Interpretation 39617.9 Briefing Feature Importance Scoring Methods 40117.10 Local Interpretable Model-agnostic Explanations (LIME) 40217.11 SHAP Explainability Algorithm 40417.12 Conclusion 40718 BLOCKCHAIN FOR ENHANCED EFFICIENCY, TRUST, AND TRANSPARENCY IN THE OIL AND GAS DOMAIN 40918.1 Introduction 40918.2 The Brewing Challenges of the Oil and Gas Industry 41018.3 About the Blockchain Technology 41318.4 Blockchain-Powered Use Cases for the Oil and Gas Industry 41518.5 Blockchain for Improved Trust 41618.6 Sensor-Enabled Invoicing 41718.7 Transportation Tracing 41818.8 Data Storage and Management 41918.9 Digital Oil and Gas: Strengthening and Simplifying Supply Chain 41918.10 Commodity Trading 42118.11 Land Record Management 42118.12 Financial Reconciliation 42218.13 Oil Wells and Equipment Maintenance 42318.14 Waste Management and Recycling 42318.15 Tracking Carbon Footprint 42418.16 Improved Pipeline Inspection 42418.17 Other Miscellaneous Advantages of Blockchain 42518.18 Blockchain Challenges 42518.19 Conclusion 42619 AI-INSPIRED DIGITAL TWINS FOR THE OIL AND GAS DOMAIN 42819.1 How to Ensure Certainty Using DT for AI 43219.2 Tools Needed to Develop Digital Twins 43419.3 Digital Twin Implementation Approach at a High Level 43419.4 Digital Twin of Oil and Gas Production 44119.5 Solution Approach 44219.6 Future of Digital Twins 44320 FUTURE DIRECTIONS OF GREEN HYDROGEN AND OTHER FUELING SOURCES 44720.1 Introduction 44720.2 Green Hydrogen Technologies 44820.3 Current and Future Industrial Applications of Hydrogen 44920.4 The Exploitation of Hydrogen Fuel in a Future System 45020.5 Green Hydrogen: Fuel of the Future 45120.6 Extraction of Hydrogen with Diagrammatic Representation 45320.7 Hydrogen Fuel System Advantages and Disadvantages 45420.8 AI-Based Approach for Emerging Green Hydrogen Technologies for Sustainability 45520.9 Challenges of Hydrogen with AI Technologies 45820.10 The Expected Use and Forecast for Hydrogen Fuel Cells in the Future 45820.11 Conclusion 459Bibliography 460Index 461
The Ultimate Guide to Functions in Power Query
This book is a complete guide to using functions in Power Query and is designed to help users of all skill levels learn and master its various functions.The Ultimate Guide to Functions in Power Query begins with an introduction to Power Query and an overview of the different types of functions available, along with detailed explanations of how to use each of them. You’ll see how to leverage power functions to process and transform large datasets from various sources and learn advanced techniques such as creating custom functions and using conditional statements. The book also covers best practices for using functions, including tips on how to optimize query performance and troubleshoot common errors. Using practical example applications, Author Omid Motamedisedeh demonstrates how to optimize your data processing workflows, saving time and boosting productivity.By the end of the book, readers will have a deep understanding of Power Query functions and be able to apply their knowledge to a wide range of data analysis tasks.WHAT YOU WILL LEARN* Master the fundamentals of Power Query, including how to load and transform data from various sources* Understand all the functions available in Power Query, including text, date/time, logical, numeric, and more* Use functions to transform data and perform complex calculations* Employ advanced techniques such as custom functions, conditional statements, and working with parameters* Optimize query performance, handle errors, and use the M language effectively* Use real-world examples and exercises to hone your skills and gain practical experience with the toolWHO THIS BOOK IS FORAnyone who wants to learn how to use functions in Power Query to transform and analyze data. This includes data analysts, business analysts, Excel users, and data scientists. Readers should have a basic understanding of Excel and data analysis concepts, but may be new to Power Query and functions.OMID MOTAMEDISEDEH is a freelance data and business intelligence analyst with a PhD in Industrial Engineering. He’s currently working towards his second PhD at Queensland University of Technology. Omid has authored six books in the field of Excel in Farsi, along with several articles in industry journals (Electric Power Systems Research, Journal of Building Engineering, Energy, Neural Computing and Applications, and more). His primary reason for writing his first book in English is the lack of a comprehensive and complete reference for Power Query functions. He decided to fill this gap by writing one himself.Chapter 1: Introduction to Power Query.- Chapter 2: Data Types.- Chapter 3: Number Functions.- Chapter 4: Text Functions.- Chapter 5: Date and Time Functions.- Chapter 6: List Functions.- Chapter 7: Record Functions.- Chapter 8: Table Functions.- Chapter 9: Extracting from Data Sources.- Chapter 10: Other Functions.
