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This book provides basic and advanced concepts of Python. Our Python book is designed for beginners and professionals.Python is a simple, general purpose, high level, and object-oriented programming language.Our Python book includes all topics of Python Programming such as installation, control statements, Strings, Lists, Tuples, Dictionary, Modules, Exceptions, Date and Time, File I/O, Programs, etc.

"Building Machine Learning Applications With Ruby" is your essential guide to integrating machine learning into your Ruby projects. From data preprocessing to model training and deployment, this book covers the entire machine learning workflow using Ruby libraries and frameworks. Explore practical examples and hands-on exercises that demonstrate how to leverage the power of machine learning to solve real-world problems. Whether you're a Ruby developer looking to expand your skill set or a data scientist exploring new tools, this book will help you harness the full potential of machine learning in your Ruby applications.

How To Build Reliable Ruby Architecture - Practical tips and tricks for building a reliable and scalable Ruby architecture.

The new SAP Build is here-dive into its tools for low-code and no-code development! Looking for a new development environment to create full stack applications? Learn how to implement SAP Build Apps! Need better tools to design and build a central access point-like SAP Fiori launchpad-for business applications? Get SAP Build Work Zone up and running! Want to create, maintain, and automate business processes? Look no further than SAP Build Process Automation! With practical guidance on the whole SAP Build suite, you'll be developing in no time. Highlights include: 1) SAP Build Apps 2) SAP Build Work Zone 3) SAP Build Process Automation 4) SAP Cloud Transport Management 5) Low-code/no-code (LCNC) 6) Application development 7) Visual cloud functions 8) UI integration 9) Process development 10) Rules, decisions, and actions 11) Automation 12) Administration

Jack the Ripper and legacy codebases have more in common than you'd think. Inspired by forensic psychology methods, you can apply strategies to identify problems in your existing code, assess refactoring direction, and understand how your team influences the software architecture. With its unique blend of criminal psychology and code analysis, Your Code as a Crime Scene arms you with the techniques you need to take on any codebase, no matter what programming language you use. Software development might well be the most challenging task humanity ever attempted. As systems scale up, they also become increasingly complex, expensive to maintain, and difficult to reason about. We can always write more tests, try to refactor, and even fire up a debugger to understand complex coding constructs. That's a great starting point, but you can do so much better. Take inspiration from forensic psychology techniques to understand and improve existing code. Visualize codebases via a geographic profile from commit data to find development hotspots, prioritize technical debt, and uncover hidden dependencies. Get data and develop strategies to make the business case for larger refactorings. Detect and fix organizational problems from the vantage point of the software architecture to remove bottlenecks for the teams. The original Your Code as a Crime Scene from 2014 pioneered techniques for understanding the intersection of people and code. This new edition reflects a decade of additional experience from hundreds of projects. Updated techniques, novel case studies, and extensive new material adds to the strengths of this cult classic. Change how you view software development and join the hunt for better code! What You Need: You need to be comfortable reading code. You also need to use Git (or Subversion, Mercurial or similar version-control tool).

Analyze system crashes and freezes, navigate kernel and complete memory spaces, and diagnose patterns of abnormal software behavior using the WinDbg debugger.

Analyze crashes and freezes, navigate through user space and diagnose heap corruption, memory and handle leaks, CPU spikes, blocked threads, deadlocks, wait chains, and more using WinDbg debugger.

