#pandas
10 posts
Today I talked about working with missing data at PyCon IL . We started with a bit of theory about mechanisms of missing data - MCAR - The fact that the data are missing is…
Missing data is prevalent in real-world data and can be missing for various reasons. Gladly, both pandas and scikit-learn several imputation tools to deal with it. Pandas offers a…
Last week I gave an extended version of my talk about box plots in Noa Cohen 's Introduction to Data Science class at Azrieli College of Engineering Jerusalem. Slides can be found…
How to communicate effectively as a developer . - writing effectively is the second most important skill after reading effectively and one of the skills that can differentiate you…
I recently run into a team lead question regarding how to grow a backend Python Developer in her team. Since I also iterated around this topic with my team I already had few ideas…
I read Domino Lab post about " Data Exploration with Pandas Profiler and D-Tale" where they load diagnostic mammograms used in the diagnostic of breast cancer from UCI website.…
- 5 tips for using Pandas·2 min
Recently, I worked closely with Pandas and found out a few things that are might common knowledge but were new to me and helped me write more efficient code in less time. 1. Don't…
How to set compensation using commonsense principles - yet another artwork by Erik Bernhardsson. I like his analytics approach and the way he models his ideas. His manifest…
Bonus - R-miss-tastic - theoretical background and resources which relate to R missing values package. I recommend the lecture notes. https://rmisstastic.netlify.com/lectures/…
“ NetworkX is a Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks.” NetworkX lets the user create a graph and…