Low-Code Development with Appsmith
This book will show you how to harness the power of Appsmith, an open-source low-code platform with a large set of integration tools and an active community.The book begins with an introduction to Appsmith and its features. As you explore the platform, you will learn about widgets, UI Canvas, and data stores, among other things. Authors Rahul Sharma and Rajat Arora then show you how to build customizations and navigation workflows, as well as how to handle error handling, debugging, and troubleshooting with Appsmith. You will also learn efficient monitoring and authentication for deploying production-ready systems. Low-Code Development with AppSmith provides examples, realistic scenarios, and explanations of the tools you'll need to build successful low-code apps, helping you gain practical skills.Upon completing this book, you will be able to use Appsmith to build low-code solutions that suit your business requirements.WHAT YOU WILL LEARN* Understand low-code development and the factors driving its adoption* Solve your business's most pressing issues with Appsmith* Gain an understanding of the key concepts of app development, such as data management, APIs, troubleshooting, and debugging* Model different design patterns for low-code developmentWHO THIS BOOK IS FORAnyone interested in designing technical solutions with minimal programming. This book assumes a basic understanding of object-oriented programming and JavaScript.RAHUL SHARMA is an architect with18 years of experience developing Java/J2EE and Python applications. He has worked in a variety of organizations ranging from enterprises to startups. He has experience with various architectures, including monolith, distributed, Big data, and streaming.RAJAT ARORA is a hands-on programmer with over ten years of experience building software in the fintech domain. He has worked with both monolith and microservices-based architectures using .NET and Java technology stacks. He is currently working as an Engineering Manager.Chapter 1: Introduction to Appsmith.- Chapter 2: Working with the Appsmith Platform.- Chapter 3: Working with Data.- Chapter 4: Building Application Flows.- Chapter 5: Integration with Web Services.- Chapter 6: Access Control.- Chapter 7: Error Handling and Troubleshooting.- Chapter 8: Monitoring Appsmith.- Chapter 9: Implementation Patterns with Appsmith.- Chapter 10: Working with Appsmith Cloud.
A Beginner's Guide to SSD Firmware
Explore the concepts and techniques that are essential for designing, optimizing, and maintaining SSD (solid state drive) firmware. This book discusses the role of firmware in the functioning of SSDs and the importance of keeping firmware up to date to ensure optimal performance and security.The book starts with an introduction to SSD firmware and its role in SSDs. You will then learn basic NAND operations and common firmware features, followed by various design considerations and best practices for optimizing and maintaining SSD firmware. Moving ahead, you will learn some of the advanced features that are included in modern SSD firmware, such as wear leveling algorithms, garbage collection algorithms, error prevention and correction methods, and algorithms to reduce write amplification. User data flow and exception handling are discussed next, along with performance and debugging. To wrap things up, you will gain insight into possible future developments and innovations in SSD firmware.After reading this book, you will have a solid understanding of the key concepts and techniques that are crucial to designing, optimizing, and maintaining SSD firmware.WHAT WILL YOU LEARN* Understand the fundamentals of NAND flash memory, including its architecture, operation, and limitations* Explore the basics and evolution of firmware, specifically in the context of SSDs* Grasp the basics of firmware, including its purpose, structure, and development process* Survey the specific features of SSD firmware, such as wear leveling, error correction, and garbage collection* Understand performance criteria for SSDs* Master the art of designing a fundamental SSD firmware, encompassing host interfaces and vital requirementsWHO IS THIS BOOK FOR:Engineers involved in designing and developing firmware.GOPI KUPPAN THIRUMALAI is a highly experienced embedded design engineer with a proven track record of success in the industry. He has over 15 years of experience in a variety of domains, including wireless networks, software, automotive, and storage. He is an expert in client and data center SSD design and implementation, and has a history of leading and mentoring teams to achieve their goals.. He is also an outdoor enthusiast and enjoys hiking, fitness, reading books and cooking.1. Introduction to SSD firmware.- 2. Understanding the role of firmware in SSDs.- 3. The history and evolution of SSD firmware.- 4. Basic of Flash Memory.- 5. 3D Vertical NAND.- 6. Basic understanding of NAND Flash Interface.- 7. Common SSD firmware features.- 8. SSD firmware design considerations.- 9. Flash Translation Layer – FTL.- 10. User Data Flow.- 11. Throttling.- 12. Exception Handling.- 13. Performance.- 14. Debugging.- 15. Future developments and innovations in SSD firmware.- 16. Closing.- Bibliography.