Unleash the hidden potential of Python to emerge as a change maker of contemporary industryDescription The current industry (also called Industry 4.0) has witnessed an unprecedented expansion of technology in a short span of time, owing to an exponential increase in computational power coupled with internet technology. Consequently, domains like artificial intelligence, machine learning, deep learning and robotic process automation have gained prominence and become the backbone of organizations, making it inevitable for professionals to upgrade their skills in these domains. Orchestrate your work with AI and ML. Learn RPA's power, conduct web symphonies, utilize spreadsheets, and automate emails. You can also extract data from PDFs and images, choreograph applications, and play with deep learning. Design workflows, create hyperautomation finales, and combine Python with UiPath. You can further build a solid stage for your projects with PyScript, and continue with test automation. This book equips you to revolutionize your work, one Python script at a time. This book can be used as ready to reference as well as a user manual for quick solutions to common organizational needs and even for brushing up on key technical domain concepts.WHAT YOU WILL LEARN¿ You will have a clear understanding of Python and create concise, flexible and maintainable applications for current industry needs.¿ You will explore web scraping techniques using powerful libraries to extract valuable data from the web.¿ You will have a high level overview of fundamentals in ML, deep learning, RPA, and hyperautomation.¿ You will learn to write compact and maintainable code in Python catering to typical applications in contemporary industries. ¿ You will also learn how to apply your learnings to real world industry scenarios using the practical Python use cases presented at the end of each chapter.WHO THIS BOOK IS FORThis book is specifically meant for students and professionals who have prior working knowledge of Python from a basic to intermediate level and would want to expand their horizon of Python programming.

The book concerns with solving about 650 ordinary and partial differential equations. Each equation has at least one solution and each solution has at least one coloured graph. The coloured graphs reveal different features of the solutions. Some graphs are dynamical as for Clairaut differential equations. Thus, one can study the general and the singular solutions. All the equations are solved by Mathematica. The first chapter contains mathematical notions and results that are used later through the book. Thus, the book is self-contained that is an advantage for the reader. The ordinary differential equations are treated in Chapters 2 to 4, while the partial differential equations are discussed in Chapters 5 to 10. The book is useful for undergraduate and graduate students, for researchers in engineering, physics, chemistry, and others. Chapter 9 treats parabolic partial differential equations while Chapter 10 treats third and higher order nonlinear partial differential equations, both with modern methods. Chapter 10 discusses the Korteweg-de Vries, Dodd-Bullough-Mikhailov, Tzitzeica-Dodd-Bullough, Benjamin, Kadomtsev-Petviashvili, Sawada-Kotera, and Kaup-Kupershmidt equations.

Preparing for your iSAQB CPSA--Foundation Level exam? Make the grade with this study guide! First, tackle essential topics and fundamentals, beginning with development approaches and design techniques for scalable software architectures. Then, see how views, templates, and documents are used to communicate design decisions, and understand how to evaluate software architectures. Level up your exam prep with this handy resource!Highlights include:iSAQB CPSA-Foundation Level exam Architecture designDevelopment approachesArchitectural patternsTemplatesDocumentationPrototypesQuality managementDeploymentModeling toolsStatic code analysis toolsCode managementHighlights:iSAQB CPSA-Foundation Level exam Architecture designDevelopment approachesArchitectural patternsTemplatesDocumentationPrototypesQuality managementDeploymentModeling toolsStatic code analysis toolsCode management

