Software
Getting Structured Data from the Internet
Utilize web scraping at scale to quickly get unlimited amounts of free data available on the web into a structured format. This book teaches you to use Python scripts to crawl through websites at scale and scrape data from HTML and JavaScript-enabled pages and convert it into structured data formats such as CSV, Excel, JSON, or load it into a SQL database of your choice.This book goes beyond the basics of web scraping and covers advanced topics such as natural language processing (NLP) and text analytics to extract names of people, places, email addresses, contact details, etc., from a page at production scale using distributed big data techniques on an Amazon Web Services (AWS)-based cloud infrastructure. It book covers developing a robust data processing and ingestion pipeline on the Common Crawl corpus, containing petabytes of data publicly available and a web crawl data set available on AWS's registry of open data.GETTING STRUCTURED DATA FROM THE INTERNET also includes a step-by-step tutorial on deploying your own crawlers using a production web scraping framework (such as Scrapy) and dealing with real-world issues (such as breaking Captcha, proxy IP rotation, and more). Code used in the book is provided to help you understand the concepts in practice and write your own web crawler to power your business ideas.WHAT YOU WILL LEARN* Understand web scraping, its applications/uses, and how to avoid web scraping by hitting publicly available rest API endpoints to directly get data* Develop a web scraper and crawler from scratch using lxml and BeautifulSoup library, and learn about scraping from JavaScript-enabled pages using Selenium* Use AWS-based cloud computing with EC2, S3, Athena, SQS, and SNS to analyze, extract, and store useful insights from crawled pages* Use SQL language on PostgreSQL running on Amazon Relational Database Service (RDS) and SQLite using SQLalchemy* Review sci-kit learn, Gensim, and spaCy to perform NLP tasks on scraped web pages such as name entity recognition, topic clustering (Kmeans, Agglomerative Clustering), topic modeling (LDA, NMF, LSI), topic classification (naive Bayes, Gradient Boosting Classifier) and text similarity (cosine distance-based nearest neighbors)* Handle web archival file formats and explore Common Crawl open data on AWS* Illustrate practical applications for web crawl data by building a similar website tool and a technology profiler similar to builtwith.com* Write scripts to create a backlinks database on a web scale similar to Ahrefs.com, Moz.com, Majestic.com, etc., for search engine optimization (SEO), competitor research, and determining website domain authority and ranking* Use web crawl data to build a news sentiment analysis system or alternative financial analysis covering stock market trading signals* Write a production-ready crawler in Python using Scrapy framework and deal with practical workarounds for Captchas, IP rotation, and moreWHO THIS BOOK IS FORPrimary audience: data analysts and scientists with little to no exposure to real-world data processing challenges, secondary: experienced software developers doing web-heavy data processing who need a primer, tertiary: business owners and startup founders who need to know more about implementation to better direct their technical teamJAY M. PATEL is a software developer with over 10 years of experience in data mining, web crawling/scraping, machine learning, and natural language processing (NLP) projects. He is a co-founder and principal data scientist of Specrom Analytics, providing content, email, social marketing, and social listening products and services using web crawling/scraping and advanced text mining.Jay worked at the US Environmental Protection Agency (EPA) for five years where he designed workflows to crawl and extract useful insights from hundreds of thousands of documents that were parts of regulatory filings from companies. He also led one of the first research teams within the agency to use Apache Spark-based workflows for chem and bioinformatics applications such as chemical similarities and quantitative structure activity relationships. He developed recurrent neural networks and more advanced LSTM models in Tensorflow for chemical SMILES generation.Jay graduated with a bachelor's degree in engineering from the Institute of Chemical Technology, University of Mumbai, India and a master of science degree from the University of Georgia, USA. Jay serves as an editor of a publication titled Web Data Extraction and also blogs about personal projects, open source packages, and experiences as a startup founder on his personal site, jaympatel.com.
JavaScript für Kids
Ganz nebenbei lernst du die Bestandteile von JavaScript kennen, so dass Bedingungen, Konstanten, Schleifen und Funktionen deinen Programmierer-Wortschatz im Nu erweitern. Dort, wo es nötig ist, wird auch HTML zur Unterstützung gerufen. Hans-Georg Schumann verrät dir viele Kniffe, um zum guten Programmierer zu werden: Hättest du zum Beispiel gedacht, dass Vererbung im Programm-Code eine Rolle spielt?
Projektmanagement mit Excel
• Projekte planen und steuern mit Excel• Mit Praxisbeispiel, Schritt für Schritt aufgebaut• Termine, Kosten und Ressourcen im Griff• Nützliche VBA-Makros für Projektmanager• Business Intelligence-Berichte mit PowerQuery und Power BI DesktopProjekte planen, überwachen und steuern – das geht auch mit Excel in Microsoft 365. Ignatz Schels und Prof. Dr. Uwe M. Seidel sind erfahrene Projektmanager und Projektcontroller. Sie zeigen Ihnen, wie Sie das Kalkulationsprogramm von Microsoft für effizientes Projektmanagement nutzen können.Hier üben Sie an einem realen Projekt: Sie erstellen Checklisten, Projektstrukturen und Kostenpläne, überwachen Termine und Budgets und dokumentieren mit Infografiken und Diagrammen. Sie lernen mit den beiden Autoren die besten Funktionen und die wichtigsten Analysewerkzeuge von Excel kennen und programmieren Ihre ersten Makros mit der Makrosprache VBA. Projektmanagement mit Excel – probieren Sie es aus, es funktioniert!In der Neuauflage finden Sie praxisnahe Beispiele zu den BI-Tools PowerQuery, Power Pivot und Power BI sowie Tipps zu den aktuellsten Excel-Funktionen und -werkzeugen wie dynamische Arrays.Alle Beispiele, Tools und VBA-Makros stehen zum Download unter plus.hanser-fachbuch.de bereit. Ignatz Schels ist Technik-Informatiker, zertifizierter Projektfachmann (GPM / IPMA) und Excel-Experte derSpitzenklasse. Er programmiert Praxislösungen mit VBA und erstellt Access-Datenbanken. Viele seiner zahlreichen Fachbücher für Controller und Projektmanager sind Bestseller.Uwe M. Seidel ist Professor für Betriebswirtschaft an der OTH Regensburg und Berater für Unternehmen und öffentliche Institutionen in den Bereichen Rechnungswesen, Controlling und Projektmanagement. Außerdemist er freiberuflicher Trainer der Controller Akademie AG und leitet den AK Süd I des Internationalen Controllervereins ( ICV ).
Geschäftsrisiko Cyber-Security
Nicht erst seit Corona warnen Beobachter und Behörden vor einem zu erwartenden rasanten Anstieg von Cyberkriminalität im privaten sowie beruflichen Umfeld. Die Digitalisierung von Geschäftsmodellen, intensivere Vernetzung von Prozessen, Produkten und Geräten und die zuletzt stärkere Nutzung von Netzwerken und Geräten im Homeoffice sind die Treiber im Kampf für mehr IT-Sicherheit. Das essential wendet sich insbesondere an Geschäftsführer von kleinen und mittelständischen Unternehmen, für die der Aufbau einer wirksamen und nachhaltigen Cyber-Security mit hohem Aufwand verbunden ist. Das Buch ermöglicht ein grundlegendes Verständnis zu potenziellen Bedrohungen der Cyber-Security sowie den Auswirkungen und bietet einen Leitfaden für die Entwicklung eines resilienten Sicherheits-Ökosystems.