Softwarearchitektur für Dummies
TRAGFÄHIGE LITERATUR FÜR IHRE SOFTWAREARCHITEKTURENBesuchen Sie eine Veranstaltung zu Softwarearchitektur oder stehen Sie in einem Projekt vor Architekturentscheidungen und wollen daher die aktuellen Architekturansätze verstehen? Dann hilft Ihnen dieses Buch. Holger Gast erläutert zunächst die grundlegenden Elemente von Architekturen und führt die technischen Hintergründe aus. Er erklärt Ihnen danach die klassischen Stile und Patterns und geht schließlich auf Cloud-Architekturen ein. Durchgängig legt er den Fokus auf konkrete Softwarestrukturen statt auf Theorie und ermöglicht Ihnen so einen verständlichen und zügigen Einstieg in das Thema. SIE ERFAHREN* Wie Sie Entscheidungen zum Aufbau einer Anwendung treffen* Wann bestimmte Architekturen oder Frameworks für Ihr Projekt geeignet sind* Welche Herausforderungen Sie bei der Erstellung oder Weiterentwicklung einer Anwendung lösen müssenHOLGER GAST studierte in Tübingen Informatik, promo-vierte zu Programmiersprachen und habilitierte sich zur Software-Korrektheit. Seit 2006 gibt er an der Universität Tübingen Vorlesungen und Seminare zu Softwarearchitektur und -design und leitet seit 2014 das Steinbeis-Beratungszentrum Agile-Entwicklung von Informationssystemen.
Pro Oracle Database 23c Administration
Master Oracle Database administration in both on-premises and cloud environments. This new edition covers the tasks you’ll need to perform to keep your databases stable, tuned, and running. The book also includes administrative tasks specific to cloud environments, including the Oracle Autonomous Database running in the Oracle Cloud Infrastructure. New in this edition is help for DBAs who are becoming involved in data management, and a look at the idea of a converged database and what that means in handling various data types and workloads. The book covers some of the machine learning features now in Oracle and shows how the same SQL that you know for database administration also helps you with data management tasks. The information in this book helps you to apply the right solution at the right time, mitigating risk and making robust choices that protect your data and avoid midnight phone calls.Data management is increasingly a DBA function, and DBAs are often called upon for help in getting data loaded into analytics environments such as a data lakehouse or a data mesh. This book addresses this fast-growing new role for database administrators and helps you build on your existing knowledge to make the transition into a new skill set that is in high demand. You’ll learn how to look at data optimization from the standpoint of data analysis and machine learning so that you can be seen as a key player in preparing your organization’s data for those type of activities. You’ll know how to pull back information from a combination of relational tables and JSON structures. You’ll become familiar with the tools that Oracle Database provides to make analytics easier and more straightforward. And you’ll learn simpler ways to manage time-based tables that eliminate the need for painfully creating triggers to track the history of row changes over time.This book builds your skills as an Oracle Database administrator with the aim of helping you to be seen as a key player in data management as your organization pivots toward cloud computing and a greater use of machine learning and analytics technologies.WHAT YOU'LL LEARN* Configure and manage Oracle 23c databases both on-premises and in the cloud* Meet your DBA responsibilities in the Oracle Cloud and with Database Cloud Services* Perform administrative tasks for Autonomous Database dedicated environments* Perform DBA tasks and effectively use data management tools * Migrate from on-premises to the Oracle Cloud Infrastructure* Troubleshoot issues with Oracle 23c databases and quickly solve performance problems* Architect cloud, on-premises, hybrid, and multi-cloud database environments WHO THIS BOOK IS FOROracle database administrators (DBAs) who want to be current with the new features in Oracle Database 23c. For any DBA who is tasked with managing Oracle databases in cloud, hybrid cloud, and multi-cloud configurations. Also helpful for data architects who are designing analytic solutions in data lakehouse and data mesh environments.MICHELLE MALCHER is a senior manager for database product management at Oracle. Her deep technical expertise, from database to security, as well as her senior level contributions as a speaker, author, Oracle ACE director, and customer advisory board participant have aided many corporations in areas such as architecture and risk assessment, purchasing and installation, and ongoing systems oversight. She was a founding board member for FUEL, the Palo Alto Networks User community, as well as a past president and long time volunteer for the Independent Oracle User Group (IOUG). She has built out teams for database security and data services, and enjoys sharing knowledge about data intelligence and providing secure and standardized database environments.DARL KUHN is an Oracle DBA consultant at RMCI. He handles all facets of database administration from design and development to production support. He also teaches advanced database courses at University of Denver. He does volunteer DBA work for the Rocky Mountain Oracle User Group. He has a graduate degree from Colorado State University and lives near Spanish Peaks, Colorado, with his wife, Heidi, and daughters, Brandi and Lisa.
