Also this week I decided to gather some interesting resources, related to data science and Python, that I found in the last days. I hope that can be useful for someone else.

-"The 100 pages machine learning book", by Andriy Burkov, as the name itself says, collapses the basis of machine learning in just one hundred pages
http://themlbook.com/wiki/doku.php

• Neuron is a Visual Studio Code extension that aims to bring the visualization abilities of Jupyter Notebooks to VS Code that https://blogs.msdn.microsoft.com/uk_faculty_connection/2018/10/29/data-science-in-visual-studio-code-using-neuron-a-new-vs-code-extension/
• A nice intro on how to handle json data in Python https://realpython.com/python-json/
• Implement a basic neural network with Python to grasp better the theory behind https://towardsdatascience.com/how-to-build-your-own-neural-network-from-scratch-in-python-68998a08e4f6
• Three hint to build better data science presentations https://towardsdatascience.com/effective-data-science-presentations-caab621abc66

If you have any feedback or cool resources, please share them in the comments!