Entwickeln Sie modulare Anwendungen mit dem Java Platform Module System, dem am meisten erwarteten Feature von Java 9. Sie werden die Wartbarkeit und Leistung Ihrer Java-Anwendungen verbessern, indem Sie nur die Module einsetzen, die benötigt werden, und deren Implementierungsdetails kapseln. Bis jetzt war Java monolithisch. Die Verwendung eines beliebigen Teils von Java bedeutete die Einbindung der gesamten Laufzeitumgebung, ein Ansatz, der für die wachsende Zahl von IoT-Geräten wie Fitnessmonitoren, Küchengeräten, Spielzeugen und Spielen usw. nicht geeignet ist. Dieses Buch zeigt einen neuen Weg auf, wie Java vom kleinsten Fußabdruck im kleinsten Gerät über Desktop-PCs bis hin zu Serverplattformen skaliert werden kann. Mit Java 9 Modularity Revealed lernen Sie, Ihre Projekte zuverlässiger und skalierbarer als je zuvor zu machen, indem Sie die wichtigste Funktion von Java 9 nutzen - das Java Platform Module System, besser bekannt als Project Jigs.aw. Sie werden lernen, wie Sie einen der Hauptprobleme der Java-Programmierung vermeiden können, nämlich widersprüchliche Klassennamen aus verschiedenen Modulen oder Paketen. Sie werden lernen, benutzerdefinierte Laufzeit-Images zu erstellen, die eine minimale und kompaktere JRE darstellen und nur die Module enthalten, die Sie benötigen. Außerdem lernen Sie, wie Sie bestehende Java-Anwendungen mit Hilfe verschiedener Ansätze und Werkzeuge in modulare Anwendungen umwandeln können. Das Endergebnis ist eine neue Fähigkeit, verschiedene Module zusammenzustecken, ohne Angst vor Namensraum- und anderen Konflikten zu haben, und Sie können alles einsetzen, von kleinen Geräten bis hin zu großen Servern. Dieses Buch enthält Codebeispiele und Erläuterungen. Was Sie lernen werden Java-Anwendungen mit dem neuen, in Java 9 eingeführten modularen System erstellen ErstellenSie Ihre eigene JRE, die nur aus den von Ihnen benötigten Modulen besteht Anpassung Ihrer Testtechniken an modulare Anwendungen Ihre Abhängigkeiten von anderen Modulen aufzulösen Aktivieren Sie Module, die nur bestimmte Pakete exportieren Bestehende Java-Anwendungen in modulare Anwendungen umwandeln Verbesserung der Wartbarkeit und Leistung von Java-Anwendungen Für wen dieses Buch bestimmt ist Erfahrene Java-Programmierer, die über die neue Modularitätsunterstützung in Java 9 auf dem Laufenden bleiben und sich informieren möchten

Building modern applications with Java¿Code with Java 21 is a practical journey through one of the world's most prolific computer programming languages. It is meant to help readers build up their knowledge of common Java programming constructs, data structures, and engineering paradigms. Filled with real-world examples, this book aims to build the reader's understanding of building software applications with Java.Seasoned Java developers should buckle in as this book takes a hands-on approach to leveraging popular Java frameworks like Spring and Vaadin to build rich, feature-filled web applications. It also covers building powerful data-driven applications on enterprise-grade databases like PostgreSQL and Apache Cassandra®. This book will also show how to use Java to animate with colorful graphics and even build a simple arcade game.Around the world, Java runs on billions of devices. After its inception nearly 30 years ago, it remains one of the most popular and sought-after programming languages. Whether you are an aspiring computer hobbyist or want to gain a valuable skill en route to a lucrative career as a software developer, Code with Java 21 should be every developer's go-to reference for building Java applications.WHAT YOU WILL LEARN¿ Learn fundamental programming structures with Java.¿ Explore the new features of Java 21.¿ Build Java applications with databases like PostgreSQL and Apache Cassandra®.¿ Learn how to build graphics and simple animations with Java.¿ Leverage frameworks like Spring Boot and Spring Data.¿ Build fully-featured web GUIs with Vaadin.WHO THIS BOOK IS FORThis book is for current and aspiring software developers who wish to learn or expand their current knowledge base of the Java programming language. While the new features of Java 21 are certainly a focus, this book also shows how to build real-world applications.

