I've still been working on Unicorn, but it's been a while since there was a new release. But, there are lots of fixes in 0.51.1 to make building interactive Django websites even more magical! ✨
I've updated my #Python sample application to use "ruff" instead of "flake8" and friends. There is so much confusion on how to structure and install a Python program, but fortunately the community is moving in the right direction at a nice page.
「 Now, before you go out and write your next project in Lisp, you should keep something in mind. Lisp is not the fastest or smallest language out there, it was not designed to be so. There are some pretty good implementations of Lisp out in the wild, but don’t expect them to outperform C, Go, Lua, or even Python most of the time 」
via brycevandegrift.xyz
Standford Engineering released today a seminar about Transformers 🚀. The seminar - CS25, is run by Div Garg, Steven Feng, and Rylan Schaeffer and focuses on the following topics:
✅ How transformers work
✅ Types of transformers
✅ Applications of transformers in the fields of ML, NLP, CV, biology, etc.
Day 77 of #100DaysOfCode - CS50 Python by HarvardX is really well done. Professor Malan is enthusiastic, clear, and sets a brisk pace. The remotely-hosted VS Code editor - first-time I've used it - and personal #Ubuntu VM is nifty. And its free to use! I already have the #Python basics covered, but later sessions on unit testing and object-oriented programming are of interest to me: https://www.edx.org/course/cs50s-introduction-to-programming-with-python
How could I miss out on #VisiData for so long? This might become my new favorite #CLI tool.
If you do anything with data and enjoy working in the terminal, check it out. It can
• provide a #TUI for viewing and editing data in #CSV, #Excel, #SQLite, #JSON, #YAML & #XML files and quite a few more
• sort, filter, join and edit that data, across files and across formats
• convert between the formats (interactively or not)
• record & play macros
• be scripted in #Python
This week, Week 9 of our Data Citizen Bootcamp at Cambridge Spark, was a gentle intro to Python for Data Analysis, including an intro to the Pan
I found a very nice article called "A Beginner’s Guide to Data Analysis in Python" written by Natassha Selvaraj. It is a very well-written article with plenty of examples to follow through. Most definitely worth a read.
Enjoy! 😉
I've been here since mid-November 2022, when Twitter went from intolerably bad to ludicrously worse. So I guess I'll be here a while. Ran out of room in the bio, and running out of chars in this post; and I don't want to make a thread -- so here are hashtags I read, and may boost:
After having thought about the idea of creating a #Python group in my hometown #Pescara, the first #PyBeer meeting of the @pythonpescara group will finally take place tonight 🍻
I hope everything will be fine and there will be many more meetings in the future 👥
Hey, so #Netflix is hiring for our #Python Platform team. This is an awesome opportunity to help build out the Python ecosystem here and work on some really cool stuff.
My PMs are open so hit me up with referrals and/or crypto spam.
I'm over the moon that the #Python helper function I write more than any other, chunks, is coming to the stdlib in 3.12 as itertools.batched(iterable, n)! It takes a long iterable and yields chucks (or batches) of length n.
I think I've pasted the same Stackoverflow snippet into... 10 projects at this point? So this is huge for me.