View this content as hosted on Python Like You Mean It
NOTE: This content is not meant for public release. If you are reading this, then I have added you as a contributor to this project. Please do not distribute this work to others.
- Essentials of Python, for Data Science Applications
- How To Contribute
- Text Contents (Subject to Change)
This repository contains the source material for the website Python Like You Mean It. It is not yet at 1.0 (stable public release). See the issues section to find tasks that need doing. Please share this website with others, but not this source material. This is a private repo, and I have added people in good faith that they will not distribute the source material.
Contributions to this project are very welcome! I will be sure to credit any/all contributions (unless your want to remain anonymous). Some great ways to help out are to:
- proofread (via Pull Request)
- write reading comprehension exercises (create a new issue)
- provide general feedback (create a new issue)
- "dummy test" assignments (create a new issue)
I have posted a number of "To-Do" tasks in this project's issues page, and I will be adding to these as this project progresses. Included are requests for proofreading and exercises. Please post within an issue if you are working on a to-do item, so multiple people don't end up working on the same task. General feedback on content is also hugely valuable, so feel free to open a new issue to provide your feedback on any of the material.
Here is a nice Markdown "cheat sheet" for looking up how to make tables, code-blocks, etc., in Markdown.
If you want to submit a change to some of the content (e.g. correcting typos), do the following:
- Clone this repository
- Create a new branch, appropriately named for whatever task you are performing:
git checkout -b your_branch_name
- Check out your new branch and commit any changes you make to it
- Push your branch:
git push origin your_branch_name
(you should have permission to do this, if you are added as a "contributor" to this project) - Create a Pull Request) from your branch into the master branch.