Martin Fowler's guide to reworking bad code into well-structured code

Refactoring improves the design of existing code and enhances software maintainability, as well as making existing code easier to understand. Original Agile Manifesto signer and software development thought leader, Martin Fowler, provides a catalog of refactorings that explains why you should refactor; how to recognize code that needs refactoring; and how to actually do it successfully, no matter what language you use.

• Refactoring principles: understand the process and general principles of refactoring
• Code smells: recognize bad smells in code that signal opportunities to refactor
• Application improvement: quickly apply useful refactorings to make a program easier to comprehend and change
• Building tests: writing good tests increases a programmer's effectiveness
• Moving features: an important part of refactoring is moving elements between contexts
• Data structures: a collection of refactorings to organize data, an important role in programs
• Conditional Logic: use refactorings to make conditional sections easier to understand
• APIs: modules and their functions are the building blocks of our software, and APIs are the joints that we use to plug them together
• Inheritance: it is both very useful and easy to misuse, and it's often hard to see the misuse until it's in the rear-view mirror---refactorings can fix the misuse

Examples are written in JavaScript, but you shouldn't find it difficult to adapt the refactorings to whatever language you are currently using as they look mostly the same in different languages.

Whenever you read [Refactoring], it's time to read it again. And if you haven't read it yet, please do before writing another line of code. -David Heinemeier Hansson, Creator of Ruby on Rails, Founder & CTO at Basecamp

Any fool can write code that a computer can understand. Good programmers write code that humans can understand. -M. Fowler (1999)

Capturing a wealth of experience about the design of object-oriented software, four top-notch designers present a catalog of simple and succinct solutions to commonly occurring design problems. Previously undocumented, these 23 patterns allow designers to create more flexible, elegant, and ultimately reusable designs without having to rediscover the design solutions themselves.

The authors begin by describing what patterns are and how they can help you design object-oriented software. They then go on to systematically name, explain, evaluate, and catalog recurring designs in object-oriented systems. With Design Patterns as your guide, you will learn how these important patterns fit into the software development process, and how you can leverage them to solve your own design problems most efficiently.

Each pattern describes the circumstances in which it is applicable, when it can be applied in view of other design constraints, and the consequences and trade-offs of using the pattern within a larger design. All patterns are compiled from real systems and are based on real-world examples. Each pattern also includes code that demonstrates how it may be implemented in object-oriented programming languages like C++ or Smalltalk.

An Introduction to Programming by the Inventor of C++

Programming: Principles and Practice Using C++, Third Edition, will help anyone who is willing to work hard learn the fundamental principles of programming and develop the practical skills needed for programming in the real world. Previous editions have been used successfully by many thousands of students. This revised and updated edition

• Assumes that your aim is to eventually write programs that are good enough for others to use and maintain
• Focuses on fundamental concepts and techniques, rather than on obscure language-technical details
• Is an introduction to programming in general, including procedural, object-oriented, and generic programming, rather than just an introduction to a programming language
• Covers both contemporary high-level techniques and the lower-level techniques needed for efficient use of hardware
• Will give you a solid foundation for writing useful, correct, type-safe, maintainable, and efficient code
• Is primarily designed for people who have never programmed before, but even seasoned programmers have found previous editions useful as an introduction to more effective concepts and techniques
• Covers a wide range of essential concepts, design and programming techniques, language features, and libraries
• Uses contemporary C++ (C++20 and C++23)
• Covers the design and use of both built-in types and user-defi ned types, complete with input, output, computation, and simple graphics/GUI
• Offers an introduction to the C++ standard library containers and algorithms

Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.

A comprehensive guide to exploring modern Python through data structures, design patterns, and effective object-oriented techniques

Key Features:

• Build an intuitive understanding of object-oriented design, from introductory to mature programs
• Learn the ins and outs of Python syntax, libraries, and best practices
• Examine a machine-learning case study at the end of each chapter

Book Description:

Python Object-Oriented Programming, Fourth Edition dives deep into the various aspects of OOP, Python as an OOP language, common and advanced design patterns, and hands-on data manipulation and testing of more complex OOP systems. These concepts are consolidated by open-ended exercises, as well as a real-world case study at the end of every chapter, newly written for this edition. All example code is now compatible with Python 3.9+ syntax and has been updated with type hints for ease of learning.