C works as the building block for tons of computer programs and systems. "Learn C Programming from Scratch" is your ultimate handbook to harness the power of C. This guide gives you the information and skills you need to confidently dive into the world of programming.This beginner-friendly book takes you on a step-by-step journey through the fundamentals of C, starting with basic syntax and control flow and gradually building your skills to tackle more complex concepts like functions, arrays, and pointers. Each chapter is packed with clear explanations, real-world examples, and practical exercises to solidify your understanding. You will learn not only what the code does but also why it works the way it does, empowering you to solve problems confidently and efficiently.This book goes beyond syntax with a problem solving mindset crucial for programming success. Through this book, you will learn to tackle real-world challenges, translate them into efficient C code, and implement precise solutions.WHAT YOU WILL LEARN¿ Learn C programming from scratch by starting with the basics and progressing to more advanced topics.¿ Explore real-world applications and projects with hands-on coding, from system programming to embedded systems and game development.¿ Gain problem solving and algorithmic thinking by solving a wide range of programming challenges using C.¿ Develop efficient and optimized code with improved performance and efficient memory management. ¿ Acquire cross-platform and future-proof skills that are transferable to other programming languages and platforms.WHO THIS BOOK IS FORThis C programming book is an invaluable resource for beginners and aspiring programmers who want to build a strong foundation in programming. Its clear and concise explanations, coupled with practical examples, make it perfect for those with little to no programming experience.

This book constitutes the refereed proceedings of the 26th International Conference on Practical Aspects of Declarative Languages, PADL 2024, held in London, UK, during January 17¿19, 2024.The 13 full papers included in this book were carefully reviewed and selected from 25 submissions. The accepted papers span a range of topics related to functional and logic programming, including reactive programming, hardware implementations, implementation of marketplaces, query languages, and applications of declarative programming techniques to artificial intelligence and machine learning.

This book is your ultimate guide to mastering Python, from basic syntax to building complex projects. Dive into data structures, algorithms, object-oriented programming, and explore exciting realms like web development, game creation, and machine learning. Conquer error-handling challenges, unleash your creativity with practical projects, and learn best practices for building maintainable and impactful code. Whether you're a coding novice or a seasoned adventurer, this book equips you with the tools and knowledge to craft your own digital empire, line by line.Key Features:-Master essential Python concepts: Build a solid foundation for complex skills.-Explore diverse domains: Web, games, data science, AI, and more!-Tackle project-based learning: Apply your skills to real-world challenges.-Conquer errors and optimize your code: Build robust and maintainable programs.-Join a thriving community: Share your journey and learn from others.Empower yourself. Build your future. Conquering the Coding Kingdom begins now!

Analyze, Architect, and Innovate with Databricks Lakehouse¿The Databricks Lakehouse is groundbreaking technology that simplifies data storage, processing, and analysis. This cookbook offers a clear and practical guide to building and optimizing your Lakehouse to make data-driven decisions and drive impactful results.This definitive guide walks you through the entire Lakehouse journey, from setting up your environment, and connecting to storage, to creating Delta tables, building data models, and ingesting and transforming data. We start off by discussing how to ingest data to Bronze, then refine it to produce Silver. Next, we discuss how to create Gold tables and various data modeling techniques often performed in the Gold layer. You will learn how to leverage Spark SQL and PySpark for efficient data manipulation, apply Delta Live Tables for real-time data processing, and implement Machine Learning and Data Science workflows with MLflow, Feature Store, and AutoML. The book also delves into advanced topics like graph analysis, data governance, and visualization, equipping you with the necessary knowledge to solve complex data challenges.By the end of this cookbook, you will be a confident Lakehouse expert, capable of designing, building, and managing robust data-driven solutions.WHAT YOU WILL LEARN¿ Design and build a robust Databricks Lakehouse environment.¿ Create and manage Delta tables with advanced transformations.¿ Analyze and transform data using SQL and Python.¿ Build and deploy machine learning models for actionable insights.¿ Implement best practices for data governance and security.WHO THIS BOOK IS FORThis book is meant for Data Engineers, Data Analysts, Data Scientists, Business intelligence professionals, and Architects who want to go to the next level of Data Engineering using the Databricks platform to construct Lakehouses.

