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Programming in python: updated a few sub-sections with link on Pandas…
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…, Numpy and other python related stuff
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neomatrix369 committed Apr 12, 2020
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## Intermediate / Advanced Python

- [Numpy *****QUICK REFERENCE*****](https://www.linkedin.com/posts/asif-bhat_numpy-cheat-sheet-activity-6633320071966089217-bu96)
- [Python to Numpy](https://www.labri.fr/perso/nrougier/from-python-to-numpy/)
- [100 Exercises ✅ Numpy ✅](https://www.linkedin.com/posts/asif-bhat_100-numpy-exercises-activity-6633319536751939584-hvfu)
- [Scientific Python](https://github.com/Imperial-College-Data-Science-Society/Lecture-2-Scientific-Python)
- [Neural Networks Matrices exploration - Under the Hood Mathematical Operations](https://github.com/souravs17031999/NeuralNets-Pure-Python)
- [Understand the use of *args and **kwargs](https://morioh.com/p/252b73e0be0a?f=5c21f93bc16e2556b555ab2f&fbclid=IwAR2P_D8kr9Gf2gCjd2pf57ugkuv0qBfG0JEuAijGgl3JE2o_N1_MVk7u8CM)
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- [Explanation of most popular Data Science Library (in Python)](https://www.linkedin.com/posts/nabihbawazir_artificialintellegence-datascience-machinelearning-activity-6617700382200164352-RDhs)
- [50 most popular Python libraries and frameworks used in data science](https://www.linkedin.com/posts/nabihbawazir_python-datascience-dataanalysis-activity-6604589510447722496-AvyE)
- [Python for 9 Purposes: The graphics miss Scikit-Learn and of course "Pandas"](https://www.linkedin.com/posts/nabihbawazir_python-for-9-purposesthe-graphics-miss-scikit-learn-activity-6605860742774259712-Was0)
- [Free python tools](https://www.linkedin.com/posts/nabihbawazir_datascience-machinelearning-artificialintelligence-activity-6627149341998051328-oqZr)
- [Tips N Tricks: 3 Simple and Easy Ways to Cache Functions in Python](https://www.youtube.com/watch?v=H_FDL0oRAWE)
- [A simple video that explains in a very simple way how you can use joblib to speed up almost any function](https://www.youtube.com/watch?v=Ny3O4VpACkc)

## Best practices

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