In a few months I’ll have to leave my rented apartment and look for a new one. As painful as this experience can be, especially as a real…

Discussions:
Hacker News (195 points, 51 comments), Reddit r/Python (140 points, 18 comments)


If you’re planning to learn data analysis, machine learning, or data science tools in python, you’re most likely going to be using the wonderful pandas library.…

experience from IT and software development @d-e.gr

This is perhaps insanely obvious but it was a measurement I had to do and it might help you too if you use python-jsonschema a lot too.

In this post you will learn three data manipulation techniques with Pandas; modyfing using inplace, grouping using groupby, and handling missing data.

According to the “Developer survey 2018” of StackOverflow, a majority of developers consider themselves “full-stack developers”, an…

How to customise the Celery task logger

Welcome to "The Fuzzing Book"! Software has bugs, and catching bugs can involve lots of effort. This book addresses this problem by automating software testing, specifically by generating tests automatically. Recent years have seen the development of novel…

How and why to add a custom user model to all new Django projects.

A drop-in replacement for native Python datetimes that embraces UTC. - dgilland/zulu

My Python Examples. Contribute to geekcomputers/Python development by creating an account on GitHub.

Record terminal sessions as SVG animations. Contribute to nbedos/termtosvg development by creating an account on GitHub.

Atomic Simulation Environment: A Python library for working with atoms

What is pandas? Introduces pandas and looks at what it does. Hands-on introduction and to the key features of pandas. We explore pandas series, Data-frames, and creating them.

11,000+ GitHub installs. Trusted by teams at Apple, Airbnb, Spotify, NASA JPL. Review notebook PRs with rich diffs, rendered outputs, and cell-level comments.

Are your a newbie or a veteran when talking about web scraping?