Practical Approaches to Time Series Analysis and Forecasting using Python for Informed Decision-MakingBook DescriptionEmbark on a transformative journey through the intricacies of time series analysis and forecasting with this comprehensive handbook. Beginning with the essential packages for data science and machine learning projects you will delve into Python's prowess for efficient time series data analysis, exploring the core components and real-world applications across various industries through compelling use-case studies. From understanding classical models like AR, MA, ARMA, and ARIMA to exploring advanced techniques such as exponential smoothing and ETS methods, this guide ensures a deep understanding of the subject.It will help you navigate the complexities of vector autoregression (VAR, VMA, VARMA) and elevate your skills with a deep dive into deep learning techniques for time series analysis. By the end of this book, you will be able to harness the capabilities of Azure Time Series Insights and explore the cutting-edge AWS Forecast components, unlocking the cloud's power for advanced and scalable time series forecasting.Table of Contents1. Introduction to Python and its key packages for DS and ML Projects2. Python for Time Series Data Analysis3. Time Series Analysis and its Components4. Time Series Analysis and Forecasting Opportunities in Various Industries5. Exploring various aspects of Time Series Analysis and Forecasting6. Exploring Time Series Models - AR, MA, ARMA, and ARIMA7. Understanding Exponential Smoothing and ETS Methods in TSA8. Exploring Vector Autoregression and its Subsets (VAR, VMA, and VARMA)9. Deep Learning for Time Series Analysis and Forecasting10. Azure Time Series Insights11. AWSForecast Index

Improve your game's code with design patterns to make it more readable, reusable, modular, and optimized, guided by an Unreal Authorized Instructor to enhance your overall use of C++ with Unreal EngineKey Features- Explore programming patterns, structures, and principles and their applications in Unreal Engine 5 game development- Translate code from Blueprint to C++ to implement performant solutions in game development- Build a decoupled communications hierarchy and become a better game developer- Purchase of the print or Kindle book includes a free PDF eBookBook DescriptionDesign patterns serve as a toolkit of techniques and practices that enable you to write code that's not only faster, but also more manageable. With this book, you'll explore a range of design patterns and learn how to apply them to projects developed in Unreal Engine 5.You'll begin by delving into the foundational principles of coding and develop a solid understanding of the concepts, challenges, and benefits of using patterns in your code. As you progress, you'll identify patterns that are woven into the core of Unreal Engine 5 such as Double Buffer, Flyweight, and Spatial Partitioning, followed by some of the existing tool sets that embody patterns in their design and usage including Component, Behavior Tree, and Update.In the next section of the book, you'll start developing a series of gameplay use cases in C++ to implement a variety of design patterns such as Interface and Event-based Observers to build a decoupled communications hierarchy. You'll also work with Singleton, Command, and State, along with Behavioral Patterns, Template, Subclass Sandbox, and Type Object. The final section focuses on using design patterns for optimization, covering Dirty Flag, Data Locality, and Object Pooling.By the end, you'll be proficient in designing systems with the perfect C++/Blueprint blend for maintainable and scalable systems.What you will learn- Grasp the essence of design patterns and their inherent utility- Understand the layers within UE 5 and how they work together- Identify the relationship between C++ code and Blueprint in Unreal Engine 5- Recognize the design patterns found within existing Unreal Engine 5 functions- Explore design patterns to understand their purpose and application within Unreal Engine 5- Creatively apply design patterns to existing code to overcome common challengesWho this book is forIf you are a beginner or intermediate game developer working with Unreal Engine and looking to improve your C++ coding practices, this book is tailor-made to help you produce clean, reusable code through the application of design patterns.While this book will cover introductory tasks to show the fundamentals of Unreal Engine 5, its primary purpose is not to teach Unreal Engine from scratch. Prior experience with Unreal Engine will be beneficial, but don't fret if your knowledge isn't in-depth; the book will introduce tools and features as needed.Table of Contents- Understanding Unreal Engine 5 and its layers- "Hello Patterns"- UE5 patterns in action: Double Buffer, Flyweight and Spatial Partitioning- Premade Patterns in UE5: Component, Behaviour Tree and Update Method- Forgetting Tick- Clean communication: Interface and Event Observer patterns- A perfectly decoupled system- Building Design Patterns: Singleton, Command and State- Structuring Code with Behavioural Patterns: Template, Subclass Sandbox and Type Object- Optimisation Through Patterns

