pyroad
intro-to-python
| pyroad | intro-to-python | |
|---|---|---|
| 2 | 1 | |
| 305 | 871 | |
| - | - | |
| 2.5 | 0.0 | |
| about 1 year ago | over 3 years ago | |
| Jupyter Notebook | Jupyter Notebook | |
| GNU General Public License v3.0 or later | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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pyroad
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Is there anything similar to the Odin Project for Python?
There is a post from yesterday with a great roadmap. I saved the link, but not a post >_< https://github.com/amaargiru/pyroad
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Detailed Python developer roadmap
This article definitely contains mistakes and inaccuracies of different calibers, and of course, many required subsections are missing; so, if you notice any of these, feel free to comment, and if you feel the Force, you're welcome to fork the GitHub repository with the roadmap's source code and contribute whatever you feel is necessary; all corrections and additions are strongly encouraged. It also contains all the parts of the map in Mermaid diagram format, as well as png/svg illustrations.
intro-to-python
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Show HN: Intro to Python and Programming for non-CS majors (revisited)
Hi there,
I am the author of this Show HN post: https://news.ycombinator.com/item?id=22669084
Back then, I released the materials for my Intro to Python course "to the world". GitHub repo: https://github.com/webartifex/intro-to-python
I incorporated many of the constructive criticism and am currently recording a video lecture series on YouTube: https://www.youtube.com/playlist?list=PL-2JV1G3J10kRUPgP7EwLhyeN5lOZW2kH
I guess that a lot of people without a CS background would find these resources valuable and am open for further feedback.
If you have any "non-tech" friends who want to learn to code, please feel free to direct them to my course.
Stay healthy everybody!
What are some alternatives?
py4e - Web site for www.py4e.com and source to the Python 3.0 textbook
imodels - Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
ipp - An intro to Python & programming for wanna-be data scientists [Moved to: https://github.com/webartifex/intro-to-python]
python-training - Python training for business analysts and traders
z3_tutorial - Jupyter notebooks for tutorial on the Z3 SMT solver
feature-engineering-tutorials - Data Science Feature Engineering and Selection Tutorials
JustEnoughScalaForSpark - A tutorial on the most important features and idioms of Scala that you need to use Spark's Scala APIs.
examples - Datapane Examples
ML-Workspace - 🛠 All-in-one web-based IDE specialized for machine learning and data science.
fastpages - An easy to use blogging platform, with enhanced support for Jupyter Notebooks.