Steven and Dusty provide a friendly, comprehensive tour of important OOP concepts, such as inheritance, composition, and polymorphism, and explain how they work together with Python's classes and data structures to facilitate good design. UML class diagrams are generously used throughout the text for you to understand class relationships. Beyond the book's focus on OOP, it features an in-depth look at Python's exception handling and how functional programming intersects with OOP. Not one, but two very powerful automated testing systems, unittest and pytest, are introduced in this book. The final chapter provides a detailed discussion of Python's concurrent programming ecosystem.

By the end of the book, you will have a thorough understanding of how to think about and apply object-oriented principles using Python syntax and be able to confidently create robust and reliable programs.

What You Will Learn:

• Implement objects in Python by creating classes and defining methods
• Extend class functionality using inheritance
• Use exceptions to handle unusual situations cleanly
• Understand when to use object-oriented features, and more importantly, when not to use them
• Discover several widely used design patterns and how they are implemented in Python
• Uncover the simplicity of unit and integration testing and understand why they are so important
• Learn to statically type check your dynamic code
• Understand concurrency with asyncio and how it speeds up programs

Who this book is for:

If you are new to object-oriented programming techniques, or if you have basic Python skills and wish to learn how and when to correctly apply OOP principles in Python, this is the book for you. Moreover, if you are an object-oriented programmer coming from other languages or seeking a leg up in the new world of Python, you will find this book a useful introduction to Python. Minimal previous experience with Python is necessary.

Master C# Programming with a unique Hands-On Project (Updated for VS Community 2017)

Have you always wanted to learn computer programming but are afraid it'll be too difficult for you? Or perhaps you know other programming languages but are interested in learning the C# language fast?

This book is for you. You no longer have to waste your time and money learning C# from boring books that are 600 pages long, expensive online courses or complicated C# tutorials that just leave you more confused.

What this book offers...

C# for Beginners

Complex concepts are broken down into simple steps to ensure that you can easily master the C# language even if you have never coded before.

Carefully Chosen C# Examples

Examples are carefully chosen to illustrate all concepts. In addition, the output for all examples are provided immediately so you do not have to wait till you have access to your computer to test the examples.

Careful selection of topics

Topics are carefully selected to give you a broad exposure to C#, while not overwhelming you with information overload. These topics include object-oriented programming concepts, error handling techniques, file handling techniques and more.

Learn The C# Programming Language Fast

Concepts are presented in a to-the-point style to cater to the busy individual. With this book, you can learn C# in just one day and start coding immediately.

How is this book different...

The best way to learn C# is by doing. At the end of the book, you'll be guided through a unique project that requires the application of all the concepts taught previously. Working through the project will not only help you see how it all ties together, it'll also give you an immense sense of achievement and the exhilaration of turning lines of code into a finished product that you can be proud of

Are you ready to dip your toes into the exciting world of C# coding? This book is for you. Click the Add to Cart button to buy it now.

What you'll learn:

Introduction to C# - What is C#? - How to install and run Visual Studio Community 2015?
Data types and Operators - What are the common data types in C#? - What are arrays and lists? - How to format C# strings - What is a value type vs reference type? - What are the common C# operators?
Object Oriented Programming - What is object oriented programming? - How to write your own classes - What are fields, properties, methods and constructors? - What is encapsulation, inheritance and polymorphism? - What is an abstract class and interface? - What is an enum and struct?
Controlling the Flow of a Program - What are condition statements? - How to use control flow statements in C# - What are jump statements? - How to handle errors and exceptions
and Others... - How to accept user inputs and display outputs - How to use LINQ to save yourself from hours of work - How to work with external files ...and so much more....

Finally, you'll be guided through a hands-on project that requires the application of all the topics covered.

Click the BUY button at the top of this page now to start learning C#. Learn it fast and learn it well.

