| | Python 3.12 Preview: More Intuitive and Consistent F-Strings In this tutorial, you’ll preview one of the upcoming features of Python 3.12, which introduces a new f-string syntax formalization and implementation. The new implementation lifts some restrictions and limitations that affect f-string literals in Python versions lower than 3.12. REAL PYTHON
Python: Profile a Section of Code With cProfile “When trying to improve a slow function or module, it’s always a good idea to profile it. Here’s a snippet for quickly profiling a section of code with Python’s cProfile module.” ADAM JOHNSON
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Python Quirks A straight-out list of code snippets showing off some of the weird and unexpected behavior of your favorite language. NATHAN
Steering Council Announces Optional GIL PYTHON.ORG
Articles & Tutorials Getting Started With Vector DBs in Python Vector databases are all the rage today, with LLMs driving their popularity. This article breaks down nine different choices in details including how you connect to them in Python. It even points you at a few others in case you need more. DANIEL DOUBROVKINE
Socket Programming in Python Part 1: Handling Connections In this video course, you’ll learn how to build a socket server and client with Python. Along the way, you’ll get to know the main functions and methods in Python’s socket module, and you’ll implement a multi-connection server and client. REAL PYTHON course
CTF 101 Workshop | Aug 3 @ 11am EDT | Register for Free Did you know Snyk can be used to solve CTF challenges? Join Snyk’s CTF 101 Workshop to learn how, and get live support from CTF experts in the virtual hands-on lab as you solve your first challenge. Plus, (ISC)2 members will get 1 credit. Save your spot → SNYK.IOsponsor
Leveraging Your Database With Postgres and Python Are you getting the most out of your Postgres database? What features could you leverage to improve your Python project? This week on the show, Craig Kerstiens from Crunchy Data is here to discuss getting the most out of Postgres. REAL PYTHON podcast
Using Rich Inspect to Interrogate Python Objects You might know the Rich library as the terminal color tool, but it has a few utilities in it that are generally helpful in your code. This article shows you the inspect feature that gives you loads of info on an object. WILL MCGUGAN
End to End Data Applications With SQL and Jupyter This comprehensive course gives you a step-by-step introduction to building data applications using Python, SQL, and Jupyter notebooks. It even includes an introduction to visualization using plotly and others. PLOOMBER
Flood Fill Mazes This article shows you how to generate mazes using jupyter notebooks, numpy, matplotlib, and the scikit-image flood_fill function. It shows both a traditional square-cornered maze as well as a bendy labyrinth. IAN WARD
Text Editor Data Structures This article details the different ways a text editor represents text in memory and the advantages of each. Unfortunately, the examples aren’t in Python, but there is plenty CS stuff to dig into here. CAMERON DACAMARA
Software Design by Example This is CS 101 in a web friendly format. It covers the basic concepts of software design using examples, with a focus on self taught data scientists who want to bring their coding to the next level. THIRD-BIT.COM
A Practical Use for &= Can you already picture real use cases for this little Pythonic gem? Learn about the bitwise-and-equal operator and where it can be used. PETE FISON • Shared by Pete Fison
EuroPython 2023 Python’s Developer in Residence has starting blogging again and this week he sums up his experience at EuroPython 2023. ŁUKASZ LANGA
Working With AJAX in Django This article looks at how to perform GET, POST, PUT, and DELETE AJAX requests in Django with the Fetch API and jQuery. YACINE ROUIZI • Shared by Yacine Rouizi
Running Untrusted Python Code Andrew wanted to play with some untrusted Python. Read how he used seccomp and setrlimit to build a Python sandbox. ANDREW HEALEY
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