Proclaimed as "A book of haiku to help with your coding skills" this fun title is a collection of some of the tips, tricks and hints Dr Nicholas J Macias says he most often give his computer science students, re-cast as a series of haiku. Topics include data structures, pointers, debugging, system programming, recursion, programming tools, general coding help, coding style, "gotchas" and vi.

<ASIN:‎ B09B7B5W73>

This book, subtitled "Productive Development for Projects That Last"  sets out to be a guide to help you hone your skills and sculpt a Python project that can stand the test of time. David Muller shows how to run static analysis tools to detect and eliminate classes of bugs before you run code, and how to experiment with Python's concurrency model and develop patterns for using Python's thread and process abstractions to their full potential. Later chapters look at using Python's type hinting system: mypy, downloading and running third-party Python packages safely without compromising on security.

<ASIN:1680508237>

This book explores the important language features and programming skills you’ll need to build production-quality software using Haskell. Along the way, Vitaly Bragilevsky provides interesting insights into why Haskell looks and works the way it does. Going beyond the basics of syntax and structure, this book opens up critical topics like advanced types, concurrency, and data processing.

<ASIN:161729540X>

This book is an exploration of modern software strategies and tactics through the lens of Facebook. Relying on in-depth interviews with more than two dozen Facebook engineers, Jeff Meyerson of the Software Engineering Daily podcast explores the product strategy, cultural principles, and technologies that made Facebook the dominant social networking company. You may not like Facebook, but you can’t deny its success. And to a large degree, that success stems from the “move fast” ethos. This book investigates how you can apply those strategies to your creative projects.

<ASIN:1544517548>

This collection of 81 Python projects will have you making digital art, games, animations, counting programs, and more right away. Al Sweigart shows how the code works, and explains how to experiment by adding your own custom touches. These simple, text-based programs are 256 lines of code or less. And whether it’s a vintage screensaver, a snail-racing game, a clickbait headline generator, or animated strands of DNA, each project is designed to be self-contained so you can easily share it online.

<ASIN:1718501242>

Subtitled "Design highly scalable and maintainable APIs with REST, gRPC, GraphQL, and the reactive paradigm", in this book Sourabh Sharma gives a developer's guide to designing, testing, and securing production-ready modern APIs with the help of practical ideas to improve your application's functionality. The book explains REST-based APIs supported by HATEOAS and ETAGs and develop reactive, async, non-blocking APIs. You'll also explore API development using gRPC and GraphQL and design modern scalable architecture with microservices.

<ASIN:1800562470>

This book will give those interested in Blender the information to start their journey into 3D. Beginning with the fundamentals of working with 3D, tutorials will help readers piece together a skill set for creating stunning 3D characters. Four complete projects will walk you through the creation of multiple characters, covering topics such as modeling, sculpting, and rendering.

<ASIN:‎ 1912843137>

This book introduces Python developers to Visual Studio Code, beginning with the steps for installing Visual Studio Code on Windows, Mac and Linux platforms, and covers how to customize Visual Studio Code to meet your needs and Python development workflow. April Speight then moves on to more advanced functionality including managing source code, debugging, unit testing, and Jupyter Notebook support. The book finishes with a walk-through of real-world projects which utilize Visual Studio Code features introduced in the book.

<ASIN:1119773369>

In this book, Marcello La Rocca introduces a collection of algorithms for complex programming challenges in data analysis, machine learning, and graph computing. The book introduces powerful approaches to a wide range of tricky coding challenges that you can adapt and apply to your own applications. Providing a balanced blend of classic, advanced, and new algorithms, this practical guide upgrades your programming toolbox with new perspectives and hands-on techniques.

<ASIN:1617295485>

This book is for developers who are new to Flutter, and also developers that already have some experience with building apps for the iOS and Android platform. It introduces the Flutter development toolkit that can be used to build apps for iOS, Android and even web and desktop, all from a single codebase. The Raywenderlich Tutorial Team show how to create and deploy full-featured mobile apps to both the iOS App Store and the Google Play Store.

<ASIN:1950325113>

This book sets out to show how Python code can be readable, reusable, and easy to maintain. Michał Jaworski and Tarek Ziadé include best practices, useful tools, and standards implemented by professional Python developers in this fourth edition and cover Python's latest features and advanced concepts. They also explore common software design patterns and various programming methodologies, such as event-driven programming, concurrency, and metaprogramming.

<ASIN:1801071101>

Scrum is the #1 approach to agile software development in the world, but by some estimates, over 70% of Scrum adoptions fall flat. Developers find themselves using “Zombie Scrum” processes that look like Scrum, but are slow, lifeless, and joyless. Christiaan Verwijs, Johannes Schartau and Barry Overeem reveal why Scrum runs aground and shows how to supercharge your Scrum outcomes, while having a lot more fun along the way.

<ASIN:0136523269>