Generative AI is transforming software development. Stay on the cutting edge with this guide to AI pair programming! Learn how to make the most of modern tools like ChatGPT and GitHub Copilot to improve your coding. Automate refactoring, debugging, and other tedious tasks, and use techniques such as prompt engineering and retrieval-augmented generation to get the code you need. Follow practical examples that show how you can program faster, more efficiently, and with fewer errors with the help of AI.

In this book, you'll learn about:

a. Hype versus Reality
Learn from expert developers to understand the possibilities (and pitfalls) of AI tools. With the help of practical code examples, see how to use AI helpers correctly to their full potential.

b. Assistants for All Tasks
This guide gives you an up-to-date overview of all aspects of AI-assisted coding: GitHub Copilot autocompletions, project bootstrapping with OpenHands, debugging and refactoring, application development, and more.

c. In the Cloud or Local?
Use OpenAI's API to integrate AI models directly into your own scripts and automations--or use local large language models (LLMs) to work independently of cloud services.


Highlights include:

1) Structured programming with AI
2) Debugging
3) Unit testing
4) Refactoring
5) Automatic document creation
6) Database development and design
7) Scripting and administration
8) Local large language models (LLMs)
9) Retrieval-augmented generation (RAG)
10) ChatGPT and GitHub Copilot
11) OpenHands
12) OpenAI API

SOLID principles are an essential part of object-oriented software development and have proven to be valuable tools for developing clean, maintainable and extensible code. In industrial automation engineering, especially in programming controllers with IEC 61131-3, it is of particular importance to develop robust and reliable systems. In this book, SOLID principles are presented in detail and explained with examples in IEC 61131-3. It also illustrates how the application of these principles improves the maintainability, extensibility, and reliability of software systems. In addition to the SOLID principles, the principles KISS, DRY, LoD and YAGNI are also presented. These do not belong to the group of SOLID principles, but they are a helpful addition.

A perfect way to have your resume outshine the rest...

The most successful programs of the last 30 years were developed in C++. From Microsoft Word to Facebook to Adobe Photoshop, C++ is at the heart of the most lucrative technologies in today's world.

C++ is the most powerful programming language in the modern world for one simple reason: it allows for complete control, not only of the program's logic and graphical user interface, but of the hardware too.

If all the IT giants use it, it stands to reason that the most successful programmers in the world all have C++ on their resume. And that's why you should add it to yours today.

With a solid foundation in C++ programming, you can open doors and grow your salary--it's simply a case of learning a new language. Once you've mastered the basics, you'll gain:

➢ The skills to micro-manage any computer's performance

➢ The ability to write code for Windows, Mac, Linux, and mobile devices

➢ The capability of programming computer games, graphical applications, and AI, to name but a few

➢ A stepping stone to mastering a host of other programming languages

➢ A fundamental understanding of a complex but logical computer language

Requirements Modeling and Coding attempts to bridge the gap between modeling and coding and serves the growing trend of agile development better than existing textbooks in the area. Instead of using toy tools to create modeling and coding examples, the author teaches IBM Rational Rhapsody as a modeling tool and Microsoft Visual C# as a programming tool. C# is the purest object-oriented programming language and the best tool for developing graphical user interfaces, while Rhapsody is a visual development environment that real software developers use to create real-time or embedded systems.This book serves as a text for a capstone course on Systems Analysis and Design in Information Systems programs. It conceptualizes business objects and functions, develops business models and software architectures, and enriches the models and the architectures by storyboarding use cases along with user interface designs.Instructor's resources are provided for free to instructors who adopt the book as textbook. Please send your request to sales@wspc.com.

TL;DR There are 23 practical recommendations for object-oriented programmers. Most of them are completely against everything you've read in other books. For example, static methods, NULL references, getters, setters, and mutable classes are called evil.

Head First Object Oriented Analysis and Design is a refreshing look at subject of OOAD. What sets this book apart is its focus on learning. The authors have made the content of OOAD accessible, usable for the practitioner.

