CuratedHackerNews (@CuratedHackerNews@mastodon.social)
Python Type Checker Comparison: Empty Container Inference
https://pyrefly.org/blog/container-inference-comparison/
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247CodeGirl (@247CodeGirl@mastodon.social)
Season 1 Lesson 6 Part 1 - Your First Steps - Python Join - Without the Confusion #pythonprogramming #codingtutorial #dataanalysis #learncoding #pythoncode #dataengineer #python #softwaredeveloper #jupyternotebook
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zeab (@zeab@fosstodon.org)
On no. There's even more ways I'll be putting the #Erlang #beam into what I do. 😂 Basically #Python now has a new ASGI called #hornbeam.
I don't think I can ignore this amazingness. 😁
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objects (@objects@fe.disroot.org)
https://squidfunk.github.io/mkdocs-material/blog/2026/02/18/mkdocs-2.0/
I might still come back to my idea of generating documentation for #python projects with #griffe2md and #astroSsg
#programming
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vnzn (@vnzn@mas.to)
microgpt (karpathy.github.io)
https://karpathy.github.io/2026/02/12/microgpt/
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Reuven (@Reuven@fosstodon.org)
Remember that #Python has two division operators:
10 / 2 # truediv, returns float: 5.0
10 // 2 # floordiv, rounds down: 5
10 / 3 # truediv: 3.333...
10 // 3 # floordiv: 3
Note: // with floats returns a float (10.0 // 3 = 3.0)
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IllestPreacha (@IllestPreacha@post.lurk.org)
YonderVerseOfBlobs
Video: https://www.youtube.com/watch?v=PIuBFbRJ0BA
Blog: https://blog.illestpreacha.com/wcccconstruction
#CreativeCoding #Livecoding #WCCC #WCCChallenge #Worldbuilding #sounddesign #Blobs #Construction
For this week's Creative Code challenge by @sableraph : “Construction“, YonderVerseOfBlob is coded in #SonicPi, #Python , #LiveCodeLab & #HydraVideoSynth. It plays on the theme of Construction by entering a reconstructed world of blobs (LiveCodeLab & HydraVideoSynth) with their own mini conlang (constructed language) made in Python .
In the Lands, Outside of our Scope
Lies a verse that constructs outside of our tropes
With languages related to the elements
And blobs reconstructing their previous movements
The Yonderverse of blobs
May render hope,
May glitchify its pixels
But would the output be vibes that can trickle?
#glitchart #Conlang #Eliterature
#newmedia #videography#animation
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tgx_um (@tgx_um@social.edu.nl)
new paper: "pyBiodatafuse: extending interoperability of data using modular queries across biomedical resources" https://doi.org/10.1093/bioinformatics/btag064
"Additionally, the tool offers plugins for widely used platforms such as Cytoscape, Neo4j, and GraphDB, enabling local hosting of resulting property and RDF graphs. This versatility ensures that generated KGs can be efficiently utilized within diverse research workflows."
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sudonem (@sudonem@infosec.exchange)
I definitely just #nerdsniped myself.
I’ve been using #Selenium & #Python for a browser automation side project at work) because that’s what the previous guy recommended) but I screwed myself by investigating #Playwright - because it’s clear now that a full refactor using playwright instead of selenium will definitely solve some issues I’ve been having.
Craaaaap.
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Radio_Azureus (@Radio_Azureus@ioc.exchange)
Source code analysis
cpython
doc/c-api/abstract.rsc
.. highlight:: c
.. _abstract:
Abstract Objects Layer
The functions in this chapter interact with Python objects regardless of their
type, or with wide classes of object types (e.g. all numerical types, or all
sequence types). When used on object types for which they do not apply, they
will raise a Python exception.
It is not possible to use these functions on objects that are not properly
initialized, such as a list object that has been created by :c:func:PyList_New,
but whose items have not been set to some non-\ NULL value yet.
.. toctree::
object.rst
call.rst
number.rst
sequence.rst
mapping.rst
iter.rst
buffer.rst
objbuffer.rst
▸Chapter 1 — Understanding CPython Before Code
CPython is both a compiler and an interpreter. It compiles Python source code to bytecode, then executes that bytecode on a stack-based virtual machine. Understanding this dual nature reveals how Python achieves its balance between high-level expressiveness and runtime efficiency.
Key Concepts:
Everything is an object: Integers, functions, classes, modules, even types themselves are objects with a uniform interface
The GIL: A mutex that protects Python objects, simplifying memory management but limiting CPU-bound parallelism
Memory Management: Reference counting (immediate) + cyclic garbage collection (for cycles)
Compilation Pipeline: Source → Tokens → AST → Bytecode → Execution
motivation
- It's important to know
- how to use a programming language
- it's tools
- compiler(s)
- assembler
- linker
It's vital to know how the compiler works from the source
- I dive in deep into the sources
- sit and read, learn the logic, check the remarks
- that gives and understanding of the workings of the whole suite of tools for that language
I used explorar.dev in this example, but you don't need the internet to analyse source code. Just download them once, then read at your leasure offline
The screencaps are included to show how it can be done via explorar.
Happy hacking!
Sources:
https://explorar.dev/python/cpython
#python #cpython #programming #source #code #analysis #environment #mathematics #physics #Lineair #Algebra #Linux #BSD #freeBSD #ghostBSD #OpenSource
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myself (@myself@mastodon.online)
`rust-script` lets you run #rust files as scripts without any setup or compilation step.
I found this very useful when I needed a script, but #python was too slow.
You might find it useful too, check it out at https://rust-script.org/
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myself (@myself@mastodon.online)
If you use #PyTorch and wants to know how it's gradient calculation and backpropagation works behind the scenes, here is a gem I found https://youtu.be/VMj-3S1tku0
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