Machine Learning for Imbalanced Data
As machine learning practitioners, we often encounter imbalanced datasets in which one class has considerably fewer instances than the other. Many machine learning algorithms assume an equilibrium between majority and minority classes, leading to suboptimal performance on imbalanced data. This comprehensive guide helps you address this class imbalance to significantly improve model performance.Machine Learning for Imbalanced Data begins by introducing you to the challenges posed by imbalanced datasets and the importance of addressing these issues. It then guides you through techniques that enhance the performance of classical machine learning models when using imbalanced data, including various sampling and cost-sensitive learning methods.As you progress, you’ll delve into similar and more advanced techniques for deep learning models, employing PyTorch as the primary framework. Throughout the book, hands-on examples will provide working and reproducible code that’ll demonstrate the practical implementation of each technique.By the end of this book, you’ll be adept at identifying and addressing class imbalances and confidently applying various techniques, including sampling, cost-sensitive techniques, and threshold adjustment, while using traditional machine learning or deep learning models.
Developing IoT Projects with ESP32
ESP32, a low-cost and energy-efficient system-on-a-chip microcontroller, has become the backbone of numerous WiFi devices, fueling IoT innovation. This book offers a holistic approach to building an IoT system from the ground up, ensuring secure data communication from sensors to cloud platforms, empowering you to create production-grade IoT solutions using the ESP32 SoC.Starting with IoT essentials supported by real-world use cases, this book takes you through the entire process of constructing an IoT device using ESP32. Each chapter introduces new dimensions to your IoT applications, covering sensor communication, the integration of prominent IoT libraries like LittleFS and LVGL, connectivity options via WiFi, security measures, cloud integration, and the visualization of real-time data using Grafana. Furthermore, a dedicated section explores AI/ML for embedded systems, guiding you through building and running ML applications with tinyML and ESP32-S3 to create state-of-the-art embedded products.This book adopts a hands-on approach, ensuring you can start building IoT solutions right from the beginning. Towards the end of the book, you'll tackle a full-scale Smart Home project, applying all the techniques you've learned in real-time.Embark on your journey to build secure, production-grade IoT systems with ESP32 today!
Arduino Data Communications
In our modern, internet-connected world, where billions of devices constantly collect and send data to systems to be stored and processed, it’s surprising how the intricacies of data transmission and storage are often overlooked in the IoT domain. With Arduino Data Communications, you'll bridge the knowledge gap and become an expert in collecting data from IoT sensors, transmitting data, and configuring your own databases.This book is an exploration of IoT’s inner workings, guiding you through the process of setting up an end-to-end system that you can employ to prototype your own IoT solutions, using easy-to-follow examples. It begins with a general overview of the Arduino ecosystem, acquainting you with various sensors and shields and unveiling the art of data collection. You’ll then explore data formats and methods to store data, both locally and on database servers. As you progress through the chapters, you’ll learn how to set up REST and MQTT infrastructure to communicate with databases and get hands-on with LoRaWAN, Ethernet, cellular, HC-12, and RS-485. The final chapters are your training ground for real-world projects, imparting the essential knowledge you need to tackle complex challenges with confidence.By the end of this Arduino book, you'll have seamlessly configured an end-to-end system, all while immersing yourself in practical scenarios that bring the world of IoT to life.
Kafka Troubleshooting in Production
This book provides Kafka administrators, site reliability engineers, and DataOps and DevOps practitioners with a list of real production issues that can occur in Kafka clusters and how to solve them. The production issues covered are assembled into a comprehensive troubleshooting guide for those engineers who are responsible for the stability and performance of Kafka clusters in production, whether those clusters are deployed in the cloud or on-premises. This book teaches you how to detect and troubleshoot the issues, and eventually how to prevent them.Kafka stability is hard to achieve, especially in high throughput environments, and the purpose of this book is not only to make troubleshooting easier, but also to prevent production issues from occurring in the first place. The guidance in this book is drawn from the author's years of experience in helping clients and internal customers diagnose and resolve knotty production problems and stabilize their Kafka environments. The book is organized into recipe-style troubleshooting checklists that field engineers can easily follow when under pressure to fix an unstable cluster. This is the book you will want by your side when the stakes are high, and your job is on the line.WHAT YOU WILL LEARN* Monitor and resolve production issues in your Kafka clusters* Provision Kafka clusters with the lowest costs and still handle the required loads* Perform root cause analyses of issues affecting your Kafka clusters* Know the ways in which your Kafka cluster can affect its consumers and producers* Prevent or minimize data loss and delays in data streaming* Forestall production issues through an understanding of common failure points* Create checklists for troubleshooting your Kafka clusters when problems occurWHO THIS BOOK IS FORSite reliability engineers tasked with maintaining stability of Kafka clusters, Kafka administrators who troubleshoot production issues around Kafka, DevOps and DataOps experts who are involved with provisioning Kafka (whether on-premises or in the cloud), developers of Kafka consumers and producers who wish to learn more about KafkaELAD ELDOR is a DataOps team leader in the Grow division of Unity (formerly ironSource), working on handling stability issues, improving performance, and reducing the cost of high-scale Kafka, Druid, Presto, and Spark clusters on AWS. He has 12 years of experience as a backend software engineer and six years handling DataOps of big data Linux-based clusters.Prior to working at Unity, Elad was a Site Reliability Engineer (SRE) at Cognyte, where he developed big data applications and handled the reliability and scalability of Spark and Kafka clusters in production. His main interests are performance tuning and cost reduction of big data clusters.