Ivar Jacobson, Ivar Jacobson Consulting

I just finished reading HF OOA&D and I loved it! The thing I liked most about this book was its focus on why we do OOA&D-to write great software!

Kyle Brown, Distinguished Engineer, IBM

Hidden behind the funny pictures and crazy fonts is a serious, intelligent, extremely well-crafted presentation of OO Analysis and Design. As I read the book, I felt like I was looking over the shoulder of an expert designer who was explaining to me what issues were important at each step, and why.

Edward Sciore, Associate Professor, Computer Science Department, Boston College

Tired of reading Object Oriented Analysis and Design books that only makes sense after you're an expert? You've heard OOA&D can help you write great software every time-software that makes your boss happy, your customers satisfied and gives you more time to do what makes you happy.

But how?

Head First Object-Oriented Analysis & Design shows you how to analyze, design, and write serious object-oriented software: software that's easy to reuse, maintain, and extend; software that doesn't hurt your head; software that lets you add new features without breaking the old ones. Inside you will learn how to:

• Use OO principles like encapsulation and delegation to build applications that are flexible
• Apply the Open-Closed Principle (OCP) and the Single Responsibility Principle (SRP) to promote reuse of your code
• Leverage the power of design patterns to solve your problems more efficiently
• Use UML, use cases, and diagrams to ensure that all stakeholders are communicating clearly to help you deliver the right software that meets everyone's needs.

By exploiting how your brain works, Head First Object-Oriented Analysis & Design compresses the time it takes to learn and retain complex information. Expect to have fun, expect to learn, expect to be writing great software consistently by the time you're finished reading this!

[The authors] are pioneers. . . . Few in our industry have their breadth of knowledge and experience.
--From the Foreword by Dave Thomas, Bedarra Labs

Domain-Specific Modeling (DSM) is the latest approach to software development, promising to greatly increase the speed and ease of software creation. Early adopters of DSM have been enjoying productivity increases of 500-1000% in production for over a decade. This book introduces DSM and offers examples from various fields to illustrate to experienced developers how DSM can improve software development in their teams.

Two authorities in the field explain what DSM is, why it works, and how to successfully create and use a DSM solution to improve productivity and quality. Divided into four parts, the book covers: background and motivation; fundamentals; in-depth examples; and creating DSM solutions. There is an emphasis throughout the book on practical guidelines for implementing DSM, including how to identify the necessary language constructs, how to generate full code from models, and how to provide tool support for a new DSM language. The example cases described in the book are available the book's Website, www.dsmbook.com, along with, an evaluation copy of the MetaEdit+ tool (for Windows, Mac OS X, and Linux), which allows readers to examine and try out the modeling languages and code generators.

Domain-Specific Modeling is an essential reference for lead developers, software engineers, architects, methodologists, and technical managers who want to learn how to create a DSM solution and successfully put it into practice.

Regular expressions are an extremely powerful tool for manipulating text and data. They are now standard features in a wide range of languages and popular tools, including Perl, Python, Ruby, Java, VB.NET and C# (and any language using the .NET Framework), PHP, and MySQL.

If you don't use regular expressions yet, you will discover in this book a whole new world of mastery over your data. If you already use them, you'll appreciate this book's unprecedented detail and breadth of coverage. If you think you know all you need to know about regular expressions, this book is a stunning eye-opener.

As this book shows, a command of regular expressions is an invaluable skill. Regular expressions allow you to code complex and subtle text processing that you never imagined could be automated. Regular expressions can save you time and aggravation. They can be used to craft elegant solutions to a wide range of problems. Once you've mastered regular expressions, they'll become an invaluable part of your toolkit. You will wonder how you ever got by without them.

Yet despite their wide availability, flexibility, and unparalleled power, regular expressions are frequently underutilized. Yet what is power in the hands of an expert can be fraught with peril for the unwary. Mastering Regular Expressions will help you navigate the minefield to becoming an expert and help you optimize your use of regular expressions.

