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! #PostgreSQL #Python #SharedLibraries #NumPy #Database #Extensions
https://tech-champion.com/databas...

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.

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: https://github.com/Blosc/python-blosc2/blob/main/examples/ndarray/jit-numpy-funcs.py

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

https://habr.com/ru/articles/894530/

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 #Python and #NumPy to create a pixelated masterpiece of #inefficiency. Let's all pretend this is groundbreaking while we sip our lukewarm coffee.
https://bernsteinbear.com/blog/prospero/ #ProsperoChallenge2025 #pixelatedmasterpiece #lukewarmcoffee #HackerNews #ngated

In a stunning feat of #innovation, the author challenges us to... wait for it... render an image from #math expressions! If you're itching to waste time with 28 lines of #Python and some #Numpy, then boy, do we have the mind-numbingly tedious task for you! ️
https://www.mattkeeter.com/projects/prospero/ #imageprocessing #HackerNews #ngated

No, it’s 25% tariff on runtime resources. Time to switch to Musk-flavored lisp, and Make America Functional Again! Or C+Trump, if unsafe efficiency is what you’re after. (m b) #Python #NumPy

Was playing with numpy. I found this tutorial on Convolution operations: I found it very helpful

https://numbersmithy.com/2d-and-3d-convolutions-using-numpy/

Code at: https://github.com/villares/sketch-a-day/tree/main/2025/sketch_2025_03_21
More sketch-a-day: https://abav.lugaralgum.com/sketch-a-day

If you like this, support my work, donate at:
https://www.paypal.com/donate/?hosted_button_id=5B4MZ78C9J724
https://liberapay.com/Villares
https://wise.com/pay/me/alexandrev562If you like this, support my work: https://www.paypal.com/donate/?hosted_button_id=5B4MZ78C9J724

It could be a T-shirt :)

Code at: https://github.com/villares/sketch-a-day/tree/main/2025/sketch_2025_03_20
Update: I added the Y axis flip :)

More sketch-a-day: https://abav.lugaralgum.com/sketch-a-day

If you like this, support my work, donate at: https://www.paypal.com/donate/?hosted_button_id=5B4MZ78C9J724
https://liberapay.com/Villares
https://wise.com/pay/me/alexandrev562

#Processing #Python #py5 #numpy #shapely #trimesh #STL #3Dprinting
#CreativeCoding

Unlocking the Power of NumPy: A Developer's Guide to Data Representation

NumPy stands as the cornerstone of data manipulation and analysis in Python, pivotal for machine learning and scientific computing. This article delves into its capabilities, from creating arrays to a...

https://news.lavx.hu/article/unlocking-the-power-of-numpy-a-developer-s-guide-to-data-representation

Working on core array computing libraries that power #scientificPython? #EuroSciPy2025 wants your proposals on optimized array operations, vectorization techniques, and numerical foundations. Submit your groundbreaking work!

https://pretalx.com/euroscipy-2025/cfp

Unlocking the World of Digital Signal Processing with DSPylab

Dive into the innovative realm of DSPylab, a Python-based educational playground that empowers developers and learners to explore digital signal processing algorithms. With tools like NumPy and Matplo...

https://news.lavx.hu/article/unlocking-the-world-of-digital-signal-processing-with-dspylab

Метод Python numpy.where(): синтаксис и как использовать

Метод numpy.where() является одним из наиболее мощных и часто используемых инструментов в библиотеке NumPy для условного выбора элементов из массивов. Он предоставляет гибкие возможности для обработки и анализа больших массивов данных, позволяя заменять традиционные условные операторы if-else и значительно ускоряя выполнение кода. Этот метод позволяет заменить элементы массива, которые удовлетворяют определенному условию, на заданные значения, а остальные оставить неизменными. В отличие от обычных циклов, которые могут замедлять выполнение при работе с большими объемами данных, numpy.where() использует векторизацию, что делает выполнение операций более быстрым и эффективным.

https://habr.com/ru/companies/timeweb/articles/890254/

Oh look, a rainbow! Exploring the Visible Spectrum with Python Part 1
In this article I write Python code to calculate the frequencies, wavelengths, energies and RGB values of light across the visible spectrum. (Next week in Part 2 I plot the data using Matplotlib.)
#python #pythonprogramming #physics #numpy #matplotlib #light #spectrum
https://codedrome.substack.com/p/visible-spectrum-python

Demo of raster clipping/masking with #py5 and #numpy. Code at: https://github.com/villares/sketch-a-day/tree/main/2025/sketch_2025_03_05
More sketch-a-day: https://abav.lugaralgum.com/sketch-a-day
If you like this, support my work: https://www.paypal.com/donate/?hosted_button_id=5B4MZ78C9J724 #Processing #Python #py5 #CreativeCoding

The #python #numpy .npy format error messages assume the reader is the API user, not someone using a third-party package calling the API.

LIke, if my user sees "we only support format version..." , how do they know it's NumPy and not me?

Or, if you read a pickled npy file even though I explicitly set allow_pickle=False, the message is "If you trust the file you can load it unsafely using the `allow_pickle=`".

I rewrite some of the messages (which change pretty often) for clarity.

Interested in #MPI and #OpenMP parallel programming to speed up your scientific applications written in #C, #Cpp, #Fortran or #Python (with #numpy)?

Attend our course in #Mainz at the Johannes Gutenberg University (#JGU) for a 4-day course from 1. April to 4. April 2025! We still have plenty of space available!

See our announcement page for further details and to register: https://indico.zdv.uni-mainz.de/event/34/

Note, it is an on-site course.

@unimainz_events