Modern TypeScript
Dive into the world of TypeScript, a popular superset of the JavaScript language that enhances the development experience with static typing. This book covers every aspect of TypeScript in a concise and easy-to-understand style, making it the ultimate resource for mastering TypeScript.Author Ben Beattie-Hood provides comprehensive coverage of TypeScript’s features, such as structural typing, optionality and union types, computed and recursive types, and much more. Each chapter is packed with practical, real-world examples and insider tips drawn from his 20 years of experience as a trainer, ensuring you understand the most important concepts and learn how to avoid common pitfalls.Modern TypeScript will put you on the path to becoming a TypeScript expert, help you greatly reduce errors, and boost your delivery velocity. Whether you’re building small projects or large-scale applications, this book will give you the skills and confidence to write cleaner, scalable, and more maintainable code. Don’t miss this opportunity to elevate your TypeScript proficiency and stay at the forefront of modern development.WHAT YOU'LL LEARN* Understand how TypeScript works and how it fits into the JavaScript ecosystem* Work with the type system, including primitives, interfaces, classes, and functions* Leverage the advanced type system with mapped and conditional types, in useful real-world examples* Explore tooling and debugging methods available for TypeScript* Futureproof development projects for scale using the TypeScript tooling WHO THIS BOOK IS FORDevelopers, designers, and engineers who are writing front end web sites or apps, or using JavaScript-based back end systems, looking to supercharge their skills and knowledge. BEN BEATTIE-HOOD is a principal engineer, trainer and professional mentor with over twenty years of industry experience who currently focuses on front end tech strategy and development and training in React, TypeScript and related technologies. He is passionate about evolvable systems, about creating learning organizations, and about how ideas are formed and communicated. Ben has given a wide range of talks on product development, event sourcing microservices and event storming practice, NoSql database operation, functional programming, front end design and build, as well as specifically in TypeScript. He lives with his beautiful wife and two kids in Melbourne, Victoria, where he loves to hike in the great Australian bush.
Data Exploration and Preparation with BigQuery
Data professionals encounter a multitude of challenges such as handling large volumes of data, dealing with data silos, and the lack of appropriate tools. Datasets often arrive in different conditions and formats, demanding considerable time from analysts, engineers, and scientists to process and uncover insights. The complexity of the data life cycle often hinders teams and organizations from extracting the desired value from their data assets. Data Exploration and Preparation with BigQuery offers a holistic solution to these challenges.The book begins with the basics of BigQuery while covering the fundamentals of data exploration and preparation. It then progresses to demonstrate how to use BigQuery for these tasks and explores the array of big data tools at your disposal within the Google Cloud ecosystem.The book doesn’t merely offer theoretical insights; it’s a hands-on companion that walks you through properly structuring your tables for query efficiency and ensures adherence to data preparation best practices. You’ll also learn when to use Dataflow, BigQuery, and Dataprep for ETL and ELT workflows. The book will skillfully guide you through various case studies, demonstrating how BigQuery can be used to solve real-world data problems.By the end of this book, you’ll have mastered the use of SQL to explore and prepare datasets in BigQuery, unlocking deeper insights from data.
