Last week I started to contribute to dev.to writing a post about some useful resources on which I stumbled upon in my daily job as a data scientist. I decided to repeat the "experiment", gathering some other tools and articles that I found in the last seven days, hoping that can be of interest also for somebody else:

• The Data Viz Project offers all the possible graphs you can think of, with a detailed description and a bunch of examples https://datavizproject.com

• In Python tuple unpacking makes code more readable, for instance avoiding hard coded indexes. Despite the name it works with any iterable. For a nice introduction: https://treyhunner.com/2018/03/tuple-unpacking-improves-python-code-readability/

• Sometimes it's cool to have a basic GUI in top of your command line program in Python without spending hours doing it. Check out the Gooey package https://github.com/chriskiehl/Gooey

• DeepL Translator uses convolutional neural networks built on the Linguee database to give high quality translation https://www.deepl.com/en/translator

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