2015
Packt Publishing
Daniel Arbuckle
2:55
English
Python is one of the most powerful, flexible, and popular programming languages in the world. Even though Python programs are simple to work with, writing code that is efficient, maintainable, and reusable can be a little tricky for some. The presence of Python's “batteries included” toolbox allows you to easily produce application prototypes or implement new algorithms with minimum efforts.
This course takes you on a journey from the basics of operating in a Python development environment through to advanced topics and master-level techniques. It presents you with a guide to Python and its standard library, focusing on language and library elements that are particularly useful for tool authors and system programmers.
We start off with the basics to set up a functioning environment, creating packages, and running them on the command line. Through our journey, we'll highlight the major aspects of managing our Python development environment, handling parallel computation, and mastering asynchronous I/O for improved performance of our system. Finally, we'll learn the secrets of metaprogramming and unit testing in Python arming you with the perfect skillset to be a Python expert.
Mastering Python will get you up to speed in everything from basic programming practices to high-end tools and techniques that will help you set apart as a successful Python programmer.
Setting Up the Work Environment
The Course Overview
Downloading and Installing Python
Using the Command Line and the Interactive Shell
Installing Packages with pip
Finding Packages in the Python Package Index
Creating a Package
Creating an Empty Package
Adding Modules to the Package
Importing One of the Package's Modules from Another
Adding Data Files to the Package
Basic Best Practices
PEP 8 and Writing Readable Code
Using Version Control
Using venv to Create a Stable and Isolated Work Area
Getting the Most Out of docstrings Part 1 – PEP 257 and Sphinx
Getting the Most Out of docstrings Part 2 – doctest
Creating a Command-line Utility
Making a Package Executable via python – m
Handling Command-line Arguments with argparse
Text-mode Interactivity
Executing Other Programs
Using Shell Scripts or Batch Files to Launch Programs
Parallel Processing
Using concurrent.futures
Using Multiprocessing
Coroutines and Asynchronous I/O
Understanding Why Asynchronous I/O Isn't Like Parallel Processing
Using the asyncio Event Loop and Coroutine Scheduler
Futures
Making Asynchronous Tasks Interoperate
Communicating across the Network
Metaprogramming
Using Function Decorators
Using Function Annotations
Using Class Decorators
Using Metaclasses
Using Context Managers
Using Descriptors
Unit Testing
Understanding the Principles of Unit Testing
Using unittest
Using unittest.mock
Using unittest's Test Discovery
Using Nose for Unified Test Discovery and Reportin
Download File Size:293.21 MB
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