Learn Microservices with Spring Boot
Build Java-based microservices architecture using the Spring Boot framework by evolving an application from a small monolith to an event-driven architecture composed of several services. This revised book follows an incremental approach in teaching 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.This updated book now covers what's been added to the latest Spring Boot release, including support for the latest Java SE; more deep-dive knowledge on how Spring Boot works; testing with JUnit 5; changes in the Spring Cloud tools used for service discovery and load balancing; building Docker images using cloud-native buildpacks; a basic centralized logging solution; E2E traceability with Sleuth; centralized configuration with Consul; many dependency upgrades; support for Spring Data Neumann; and more.Author Moises Macero uses a pragmatic approach to explain the benefits of using this type of software architecture, instead of keeping you distracted with theoretical concepts. He covers some of the state-of-the-art techniques in computer programming, from a practical point of view. You’ll focus on what's important, starting with the minimum viable product but keeping the flexibility to evolve it.WHAT YOU WILL LEARN* Build microservices with Spring Boot* Discover architecture patterns for distributed systems such as asynchronous processing, eventual consistency, resilience, scalability, and more* Use event-driven architecture and messaging with RabbitMQ* Master service discovery with Consul and load balancing with Spring Cloud Load Balancer* Route requests with Spring Cloud Gateway* Keep flexible configurations per environment with Spring Cloud Consul* Trace every request from beginning to end with Sleuth and centralized logging* Deploy your microservices anywhere as Docker containers* Start all the components in the microservice architecture with Docker ComposeWHO 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.* Introduction* Core concepts* A basic Spring Boot app* A minimal frontend with React* The data layer* Starting with Microservices* Event-Driven Architecture* Cloud native patterns* End-to-End tests with Cucumber
Pro Google Kubernetes Engine
Discover methodologies and best practices for getting started with Google Kubernetes Engine (GKE). This book helps you understand how GKE provides a fully managed environment to deploy and operate containerized applications on Google Cloud infrastructure.You will see how Kubernetes makes it easier for users to manage clusters and the container ecosystem. And you will get detailed guidance on deploying and managing applications, handling administration of container clusters, managing policies, and monitoring cluster resources. You will learn how to operate the GKE environment through the GUI-based Google Cloud console and the "gcloud" command line interface.The book starts with an introduction to GKE and associated services. The authors provide hands-on examples to set up Container Registry and GKE Cluster, and you will follow through an application deployment on GKE. Later chapters focus on securing your GCP GKE environment, GKE monitoring and dashboarding, and CI/CD automation. All of the code presented in the book is provided in the form of scripts, which allow you to try out the examples and extend them in interesting ways.WHAT YOU WILL LEARN* Understand the main container services in GCP (Google Container Registry, Google Kubernetes Engine, Kubernetes Engine, Management Services)* Perform hands-on steps to deploy, secure, scale, monitor, and automate your containerized environment* Deploy a sample microservices application on GKE* Deploy monitoring for your GKE environment* Use DevOps automation in the CI/CD pipeline and integrate it with GKEWHO THIS BOOK IS FORArchitects, developers, and DevOps engineers who want to learn Google Kubernetes EngineNAVIN SABHARWAL has more than 20 years of industry experience and is an innovator, thought leader, patent holder, and author in the areas of cloud computing, artificial intelligence and machine learning, public cloud, DevOps, AIOPS, infrastructure services, monitoring and management platforms, big data analytics, and software product development. He works at HCL Technologies and is responsible for DevOps, artificial intelligence, cloud life cycle management, service management, monitoring and management, IT Ops Analytics, AIOPs and machine learning, automation, operational efficiency of scaled delivery through Lean Ops, strategy, and delivery.PIYUSH PANDEY has more than 10 years of industry experience. He is currently working at HCL Technologies as Automation Architect, delivering solutions catering to hybrid cloud using cloud-native and third-party solutions. The automation solutions cover use cases such as Enterprise Observability, Infra as Code, Server Automation, Runbook Automation, Cloud Management Platform, Cloud Native Automation, and Dashboard/Visibility. He is responsible for designing end-to-end solutions and architecture for enterprise automation adoption. Ch01 - Getting Started with Containers on Google GKE• Introduction to Docker• Sign up for Google Cloud• Setting up environment for Google GKE• Support services for ContainersCh02-Container Image Management with Google Container Registry• Introduction to Google Container Registry• Setting up Google Container Registry• Push Docker image to Google container registryCh03 - Deploy Containerized applications with Google GKE• Setup Google GKE• Create, manage and scale GKE Cluster• Deploy Containers on GKE• Deleting a ClusterCh04-Secure your Containerized Environment• Protect your Containers and Container host on GKE• Protect your code and deploymentsCh05- Scale GKE Containerized environment• Autoscaling a Cluster• Vertical autoscaling a pod• Cluster upgrade and resizingCh06- Monitor your Containerized environment• Monitoring approaches for GKE• Using Stackdriver for GKE Monitoring• Using Prometheus for GKE MonitoringCh07- Automate your Containerized environment• Using Infra as Code solution for Automation• Continuous integration and delivery Automation
Python Testing with Selenium
Implement different testing techniques using Selenium WebDriver with the Python programming language. This quick reference provides simple functional test cases with a syntax-based approach for Selenium WebDriver.You’ll begin by reviewing the basics of Selenium WebDriver and its architectural design history and then move on to the configuration and installation of Selenium library for different web browsers, including the basic commands needed to start test scripts in various browsers. You’ll review action commands of keyboard and mouse for testing user interactions in a web page and see how hyperlinks are tested.The book also examines various web elements using eight different locators provided by Selenium to help you choose the one best suited to your needs. All Python scripts are ready to test real examples, all of which are explained thoroughly with problem statements. You’ll use different Python design patterns to automate test scripts that can be incorporated with Selenium.In the end, Python Testing with Selenium will provide you with the expertise to write your own test cases in future.WHAT YOU’LL LEARN* Install and configure Selenium WebDriver with Python for different web-browsers * Review basic commands of Selenium* Locate web elements * Work with UI based web elements* Assert web elements and handle exceptions* Write test scripts in Page Object Model * Write test cases with Unittest framework WHO THIS BOOK IS FORPython developers/testers who want to test their web applicationsSujay Raghavendra works mainly in the field of data science, machine/deep learning, and artificial intelligence and is currently Executive Director of Raghavendra Training & Consultancy (RTC), a start up company based in Dharwad, Karnataka, India. RTC was co-founded with his brother Sumedh Raghavendra in 2014.He also plans and evaluates new technological projects for research and product development to various companies at RTC. Some of his projects include analyzing pap smear filter for microscopic medical images, thermal heat sensing in hospitals, ocr for handwritten characters, satellite image analysis, network automation for maps, forecasting model, text analytics & predictions, etc.Raghavendra has been a consultant for helping and building research centers for technical universities and colleges and his recent interest includes automating testing cases using machine learning. He has published numerous research articles in international journals and was part of a reviewer committee in various journals and conferences.PYTHON TESTING WITH SELENIUMChapter 1: Introduction to SeleniumChapter 2: Getting StartedChapter 3: Mouse & Keyboard ActionsChapter 4: Web ElementsChapter 5: NavigationChapter 6: Buttons, Checkbox & Select ListChapter 7: Frames and Text BoxesChapter 8: AssertionsChapter 9: Exception HandlingChapter 10: WaitsChapter 11: Page ObjectsChapter 12: Using Test Cases with a Screenshot
Windows 10
Das umfassende Lernbuch und Nachschlagewerk inkl. Updates Winter 2020/2021:- Anschauliche Anleitungen mit vielen Abbildungen - Vom Startmenü über Apps bis zur Sicherheit im Internet - Geeignet für PC, Laptop und Tablet Lernen Sie das Betriebssystem Windows 10 von Grund auf kennen und werden Sie sicher in der Anwendung ! Dieses Handbuch ist ein hilfreicher Ratgeber für Einsteiger und ein praktisches Nachschlagewerk im Arbeitsalltag für den versierten Nutzer. Alle wichtigen Funktionen werden von den beiden Autorinnen Schritt für Schritt erklärt. Sie beginnen mit grundlegenden Techniken und gehen mit gut nachvollziehbaren Anleitungen zu komplexen Themen über, wie z. B. das Verwenden mehrerer Desktops oder die Datensicherung. Egal ob Sie mit PC, Laptop oder Tablet arbeiten: Startmenü, Explorer und der Cloud-Speicher OneDrive sind Ihnen bald genauso vertraut wie der Umgang mit den integrierten Apps Mail, Kalender, Fotos und dem Browser Edge . Darüber hinaus widmet sich ein Kapitel den Einstellungen für Sicherheit und Virenschutz . Dank der Tipps und Beispiele der erfahrenen Dozentinnen werden Sie rundum fit in Microsoft Windows 10 . Aus dem Inhalt: - Grundlegende Eingabetechniken einfach erklärt - So funktionieren Startmenü, Taskleiste und Info-Center - Die Übersicht behalten mithilfe des Aktivitätsverlaufs - Dateien erstellen, bearbeiten, speichern und organisieren - Datensicherung mit dem Cloudspeicher OneDrive - Die Benutzeroberfläche anpassen - Wichtige Einstellungen zu Sicherheit und Datenschutz - Apps installieren und deinstallieren - Microsoft Edge zum Surfen im Internet verwenden - Kommunikations- und Zeitmanagement mit den Apps Mail, Kontakte und Kalender - Wie Sie mit der App Fotos Ihre Bilder verwalten und bearbeiten
Data Parallel C++
