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    Back to Select Topics in Python: Packaging

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

    Filled StarFilled StarFilled StarFilled StarHalf Faded Star
    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 u...
    ...

    Top reviews

    DK

    Oct 6, 2023

    Filled StarFilled StarFilled StarFilled StarFilled Star

    One of the best courses, but you won't be able to get a certificate because SW setup is outdated

    AS

    Dec 22, 2022

    Filled StarFilled StarFilled StarFilled StarFilled Star

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

    Filter by:

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

    Filled StarFilled StarFilled StarFilled StarFilled Star

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    One of the best courses, but you won't be able to get a certificate because SW setup is outdated

    Filled StarFilled StarFilled StarFilled StarFilled Star

    By aman s

    •

    Dec 22, 2022

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

    Filled StarFilled StarFilled StarFilled StarFilled Star

    By Mohamed E

    •

    Jan 23, 2023

    I like and recommend

    Filled StarFilled StarFilled StarStarStar

    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 All the Lab environments except conda are outdated and have not seen an update since thet where probably installed.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.

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