Daniel Arbuckle's Mastering Python

Key Features

• Covers the latest and advanced concepts of Python such as parallel processing with Python 3.6
• Explore the Python language from its basic installation and setup to concepts such as reactive programming and microservices
• Get introduced to the mechanism of rewriting code in a compiled language along with ctypes and Cython tools

Book Description

Python is one of the most powerful, flexible, and popular programming languages in the world. With Python, you can write code that is efficient, maintainable, and reusable.

In this book, we cover the basics of operating in a Python development environment as well as the advanced topics. We present you with real-world solutions to Python 3.6 and advanced-level concepts such as reactive programming and microservices, introduce ctypes and Cython tools. You don't need to be familiar with the Python language as we start with a Python primer. You'll get ready to install, create packages, and run them on the command line. Throughout the journey, we'll highlight the major aspects of managing your Python development environment, show you how to handle parallel computation, and help you to master asynchronous I/O with Python 3.6 to improve the performance of your system. Finally, you'll learn the secrets of metaprogramming and unit testing in Python-arming you with the perfect skillset to be a Python expert. This course will get you up to speed in everything from basic programming practices to high-end tools and techniques, things that will help you set apart as a successful Python programmer.

What you will learn

• Get to grips with the basics of operating in a Python development environment
• Build Python packages to efficiently create reusable code
• Become proficient at creating tools and utility programs in Python
• Use the Git version control system to protect your development environment from unwanted changes
• Harness the power of Python to automate other software
• Distribute computation tasks across multiple processors
• Handle high I/O loads with asynchronous I/O to get a smoother performance
• Take advantage of Python's metaprogramming and programmable syntax features
• Get acquainted with the concepts behind reactive programming and RxPy