Learn how to accelerate C++ programs using data parallelism. This open access book enables C++ programmers to be at the forefront of this exciting and important new development that is helping to push computing to new levels. It is full of practical advice, detailed explanations, and code examples to illustrate key topics.Data parallelism in C++ enables access to parallel resources in a modern heterogeneous system, freeing you from being locked into any particular computing device. Now a single C++ application can use any combination of devices—including GPUs, CPUs, FPGAs and AI ASICs—that are suitable to the problems at hand.This book begins by introducing data parallelism and foundational topics for effective use of the SYCL standard from the Khronos Group and Data Parallel C++ (DPC++), the open source compiler used in this book. Later chapters cover advanced topics including error handling, hardware-specific programming, communication and synchronization, and memory model considerations.Data Parallel C++ provides you with everything needed to use SYCL for programming heterogeneous systems.WHAT YOU'LL LEARN* Accelerate C++ programs using data-parallel programming* Target multiple device types (e.g. CPU, GPU, FPGA)* Use SYCL and SYCL compilers * Connect with computing’s heterogeneous future via Intel’s oneAPI initiativeWHO THIS BOOK IS FORThose new data-parallel programming and computer programmers interested in data-parallel programming using C++.James Reinders is a consultant with more than three decades experience in Parallel Computing, and is an author/co-author/editor of nine technical books related to parallel programming. He has had the great fortune to help make key contributions to two of the world's fastest computers (#1 on Top500 list) as well as many other supercomputers, and software developer tools. James finished 10,001 days (over 27 years) at Intel in mid-2016, and now continues to write, teach, program, and do consulting in areas related to parallel computing (HPC and AI).Chapter 1: IntroductionSets expectation that book describes SYCL 1.2.1 with Intel extensions, and that most extensions are proof points of features that should end up in a future version of SYCL. Overview notion of different accelerator architectures doing well on different workloads, and introduce accelerator archs (but don’t overdo the topic). Overview/level setting on parallelism and relevant terminology, language landscape, SYCL history.• SYCL key feature overview (single source, C++, multi-accelerator) - intended to draw people in and show simple code• Language versions and extensions covered by this book• Mixed-architecture compute and modern architectures• Classes of parallelism• Accelerator programming landscape (OpenMP, CUDA, TBB, OpenACC, AMD HCC, Kokkos, RAJA)• Evolution of SYCLChapter 2: Where code executesDescribes which parts of code run natively on CPU versus on "devices". Differentiate between accelerator devices and the "host device". Show more code to increase reader familiarity with program structure.• Single source programming model• Built-in device selectors• Writing a custom device selectorChapter 3: Data management and ordering the uses of dataOverview the primary ways that data is accessible by both host and device(s): USM and buffers. Introduce command groups as futures for execution, and concept of dependencies between nodes forming a DAG.• Intro• Unified Shared Memory• Buffers• DAG mechanismChapter 4: Expressing parallelismThe multiple alternative constructs for expressing parallelism are hard to comprehend from the spec, and for anyone without major parallel programming experience. This chapter must position the parallelism mechanisms relative to each other, and leave the reader with a conceptual understanding of each, plus an understand of how to use the most common forms.• Parallelism within kernels• Overview of language features for expressions of parallelism• Basic data parallel kernels• Explicit ND-Range kernels• Hierarchical parallelism kernels• Choosing a parallelism/coding styleChapter 5: Error handlingSYCL uses C++-style error handling. This is different/more modern than people using OpenCL and CUDA are used to. This chapter must frame the differences, and provide samples from which readers can manage exceptions easily in their code.• Exception-based• Synchronous and asynchronous exceptions• Strategies for error management• Fallback queue mechanismChapter 6: USM in detailUSM is a key usability feature when porting code, from C++ for example. When mixed with differing hardware capabilities, the USM landscape isn’t trivial to understand. This key chapter must leave the reader with an understanding of USM on different hardware capabilities, what is guaranteed at each level, and how to write code with USM features.• Usability• Device capability levels• Allocating memory• Use of data in kernels• Sharing of data between host and devices• Data ownership and migration• USM as a usability feature• USM as a performance feature• Relation to OpenCL SVMChapter 7: Buffers in detailBuffers will be available on all hardware, and are an important feature for people writing code that doesn’t have pointer-based data structures, particularly when implicit dependence management is desired. This chapter must cover the more complex aspects of buffers in an accessible waym, including when data movement is triggered, sub-buffer dependencies, and advanced host/buffer synchronization (mutexes).• Buffer construction• Access modes (e.g. discard_write) and set_final_data• Device accessors• Host accessors• Sub-buffers for finer grained DAG dependencies• Explicit data motion• Advanced buffer data sharing between device and hostChapter 8: DAG scheduling in detailMust describe the DAG mechanism from a high level, which the spec does not do. Must describe the in-order simplifications, and common gotchas that people hit with the DAG (e.g. read data before buffer destruction and therefore kernel execution).• Queues• Common gotchas with DAGs• Synchronizing with the host program• Manual dependency managementChapter 9: Local memory and work-group barriers• "Local" memory• Managing "local" memory• Work-group barriersChapter 10: Defining kernels• Lambdas• Functors• OpenCL interop objectsChapter 11: Vectors• Vector data types• Swizzles• Mapping to hardwareChapter 12: Device-specific extension mechanism• TBDChapter 13: Programming for GPUs• Use of sub-groups• Device partitioning• Data movement• Images and samplers• TBDChapter 14: Programming for CPUs• Loop vectorization• Use of sub-groups• TBDChapter 15: Programming for FPGAs• Pipes• Memory controls• Loop controlsChapter 16: Address spaces and multi_ptr• Address spaces• The multi_ptr class• Intefacing with external codeChapter 17: Using libraries• Linking to external code• Exchanging data with librariesChapter 18: Working with OpenCL• Interoperability• Program objects• Build options• Using SPIR-V kernelsChapter 19: Memory model and atomics• The memory model• Fences• Buffer atomics• USM atomics
Python 3 for Science and Engineering Applications
If you have mastered the basics of Python and are wanting to explore the language in more depth, this book is for you. By means of concrete application examples used in different applications, you are guided on how Python can be used tackle a wide range of problems. Including general ideas and solutions, the specifics of Python and how these can be practically applied are discussed. The book illustrates many aspects of programming including algorithms, recursion, data structures, and helps develop problem-oriented thinking.Python 3 for Science and Engineering Applications includes:>practical and goal-oriented learning>basic Python techniques> modern Python 3.6+ including comprehensions, decorators andgenerators>complete code available online> more than 40 exercises, solutions documented online>no additional packages or installation required, 100% pure PythonTopics cover:>identifying large prime numbers and computing Pi> writing and understanding recursive functions with memorisation>computing in parallel and utilising all system cores>processing text data and encrypting messages>comprehending backtracking and solving Sudokus>analysing and simulating games of chance to develop optimalwinning strategies>handling genetic code and generating extremely long palindromesFelix Bittmann is a research associate at the Leibniz Institute for Educational Trajectories and a doctoral candidate at the University of Bamberg, Germany. His research interests include social inequality, the role of education in the course of life, quantitative methods, and the philosophy of science. With a focus on statistical analysis and applied research, Python is an integral and multifunctional tool of his daily workflow.
Practical Apache Lucene 8
Gain a thorough knowledge of Lucene's capabilities and use it to develop your own search applications. This book explores the Java-based, high-performance text search engine library used to build search capabilities in your applications.Starting with the basics of Lucene and searching, you will learn about the types of queries used in it and also take a look at scoring models. Applying this basic knowledge, you will develop a hello world app using basic Lucene queries and explore functions like scoring and document level boosting.Along the way you will also uncover the concepts of partial searching and matching in Lucene and then learn how to integrate geographical information (geospatial data) in Lucene using spatial queries and n-dimensional indexing. This will prepare you to build a location-aware search engine with a representative data set that allows location constraints to be specified during a search. You’ll also develop a text classifier using Lucene and Apache Mahout, a popular machine learning framework.After a detailed review of performance bench-marking and common issues associated with it, you’ll learn some of the best practices of tuning the performance of your application. By the end of the book you’ll be able to build your first Lucene patch, where you will not only write your patch, but also test it and ensure it adheres to community coding standards.WHAT YOU’LL LEARN* Master the basics of Apache Lucene* Utilize different query types in Apache Lucene* Explore scoring and document level boosting* Integrate geospatial data into your applicationWHO THIS BOOK IS FORDevelopers wanting to learn the finer details of Apache Lucene by developing a series of projects with it.Atri is a distributed systems engineer with expertise in building and scaling large data oriented systems, and an Apache Lucene/Solr committer. He has worked for Microsoft, where he was responsible for scaling the storage and query engines for Azure CosmosDB. He is also a long time PostgreSQL contributor and an Apache committer and PMC member for HAWQ, MADLib, and Apex.CHAPTER 1: MEETING THE BEAST -- HOIA LUCENE! - 15 PAGESThis chapter will go over basics of Lucene and search, and give details of basic query structures in Lucene along with the different data structures and types in Lucene which can be diverse in application and usage.1. What Is Search, Anyway?2. Meet Lucene3. Types of Structures In Lucene4. Query Types -- Done The Lucene Way5. Lucene Vs Relational DatabasesCHAPTER 2: HELLO WORLD -- THE LUCENE WAY - 10 PAGESThis chapter will try out a few basic Lucene queries on a standard data set. User will index some standard data set and query different types of queries on top of it. The user will explore scoring, document level boosting and queries like TopN hits, uses of Collectors.1. Index Data In Lucene2. Internals of a Lucene Index3. Scoring and Boosting4. Doing your first query5. TopN Hits -- Why Should I Care About the 100th Hit?6. Collectors -- The Life Of Your ApplicationCHAPTER 3: BUILD A PERSONAL DESKTOP FILE SEARCHER - 40 PAGESThis chapter will go over details of building a file searcher using Lucene which will have the capability to search across the entire file system of the user’s computer and provide