Testen in agilen Projekten (3. Auflage)
Testen in agilen Projekten. Methoden und Techniken für Softwarequalität in der agilen Welt. In 3., aktualisierter und überarbeiterer Auflage. Dezember 2023.Softwareentwicklung wird heute mit agilen Methoden durchgeführt. Ob ein Team, eine Softwareabteilung oder ein ganzes Unternehmen agile Entwicklung langfristig erfolgreich realisiert und damit die erhofften Vorteile erzielt, hängt entscheidend vom Softwaretest und der agilen Softwarequalitätssicherung ab.Dieses Buch gibt einen praxisorientierten Überblick über die gängigsten Testmethoden und -praktiken sowie Managementwerkzeuge in agilen Projekten. Softwareentwickler, Projektmanager, Product Owner und Scrum Master erhalten Hinweise und Tipps, wie Qualitätssicherung und Testen dazu beitragen können, das Potenzial agiler Vorgehensweisen voll auszuschöpfen. Professionelle (Certified) Tester und Experten für Softwarequalität erfahren, wie sie erfolgreich in agilen Teams mitarbeiten und ihre spezifische Expertise optimal einbringen können.Aus dem Inhalt:Agile und klassische VorgehensmodelleProduktplanung im agilen ProjektUnit Tests, Test FirstIntegrationstests, Continuous IntegrationSystemtests, Continuous TestingQualitätsmanagement, QualitätssicherungMehrere Fallstudien, ein durchgängiges Fallbeispiel sowie Übungsaufgaben und Checkfragen zum Self-Assessment runden den Inhalt ab. Die Codebeispiele stehen auf der Website zum Buch zum Download bereit.Das Buch orientiert sich an den Inhalten der ISTQB®-Lehrpläne zum Certified Tester Agile und eignet sich daher nicht nur bestens zur Prüfungsvorbereitung, sondern dient gleichzeitig als kompaktes Grundlagenwerk zu diesen Themen in der Praxis und an Hochschulen.Die 3. Auflage wurde komplett überarbeitet und ist konform zu den ISTQB®-Lehrplänen zum Certified Tester:Agile TesterAgile Technical Tester (ATT)Agile Test Leadership at Scale (CTAL-ATLaS)Tilo Linz ist Vorstand und Mitgründer der imbus AG, einem führenden Lösungsanbieter für Softwaretest und seit mehr als 20 Jahren im Themengebiet Softwarequalitätssicherung und Softwaretest tätig. Als Gründer und Vorsitzender des German Testing Board e. V. und Gründungsmitglied im ISTQB hat er die Aus- und Weiterbildung in diesem Fachbereich auf nationaler und internationaler Ebene maßgeblich mitgestaltet und vorangebracht. Tilo Linz ist Koautor von »Basiswissen Softwaretest« (dpunkt.verlag), einem der erfolgreichsten und meistgelesenen Fachbücher in diesem Themengebiet.Die vielfältigen Chancen, aber auch Herausforderungen, die sich aus der Einführung und Anwendung agiler Methoden ergeben, kennt und erlebt er täglich aus nächster Nähe: in Softwareprojekten seiner Kunden, in der imbus-internen TestBench-Produktentwicklung, aber auch außerhalb der Softwareentwicklung, z. B. im imbus-Marketing, wo er ein an Kanban orientiertes agiles Marketing eingeführt hat.Leseprobe (PDF-Link)
Uncertainty and Artificial Intelligence
Today's information technology, along with Artificial Intelligence (AI), is moving towards total communication between all computerized systems. AI is a representation of human intelligence based on the creation and application of algorithms in specific computer environments. Its aim is to enable computers to act like human beings. For it to work, this type of technology requires computer systems, data with management systems and advanced algorithms, used by AI.In mechanical engineering, AI can offer many possibilities: in mechanical construction, predictive maintenance, plant monitoring, robotics, additive manufacturing, materials, vibration control and agro composites, among many others.This book is dedicated to Artificial Intelligence uncertainties in mechanical problems. Each chapter clearly sets out used and developed illustrative examples. Aimed at students, Uncertainty and Artificial Intelligence is also a valuable resource for practicing engineers and research lecturers.ABDELKHALAK EL HAMI is Full Professor at INSA-Rouen-Normandie, France. He is the author/co-author of over sixty books and is responsible for several European pedagogical projects. He is a specialist in the optimization, reliability and AI of multiphysical systems.
Symmetric Cryptography, Volume 2
Symmetric cryptology is one of the two main branches of cryptology. Its applications are essential and vital in the Information Age, due to the efficiency of its constructions.The scope of this book in two volumes is two-fold. First, it presents the most important ideas that have been used in the design of symmetric primitives, their inner components and their most relevant constructions. Second, it describes and provides insights on the most popular cryptanalysis and proof techniques for analyzing the security of the above algorithms. A selected number of future directions, such as post-quantum security or design of ciphers for modern needs and particular applications, are also discussed.We believe that the two volumes of this work will be of interest to researchers, to master’s and PhD students studying or working in the field of cryptography, as well as to all professionals working in the field of cybersecurity. Christina Boura is an associate professor at the University of Versailles, France, who works on symmetric cryptography. She is a well-recognized member of the cryptographic community, having served on many program committees and as editor-in-chief of the ToSC IACR journal.María Naya-Plasencia is a research director at Inria, France, who also works on symmetric cryptography. She obtained an ERC grant in 2016 and the Young Researcher Prize from Inria-Académie des Sciences in 2019, and has given several invited keynote talks.
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.
