5 interesting things (23/09/2019)

All the best engineering advice I stole from non-technical people - the length of this post could definitely be cut into half. However, I find the idea that useful, meaningful advice and insights can pop around and you just need to listen importantly. There is something to learn from everyone, and we just need to be willing to do that.

https://medium.com/@bellmar/all-the-best-engineering-advice-i-stole-from-non-technical-people-eb7f90ca2f5f

The Ultimate Guide to Acing Your First Coding Interview - looking for a job and especially your first job as a junior developer is a hard job. Read Dana's tips here -

(full disclosure - I know Dana and helped to edit the post a bit)

https://medium.com/@dana.blanc/the-ultimate-guide-to-acing-your-first-coding-interview-5cd78748ca6d

Python Libraries for Interpretable Machine Learning - Interpretability in machine learning becomes an important topic lately. While I have my doubts about it and what interpretability really is, this post presents the main Python packages for interpretability -

https://towardsdatascience.com/python-libraries-for-interpretable-machine-learning-c476a08ed2c7

Bonus point - missing package SHAP(SHapley Additive exPlanations) - https://github.com/slundberg/shap

Document Embedding techniques - (another) excellent post by Shay Palachy which reviews the main and prominent approaches regarding document embedding including many references to the relevant literature.

https://towardsdatascience.com/document-embedding-techniques-fed3e7a6a25d

Style Pandas Dataframe Like a Master - while I always knew I can do better with my styling I didn't know how far I can take it. Check this post for a quick ramp-up on the topic.

https://towardsdatascience.com/style-pandas-dataframe-like-a-master-6b02bf6468b0