search results to the user for relevant documents and files given a partial or complete keyword.1. Basics of Document Searching with Lucene2. Partial Searches and Matching3. A Bit About TF/IDF4. Build The Core of Our Searcher5. Building the File System Seek and Search Functionality6. Bringing It All TogetherCHAPTER 4: A BIT ABOUT SPATIAL INDEXING - 20 PAGESBasics of Spatial Indexing and space vectors. The chapter will cover spatial indexing and querying in Lucene and advanced level details of N dimensional indexing and searching.1. Spatial Indexing2. Lucene’s Spatial Indexing Basics3. When To Use Spatial Indexing?4. N Dimensional Indexing5. Lucene Spatial Query TypesCHAPTER 5: DEVELOPING A LOCATION AWARE SEARCH ENGINE - 40 PAGESThis chapter will go over details of building a location aware search engine with representative data set and allowing location constraints to be specified during a search.1. What is Location Aware Searching?2. Representing Data As Spatial Data3. Metadata Searches4. Combining Searches -- Actual Text and Location CombinedCHAPTER 6: CREATE A TEXT CLASSIFIER WITH APACHE MAHOUT AND LUCENE - 30 PAGESThis chapter will go over building a classifier using Apache Mahout, a popular Machine Learning framework and Lucene.1. What is Mahout?2. What is a Text Classifier Engine?3. Building The Model in Mahout4. Building the Parser in Lucene5. Bringing It All TogetherCHAPTER 7: PERFORMANCE TUNING YOUR LUCENE APPLICATIONS - 15 PAGESPerformance is key to any search applications and small changes to the application can cause amplified changes to the performance of the application. We will performance benchmark applications, learn common pitfalls and learn best practices to tune performance in search applications with Lucene.1. Lucene Performance Basics2. Performance Bench-marking3. Lucene Performance Tuning4. Lucene Performance with System Performance ToolsCHAPTER 8: YOUR FIRST LUCENE PATCH - 15 PAGESThis chapter will focus on building your first patch to the heart of the engine itself. We will go through the cycle of writing a patch, testing it, adhering to community code standards, JIRA navigation, community interaction etc.1. Lucene Internals2. Working with Git3. Writing a Patch4. Test Test Test!5. Opening a JIRA for your issue6. Community Interaction
Die UNIX-Story
Ein Betriebssystem, das die IT-Welt am Laufen hält. Die faszinierende Geschichte, wie Unix begann und wie es die Computerwelt eroberte.Brian W. Kernighan war in der Entwicklung von UNIX beteiligt. In diesem kurzen Band erzählt er eine umfassende Geschichte des äußerst einflussreichen und weit verbreiteten Betriebssystems und erzählt aus einer persönlichen Perspektive von den Anfängen. Unix war in seinen frühen Tagen weitgehend das Produkt von Kernighans Kollegen Ken Thompson und Dennis Ritchie von den Bell Labs. Aber Kernighan leistete fast von Anfang an aktive Beiträge. Sein persönliches Wissen verleiht dem Buch einen großen Wert. Kernighan schafft eine gelungene Balance zwischen »offizieller Geschichte« und seinem eigenen Engagement während der Entwicklung von UNIX. Die Konzepte, die mit UNIX und seinem Ökosystem zusammenhängen, erklärt er klar und methodisch. »Die UNIX-History« ist ein kurzweiliges Buch für alle, die mehr über die Geschichte hinter der Geschichte von UNIX erfahren wollen. Mit Insider-Storys und technischen Erklärungen bekommt man einen ganz neuen Blick auf UNIX und auf die Entwicklung von Betriebssystemen.Leseprobe (PDF-Link)
Das neue SAPUI5-Handbuch
Für Einsteiger und SAPUI5-Profis: Programmieren Sie Schritt für Schritt Ihre erste eigene Anwendung, oder starten Sie direkt mit Performanceoptimierung und Fehleranalyse. Dieses Buch beantwortet Ihre Fragen rund um die Anwendungsentwicklung mit SAPUI5. Beginnen Sie z.B. mit der Implementierung einfacher Controls und lernen Sie im Anschluss, wie Smart Controls Ihre Arbeit vereinfachen. Sie möchten lieber gleich wissen, wie Sie Ihre Apps um eigene Controls erweitern? Schlagen Sie es einfach nach! Aus dem Inhalt: BootstrappingLifecycle ManagementOberfächen und Dialoge gestaltenKomponentenorientiertes ProgrammierenAnwendungsdeskriptorSortieren, Gruppieren und FilternEingabevalidierung Eventbasierte KommunikationEntwicklungsinfrastrukturEinführung in die Konzepte von SAP Fiori Einleitung ... 19 Teil I. Einführung ... 27 1. SAPUI5 -- ein Überblick ... 29 1.1 ... Was ist SAPUI5? ... 29 1.2 ... Anwendungsfälle ... 43 2. Grundlegender Aufbau und Ressourcen ... 47 2.1 ... Die Model-View-Controller-Architektur in SAPUI5 ... 47 2.2 ... Aufbau und Struktur einer SAPUI5-Anwendung ... 51 2.3 ... Bibliotheken und Namensräume ... 55 2.4 ... Typen von Views ... 67 2.5 ... Modelle ... 72 2.6 ... Datenbindung ... 81 2.7 ... Entwicklungs- und Laufzeitumgebung ... 89 Teil II. SAPUI5 -- Anwendungsentwicklung ... 99 3. In 7 Schritten zur ersten eigenen Anwendung ... 101 3.1 ... Ablaufumgebung aufsetzen ... 101 3.2 ... Einführung in den Aufbau einer UI5-Anwendung ... 105 3.3 ... Einführung in die Arbeit mit einfachen UI5-Controls ... 115 3.4 ... Verwendung von komplexen UI5-Controls ... 121 3.5 ... Die Programmierschnittstelle von SAPUI5 ... 127 3.6 ... Implementierung von Eventhandlern ... 131 3.7 ... Komponentenorientierte Anwendungsentwicklung ... 137 4. Das Bootstrapping ... 143 4.1 ... Einführung in das Bootstrapping von SAPUI5 ... 143 4.2 ... Komponentenerstellung ... 147 4.3 ... Weitere Konfigurationsmöglichkeiten ... 149 5. Instanziierung und Lebenszyklus ... 153 5.1 ... Einführung in das Lifecycle-Management von SAPUI5 ... 153 5.2 ... Ressourcen verwenden ... 160 6. Benutzeroberflächen und Dialoge gestalten ... 163 6.1 ... Gestaltung von einfachen Benutzeroberflächen ... 163 6.2 ... Gestaltung von komplexen Benutzeroberflächen ... 170 6.3 ... Arbeiten mit Fragmenten ... 178 6.4 ... Dialoge implementieren und verwenden ... 189 7. Arbeiten mit Layouts ... 197 7.1 ... Einführung in die Arbeit mit Layouts ... 197 7.2 ... Standardlayouts zur Anordnung von UI-Controls ... 201 7.3 ... Arbeiten mit Formularlayouts ... 205 7.4 ... Arbeiten mit Fullscreen-Layouts ... 210 8. Responsive und adaptive Benutzeroberflächen ... 217 8.1 ... Responsiv versus adaptiv ... 217 8.2 ... Implementierung responsiver SAPUI5-Anwendungen ... 219 8.3 ... Implementierung adaptiver SAPUI5-Anwendungen ... 233 9. Komponentenorientiertes Programmieren ... 241 9.1 ... Aufbau einer Komponente ... 241 9.2 ... Integration von Komponenten ... 257 10. Anwendungsdeskriptor ... 267 10.1 ... Aufbau des Anwendungsdeskriptors ... 268 10.2 ... Zugriff auf die Konfigurationsdaten zur Laufzeit ... 285 11. Routing und Navigation ... 289 11.1 ... Einführung in die Navigationskonzepte von SAPUI5 ... 289 11.2 ... Navigation am Beispiel einer Master-Detail-Anwendung ... 301 11.3 ... Erweiterte Routingkonzepte ... 315 12. Arbeiten mit Modellen ... 321 12.1 ... JSON-Modell ... 321 12.2 ... Ressourcenmodell ... 325 12.3 ... OData-Modell ... 335 13. Sortieren, gruppieren und filtern ... 351 13.1 ... Sortieren ... 352 13.2 ... Gruppieren ... 362 13.3 ... Filtern ... 371 14. CUDQ mit OData ... 381 14.1 ... Create ... 382 14.2 ... Update ... 397 14.3 ... Delete ... 406 14.4 ... Query ... 408 14.5 ... Funktionsimport ... 414 14.6 ... Das OData-Modell der 4-Version -- ein Ausblick ... 416 15. Eingabevalidierung und eigene Datentypen ... 425 15.1 ... Einführung in die Arbeit mit Datentypen ... 425 15.2 ... Implementierung eigener Datentypen ... 435 Teil III. Weiterführende Themen ... 449 16. Smart Controls ... 451 16.1 ... Einführung in Smart Controls ... 451 16.2 ... Verwendung der »SmartTable« ... 452 16.3 ... »SmartFilterBar« ... 460 16.4 ... »SmartForm« ... 468 17. Implementierung eigener Controls ... 473 17.1 ... Grundlagen der SAPUI5-Control-Entwicklung ... 473 17.2 ... UI-Controls erweitern ... 478 17.3 ... Eigene UI-Controls implementieren ... 483 17.4 ... XML Composite Controls implementieren ... 490 18. Eventbasierte Kommunikation mit dem Event Bus ... 495 18.1 ... Einführung in das eventbasierte Anwendungsdesign ... 495 18.2 ... Der Event Bus in SAPUI5 ... 497 18.3 ... Implementierung einer eventgesteuerten Anwendungskommunikation ... 499 19. Drag and Drop ... 507 19.1 ... Grundlagen der Implementierung von Drag and Drap in SAPUI5 ... 508 19.2 ... Einsatzszenarien von Drag and Drop und ihre Implementierung ... 514 20. Theming ... 527 20.1 ... CSS ... 527 20.2 ... UI Theme Designer ... 530 21. Testen von SAPUI5-Anwendungen ... 547 21.1 ... Grundlagen von Tests in SAPUI5 ... 547 21.2 ... Unit-Tests mit QUnit ... 553 21.3 ... Oberflächentests mit OPA5 ... 563 21.4 ... Daten simulieren mit dem UI5 MockServer ... 577 21.5 ... End-to-End-Tests mit UIVeri5 ... 581 22. Entwicklungsinfrastruktur ... 589 22.1 ... Einführung und Übersicht ... 589 22.2 ... Projektsetup mit dem UI5 Tooling ... 591 22.3 ... Automatisierte Tests für CI ... 600 22.4 ... Versionsverwaltung mit Git ... 606 22.5 ... Aufbau einer Continuous-Deployment-Pipeline ... 617 23. Performanceoptimierung und Fehleranalyse ... 625 23.1 ... Grundlagen der Performanceoptimierung von SAPUI5-Anwendungen ... 626 23.2 ... Der Support Assistant ... 638 23.3 ... Einführung in die Performanceanalyse ... 657 23.4 ... Typische Fehlersituationen in SAPUI5, ihre Ursache und Lösung ... 661 24. SAP Fiori ... 667 24.1 ... Überblick ... 667 24.2 ... Implementierung einer SAPUI5-Anwendung mit der SAP Web IDE ... 677 24.3 ... Fundamental Library Styles ... 699 24.4 ... SAP Fiori Elements ... 705 24.5 ... Integration in das SAP Fiori Launchpad ... 727 Die Autoren ... 739 Index ... 741
Algorithmen und Datenstrukturen
Algorithmen und Datenstrukturen von Grund auf verstehen* Fundierte Einführung mit klarem didaktischen Aufbau* Mit konkreten Anwendungsbeispielen * Eine reichhaltige Fundgrube für Lehre und SelbststudiumKenntnisse von Algorithmen und Datenstrukturen sind ein Grundbaustein des Studiums der Informatik und verwandter Fachrichtungen. Das Buch behandelt diese Thematik in Verbindung mit der Programmiersprache Java und schlägt so eine Brücke zwischen den klassischen Lehrbüchern zur Theorie von Algorithmen und Datenstrukturen und den praktischen Einführungen in eine konkrete Programmiersprache.Die konkreten Algorithmen und deren Realisierung in Java werdenumfassend dargestellt. Daneben werden die theoretischen Grundlagen vermittelt, die in Programmiersprachen-Kursen oft zu kurz kommen: abstrakte Maschinenmodelle, Berechenbarkeit, Algorithmenparadigmen sowie parallele und verteilte Abläufe. Einen weiteren Schwerpunkt bilden Datenstrukturen wie Listen, Bäume, Graphen und Hashtabellen sowie deren objektorientierteImplementierung mit modernen Methoden der Softwareentwicklung.Die 6. Auflage führt einige neue Algorithmen ein und berücksichtigt die Neuerungen der aktuellen Java-Versionen, u.a. zu Themen wie Parallelisierung.Gunter Saake ist Professor für Datenbanken und Informationssysteme an der Uni Magdeburg und forscht unter anderem auf den Gebieten Datenbankintegration, digitale Bibliotheken, objektorientierte Informationssysteme und Informationsfusion. Er ist Koautor mehrerer Lehrbücher, u.a. zu Datenbankkonzepten und -implementierungstechniken, Datenbanken & Java. Kai-Uwe Sattler ist Professor für Datenbanken und Informationssysteme an der TU Ilmenau. Zu seinen Arbeitsgebieten zählen Datenbankintegration und Anfrageverarbeitung in heterogenen sowie massiv verteilten Datenbanksystemen. Er ist Koautor mehrerer Lehrbücher, u.a. zu Datenbankkonzepten und zu Datenbanken & Java.
