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Abstract

ating dependencies with virtual environments. This module covers creating, activating, and installing packages into virtual environments, as well as switching between virtual environments and destroying them.</p><h2 id="d20a">Module 4 — Finding Quality Python Packages</h2><p id="6d8d">In this module, we’ll learn how to find and select quality Python packages. This includes understanding how third-party packages can help, finding popular packages on curated lists, and selecting quality packages for Python projects.</p><h2 id="456d">Module 5 — Setting Up Reproducible Environments & Application Deploys</h2><p id="4876">The focus of this module is on setting up reproducible environments and application deploys using requirements files. Topics include capturing and restoring dependencies, separating development and production dependencies, and best practices for requirements files.</p><h2 id="cea4">Module 6 — Course Conclusion and Recap</h2><p id="f2a6">The final module provides a conclusion and recap of the course content, wrapping up the key takeaways.</p><h2 id="b17c">Bonus Content</h2><p id="2294">Additional resources such as presentation slides, course transcripts, and an audio-only version of the course are provided as bonus content.</p><p id="455a">This course offers 37 lessons, video subtitles and full transcripts, as well as downloadable resources including a course audio (MP3), course transcripts,

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a course workbook (PDF), and presentation slides for each module. Participants also have the opportunity to engage in a Q&A with Python experts and receive a certificate of completion upon finishing the course.</p><p id="3686">The course is designed to help Python developers master the essential skills for effectively managing Python dependencies. By the end of the course, participants will be equipped to manage third-party Python packages, isolate project dependencies, find and select quality Python packages, and set up reproducible environments and application deploys.</p><p id="ca9b">If you’re a Python developer looking to enhance your skills in managing Python dependencies, this course is for you. It will equip you with the knowledge and tools needed to navigate dependency management effectively in your Python projects.</p><div id="7f24" class="link-block"> <a href="https://readmedium.com/absolute-vs-relative-imports-in-python-5ff011a65c14"> <div> <div> <h2>Absolute vs Relative Imports in Python</h2> <div><h3>undefined</h3></div> <div><p>undefined</p></div> </div> <div> <div style="background-image: url(https://miro.readmedium.com/v2/resize:fit:320/1*4kSdlOKEQqdYroo_Bdg_dA.jpeg)"></div> </div> </div> </a> </div></article></body>

Managing Python Dependencies

Managing dependencies is an essential part of Python development. In this tutorial, we’ll explore the best practices and tools for managing Python dependencies effectively. This will include using tools like pip, virtual environments, and requirements files.

Course Overview

This course consists of 37 lessons and covers various aspects of managing Python dependencies. It’s aimed at Python developers who want to enhance their skills in managing dependencies and leveraging Python’s rich library ecosystem.

Module 1 — Welcome & Course Overview

In this module, we will get an introduction to the course and learn about the learning progress workbook. This module serves as a starting point for the course.

Module 2 — Managing Third-Party Dependencies With Pip

This module covers the basics of managing third-party dependencies using pip, the Python package manager. Topics include installing, updating, and uninstalling packages, as well as exploring Python package repositories.

Module 3 — Isolating Dependencies With Virtual Environments

Here, we’ll delve into isolating dependencies with virtual environments. This module covers creating, activating, and installing packages into virtual environments, as well as switching between virtual environments and destroying them.

Module 4 — Finding Quality Python Packages

In this module, we’ll learn how to find and select quality Python packages. This includes understanding how third-party packages can help, finding popular packages on curated lists, and selecting quality packages for Python projects.

Module 5 — Setting Up Reproducible Environments & Application Deploys

The focus of this module is on setting up reproducible environments and application deploys using requirements files. Topics include capturing and restoring dependencies, separating development and production dependencies, and best practices for requirements files.

Module 6 — Course Conclusion and Recap

The final module provides a conclusion and recap of the course content, wrapping up the key takeaways.

Bonus Content

Additional resources such as presentation slides, course transcripts, and an audio-only version of the course are provided as bonus content.

This course offers 37 lessons, video subtitles and full transcripts, as well as downloadable resources including a course audio (MP3), course transcripts, a course workbook (PDF), and presentation slides for each module. Participants also have the opportunity to engage in a Q&A with Python experts and receive a certificate of completion upon finishing the course.

The course is designed to help Python developers master the essential skills for effectively managing Python dependencies. By the end of the course, participants will be equipped to manage third-party Python packages, isolate project dependencies, find and select quality Python packages, and set up reproducible environments and application deploys.

If you’re a Python developer looking to enhance your skills in managing Python dependencies, this course is for you. It will equip you with the knowledge and tools needed to navigate dependency management effectively in your Python projects.

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Managing
Dependencies
Python
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