Keeping up with the Python ecosystem can be daunting. Its developer tooling doesn't provide the out-of-the-box experience native to languages like Rust and Go. When it comes to long-term project maintenance or collaborating with others, every Python project faces the same problem: how to build reliable workflows beyond local development while staying in sync with the evolving ecosystem. With this hands-on guide, Python developers will learn how to forge the moving parts of a Python project into an easy-to-use toolchain, using state-of-the-art tools including Poetry, Nox, pytest, mypy, pre-commit, Black, Ruff, uv, Rye, Hatch, and more. Author Claudio Jolowicz shows you how to create robust Python project structures complete with unit tests, static analysis, code formatting, and type checking. You'll learn how to: Create open source projects with state-of-the-art infrastructure Build a custom infrastructure for all Python projects in a company or team Improve and modernize the infrastructure of an existing Python project Evaluate modern Python tooling for adoption in existing projects Use tools for packaging and dependency management Automate common development tasks such as testing, dependency updates, and publishing releases

Gain a fundamental understanding of Python¿s syntax and features with this revised introductory and practical reference. Covering a wide array of Python¿related programming topics, including addressing language internals, database integration, network programming, and web services, yoüll be guided by sound development principles. Updated to reflect the latest in Python programming paradigms and several of the most crucial features found in Python 3, Beginning Python, Fourth Edition also covers advanced topics such as extending Python and packaging/distributing Python applications. Ten accompanying projects will ensure you can get your hands dirty in no time. You will: Become a proficient Python programmer by following along with a friendly, practical guide to the language¿s key features Write code faster by learning how to take advantage of advanced features such as magic methods, exceptions, and abstraction Gain insight into modern Python programming paradigms including testing, documentation, packaging, and distribution Work through several interesting projects, including a P2P file¿sharing application, chat client, video game, remote text editor, and more Who This Book Is For Programmers, novice and otherwise, seeking a comprehensive introduction to the Python programming language.

We lelcome to Beginning C: From Novice to Professional, Fourth Edition. With this book you can become a competent C programmer. In many ways, C is an ideal language with which to learn programming. C is a very compact language, so there isn't a lot of syntax to learn before you can write real applications. In spite of its conciseness and ease, it's also an extremely powerful language that's still widely used by professionals. The power of C is such that it is used for programming at all levels, from device drivers and operating system components to large-scale applications. C compilers are available for virtually every kind of computer, so when you've learned C, you'll be equipped to program in just about any context. Finally, once you know C, you have an excellent base from which you can build an understanding of the object-oriented C++. My objective in this book is to minimize what I think are the three main hurdles the aspiring programmer must face: coming to grips with the jargon that pervades every programming language, understanding how to use the language elements (as opposed to merely knowing what they are), and appreciating how the language is applied in a practical context. Jargon is an invaluable and virtually indispensable means of communication for the expert professional as well as the competent amateur, so it can't be avoided.

Fully updated for Android Studio Hedgehog (2023.1.1) and the new UI, this book teaches you how to develop Android-based applications using the Java programming language.This book begins with the basics and outlines how to set up an Android development and testing environment, followed by an overview of areas such as tool windows, the code editor, and the Layout Editor tool. An introduction to the architecture of Android is followed by an in-depth look at the design of Android applications and user interfaces using the Android Studio environment.Chapters also cover the Android Architecture Components, including view models, lifecycle management, Room database access, the Database Inspector, app navigation, live data, and data binding.More advanced topics such as intents are also covered, as are touch screen handling, gesture recognition, and the recording and playback of audio. This book edition also covers printing, transitions, and foldable device support.The concepts of material design are also covered in detail, including the use of floating action buttons, Snackbars, tabbed interfaces, card views, navigation drawers, and collapsing toolbars.Other key features of Android Studio and Android are also covered in detail, including the Layout Editor, the ConstraintLayout and ConstraintSet classes, MotionLayout Editor, view binding, constraint chains, barriers, and direct reply notifications.Chapters also cover advanced features of Android Studio, such as App Links, Gradle build configuration, in-app billing, and submitting apps to the Google Play Developer Console.Assuming you already have some Java programming experience, are ready to download Android Studio and the Android SDK, have access to a Windows, Mac, or Linux system, and have ideas for some apps to develop, you are ready to get started.