Basiswissen Medizinische Software (3. Auflg.)
Das Basiswerk für die Entwicklung von Software als Medizinprodukt. 3. überarbeitete und aktualisierte Auflage.Dieses Buch beschreibt den gesamten Lebenszyklus von Software als Medizinprodukt. Es deckt den kompletten CPMS-Lehrplan (Foundation Level) ab und ergänzt ihn durch weitere Informationen. Behandelt werden im Einzelnen:Rechtliche GrundlagenQualitäts- und Dokumentenmanagement (ISO 13485)Risikomanagement und -analyse (ISO 14971)Best Practices des Software Engineering (IEC 62304)Gebrauchstauglichkeit (Benutzungsschnittstellen und IEC 62366)Medizinische InformatikIT-Sicherheit bei MedizinproduktenDas Buch eignet sich zur individuellen Vorbereitung auf die CPMS-Zertifizierungsprüfung und als Begleitliteratur zu den entsprechenden Vorbereitungsschulungen.Die 3. Auflage wurde komplett überarbeitet und beinhaltet den aktuellen Stand der Normen und Richtlinien für die Medizintechnik.Über die Autoren:Professor Christian Johner unterrichtete an mehreren Hochschulen u.a. in Konstanz, Würzburg, Krems, St. Gallen und Stanford Software Engineering, Softwarearchitektur, Softwarequalitätssicherung und Medizinische Informatik. Am „Johner Institut“ bildet der promovierte Physiker im Rahmen von berufsbegleitenden Masterstudiengängen und Seminaren Personen aus, die IT-Lösungen für das Gesundheitswesen entwickeln, prüfen, anwenden und betreiben. Mit seiner Firma berät er Medizinproduktehersteller bei der Entwicklung, Qualitätssicherung und Zulassung von medizinischer Software.Matthias Hölzer-Klüpfel studierte Physik an der Universität Würzburg. Seit 2002 ist er als Entwickler, Berater und Projektleiter tätig. Er führte zahlreiche Medizintechnikprojekte durch und war dabei sowohl bei KMU-Firmen als auch in Großunternehmen im Einsatz. Heute ist er freiberuflicher Berater und unterstützt seine Kunden bei Fragen rund um die Software- und Systementwicklung in der Medizintechnik. Neben seinen beruflichen Tätigkeiten schloss er im Juli 2009 den Masterstudiengang „IT im Gesundheitswesen“ ab. Matthias Hölzer-Klüpfel ist Mitbegründer des Vereins „ICPMSB e.V.“, der die Grundlagen für die Zertifizierungen zum „Certified Professional for Medical Software“ erarbeitet, und Vorsitzender des Richtlinienausschusses „Medical SPICE“ im Verein Deutscher Ingenieure (VDI.)Sven Wittorf hat Elektro- und Informationstechnik an der TU Darmstadt studiert und einen Abschluss als Master of Science im Bereich IT im Gesundheitswesen. Er betreute und schulte Medizinproduktehersteller unterschiedlicher Größe beim Aufsetzen von deren Softwarentwicklungsprozessen. Seit 2012 ist er Geschäftsführender Gesellschafter der Medsoto GmbH, die Softwarewerkzeuge zur Unterstützung des normenkonformen und effizienten Arbeitens in der Medizintechnik erstellt und deren Einführung in Unternehmen begleitet. Er ist Gründungsmitglied des ICPMSB e. V. und Mitglied im nationalen Normungsgremium der IEC 62304 sowie im VDI Fachausschuss „Qualitätssicherung für Software in der Medizintechnik“.
Practical System Programming with C
This book teaches system programming with the latest versions of C through a set of practical examples and problems. It covers the development of a handful of programs, implementing efficient coding examples.Practical System Programming with C contains three main parts: getting your hands dirty with multithreaded C programming; practical system programming using concepts such as processes, signals, and inter-process communication; and advanced socket-based programming which consists of developing a network application for reliable communication.You will be introduced to a marvelous ecosystem of system programming with C, from handling basic system utility commands to communicating through socket programming. With the help of socket programming you will be able to build client-server applications in no time.The “secret sauce” of this book is its curated list of topics and solutions, which fit together through a set of different pragmatic examples; each topic is covered from scratch in an easy-to-learn way. On that journey, you’ll focus on practical implementations and an outline of best practices and potential pitfalls. The book also includes a bonus chapter with a list of advanced topics and directions to grow your skills.WHAT YOU WILL LEARN* Program with operating systems using the latest version of C * Work with Linux* Carry out multithreading with C Examine the POSIX standards* Work with files, directories, processes, and signals* Explore IPC and how to work with itWHO THIS BOOK IS FORProgrammers who have an exposure to C programming and want to learn system programming. This book will help them to learn about core concepts of operating systems with the help of C programming..Sri Manikanta Palakollu is a programmer and software developer with experience in C, C++, Java, and Python as well as Linux, POSIX, and other operating system-level programming. He is a tech reviewer for various tech book publishers. Sri also contributes to various open source projects.1. Introduction to Linux Environment• Getting familiar with Linux Kernel• Linux Kernel V/S Other OS Kernels.• File Handling Utilities• Process Utilities• Network Utilities• Backup Utilities.2. Implementation of Multithreading with C• Introduction to Threads• Threads V/S process• Introduction to Multithreading.• Importance of Multithreading.• Support of Multithreading in C• Creation of threads.• Practical Examples of Multithreading.• Use cases of Multithreading.3. Getting Started with System Programming• Understanding the POSIX Standard.• Introduction to API’s• Importance of API’s• Inbuilt API’s in C4. Files and Directories• Basic concepts in files• Files meta i-nodes• System Calls for Files• I/O Operations for Files• File Permissions.• Soft and Hard Links• System call for Directories.5. Processes and Signals• Introduction to process Environment• Environment Variables• Kernel Support for Processes• Process Creation• Concept of the Zombie process• Concept of Orphan Process• System Calls for Process management• Introduction to Signals• System calls for signals• Types of Signals6. Inter process Communication (IPC)• Introduction to IPC• Types of IPC• Creation of Named PIPES• Creation of UN-Named PIPES• Concept of Message Queues• Implementation of Message Queues• Concept of Semaphore• Implementation of Semaphore.• API for Named and unnamed PIPES• API for Message Queues• API for Semaphore.7. Shared Memory• Introduction to Shared Memory.• Kernel Support for Shared Memory.• Implementation of Shared Memory.• API for Shared Memory.8. Socket Programming• Introduction to Sockets• IPC Over Networks• API for Socket Programming• OSI Layer Protocol• TCP/IP Protocol• Client Server Architecture.• System calls for Socket Programming.• Implementation of Single Client Server Architecture.• Implementation of Multiple Client Server Architecture.9. Advanced Topics and Directions.
Practical Glimpse
Learn how to edit images and create compelling digital art with Glimpse, the newest open source alternative to Adobe Photoshop and GIMP. This book explores Glimpse's broad selection of tools and features that can create beautiful (raster) digital art; painting, drawings, and art created from photos by applying one of the many filters to create artistic effects.You will quickly become acquainted with this powerful program and understand how to use workspace tools and layers. You will learn step-by-step how to correct exposure, digitally retouch and repair damaged photos, and handle just about any photo editing task—even colorizing grayscale images. Practice files are provided with step-by-step instructions to jump into photo editing and art creation.Glimpse is a powerful program that is a viable alternative to Adobe Photoshop and other proprietary software. The possibilities of the art one can create are almost limitless—get started with it using this book today.WHAT YOU'LL LEARN* Navigate the Glimpse workspace* Use layers, which are essential in any professional quality image editing program* Work with the varied tools that Glimpse offers* Enhance, retouch, and modify digital images* Restore and repair damaged family photos, and create composites such as replacing backgrounds* Create compelling digital artwork using the drawing tools and by applying artistic filtersWHO THIS BOOK IS FORAnyone desiring to learn serious image editing with Glimpse. It can be used by both fledgling and professional photographers, freelance graphic designers, students, genealogists, and more. Because it’s free, it can be especially advantageous to teachers, students, and small business owners on a budget.PHILLIP WHITT is an author, photo retouch professional and graphic designer. He is the author of several Apress books and video tutorials pertaining to image editing using GIMP and Adobe Photoshop Elements. He has edited, retouched, and restored countless digital images since the late 1990s. He has served both clients from the general public and a number of commercial clients over the years. In addition to over 20 years of image editing and graphic design experience, he also has an Expert Rating Certification in Adobe Photoshop Skills, and VTC certifications in GIMP and Scribus.PART I. ACQUIRING, INSTALLING, AND GETTING TO KNOW GLIMPSE1. An Overview of Glimpse2. Layers, Channels, Paths, and Undo History3. An Overview of the ToolsPART II. WORKING WITH DIGITAL PHOTOS4. Correcting Exposure and Contrast5. Enhancing, Correcting, and Working with Color6. Modifying, Retouching, and Restoring Photos7. Compositing ImagesPART III. CREATING DIGITAL ART.8. Drawing Basics9. Creating Digital Artwork.10. Using Artistic Filters
VBA-Kochbuch für Excel-Anwender
- Praxistaugliche VBA-Rezepte für den Alltag- Schnelle und effiziente Lösungen zum Nachschlagen- Mit zahlreichen Beispielen und Tipps - auch zum DownloadSie arbeiten mit Excel, nutzen gelegentlich auch Makros und VBA (Visual Basic for Applications) – und manchmal fehlen Ihnen dabei Ideen zur Herangehensweise? Dann leistet Ihnen diese Rezeptsammlung als Nachschlagewerk gute Dienste, wenn es darum geht, wiederkehrende Aufgaben schnell und einfach mit VBA umzusetzen. Die Autoren halten sich nicht mit umständlichen Erklärungen auf, sondern präsentieren Ihnen Basisrezepturen für den Alltag sowie viele appetitanregende Beispiele. Sie würzen ihre Erläuterungen mit praktischen Tipps zum Nachkochen und zur Verwendung von individuellen Zutaten. Zudem servieren sie Ihnen Spezialitäten wie z. B. eigene Formulare, die Steuerung von Diagrammelementen oder die Datenübergabe an Word und PowerPoint. Stellen Sie sich also Ihr eigenes VBA-Menü zusammen und freuen Sie sich auf gut nachvollziehbare Anleitungen! Alle Rezepte stehen auch zum Download für Sie bereit.