Mastering Regular Expressions, Third Edition, now includes a full chapter devoted to PHP and its powerful and expressive suite of regular expression functions, in addition to enhanced PHP coverage in the central core chapters. Furthermore, this edition has been updated throughout to reflect advances in other languages, including expanded in-depth coverage of Sun's java.util.regex package, which has emerged as the standard Java regex implementation.Topics include:

• A comparison of features among different versions of many languages and tools
• How the regular expression engine works
• Optimization (major savings available here!)
• Matching just what you want, but not what you don't want
• Sections and chapters on individual languages

Written in the lucid, entertaining tone that makes a complex, dry topic become crystal-clear to programmers, and sprinkled with solutions to complex real-world problems, Mastering Regular Expressions, Third Edition offers a wealth information that you can put to immediate use.

Reviews of this new edition and the second edition:

There isn't a better (or more useful) book available on regular expressions.

--Zak Greant, Managing Director, eZ Systems

A real tour-de-force of a book which not only covers the mechanics of regexes in extraordinary detail but also talks about efficiency and the use of regexes in Perl, Java, and .NET...If you use regular expressions as part of your professional work (even if you already have a good book on whatever language you're programming in) I would strongly recommend this book to you.

--Dr. Chris Brown, Linux Format

The author does an outstanding job leading the reader from regex novice to master. The book is extremely easy to read and chock full of useful and relevant examples...Regular expressions are valuable tools that every developer should have in their toolbox. Mastering Regular Expressions is the definitive guide to the subject, and an outstanding resource that belongs on every programmer's bookshelf. Ten out of Ten Horseshoes.

--Jason Menard, Java Ranch

Grokking Simplicity is a friendly, practical guide that will change the way you approach software design and development.

Summary
Distributed across servers, difficult to test, and resistant to modification--modern software is complex. Grokking Simplicity is a friendly, practical guide that will change the way you approach software design and development. It introduces a unique approach to functional programming that explains why certain features of software are prone to complexity, and teaches you the functional techniques you can use to simplify these systems so that they're easier to test and debug.

Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

About the technology
Developers rightly fear the unintended complexity that infects most code. This book shows you how to write software that keeps complexity close to its inherent minimum. As you write software you should distinguish between code that alters your system's state, and code that does not. Once you learn to make that distinction, you can refactor much of your state-altering actions into stateless calculations. Your software will be simpler.

About the book
The book also teaches you to solve the complex timing bugs that inevitably creep into asynchronous and multithreaded code. In ad­vanced sections of the book you learn how composable abstractions help avoid repeating code and open up new levels of expressivity.

What's inside
Patterns for simpler code
Powerful time modeling approaches to simplify asynchronous code
How higher-order functions can make code reusable and composable

About the reader
For intermediate and advanced developers building complex software. Exercises, illustrations, self-assessments, and hands-on examples lock in each new idea.

About the author
Eric Normand is an expert software developer who has been an influential teacher of functional programming since 2007.

Table of Contents
1 Welcome to Grokking Simplicity
2 Functional thinking in action
PART 1 - ACTIONS, CALCULATIONS, AND DATA
3 Distinguishing actions, calculations, and data
4 Extracting calculations from actions
5 Improving the design of actions
6 Staying immutable in a mutable language
7 Staying immutable with untrusted code
8 Stratified design, part 1
9 Stratified design, part 2
PART 2 - FIRST-CLASS ABSTRACTIONS
10 First-class functions, part 1
11 First-class functions, part 2
12 Functional iteration
13 Chaining functional tools
14 Functional tools for nested data
15 Isolating timelines
16 Sharing resources between timelines
17 Coordinating timelines
18 Reactive and onion architectures
19 The functional journey ahead

Write object-oriented code that's manageable, maintainable, and future-proof.

Keeping your object-oriented designs simple demands a creative approach--and that's exactly what you'll find in Simple Object-Oriented Design. This book is full of patterns and principles for reducing complexity, each one proven in author Mauricio Aniche's 20-year career in software development. You'll learn how to tackle code's natural growth in complexity, and adopt a good enough approach that means it's easy to refactor when requirements change.

