Book Image

Daniel Arbuckle's Mastering Python

By : Daniel Arbuckle
Book Image

Daniel Arbuckle's Mastering Python

By: Daniel Arbuckle

Overview of this book

Daniel Arbuckle's Mastering Python covers the basics of operating in a Python development environment, before moving on to more advanced topics. Daniel presents you with real-world solutions to Python 3.6 and advanced-level concepts, such as reactive programming, microservices, ctypes, and Cython tools. You don't need to be familiar with the Python language to use this book, as Daniel starts with a Python primer. Throughout, Daniel highlights the major aspects of managing your Python development environment, shows you how to handle parallel computation, and helps you to master asynchronous I/O with Python 3.6 to improve performance. Finally, Daniel will teach you the secrets of metaprogramming and unit testing in Python, helping you acquire the perfect skillset to be a Python expert. Daniel will get you up to speed on everything from basic programming practices to high-end tools and techniques, things that will help set you apart as a successful Python programmer.
Table of Contents (13 chapters)

What this book covers

Chapter 1, Python Primer, is a quick primer on the Python language's syntax and semantics.

Chapter 2, Setting Up, is about getting the Python runtime installed and usable.

Chapter 3, Making a Package, shows how to create a Python source code package.

Chapter 4, Basic Best Practices, covers several of the best practices, including source code formatting rules and the use of tools such as version control in virtual environments.

Chapter 5, Making a Command-Line Utility, explains how to create a complete text-mode utility program.

Chapter 6, Parallel Processing, shows how to improve the performance of CPU-bound programs in parallel processing.

Chapter 7, Coroutines and Asynchronous I/O, explains how to improve the performance of I/O bound programs using asynchronous I/O.

Chapter 8, Metaprogramming, covers several different ways in which Python syntax or semantics can be controlled programmatically from within our own source code.

Chapter 9, Unit Testing, talks about automated unit testing and test-driven development.

Chapter 10, Reactive Programming, is about reactive programming and the RxPY framework.

Chapter 11, Microservices, is about creating microservices.

Chapter 12, Extension Modules and Compiled Code, talks about linking Python code with system-level code written in C.