Practical Python Data Visualization
Quickly start programming with Python 3 for data visualization with this step-by-step, detailed guide. This book’s programming-friendly approach using libraries such as leather, NumPy, Matplotlib, and Pandas will serve as a template for business and scientific visualizations.You’ll begin by installing Python 3, see how to work in Jupyter notebook, and explore Leather, Python’s popular data visualization charting library. You’ll also be introduced to the scientific Python 3 ecosystem and work with the basics of NumPy, an integral part of that ecosystem. Later chapters are focused on various NumPy routines along with getting started with Scientific Data visualization using matplotlib. You’ll review the visualization of 3D data using graphs and networks and finish up by looking at data visualization with Pandas, including the visualization of COVID-19 data sets.The code examples are tested on popular platforms like Ubuntu, Windows, and Raspberry Pi OS. With Practical Python Data Visualization you’ll master the core concepts of data visualization with Pandas and the Jupyter notebook interface.WHAT YOU'LL LEARN* Review practical aspects of Python Data Visualization with programming-friendly abstractions * Install Python 3 and Jupyter on multiple platforms including Windows, Raspberry Pi, and Ubuntu * Visualize COVID-19 data sets with PandasWHO THIS BOOK IS FORData Science enthusiasts and professionals, Business analysts and managers, software engineers, data engineers.Ashwin Pajankar holds a Master of Technology from IIIT Hyderabad, and has over 25 years of programming experience. He started his journey in programming and electronics at the tender age of 7 with BASIC programming language and is now proficient in Assembly programming, C, C++, Java, Shell Scripting, and Python. Other technical experience includes single board computers such as Raspberry Pi and Banana Pro, and Arduino.He is currently a freelance online instructor teaching programming bootcamps to more than 60,000 students from tech companies and colleges. His Youtube channel has an audience of 10000 subscribers and he has published more than 15 books on programming and electronics with many international publications.CHAPTER 1: DATA VISUALIZATION WITH LEATHERChapter Goal: Introduce readers to the data visualization with a simple library leatherNo of pages: 15Sub - Topics:1. Introduction to leather2. Installation to leather3. Various types of graphs with leatherCHAPTER 2: INTRODUCTION TO THE SCIENTIFIC PYTHON ECOSYSTEM AND NUMPYChapter Goal: Explore Scientific Python 3 ecosystem and constituent member libraries. We will also learn basics of the NumPy multidimensional data structure Ndarrays.No of pages: 15Sub - Topics:1. Scientific Python 3 Ecosystem2. Member libraries3. Installation of NumPy4. NumPy basics5. NdarraysCHAPTER 3: NUMPY ROUTINES AND VISUALIZATION WITH MATPLOTLIBChapter goal – Learn to visualize data with Matplotlib. Readers working in the data science and scientific domains will be thrilled to get started with this.No of pages: 15Sub - Topics:1. NumPy Ndarray creation Routines2. Installation of Matplotlib3. Visualization with Matplotlib4. Multiple graphs5. Axis, colors, and markersCHAPTER 4 : VISUALIZING IMAGES AND 3D SHAPESChapter goal – Learn to visualize greyscale and color images. We will explore basic image processing operations. We will also learn to visualize 3D shapes and wireframes.No of pages: 20Sub - Topics:1. Visualize images with Matplotlib2. Basic Operations on images3. 3D visualizationsCHAPTER 5 : VISUALIZE NETWORKS AND GRAPHSChapter goal – Network and Graph Data structures. We will learn to install network library and visualize network.No of pages: 15Sub - Topics:1. Networks and Graphs2. Installation of network library3. Visualize graphsCHAPTER 6 : GETTING STARTED WITH PANDASChapter goal – Learn to work with Pandas Series and Dataframe data structures.No of pages: 15Sub - Topics:1. Pandas library and installation2. Series3. Dataframes4. Reading data from a URLCHAPTER 7: PROCESSING AND VISUALIZING COVID-19 DATAChapter goal – Learn to work with COVID-19 Data. Visualize the number of COVID-19.No of pages: 20Sub - Topics:1. COVID-19 Pandemic2. COVID 19 data sources3. COVID 19 python libraries4. Visualization of dataAPPENDIX:
Essential Excel 2019
Create, edit, sort, analyze, summarize, and format data as well as graph it in Excel 2019. Chock full of visuals, user-friendly instructions, and reader exercises, this in-depth guide makes it easy for you to get on the bandwagon taking advantage of this powerful software and what it can do. ESSENTIAL EXCEL 2019 doesn’t mess around. It provides the most clear and concise, but complete, information you need to successfully use the expansive features of Excel in your work environment.The second edition of this soup-to-nuts book delivers essential how-to and reference information for users who are new to Excel, those who want to continue building their Excel skills, or anyone who wants to get up to speed on the latest changes and features in Excel 2019. It is heavy on the practical examples and light on the theory, providing a step-by-step process of what you need to do when you are working with Excel. You will begin with the basics, advancing as each chapter builds on knowledge from previous chapters. You will appreciate real-life examples and exercises that reinforce what you have learned, and upon finishing the book, you will have the confidence to use much more than the typical 10% that most people use in Excel.WHAT YOU WILL LEARN* Create amazing visualizations of your data* Get up to speed on easy and accurate methods for entering data* Extract the information you want from imported data; manipulate and format it to meet your needs* Export your results to other programs or share with others in the cloud* Organize, summarize, filter, and consolidate your data in multiple ways* Audit, validate, and protect your dataWHO THIS BOOK IS FORAnyone new to Excel or looking to take better advantage of the advanced features of the platformDAVID SLAGER has been a computer programmer for four decades, with a focus on Excel. He also was head of the computer department of a college for many years. He is currently a software manager. David has worked with spreadsheets since their introduction. As a consultant, he developed major e-learning training projects for agriculture and steel businesses and designed a simulation program that trained feed market managers to use analytics to improve their market position. He enjoys working with analytics and solving problems and has taught learners of all ages and levels. David holds an MS in Education, specializing in Instructional Media Development, a BA in Organizational Management, and an associate’s degree in Accounting, as well as many certifications.ANNETTE SLAGER has been involved in data management and employee training in the non-profit and higher education sectors. She has been responsible for coordinating donor stewardship events and processes, and in overseeing information entered into the donor/alumni data system. She has transitioned systems from manual accounting and processing to shared databases, and created learning manuals and training for employees. Annette has a bachelor’s degree in English Literature and a post-baccalaureate certificate in Technical Writing.Chapter 1 – Becoming Acquainted with ExcelChapter 2 – Navigating and Working with WorksheetsChapter 3 – Best Ways to Enter Data and Edit DataChapter 4: Formatting and Aligning DataChapter 5: Different Ways of Viewing and Printing Your WorkbookChapter 6: Understanding BackstageChapter 7: Creating and Using FormulasChapter 8: Excel’s Pre-existing FunctionsChapter 9: Auditing, Validating, and Protecting Your DataChapter 10: Using Hyperlinks, Combining Text, and Working with theStatus BarChapter 11: Transferring and Duplicating Data to Other LocationsChapter 12: Working with TablesChapter 13: Working with ChartsChapter 14: Importing DataChapter 15: Using PivotTables and PivotChartsChapter 16: Geography and Stock Data TypesChapter 17: Enhancing Workbooks with MultimediaChapter 18: Icons, 3D Images and Object GroupingChapter 19: Automating Tasks with Macros
Beginning R 4
Learn how to use R 4, write and save R scripts, read in and write out data files, use built-in functions, and understand common statistical methods. This in-depth tutorial includes key R 4 features including a new color palette for charts, an enhanced reference counting system (useful for big data), and new data import settings for text (as well as the statistical methods to model text-based, categorical data).Each chapter starts with a list of learning outcomes and concludes with a summary of any R functions introduced in that chapter, along with exercises to test your new knowledge. The text opens with a hands-on installation of R and CRAN packages for both Windows and macOS. The bulk of the book is an introduction to statistical methods (non-proof-based, applied statistics) that relies heavily on R (and R visualizations) to understand, motivate, and conduct statistical tests and modeling.Beginning R 4 shows the use of R in specific cases such as ANOVA analysis, multiple and moderated regression, data visualization, hypothesis testing, and more. It takes a hands-on, example-based approach incorporating best practices with clear explanations of the statistics being done.You will:* Acquire and install R and RStudio* Import and export data from multiple file formats* Analyze data and generate graphics (including confidence intervals)* Interactively conduct hypothesis testing* Code multiple and moderated regression solutionsWHO THIS BOOK IS FORProgrammers and data analysts who are new to R. Some prior experience in programming is recommended.MATT WILEY is a tenured, associate professor of mathematics with awards in both mathematics education and honor student engagement. He earned degrees in pure mathematics, computer science, and business administration through the University of California and Texas A&M systems. He serves as director for Victoria College’s quality enhancement plan and managing partner at Elkhart Group Limited, a statistical consultancy. With programming experience in R, C++, Ruby, Fortran, and JavaScript, he has always found ways to meld his passion for writing with his joy of logical problem solving and data science. From the boardroom to the classroom, Matt enjoys finding dynamic ways to partner with interdisciplinary and diverse teams to make complex ideas and projects understandable and solvable.JOSHUA F. WILEY is a lecturer in the Monash Institute for Cognitive and Clinical Neurosciences and School of Psychological Sciences at Monash University and a senior partner at Elkhart Group Limited, a statistical consultancy. He earned his PhD from the University of California, Los Angeles, and his research focuses on using advanced quantitative methods to understand the complex interplays of psychological, social, and physiological processes in relation to psychological and physical health. In statistics and data science, Joshua focuses on biostatistics and is interested in reproducible research and graphical displays of data and statistical models. Through consulting at Elkhart Group Limited and former work at the UCLA Statistical Consulting Group, he has supported a wide array of clients ranging from graduate students, to experienced researchers, and biotechnology companies. He also develops or co-develops a number of R packages including varian, a package to conduct Bayesian scale-location structural equation models, and MplusAutomation, a popular package that links R to the commercial Mplus software.1: Installing R2: Installing Packages and Using Libraries3: Data Input and Output4: Working with Data5: Data and Samples6: Descriptive Statistics7: Understanding Probability and Distribution8: Correlation and Regression9: Confidence Intervals10: Hypothesis Testing11: Multiple Regression12: Moderated Regression13: Analysts of VarianceBibliography
Affinity Photo 1.8 (2. Auflg.)