You'll discover insightful principles for:

• Making code readable and documented
• Improving consistency and encapsulation
• Managing dependencies
• Designing abstractions
• Handling infrastructure
• Effective modularization

Learn what constitutes both good and bad object-oriented software design, discover how to make better trade-offs in design decisions, and when to embrace complexity over simpler data structures. With this book as your vital reference, you'll be ready to write code that will last the test of time, without slowing feature delivery to a crawl.

Purchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications.

About the technology

Even a simple object-oriented application can quickly become complex as it evolves. Each new class, method, or feature means more state and abstractions to manage, which in turn increases complexity, maintenance, and time spent detangling legacy code. It takes effort and skill to keep your codebase simple. This book shows you how.

About the book

Simple Object-Oriented Design: Create clean, maintainable applications presents practical design principles you can use to keep an object-oriented codebase simple as it grows and changes. Written as a collection of practical techniques you can apply in any OO language, it offers tips for concise code, managing dependencies and modules, and designing flexible abstractions. Illuminating figures, real-world examples, and insightful exercises make each principle stick.

What's inside

• Writing simple, understandable classes
• Flexible abstractions to extend your designs
• Reducing the impact of coupling

About the reader

Readers should be familiar with an object-oriented language like Java, C#, or Python.

About the author

Maurício Aniche is a software engineer with 20 years of experience. He's also an Assistant Professor in Software Engineering at Delft University of Technology, and the author of Effective Software Testing.

Table of Contents

1 It's all about managing complexity
2 Making code small
3 Keeping objects consistent
4 Managing dependencies
5 Designing good abstractions
6 Handling external dependencies and infrastructure
7 Achieving modularization
8 Being pragmatic

Learn Generative Analysis--a New Method of Object-Oriented Analysis--to Keep Pace with How Generative AI Is Transforming the Face of Software Engineering

Generative AI is revolutionizing software engineering--many aspects of manual coding are becoming automated, and the skills needed by software engineers, developers, and analysts are evolving. Anyone who writes or works with code will need to produce precise analysis artifacts to feed the AI code-generation process. Enter generative analysis: a precise, structured way for software engineers, programmers, and analysts to transition to this new, AI-enhanced software engineering world.

In Generative Analysis, experts Jim Arlow and Ila Neustadt leverage Literate Modeling, M++, and multivalent logic to lay out a step-by-step approach to object-oriented analysis that produces clear and unambiguous results suitable for further processing into code by generative AI systems such as Copilot, ChatGPT, and Gemini. Prepare for the challenge of the future by understanding the flexibility you already have at hand using generative analysis.

• Gain a new perspective on the shift to generative AI-based programming models
• Understand how generative analysis artifacts feed generative AIs to generate code and UML models
• Explore techniques that feed into and refine each other until a precise analysis definition of a software system is achieved
• Recognize milestones and end points to eliminate analysis paralysis
• Learn to work at the right level of abstraction to leverage the most power from generative AI
• Gain understanding from real-world, detailed examples of prompts and AI responses

This guide teaches advanced, precise, and sophisticated analysis techniques that will allow you to thrive in the new world of software engineering with generative AI.

Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.

Learn Haskell by doing Haskell projects! In this book, you'll get practical experience writing Haskell code and applying functional programming to actual development challenges.

In Learn Haskell by Example, you'll build your Haskell skills by working through hands-on challenges and conundrums. You'll learn to look at each project through a Haskell lens, and then solve it using features like lazy evaluation, immutable data structures, and monads.

In Learn Haskell by Example you will learn how to:

- Use Haskell for daily programming tasks
- Effectively apply functional concepts
- Avoid common beginner pitfalls of Haskell
- Apply abstract concepts in the Haskell language
- Debug and profile Haskell applications
- Improve the performance of Haskell applications

Haskell is an amazing choice for applications that need an extra guarantee of safety, such as in smart contracts, data intensive applications, and large scale distributed systems. In this book, you'll see just how practical Haskell can be for creating programs by building your own engaging projects! Learn how to structure real-world applications, how to work with the Haskell tool chain effectively, and what to look out for when writing critical sections in the program's logic. Best of all, each project in this book is fully extensible and customizable so you can keep tinkering with your favorites!

Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

About the technology

Programmers spend a lot of time debugging and refactoring code, reading comments and documentation, and trying to make sense out of complex designs. Haskell, a powerful, beautiful, and challenging functional programming language, promises a different path. By focusing your attention on simple functions, clearly-defined behaviors, and the right high-level abstractions, Haskell disallows the dangerous behaviors that usually lead to bugs and crashes.

About the book

Learn Haskell by Example teaches you to build applications in Haskell by designing and coding fun and engaging projects. In this easy-to-follow guide, you'll create a domain specific language for music, an image processing library, and more! You'll learn Haskell from the ground-up with a focus on important concepts like function design, composition, and data immutability. Each project gives you a new insight into how to think in Haskell and helps you understand why many Haskell developers say they will never use another language again.

What's inside

- Use Haskell for daily programming tasks
- Purely functional programming
- Avoid common Haskell pitfalls

About the reader

For readers who know how to program in an object-oriented language.

About the author

Philipp Hagenlocher is a full time Haskell developer, and the creator of the beloved Haskell for Imperative Programmers YouTube course.

The technical editor on this book was Alexander Vershilov.

Table of Contents

1 Introduction
2 Ancient secret keeping on modern machines
3 Every line counts
4 Line numbering tool
5 Words and graphs
6 Solving the ladder game
7 Working with CSV files
8 A tool for CSV
9 Quick checks and random tests
10 Digital music box
11 Programming musical compositions
12 Parsing pixel data
13 Parallel image processing
14 Files and exceptions
15 Transformers for synchronizing
16 JSON and SQL
17 APIs using Servant
Appendix A The Haskell Toolchain
Appendix B Lazy evaluation

TL;DR Compound variable names, validators, private static literals, configurable objects, inheritance, annotations, MVC, dependency injection containers, reflection, ORM, and even algorithms are our enemies.

This is the second volume in the series of Elegant Objects books. It is recommended that you read the first volume first.

Unleash the full potential of Android app development with Jetpack Compose 1.7. This comprehensive guide teaches you to build sleek, modern Android applications using the latest tools, including Android Studio, Material Design 3, and Kotlin. Tailored for developers who want to go from setup to full-scale deployment, this book takes you step-by-step through every phase of app creation-from mastering the essentials of Android Studio to publishing on the Google Play Store.

Begin by setting up your development environment and dive into Kotlin essentials, covering data types, functions, coroutines, and more to build a strong programming foundation. Then, explore Jetpack Compose fundamentals and Android project architecture, moving into practical tutorials on crafting custom Composables and layouts like row, column, box, flow, pager, and list components. The book doesn't just stop at layout; it guides you through state management, UI navigation, modifiers, and custom components.

Unlock advanced capabilities with biometric authentication, Google Maps integration, and in-app billing for revenue generation. Deepen your skills with graphics, animations, and gesture handling to create interactive and dynamic interfaces. Plus, master data storage with Room databases, view models, and live data.

To solidify your knowledge, the book includes access to over 55 online knowledge test quizzes covering each key concept, giving you a way to test your understanding and track your progress. Every concept is reinforced through hands-on tutorials, complete with downloadable source code, making it easy to follow along and practice as you go.

Every concept is reinforced through hands-on tutorials, complete with downloadable source code, making it easy to follow along and practice as you go. If you're ready to bring your app to life, this guide will walk you through the complete process, from development to publication.

Get ready to take your Android app development skills to the next level with this essential guide to Jetpack Compose 1.7.

Python is an intergrated, object-orientated development language for use in computer programming. This text is split into distinct sections, each concentrating on a core angle of the language. The book also contains sections for Web and application development, the two most popular uses for Python. It is designed to teach a programmer how to use Python by explaining the mechanics of Python. The appendixes offer a quick guide to the main features of the Python language, as well as additional guides to non-essential systems such as the IDLE development environment and general guidelines for migrating from another language.