The Rational software Engineer
This book will serve as a framework for you as a software engineer seeking a fulfilling career and wishing to stay passionate and maintain a healthy mental state. It is filled with protocols to achieve effective life-long learning, navigate career development, adapt to changes, maintain work-life balance, and have a healthy lifestyle.As a successful software engineer you tend to focus on improving your technical skills: learning a new programming language, mastering another tool, or using a library. But you also need to build a solid mental framework that will help you navigate your professional development. You need to develop the skills that will help you be a happy software engineer.This book will help you if you feel frustrated, unmotivated, or unhappy; lost in your career path; or uncertain if you want to be a software engineer. It can help you deal with burnout, high levels of stress, or depression; or if you struggle to be productive while working from home.WHAT YOU WILL LEARN* Efficiently organize your work day* Know when and how to seek a new project, company, or career* Take care of your body and mind in a software engineering context* Understand what contributes to job satisfaction and how to integrate it into your career* Use non-coding activities for your and your company’s benefit* Build healthy relationships with managers and colleaguesWHO THIS BOOK IS FORThe typical reader of this book is a software engineer who is highly skilled in technical areas but may feel frustrated, unmotivated, or unhappy in their current position and looking for a way to navigate their professional development and find a healthy work-life balance.The book also will appeal to audiences of other IT or tech professionals, such as project managers, product owners, or designers, who work closely with software engineers and want to understand the challenges they face in their roles. Additionally, individuals who are considering a career in software engineering or development may benefit from the book by gaining insight into the profession and understanding the skills and mindset required to be successful.Mykyta Chernenko, originally from Kharkiv, Ukraine, now resides in Oslo, Norway. Beginning with Backend with Python, Mykyta soon expanded his toolkit to include Fullstack development and diverse languages like Go, Kotlin, and Typescript. Beyond his main technical focus, Mykyta has experience in DevOps, Data Engineering and Product Management.Throughout his professional journey, Mykyta has been a part of various intriguing projects through his experience in product, outsource, and consultancy companies. He contributed to the Azure integration of Nutanix's cluster discovery project, and played a central technical role at Factmata, taking over the engineering and infrastructure. He further continued to product teams at both Mercell as a Tech Lead and as a Senior Software Engineer at Arundo Analytics.Separate from his project contributions, Mykyta has shown a strong passion for teaching and sharing his experience. He has taken on mentoring roles throughout his career, guiding and supporting over 20 professionals in the field, and expressed himself through his blog, "The Rational Software Engineer" on Hackernoon.Understanding that Software Engineering is driven by people and their thinking, Mykyta consistently tries to broaden his horizons in the psychology and neurobiology realm through books and courses.Now Mykyta is a Co-Founder of Nemlys - a promising tech startup dedicated to helping couples improve their communication through personalized AI questions for their dates.Part 1: Passion.- Chapter 1: Job Satisfaction.- Chapter 2: Work Time Organization.- Chapter 3: There is no Perfect Project.- Chapter 4: Initiative.- Chapter 5: Burnout.- Chapter 6: Avoiding What is Bad in the Long Run.- Chapter 7: Career Change.- Chapter 8: How to Find a Dream Job.- Part 2: Mindset.- Chapter 9: Lifelong Learning.- Chapter 10: Collaboration.- Chapter 11: Values.- Chapter 12: Mental and Physical Health.- Chapter 13: Company Attitude.- Chapter 14: Handling Failures.- Part 3: Learning.- Chapter 15: What to Learn.- Chapter 16: Learning Effectively.- Chapter 17: Feedback.- Chapter 18: Learning from Other People.- Chapter 19: Sharing Your Knowledge.- Chapter 20: Learning the Most Out of Code.- Chapter 21: Rotation.
ChatGPT - Mit KI in ein neues Zeitalter
Wie KI-Tools unser Leben und die Gesellschaft verändern.Künstliche Intelligenz hat bereits weitreichende Auswirkungen auf unser Leben und die Gesellschaft. Ulrich und Barbara Engelke diskutieren in diesem Buch die Chancen und Herausforderungen von ChatGPT und anderen KI-Werkzeugen und wie sie verschiedene Bereiche unseres Lebens beeinflussen. Dabei stehen insbesondere die Auswirkungen auf Schule und Studium, Arbeit und Gesellschaft sowie rechtliche Aspekte wie Datenschutz und Urheberschaft im Fokus.Mit dem Buch stellen die Autoren die grundlegenden Fragen zum Einsatz von künstlicher Intelligenz und ermöglichen eine kritische Auseinandersetzung mit aktuellen und künftig möglichen Auswirkungen.ULRICH ENGELKE, Jahrgang 1963, hat das erste Staatsexamen in Germanistik und Anglistik sowie einen Magister mit Schwerpunkt Linguistik. Nach einem kurzen Ausflug in das Verlagswesen und selbstständiger Tätigkeit als Fachautor, hat er eine Internetagentur gegründet. Heute ist er als Unternehmensberater für Onlinemarketing mit Schwerpunkt SEO tätig. Sein besonderes Interesse gilt technischen Innovationen und deren ökonomischen wie gesellschaftlichen Auswirkungen.BARBARA ENGELKE, Jahrgang 1965, hat ein Staatsexamen in Germanistik und Theologie und arbeitet als Lehrerin sowie Fachbetreuerin für Deutsch an einem bayerischen Gymnasium. Es ist ihr ein Anliegen, in ihrer pädagogischen Tätigkeit junge Menschen an neue Herausforderungen heranzuführen und sie für die Zukunft mit den nötigen Kompetenzen auszustatten. Ihre Leidenschaft ist das Theater. Sie leitet eine Theatergruppe und schreibt selbst Stücke.
