A short list of Data Science resources #5

#python #datascience

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!

Top comments (0)

An Animated Guide to Node.js Event Loop

Node.js doesn’t stop from running other operations because of Libuv, a C++ library responsible for the event loop and asynchronously handling tasks such as network requests, DNS resolution, file system operations, data encryption, etc.

What happens under the hood when Node.js works on tasks such as database queries? We will explore it by following this piece of code step by step.