Невидимая война: почему найти скрытые данные сложнее, чем их спрятать
Привет, Хабр! В прошлый раз мы написали свой стегоанализатор и научились находить следы простого LSB-внедрения. На первый взгляд может показаться, что задача решена: есть алгоритм, есть анализатор, запускаем проверку и получаем ответ. Но в реальности всё гораздо сложнее. Стегоанализ — это не спринт, а бесконечная гонка вооружений, в которой тот, кто прячет, почти всегда на шаг впереди.
https://habr.com/ru/companies/chameleonlab/articles/949216/
#python #ChameleonLab #pdf #Стеганография #Криптография #Стегоанализ #Поиск_скрытых_данных
Aprender Django https://myblog.clonbg.es/aprender-django/ #Programación #Python https://clonbg.es

Sarah Boyce - Maternity leave announcement
Hello Djangonauts,
At the end of this month, I'll be stepping away from my role as Django Fellow for some time while I'm on maternity leave.
During this period, I don't anticipate being active on Trac, in PR reviews, on the Forum, or on Discord. I would appreciate folks giving me space to settle in with my new baby.
Django will be well looked after by our Fellows, Natalia Bidart and Jacob Walls, who will continue supporting the project and community while I'm away.
I'm grateful to be part of such a wonderful community, and I look forward to returning after I have settled into this new chapter of my life. Thank you all for your support in keeping Django thriving.
Sarah Boyce
Django Fellow, mum-to-be
https://www.djangoproject.com/weblog/2025/sep/21/sarah-boyce-maternity-leave-announcement/
Nvmath-Python: Nvidia Math Libraries for the Python Ecosystem
https://github.com/NVIDIA/nvmath-python
🚀 Day 8 – Final of the LLM Observability Mini-Course
🔎 Prometheus + Grafana to monitor LLM apps
📊 Metrics: requests, errors, latency
🛠️ Dashboards + alerts
🧩 Integration via docker-compose and prometheus.yml
#LLM #Observability #MLOps #Grafana #Prometheus #AI #Python #LangChain #XavierDataLabs

Code at: https://github.com/villares/sketch-a-day/tree/main/2025/sketch_2025_09_21
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
https://liberapay.com/Villares
https://wise.com/pay/me/alexandrev562 #Processing #Python #py5 #CreativeCoding

I've decided to learn #programming after completely dropping it when computers dropped #BASIC in ROM. After recommendations from friends and YouTube to study #javascript, #python, #lisp, #golang, #csharp, and #turbopascal, I decided to make #Lua my first "modern" language. It looks a lot like Python but for some reason the syntax seems more intuitive to me. Also, I want to develop games for #pico8 so it's a good match. I hope I can keep this enthusiasm up long enough to program a whole game.
David Amos: #GraphTheory with #Python
https://www.youtube.com/watch?v=yXTDslxVfdM&list=PLLIPpKeh9v3ZFEHvNd5xqUrCkqLgXnekL
Quickstart: Rapid prototyping with the mssql-python driver for Python
#SQLServer #Python
https://learn.microsoft.com/en-us/sql/connect/python/mssql-python/python-sql-driver-mssql-python-rapid-prototyping-quickstart?view=sql-server-ver17&tabs=linux%2Cazure-sql
AAS LLC USA: Explain how PI controllers are tuned
uning a PI controller is the process of finding the optimal values for the proportional gain (Kp) and the integral gain (Ki) to achieve a desired system response. The goal is to get a fast response without excessive overshoot or instability, while also eliminating any steady-state error. There are several methods for tuning PI controllers, ranging from simple trial-and-error to more systematic, model-based approaches. 1. Manual Tuning (Trial-and-Error) This is a common method, […]https://aasllcusa.com/2025/09/21/aas-llc-usa-explain-how-pi-controllers-are-tuned/

learning about #browsercookie has made #python so much easier to reach for for simple one-off #scraping jobs - no need to fool with authentication, if you can see a page in your browser, you can get to it with python!
https://pypi.org/project/browsercookie/
I feel kinda stupid that Python's `side_effect` from `unittest.mock` let's you (basically) late bind the `return_value`.
#programming #dev #python #developers #development #tests