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)

Summary

In the earlier sections of this chapter, we learned about coroutines, data exchange between coroutine tasks, and asynchronization. We had a look at using a future to wait for a single value or an asynchronous iterator, which may well use futures internally to wait for a sequence of values. We also looked at tools that we can use to transmit data to and from asynchronous coroutine tasks and force synchronization on them when necessary.

Now we've seen how to get a payoff from coroutines and asynchronization using these tools to write a network client or server. In the next chapter, we'll look at various parts of Python that can be redefined within our program source code and how to use them.