This is the code repository for Daniel Arbuckle’s Mastering Python, published by Packt. It contains all the supporting project files necessary to work through the book from start to finish.

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.

All of the code is organized into folders. Each folder starts with a number followed by the application name. For example, Chapter02.

The code will look like the following:

def example_function(name, radius):
  area = math.pi * radius ** 2
  return "The area of {} is {}" .format(name, area)

You will need Ubuntu 16.04 and Python (version 3.6). You can also run the code examples on Windows and macOS. You may opt to use VirtualBox as well to test the code in the book.

• Mastering Python Networking

• Mastering Python Forensics

• Mastering Python

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