Python Advance | Chapter 11: Packaging, Distribution, and Virtual Environments by Prakhar Chauhan | Learn Smarter
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Chapter 11: Packaging, Distribution, and Virtual Environments

This chapter covers essential skills for packaging and distributing Python code, enabling code to be reusable and maintainable. Key processes include structuring Python code, managing dependencies, creating isolated environments, and publishing packages to the Python Package Index. Mastery of tools like setuptools and twine ensures efficient workflows in professional Python development.

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Sections

  • 1

    Creating Python Packages And Modules

    This section explains how to organize Python code into packages and modules, emphasizing the importance of structure for code reusability.

    Learning Practice

  • 1.1

    Modules Vs Packages

    Modules are single .py files containing Python code, while packages are directories with an __init__.py file that indicates they are packages.

    Learning Practice

  • 1.2

    Project Structure

    This section details how to structure Python projects using packages and modules, highlighting the essential components for proper organization.

    Learning Practice

  • 1.3

    __init__.py

    The __init__.py file is essential for organizing Python packages, defining package structure and behavior.

    Learning Practice

  • 2

    Managing Dependencies With Pip And Requirements.txt

    This section outlines how to use pip for package installation and manage dependencies via a requirements.txt file.

    Learning Practice

  • 2.1

    Installing Packages

    This section discusses the process of installing packages in Python using pip and managing dependencies through requirements files.

    Learning Practice

  • 2.2

    Requirements.txt

    This section covers how to manage dependencies in Python projects using requirements.txt and pip.

    Learning Practice

  • 2.3

    Freezing Dependencies

    Freezing dependencies allows developers to capture the current state of installed packages for consistent development environments.

    Learning Practice

  • 3

    Virtual Environments With Venv And Virtualenv

    This section discusses the importance of virtual environments in Python development for managing project dependencies effectively using 'venv' and 'virtualenv'.

    Learning Practice

  • 3.1

    Why Use Virtual Environments?

    Virtual environments are essential for isolating project dependencies and preventing conflicts between packages used in different projects.

    Learning Practice

  • 3.2

    Using Venv (Standard Library)

    This section covers the use of virtual environments using Python's venv module to manage project dependencies effectively.

    Learning Practice

  • 3.3

    Using Virtualenv (External Tool)

    This section discusses how to use virtualenv to create isolated Python environments for better management of project dependencies.

    Learning Practice

  • 4

    Publishing Packages To Pypi

    This section describes the process of publishing Python packages to the Python Package Index (PyPI) using tools like `setuptools` and `twine`.

    Learning Practice

  • 4.1

    Setup Configuration: Setup.py

    The section covers the essential elements of the setup.py file for configuring Python package installations.

    Learning Practice

  • 4.2

    Required Files

    This section details the necessary files for creating and publishing Python packages.

    Learning Practice

  • 4.3

    Build The Package

    This section focuses on the essential steps involved in packaging Python code for distribution, including how to build and publish packages using tools like setuptools and twine.

    Learning Practice

  • 5

    Using Tools Like Setuptools And Twine

    This section introduces the use of setuptools and twine for Python package management and distribution.

    Learning Practice

  • 5.1

    Setuptools

    Setuptools simplifies the packaging of Python projects, allowing for auto-discovery of modules and dependencies.

    Learning Practice

  • 5.2

    Uploading With Twine

    This section outlines the process of uploading Python packages to the Python Package Index (PyPI) using Twine.

    Learning Practice

  • 5.3

    Best Practices For Packaging

    This section outlines essential practices for effectively packaging Python software to ensure it is maintainable, shareable, and professional.

    Learning Practice

  • 6

    Summary

    This section summarizes the essential components of packaging and distributing Python software.

    Learning Practice

References

Untitled document (22).pdf

Class Notes

Memorization

What we have learnt

  • How to structure Python mod...
  • Methods for managing depend...
  • Strategies for creating and...

Final Test

Revision Tests