Master the art of GUI development in Python with this comprehensive guide¿¿Python GUI with PyQt is an invaluable guide for both novice and experienced programmers who want to master the art of creating visually appealing and interactive graphical user interfaces (GUIs) for Python applications using the PyQt5 library and the Qt Designer visual layout tool. It covers all the essential concepts of PyQt5 GUI programming in a comprehensive and beginner-friendly manner.The book starts with the basics of GUI programming, such as creating windows, using layout managers, and managing signals and events. It then covers more advanced topics, such as creating dialog and message boxes, using container, input, item views, and display widgets. Then it teaches you to connect signals to slots, the cornerstone of event-driven programming, and discover how to utilize Qt Designer, a visual GUI design tool, to streamline the development process. As you progress, delve into the realm of containers, learning to organize and manage widgets with finesse. Explore the vast array of input widgets, enabling users to seamlessly provide data. You finally conclude your journey by mastering the art of display widgets, empowering you to present information with clarity and elegance. The book is also highly interactive, with practical examples and exercises at the end of each chapter. These help you solidify your understanding of the concepts and gain practical experience in PyQt5 GUI programming.WHAT YOU WILL LEARN¿ Practice your code in various IDEs, such as VS Code and Jupyter Notebook.¿ Write comments against your code to make it more readable and maintainable.¿ Discover different types of widgets available in Qt Designer, such as buttons, labels, text boxes, check boxes, radio buttons, drop-down menus, item views, and container widgets. ¿ Explore the different layout management options available in PyQt5, such as vertical, horizontal, form, and grid layouts.¿ Learn about the unique signals and slots mechanism in PyQt5 for handling events.WHO THIS BOOK IS FORThis book is for students of all levels, whether you're a novice programmer seeking to build your first GUI application or an experienced developer seeking to expand your skillset. From middle school to postgraduate, in any branch of engineering, science, or programming, this book will serve as your indispensable companion in elevating your Python programming prowess.

Juggling multiple partners and clients? Streamline your business communications with this guide to electronic data interchange (EDI) in SAP S/4HANA! Begin with an overview of EDI processing and how it works. Next, follow step-by-step instructions for configuring and managing EDIs in your SAP S/4HANA landscape. Customize IDocs, configure SAP Application Interface Framework and SAP Integration Suite, test your EDI solution, and more. This is your one-stop shop for comprehensive B2B integration in SAP S/4HANA! Highlights include: 1) Prerequisites 2) Environment setup 3) EDI standards 4) Configuration 5) SAP Application Interface Framework 6) SAP Integration Suite 7) SAP Business Technology Platform (SAP BTP) 8) Test automation 9) IDocs 10) APIs

It's finally here-your guide to Python for engineers and scientists, by an engineer and scientist! Get to know your development environments and the key Python modules you'll need: NumPy, SymPy, SciPy, Matplotlib, and VPython. Understand basic Python program structures and walk through practical exercises that start simple and increase in complexity as you work your way through the book. With information on statistical calculations, Boolean algebra, and interactive programming with Tkinter, this Python guide belongs on every scientist's shelf! Highlights include: 1) Program structures 2) NumPy 3) Matplotlib 4) SymPy 5) SciPy 6) VPython 7) Tkinter 8) Numerical calculations 9) Statistical calculations 10) Boolean algebra