[Packtpub] Mastering Python

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Added on June 20, 2015 by mozganin Other > Tutorials
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[Packtpub] Mastering Python (Size: 243.93 MB)
 Mastering_Python.png119.36 KB
 01.The Course Overview.flv6.5 MB
 04.Installing Packages with pip.flv5.25 MB
 05.Finding Packages in the Python Package Index.flv5.07 MB
 03.Using the Command Line and the Interactive Shell.flv4.24 MB
 02.Downloading and Installing Python.flv4.05 MB
 07.Adding Modules to the Package.flv5.49 MB
 08.Importing One of the Package's Modules from Another.flv5.36 MB
 06.Creating an Empty Package.flv4.71 MB
 09.Adding Data Files to the Package.flv2.75 MB
 13.Getting the Most Out of docstrings Part 1 – PEP 257 and Sphinx.flv9.73 MB
 10.PEP 8 and Writing Readable Code.flv8.47 MB
 11.Using Version Control.flv6.53 MB
 12.Using venv to Create a Stable and Isolated Work Area.flv4.3 MB
 14.Getting the Most Out of docstrings Part 2 – doctest.flv3.24 MB
 15.Making a Package Executable via python – m.flv13.4 MB
 16.Handling Command-line Arguments with argparse.flv6.64 MB
 18.Executing Other Programs.flv6.57 MB
 17.Text-mode Interactivity.flv4.96 MB
 19.Using Shell Scripts or Batch Files to Launch Programs.flv2.3 MB
 21.Using Multiprocessing.flv11.12 MB
 20.Using concurrent.futures.flv7.41 MB
 24.Futures.flv8.3 MB
 26.Communicating across the Network.flv7.85 MB
 22.Understanding Why Asynchronous I:O Isn't Like Parallel Processing.flv7.52 MB
 25.Making Asynchronous Tasks Interoperate.flv7.29 MB
 23.Using the asyncio Event Loop and Coroutine Scheduler.flv6.56 MB
 30.Using Metaclasses.flv8.24 MB
 28.Using Function Annotations.flv7.51 MB
 31.Using Context Managers.flv7 MB
 32.Using Descriptors.flv6.99 MB
 29.Using Class Decorators.flv6.78 MB
 27.Using Function Decorators.flv5.22 MB
 34.Using unittest.flv9.75 MB
 35.Using unittest.mock.flv9.25 MB
 37.Using Nose for Unified Test Discovery and Reporting.flv6.36 MB
 36.Using unittest's Test Discovery.flv5.98 MB
 33.Understanding the Principles of Unit Testing.flv5.1 MB

Description



Mastering Python [Video]

Get to grips with Python best practices and advanced tools to design, distribute, and test your programs.

In Detail

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.

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243.93 MB
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[Packtpub] Mastering Python