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Best Programming Books 2021
Design Patterns: Elements of Reusable Object-Oriented Software
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.
Automate the Boring Stuff with Python, 2nd Edition: Practical Programming for Total Beginners
If you’ve ever spent hours renaming files or updating hundreds of spreadsheet cells, you know how tedious tasks like these can be. But what if you could have your computer do them for you?
In this fully revised second edition of the best-selling classic Automate the Boring Stuff with Python, you’ll learn how to use Python to write programs that do in minutes what would take you hours to do by hand–no prior programming experience required. You’ll learn the basics of Python and explore Python’s rich library of modules for performing specific tasks, like scraping data off websites, reading PDF and Word documents, and automating clicking and typing tasks.
The second edition of this international fan favorite includes a brand-new chapter on input validation, as well as tutorials on automating Gmail and Google Sheets, plus tips on automatically updating CSV files. You’ll learn how to create programs that effortlessly perform useful feats of automation to:
• Search for text in a file or across multiple files
• Create, update, move, and rename files and folders
• Search the Web and download online content
• Update and format data in Excel spreadsheets of any size
• Split, merge, watermark, and encrypt PDFs
• Send email responses and text notifications
• Fill out online forms
Step-by-step instructions walk you through each program, and updated practice projects at the end of each chapter challenge you to improve those programs and use your newfound skills to automate similar tasks.
Clean Code: A Handbook of Agile Software Craftsmanship
Even bad code can function. But if code isn’t clean, it can bring a development organization to its knees. Every year, countless hours and significant resources are lost because of poorly written code. But it doesn’t have to be that way.
Noted software expert Robert C. Martin, presents a revolutionary paradigm with Clean Code: A Handbook of Agile Software Craftsmanship. Martin, who has helped bring agile principles from a practitioner’s point of view to tens of thousands of programmers, has teamed up with his colleagues from Object Mentor to distill their best agile practice of cleaning code “on the fly” into a book that will instill within you the values of software craftsman, and make you a better programmer―but only if you work at it.
What kind of work will you be doing? You’ll be reading code―lots of code. And you will be challenged to think about what’s right about that code, and what’s wrong with it. More importantly you will be challenged to reassess your professional values and your commitment to your craft.
Clean Code is divided into three parts. The first describes the principles, patterns, and practices of writing clean code. The second part consists of several case studies of increasing complexity. Each case study is an exercise in cleaning up code―of transforming a code base that has some problems into one that is sound and efficient. The third part is the payoff: a single chapter containing a list of heuristics and “smells” gathered while creating the case studies. The result is a knowledge base that describes the way we think when we write, read, and clean code.
Readers will come away from this book understanding
- How to tell the difference between good and bad code
- How to write good code and how to transform bad code into good code
- How to create good names, good functions, good objects, and good classes
- How to format code for maximum readability
- How to implement complete error handling without obscuring code logic
- How to unit test and practice test-driven development
- What “smells” and heuristics can help you identify bad code
This book is a must for any developer, software engineer, project manager, team lead, or systems analyst with an interest in producing better code.
The DevOps Handbook: How to Create World-Class Agility, Reliability, and Security in Technology Organizations
Increase profitability, elevate work culture, and exceed productivity goals through DevOps practices.
More than ever, the effective management of technology is critical for business competitiveness. For decades, technology leaders have struggled to balance agility, reliability, and security. The consequences of failure have never been greater―whether it’s the healthcare.gov debacle, cardholder data breaches, or missing the boat with Big Data in the cloud.
And yet, high performers using DevOps principles, such as Google, Amazon, Facebook, Etsy, and Netflix, are routinely and reliably deploying code into production hundreds, or even thousands, of times per day.
Following in the footsteps of The Phoenix Project, The DevOps Handbook shows leaders how to replicate these incredible outcomes, by showing how to integrate Product Management, Development, QA, IT Operations, and Information Security to elevate your company and win in the marketplace.
Introducing Go: Build Reliable, Scalable Programs
Perfect for beginners familiar with programming basics, this hands-on guide provides an easy introduction to Go, the general-purpose programming language from Google. Author Caleb Doxsey covers the language’s core features with step-by-step instructions and exercises in each chapter to help you practice what you learn.
Go is a general-purpose programming language with a clean syntax and advanced features, including concurrency. This book provides the one-on-one support you need to get started with the language, with short, easily digestible chapters that build on one another. By the time you finish this book, not only will you be able to write real Go programs, you’ll be ready to tackle advanced techniques.
- Jump into Go basics, including data types, variables, and control structures
- Learn complex types, such as slices, functions, structs, and interfaces
- Explore Go’s core library and learn how to create your own package
- Write tests for your code by using the language’s go test program
- Learn how to run programs concurrently with goroutines and channels
- Get suggestions to help you master the craft of programming
Get a comprehensive, in-depth introduction to the core Python language with this hands-on book. Based on author Mark Lutz’s popular training course, this updated fifth edition will help you quickly write efficient, high-quality code with Python. It’s an ideal way to begin, whether you’re new to programming or a professional developer versed in other languages.
Complete with quizzes, exercises, and helpful illustrations, this easy-to-follow, self-paced tutorial gets you started with both Python 2.7 and 3.3— the latest releases in the 3.X and 2.X lines—plus all other releases in common use today. You’ll also learn some advanced language features that recently have become more common in Python code.
- Explore Python’s major built-in object types such as numbers, lists, and dictionaries
- Create and process objects with Python statements, and learn Python’s general syntax model
- Use functions to avoid code redundancy and package code for reuse
- Organize statements, functions, and other tools into larger components with modules
- Dive into classes: Python’s object-oriented programming tool for structuring code
- Write large programs with Python’s exception-handling model and development tools
- Learn advanced Python tools, including decorators, descriptors, metaclasses, and Unicode processing