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Learner Reviews & Feedback for Select Topics in Python: Packaging by Codio

4.6
stars
10 ratings

About the Course

Code and run Django websites without installing anything! This course is designed for learners who some experience with Python. The modules in this course cover modules and packages, third-party packages, and packing for distribution. To allow for a truly hands-on, self-paced learning experience, this course is video-free. Assignments contain short explanations with images and runnable code examples with suggested edits to explore code examples further, building a deeper understanding by doing. You’ll benefit from instant feedback from a variety of assessment items along the way, gently progressing from quick understanding checks (multiple choice, fill in the blank, and un-scrambling code blocks) to slowly building features, resulting in large coding projects at the end of the course. Course Learning Objectives: Use pip to venv to manage virtual environments and packages Use third-party package managers to manage virtual environments and packages Package Python scripts and applications for a wider audience...

Top reviews

DK

Oct 5, 2023

One of the best courses, but you won't be able to get a certificate because SW setup is outdated

AS

Dec 21, 2022

great and thorough introduction to Different Packages for Python and also Docker.

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1 - 4 of 4 Reviews for Select Topics in Python: Packaging

By Dmytro K

•

Oct 6, 2023

One of the best courses, but you won't be able to get a certificate because SW setup is outdated

By aman s

•

Dec 21, 2022

great and thorough introduction to Different Packages for Python and also Docker.

By Mohamed E

•

Jan 23, 2023

I like and recommend

By Imre T

•

Feb 8, 2025

Many of the course Labs are so out-dated that it needs the full new installation to even execute the commands in a way that the output would be expected. The python3 version used in pip in the first section is 3.6 while even python 3.7 has no official support anymore. All the Lab environments except conda are outdated and have not seen an update since thet where probably installed. The Heroku doesn't even support the login with api keys, etc the version that it is installed. The course content is good and it would be a great course if someone actually cared to take care of the Lab environment updates and not sell such course which has incompatibilities in its used environments.