People reading documentation are also learning how to organize their projects by example, so nondescript names like "djangotutorial" and "mysite" should not be used, even in tutorials.
#python
Признаки в обучении и проде расходятся: воспроизводим ошибку на тестовом наборе
Модель проходит офлайн-тесты, но ошибается в продакшене из-за расхождения входных признаков. На примере Python разбираем, как выявить Training–Serving Skew, восстановить данные на момент прогноза и автоматизировать проверку перед релизом. Разобрать пример
https://habr.com/ru/companies/otus/articles/1091202/
#python #валидация_данных #продакшен #машинное_обучение #признаки #mlops #mlмодели #feature_store #мониторинг_моделей
Explaining xgboost predictions with the teller
https://thierrymoudiki.github.io/blog/2021/03/12/python/explainableml/teller-xgboost
#Python #DataScience #MachineLearning #rstats #Techtonique

Predictive modeling is just astrology for people who know how to use Python.
New research.
This relates to CVE-2026-105133 and CVE-2026-105134, reported in October.
Huntress: Inside an AhsayCBS Intrusion: Hidden Webshells, a CryptoMiner, and a C2 Implant https://www.huntress.com/blog/ahsaycbs-webshells @huntress #infosec #threatresearch #JavaScript #Python #vulnerability
Work from anywhere | Forward Deployed Engineer
$30/hr on a contract basis, project by project
✅ Rebuilding inherited systems safely, parity tests included
✅ Shipping retrieval systems and multi-step agents on LLM APIs
✅ Python or TypeScript, with real Postgres behind it
✅ Walking a client through a tradeoff in plain language
How do you decide when a prototype is worth saving versus starting over?
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llama-modchip is a collection of kernel patches for ggml/llama.cpp, quantisation transcoders and runtime tools, capable of processing an astonishing number of tokens even on underpowered computers without a GPU: https://github.com/synchopate/llama-modchip#readme
#llama #DeepSeek #llm #AIAgents #Python
Sharded CI runs leave you with scattered JUnit XML files. This 216-line beginner Python script merges them into one summary.xml. Handy for GitHub Actions, GitLab CI, Jenkins users. #testing #python #cicd https://www.valtersit.com/python/pytest-junit-xml-report-aggregator/

#Python's CVEs Triple. #Anthropic Funds a New Security Developer
Случилось моё микро-знакомство с миром серверов.
Получилось установить #fedora #server 45, добавить #ssh ключ, #apache и
разместить статический тестовый helloworld'ный сайт.
И ещё запустить свой systemd сервис на #python для динамической генерации сайта.
Пока всё как-то сложно 🫣

Reading a CSV into a #Python #Pandas data frame?
Before version 3.1, loading CSV was single-threaded and slow. My test file took 1.03s.
In 3.1, it's now multi-threaded and much faster, taking 252 ms.
However, it's still far slower than PyArrow, which took 25.5 ms.

Fun with computer representation of numbers. I think it is the same in many languages.
Given a sensor reading as a string in milli-Cruft, convert the string to represent Cruft with up to three digits to the right of the decimal point. Take care of negative numbers too, so
0 -> 0 (or 0.000 if you like)
10 -> 0.01
-111 -> -0.111
2000 -> 2 (or 2.000 as you like)
Beware of double conversion and dividing by 1000. Turns out to be really fiddly.😩