Understanding Large Language Models
This book will teach you the underlying concepts of large language models (LLMs), as well as the technologies associated with them.The book starts with an introduction to the rise of conversational AIs such as ChatGPT, and how they are related to the broader spectrum of large language models. From there, you will learn about natural language processing (NLP), its core concepts, and how it has led to the rise of LLMs. Next, you will gain insight into transformers and how their characteristics, such as self-attention, enhance the capabilities of language modeling, along with the unique capabilities of LLMs. The book concludes with an exploration of the architectures of various LLMs and the opportunities presented by their ever-increasing capabilities—as well as the dangers of their misuse.After completing this book, you will have a thorough understanding of LLMs and will be ready to take your first steps in implementing them into your own projects.WHAT YOU WILL LEARN* Grasp the underlying concepts of LLMs* Gain insight into how the concepts and approaches of NLP have evolved over the years* Understand transformer models and attention mechanisms* Explore different types of LLMs and their applications* Understand the architectures of popular LLMs* Delve into misconceptions and concerns about LLMs, as well as how to best utilize themWHO THIS BOOK IS FORAnyone interested in learning the foundational concepts of NLP, LLMs, and recent advancements of deep learningTHIMIRA AMARATUNGA is a Senior Software Architect at Pearson PLC Sri Lanka with over 15 years of industry experience. He is also an inventor, author, and researcher in the areas of AI, machine learning, deep learning in education, and computer vision.Thimira holds a Master of Science degree in Computer Science and a bachelor’s degree in information technology from the University of Colombo, Sri Lanka. He has filed three patents in the fields of dynamic neural networks and semantics for online learning platforms. He has published three books on deep learning and computer vision.Chapter 1: Introduction.- Chapter 2: NLP Through the Ages.- Chapter 3: Transformers.- Chapter 4: What Makes LLMs Large?.- Chapter 5: Popular LLMs.- Chapter 6: Threats, Opportunities, and Misconceptions.
Fedora Linux System Administration
Fedora Linux is a free and open-source platform designed for hardware, clouds, and containers that enables software developers and community members to create custom solutions for their customers. This book is a comprehensive guide focusing on workstation configuration for the modern system administrator.The book begins by introducing you to the philosophy underlying the open-source movement, along with the unique attributes of the Fedora Project that set it apart from other Linux distributions. The chapters outline best practices and strategies for essential system administration tasks, including operating system installation, first-boot configuration, storage, and network setup. As you make progress, you’ll get to grips with the selection and usage of top applications and tools in the tech environment. The concluding chapters help you get a clear understanding of the basics of version control systems, enhanced Linux security, automation, virtualization, and containers, which are integral to modern system administration.By the end of this book, you’ll have gained the knowledge needed to optimize day-to-day tasks related to Linux-based system administration.
Python Deep Learning
The field of deep learning has developed rapidly recently and today covers a broad range of applications. This makes it challenging to navigate and hard to understand without solid foundations. This book will guide you from the basics of neural networks to the state-of-the-art large language models in use today.The first part of the book introduces the main machine learning concepts and paradigms. It covers the mathematical foundations, the structure, and the training algorithms of neural networks and dives into the essence of deep learning.The second part of the book introduces convolutional networks for computer vision. We’ll learn how to solve image classification, object detection, instance segmentation, and image generation tasks.The third part focuses on the attention mechanism and transformers – the core network architecture of large language models. We’ll discuss new types of advanced tasks they can solve, such as chatbots and text-to-image generation.By the end of this book, you’ll have a thorough understanding of the inner workings of deep neural networks. You'll have the ability to develop new models and adapt existing ones to solve your tasks. You’ll also have sufficient understanding to continue your research and stay up to date with the latest advancements in the field.