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#numpy

2 posts2 participants0 posts today
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Jack Atkinson

I upgraded archeryutils to use #numpy #typing more 'properly'.
I found the docs and other sources challenging when it came to implementation and examples, so here are my observations and an #ELI5 summary of the bits I felt were missing in the hope it might help others: jackatkinson.net/post/numpy_ty

Comments welcome.
#Python #SoftwareEngineering

Jack Atkinson's Website · Typing in numpyI recently updated my archeryutils package to use numpy typing ‘properly’. Whilst I was already using type checking, it was in a non-ideal fashion for numpy due to a lack of experience/understanding when originally writing the code. I also find the numpy typing documentation hard to read when it comes to practical implementation, so summarise what I found here.
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Sharlatan

For Python pro, how to package any projects depending on Numpy properly when 1 and 2 versions are not compatible. I tried NixOS way or Gentoo way but didn't get it.

#Guix#Nix#Gentoo
Public
danzin

Do you maintain or contribute to a package that includes a C extension? Would you like to run a fuzzer against it?

If so, let me know and I will run it, or help you to get it running.

The fuzzer is , which generates random code calling into your functions and methods. It's useful to check for crashes on invalid inputs or unexpected call patterns.

It has found about 50 crashes in , 20 in , 6 in etc.


See here:
github.com/devdanzin/fusil/iss

fusil can find crashes in external C extensions. This issue records which have been fuzzed, results, and a list of possible candidates. Asking maintainers of each package beforehand whether there i...
GitHubFuzz C extensions · Issue #37 · devdanzin/fusilBy devdanzin
Public
zartom

PostgreSQL Shared Libraries: Solving Python Extension Library Path Issues
Smoothly integrate Python extensions with PostgreSQL Shared Libraries, especially when using NumPy. Properly configuring the `shared_libraries` parameter prevents runtime errors by ensuring your database server can locate necessary libraries. Learn how to manage PostgreSQL Shared Libraries for robust Python extensions!
tech-champion.com/databas...

Public
InterData VN

NumPy là gì? A-Z về thư viện NumPy trong hệ sinh thái Python

NumPy là một thư viện cực kỳ mạnh mẽ trong Python, nổi bật với khả năng xử lý mảng dữ liệu đa chiều một cách nhanh chóng và hiệu quả. Đây là công cụ không thể thiếu trong khoa học dữ liệu, lập trình và học máy. Bài viết này sẽ giới thiệu về các tính năng nổi bật của NumPy, các hàm phổ biến và những ứng dụng thực tế của thư viện này.

Xem ngay: interdata.vn/blog/numpy-la-gi/

#INTERDATA#NUMPY#PYTHON
Replied in thread
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Steve Leach

@aethrvmn

I'm not really saying they do. I was more making fun of myself there.

As a kid I did #assembly - first without an assembler using paper and debug (enter 0000 for all jumps until you know their addresses, write down in notebook, go back and adjust.. save to .com)

Then C.

Swore anything higher level was lazy and wrong.

Then basically learned #Python in my 30's - it felt wrong, but #numpy, #theano, so..

Now #Rust - makes me nostalgic for old stubborn ways. And for C.

#rustlang
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Habr

Знакомимся с SciPy

Научные и технические вычисления — неотъемлемая часть работы инженеров, аналитиков и специалистов по машинному обучению. В этой статье мы разберём, чем полезна библиотека SciPy, какие задачи она помогает решать и как дополняет возможности NumPy. Покажем на примерах, как работать с константами, кластеризацией и преобразованием сигналов.

habr.com/ru/companies/otus/art

ХабрЗнакомимся с SciPyТехнологии машинного обучения используются во многих отраслях. В этой статье мы поговорим о использовании библиотеки SciPy при выполнении научных и технических вычислений....
#scipy#python#ml
Public
zartom

PostgreSQL Shared Libraries: Solving Python Extension Library Path Issues
Smoothly integrate Python extensions with PostgreSQL Shared Libraries, especially when using NumPy. Properly configuring the `shared_libraries` parameter prevents runtime errors by ensuring your database server can locate necessary libraries. Learn how to manage PostgreSQL Shared Libraries for robust Python extensions!
tech-champion.com/databas...

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Chaotic Unicorn

Connaissez-vous l'histoire du mec qui ne sait pas programmer mais qui décide dans un moment de passion qu'il va implémenter un truc avec des vraies mathématiques (genre il y a des divisions et tout) en #python ?
Le même gars qui après une demi journée de rage et larmes pose une question tellement spécifique au moteur de recherche qu'il tombe sur l'implémentation déjà existante fournie par #numpy.

C'est à emporter, c'est pour un ami, moi je suis végétarien.

Public
Blosc Development Team

🚀 Exciting Python-Blosc2 Update!
In 3.2.1 release, we've implemented the __array_interface__ protocol for our array containers, dramatically expanding interoperability with NumPy, CuPy and other array libraries.

This means our blosc2.jit decorator now works with virtually all NumPy functions! Compute with the full power of NumPy with either decompressed data... or compressed data without decompressing first.

Check out examples: github.com/Blosc/python-blosc2

The plot shows the performance of the new Blosc2 compute capabilities. It can be more than 10x faster than NumPy.
#DataScience#Python#Compression
Public
Habr

Инструменты Python для анализа данных на примере данных стриминг-сервиса

В данной статье рассмотрены некоторые методы и инструменты библиотек python для анализа данных. Используем три самые популярные библиотеки: Pandas, Numpy, Seaborn

habr.com/ru/articles/894530/

ХабрИнструменты Python для анализа данных на примере данных стриминг-сервисаВ данной статье будет рассказано о некоторых методах библиотек Python, с помощью которых можно производить анализ данных, писать аналитические запросы к набору данных, визуализировать необходимую...
#pand#numpy#seaborn
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N-gated Hacker News

🎩✨ Behold, the Prospero Challenge 2025, now with a dumpster full of garbage collection! Max Bernstein's brilliant "speed up the snail" saga involves a microscopic tweak of and to create a pixelated masterpiece of . 🖥️🐌🤦‍♂️ Let's all pretend this is groundbreaking while we sip our lukewarm coffee. ☕💤
bernsteinbear.com/blog/prosper

Max Bernstein · Prospero challenge, now with more garbage collection
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