Praxiswissen für EinsteigerWinfried Seimert zeigt Ihnen, wie Sie Affinity Photo in der aktuellen Version 1.8 bestmöglich nutzen und eigene Fotos bearbeiten können. Der Schwerpunkt liegt dabei auf elementaren Arbeitsweisen, die im Alltag am häufigs-ten eingesetzt werden. Dabei geht der Autor Schritt für Schritt vor und erklärt die Funktionen anhand von leicht verständlichen Beispielen.Zuerst erfahren Sie, wie die Fotos Ihrer Kamera mit ein paar schnellen Klicks am Bildschirm optimieren können. Danach lernen Sie u.a., wie Sie Ihre Bilder freistellen, um nur bestimmte Bereiche zu bearbeiten, und wie Sie sinnvoll mit Ebenen arbeiten. Sie lernen Gradationskurven zu lesen und die Belichtung, den Kontrast und den Weißabgleich Ihrer Fotos zu verbessern. Außerdem demonstriert Winfried Seimert Ihnen, wie Sie trübe Himmel aufhübschen, unerwünschte Bildteile entfernen oder Fotomontagen vornehmen.Sie erhalten eine Fülle an grundlegendem Wissen, so dass Sie zukünftig problemlos selbstständig mit Affinity Photo arbeiten und Ihrer Kreativität freien Lauf lassen können.Aus dem Inhalt:Basiswissen: Benutzeroberfläche, Einstellungen und TastenkombinationenHilfslinien und Raster verwendenBildgröße anpassen und Bilder ausrichtenFarbanpassung vornehmen und Farbmodelle verstehenFreistellen und SeparierenArbeiten mit Ebenen: Zeichenobjekt-, Text-, Füllungs-, Maskierungs-, Anpassungs- und Live-FilterebenenSchnelle automatische sowie manuelle BildoptimierungSpezialeffekte und Filter einsetzen: Scharfzeichnen, Verzerren, Färben u.v.m.Fotomontagen, Bildretusche, Schönheitskorrekturen, Restaurieren und PanoramenÜber den Autor:Winfried Seimert ist IT-Dozent und Autor zahlreicher Fachbücher insbesondere zu den Themen Software und Betriebssysteme. Dabei hat er immer den Komfort des Anwenders im Blick und erklärt entsprechend praxisnah. So erfreuen sich seine Bücher aufgrund ihrer durchdachten Strukturierung bereits seit Mitte der neunziger Jahre großer Beliebtheit.
Office 2019 und Windows 10: Der leichte Umstieg
Die verständliche Anleitung für Windows-Anwender:- Neuerungen schnell verstehen und gezielt einsetzen.- Alle Änderungen in Word, Excel, PowerPoint & Outlook 2019 im Griff.Lernen Sie alle Neuerungen, Änderungen und Besonderheiten von Windows 10 sowie der Office-2019-Programme kennen! Dieses Buch richtet sich an den erfahrenen Nutzer. Es hält Sie also nicht mit bekannten Grundlagen auf, sondern vermittelt kompakt den Umgang mit dem aktuellen Windows-Betriebssystem und den neuen Features von Word, Excel, Outlook und PowerPoint. Übersichtlich und anschaulich aufbereitet erfahren Sie, wo Sie gewohnte Befehle finden, welche Möglichkeiten die neuen Funktionen eröffnen und wie Sie die Benutzeroberfläche individuell anpassen. Optimieren Sie Ihre Arbeitsabläufe mit Office 2019 und Windows 10 und werden Sie mithilfe dieses Buchs noch effizienter!Aus dem Inhalt: Zu Windows 10:- Das neue Startmenü individuell gestalten- Die Suchfunktion – bequem und unkompliziert- So passen Sie die Benutzeroberfläche an Ihre Bedürfnisse an- Bekannte Einstellungen schnell auffinden und neue gezielt nutzen- Datenschutz und Sicherheit- Mit dem Info-Center auf dem Laufenden bleiben - Meldungen zu Sicherheitsproblemen oder Terminerinnerungen erhalten- Mehrere Desktops nutzen Zu Office 2019:- Dateien im Team bearbeiten- Neue grafische Gestaltungsmöglichkeiten mit Piktogrammen und 3D-Modellen- Word: im Handumdrehen ansprechende Dokumente mit Formatvorlagen erstellen- Excel: neue komfortable Berechnungsfunktionen und Diagrammtypen- Outlook: mit Popups eine übersichtliche Zusammenstellung aller Termine, Aufgaben und favorisierten Kontakte erhalten- PowerPoint: Folienobjekte morphen, Präsentationsablauf mit Zoom steuern und Vorführen in der Referentenansicht
Photoshop Elements 2021 For Dummies
GET PICTURE-PERFECT RESULTS WITH PHOTOSHOP ELEMENTS 2021Photoshop Elements has a reputation for delivering the photo editing power that non-professional photographers and designers need to get eye-catching—and art-quality—results. This book offers guidance for applying everything from simple, one-click fixes all the way up to detailed retouching of your images.Photoshop Elements 2021 For Dummies assumes no prior photo-editing experience and makes it easy for even the absolute beginner to quickly grasp how to edit to create slick, professional-looking photos. In no time at all you’ll feel confident in everything from common image fixes to utilizing more creative techniques, such as using image layers to create a standout look. You’ll also find tips on building and managing complex photo projects.* Understand photo-editing concepts* Adjust clarity, color, and brightness* Add artistic touches* Catalog and organize your workThis fun and easy guide provides the steps you need to get the most out of this popular version of Photoshop—and will help you achieve truly beautiful results!BARBARA OBERMEIER is the principal of Obermeier Design as well as an adjunct professor at California Lutheran University. TED PADOVA is adjunct professor of visual arts and digital photography at Sillman University in Dumaguete, Philippines. Barbara and Ted are the authors or coauthors of more than 90 books. INTRODUCTION 1About This Book 1Icons Used in This Book 2Beyond the Book 3Where to Go from Here 3PART 1: GETTING STARTED WITH PHOTOSHOP ELEMENTS 2021 5CHAPTER 1: GETTING STARTED WITH IMAGE EDITING 7Getting Familiar with the Home Screen 7Launching the Photo Editor 9Making Basic Edits in Quick Mode 10Sharing a Photo 12Retracing Your Steps 14Using the History panel 14Reverting to the last save 15Getting a Helping Hand 15Saving Files with Purpose 17Using the Save/Save As dialog box 17Saving files for the web 19CHAPTER 2: BASIC IMAGE-EDITING CONCEPTS 21Grappling with the Ubiquitous Pixels 22Understanding resolution 22Understanding image dimensions 25The Art of Resampling 25Choosing a Resolution for Print or Onscreen 28Working with File Formats 28JPEG (*.jpg, *.jpeg, *.jpe) 28PNG (*.png) 30TIFF (*.tif, *.tiff) 30Getting Familiar with Color 31Getting Color Right 32Color the easy way 33Calibrating your monitor 33Choosing a color workspace 34Understanding how profiles work 35CHAPTER 3: EXPLORING THE PHOTO EDITOR 37Examining the Photo Editor 37Examining the image window 41Uncovering the contextual menus 45Selecting the tools 45Selecting from the Tool Options 48Playing with panels 48Using the Photo Bin 51Creating different views of an image 52Viewing filenames 52Using Photo Bin Actions 53Finding Your Bearings in Guided Mode 53Controlling the Editing Environment 55Launching and navigating Preferences 55Checking out all the Preferences panes 56PART 2: MANAGING MEDIA 61CHAPTER 4: NAVIGATING THE ORGANIZER 63Organizing Photos and Media on a Hard Drive 64Adding Images to the Organizer 65Adding files from folders and removable media 65Downloading camera images with the Elements Downloader 67Importing additional photos from folders 69Navigating the Media Browser 71Using a Scanner 72Understanding image requirements 72Using scanner plug-ins (Windows) 73Scanning on the Mac 75Scanning many photos at a time 75Phoning in Your Images 76Setting Organizer Preferences 78CHAPTER 5: ORGANIZING YOUR PICTURES 81Touring the Organizer 81Organizing Groups of Images with Tags 85Creating and viewing a tag 85Adding icons to tags 87Working with custom tags 88Working with default tags 90Working with sub-categories 90Sorting photos according to tags 91Auto Curating Images 92Working with Auto Creations 92Adding new Events 93Rating Images with Stars 93Adding Images to an Album 94Creating an album 94Using albums for temporary work 97Editing an album 97Finding out more about sharing your albums 98Adding People in the Media Browser 98Placing Pictures on Maps 100Working with Events 102CHAPTER 6: VIEWING AND FINDING YOUR IMAGES 105Cataloging Files 105Using the Catalog Manager 106Working with catalogs 107Backing up your catalog 108Backing up photos and files 109Switching to a Different View 110Viewing Photos in Memories (Slideshow) 111Searching for Photos 113Using Search 113Searching for untagged items 115Searching captions and notes 115Searching by history 116Searching metadata 116Searching similarities 