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Updating README to add Python "projects" section and related resources #1

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14 changes: 10 additions & 4 deletions README.md
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Expand Up @@ -21,9 +21,15 @@ a list of python resources

* [PEP 8 -- Style Guide for Python Code](https://www.python.org/dev/peps/pep-0008/)
* [Raymond Hettinger - Beyond PEP 8 -- Best practices for beautiful intelligible code - PyCon 2015](https://youtu.be/wf-BqAjZb8M)
* [Python development workflow](https://stackoverflow.com/questions/19876993/python-module-import-relative-paths-issue/19877478#19877478)
* [Python development workflow](https://stackoverflow.com/questions/19876993/python-module-import-relative-paths-issue/19877478#19877478)
* [Coding habits for data scientists](https://www.thoughtworks.com/insights/blog/coding-habits-data-scientists)

## projects

* [DevProjects - Real-world curated Python projects](https://www.codementor.io/projects/python)
* [Top 45 Python project ideas for beginners](https://intellipaat.com/blog/python-project-ideas-for-beginners/)
* [Real-time projects for Python](https://data-flair.training/blogs/python-project-ideas/)

## testing

+ [Ned Batchelder - Getting startend testing - PyCon 2014](https://youtu.be/FxSsnHeWQBY)
Expand All @@ -32,17 +38,17 @@ a list of python resources

* [The Hitchhiker's Guide to Python - Structuring your project](https://docs.python-guide.org/writing/structure/)
+ [Ionel Cristian Mărieș - Packaging a python library](https://blog.ionelmc.ro/2014/05/25/python-packaging/#the-structure)
+ [Anton Zhiyanov - How to make an awesome Python package in 2021](https://antonz.org/python-packaging/)
+ [Anton Zhiyanov - How to make an awesome Python package in 2021](https://antonz.org/python-packaging/)

## data science

* [Pyhton data science handbook - Jake Vanderplas](https://jakevdp.github.io/PythonDataScienceHandbook/)
* [How to Rank 10% in Your First Kaggle Competition](https://dnc1994.com/2016/05/rank-10-percent-in-first-kaggle-competition-en/)
* [Python data visualisations tutorial - Ben Hammer](https://www.kaggle.com/benhamner/python-data-visualizations)
* [Python data visualisations tutorial - Ben Hammer](https://www.kaggle.com/benhamner/python-data-visualizations)
* [Towards pandas 1.0 - Marc Garcia](https://youtu.be/hK6o_TDXXN8)

## numpy
* [A Visual Intro to NumPy and Data Representation -
* [A Visual Intro to NumPy and Data Representation -
Jay Alammar](https://jalammar.github.io/visual-numpy/)

## optimization
Expand Down