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

• A curated glossary of machine learning terms https://semanti.ca/blog/?glossary-of-machine-learning-terms
• On the importance of starting from a baseline model in data science https://blog.insightdatascience.com/always-start-with-a-stupid-model-no-exceptions-3a22314b9aaa
• An excellent introduction to Python decorators: https://realpython.com/primer-on-python-decorators/
• Some Python handy tricks (not all of them aim of increasing your productivity) https://medium.freecodecamp.org/an-a-z-of-useful-python-tricks-b467524ee747

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