118Grouping Files That Get in the Way 119Marking files as hidden 119Stackin’ ’em up 120Creating versions 121PART 3: SELECTING AND CORRECTING PHOTOS 123CHAPTER 7: EDITING CAMERA RAW IMAGES 125Launching the Camera Raw Editor 126Understanding Camera Raw 127Learning Raw file format attributes 128Opening images in the Camera Raw Editor 129Getting Familiar with the Raw Editor 130Getting Familiar with the Panels 133Using the Basic panel 134Sharpening and reducing noise 137Using the Calibration panel 139Working with Filmstrips 140Synchronizing edits 141Synchronizing defaults 143Working with Profiles 143Looking at the Adobe Camera Raw profiles 144Managing profiles 145Creating a Favorites list 146Opening Non-Raw Images in the Camera Raw Editor 146Changing Image Defaults 147Working with XML Files and Preferences 147Changing program defaults 148Using Save Options 149Using sidecar files 149CHAPTER 8: MAKING AND MODIFYING SELECTIONS 151Defining Selections 151Creating Rectangular and Elliptical Selections 152Perfecting squares and circles with Shift and Alt (Option on the Mac) 154Applying Marquee options 154Making Freeform Selections with the Lasso Tools 156Selecting with the Lasso tool 157Getting straight with the Polygonal Lasso tool 159Snapping with the Magnetic Lasso tool 159Working Wizardry with the Magic Wand 162Talking about Tolerance 162Wielding the Wand to select 163Modifying Your Selections 165Adding to, subtracting from, and intersecting a selection 165Avoiding key collisions 166Painting with the Selection Brush 167Painting with the Quick Selection Tool 169Selecting with the Auto Selection Tool 171Selecting Your Subject 172Fine-Tuning with the Refine Selection Brush 174Working with the Cookie Cutter Tool 176Eliminating with the Eraser Tools 178The Eraser tool 178The Background Eraser tool 179The Magic Eraser tool 180Using the Select Menu 181Selecting all or nothing 181Reselecting a selection 181Inversing a selection 181Feathering a selection 182Refining the edges of a selection 182Using the Modify commands 184Applying the Grow and Similar commands 184Saving and loading selections 185CHAPTER 9: WORKING WITH LAYERS 187Getting to Know Layers 187Converting a background to a layer 188Anatomy of the Layers panel 189Using the Layer and Select menus 192Working with Different Layer Types 194Image layers 194Adjustment layers 195Fill layers 197Shape layers 198Type layers 199Tackling Layer Basics 199Creating a new layer from scratch 199Using Layer via Copy and Layer via Cut 201Duplicating layers 201Dragging and dropping layers 202Using the Paste into Selection command 202Moving a Layer’s Content 203Transforming Layers 204Adding Layer Masks 205Flattening and Merging Layers 208Flattening layers 208Merging layers 209CHAPTER 10: SIMPLE IMAGE MAKEOVERS 211Cropping and Straightening Images 211Cutting away with the Crop tool 212Fixing distortion with the Perspective Crop tool 214Cropping with a selection border 216Straightening images 216Recomposing Images 217Employing One-Step Auto Fixes 219Auto Smart Fix 220Auto Smart Tone 221Auto Levels 222Auto Contrast 223Auto Haze Removal 223Auto Color Correction 223Auto Shake Reduction 224Auto Sharpen 224Auto Red Eye Fix 225Editing in Quick Mode 227Fixing Small Imperfections with Tools 230Cloning with the Clone Stamp tool 231Retouching with the Healing Brush 233Zeroing in with the Spot Healing Brush 235Repositioning with the Content-Aware Move tool 237Lightening and darkening with Dodge and Burn tools 239Smudging away rough spots 240Softening with the Blur tool 242Focusing with the Sharpen tool 242Sponging color on and off 244Replacing one color with another 245CHAPTER 11: CORRECTING CONTRAST, COLOR, AND CLARITY 249Editing Your Photos Using a Logical Workflow 250Adjusting Lighting 251Fixing lighting with Shadows/Highlights 251Using Brightness/Contrast 252Pinpointing proper contrast with Levels 253Adjusting Color 255Removing color casts automatically 256Adjusting with Hue/Saturation 257Eliminating color with Remove Color 258Switching colors with Replace Color 259Correcting with Color Curves 262Adjusting skin tones 262Defringing layers 264Eliminating haze 266Adjusting color temperature with photo filters 267Mapping your colors 268Adjusting Clarity 269Removing noise, artifacts, dust, and scratches 270Blurring when you need to 271Sharpening for better focus 274Opening closed eyes 276Colorizing a photo 278Smoothing skin 279Adjusting facial features 280Reducing shake 281Moving Photos 282Working Intelligently with the Smart Brush Tools 284PART 4: EXPLORING YOUR INNER ARTIST 287CHAPTER 12: PLAYING WITH FILTERS, EFFECTS, STYLES, AND MORE 289Having Fun with Filters 289Applying filters 290Corrective or destructive filters 291One-step or multistep filters 291Fading a filter 292Selectively applying a filter 292Working in the Filter Gallery 293Distorting with the Liquify filter 295Correcting Camera Distortion 297Exploring Elements’ Unique Filters 298Creating a comic 299Getting graphic 300Using the Pen and Ink filter 301Dressing Up with Photo and Text Effects 302Adding Shadows, Glows, and More 304Applying styles 305Working with styles 306Using the Graphics panel 307Mixing It Up with Blend Modes 308General blend modes 309Darken blend modes 309Lighten blend modes 311Lighting blend modes 312Inverter blend modes 314HSL blend modes 314Using Photomerge 315Photomerge Panorama 316Photomerge Group Shot 318Photomerge Scene Cleaner 320Photomerge Exposure 321Photomerge Compose 323CHAPTER 13: DRAWING AND PAINTING 327Choosing Color 327Working with the Color Picker 328Dipping into the Color Swatches panel 329Sampling with the Eyedropper tool 331Getting Artsy with the Pencil and Brush Tools 332Drawing with the Pencil tool 332Painting with the Brush tool 334Using the Impressionist Brush 336Creating your own brush 337Filling and Outlining Selections 339Fill ’er up 339Outlining with the Stroke command 341Splashing on Color with the Paint Bucket Tool 342Working with Multicolored Gradients 343Applying a preset gradient 343Customizing gradients 345Working with Patterns 348Applying a preset pattern 348Creating a new pattern 349Creating Shapes of All Sorts 350Drawing a shape 350Drawing multiple shapes 352Specifying Geometry options 352Editing shapes 354CHAPTER 14: WORKING WITH TYPE 355Understanding Type Basics 355Tools 356Modes 356Formats 357Creating Point Type 358Creating Paragraph Type 359Creating Path Type 360Using the Text On Selection tool 360Using the Text On Shape tool 361Using the Text On Custom Path tool 363Specifying Type Options 364Editing Text 366Simplifying Type 367Masking with Type 368Stylizing and Warping Type 371Adjusting type opacity 371Applying filters to your type 372Painting your type with color and gradients 372Warping your type 374PART 5: PRINTING, CREATING, AND SHARING 375CHAPTER 15: GETTING IT ON PAPER 377Getting Pictures Ready for Printing 378Working with Color Printer Profiles 379Printing a photo with the printer managing color 381Printing a photo with Elements managing color 383Printing a picture package or contact sheet 384Getting Familiar with the Print Dialog Box 384Using the Prints options 384Creating transfers and more with More Options 386CHAPTER 16: SHARING YOUR WORK 389Getting Familiar with the Elements Sharing Options 389Planning ahead 390Understanding photo sharing in Elements 391Using the Share Panel 392Emailing photos 393Working with Adobe Premiere Elements 394Sharing your photos on social networks 395CHAPTER 17: MAKING CREATIONS 399Checking Out the Create Panel 399Grasping Creation-Assembly Basics 400Creating a Quote Graphic 404Creating a Memories Video 407Creating a PDF Slideshow 408Making Additional Creations 408PART 6: THE PART OF TENS 409CHAPTER 18: THE TEN BEST GUIDED EDITS 411Correct Skin Tone 411Sharpen 413Object Removal 414Perfect Portrait 416Replace Background 418Remove a Color Cast 421Levels 422Resize Your Photo 424Recompose 425Move & Scale Object 427CHAPTER 19: TEN (OR SO) MORE PROJECT IDEAS 431Screen Savers 431Flyers, Ads, and Online Auctions 432Clothes, Hats, and More 434Posters 435Household and Business Inventories 435Project Documentation 436School Reports and Projects 436Blogs 436Wait — There’s More 436Index 437