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🍹 Latest

TurboDRF
The dead simple Django REST Framework API generator with role-based permissions.

Create a React + Flask Project in 2025
The tutorial provides an updated 2025 workflow for building a combined React and Flask application, detailing how to structure, run, and connect a modern React frontend with a Flask backend using current tools and best practices.

Should You Replace Every For Loop With Map and Filter?
Think map() and filter() are always better than for loops? Not so fast. This video walks you through four situations where functional code actually makes things worse—and explain why the classic for loop still deserves a place in your toolbox.

lmms-eval
Accelerating the development of large multimodal models (LMMs) with one-click evaluation module - lmms-eval.

PyDoll – Async Python scraping engine with native CAPTCHA bypass


đź’– Most Popular in the Last Two Weeks

20 Pandas One-Liners That Can Save You Hours of Work
A curated set of 20 concise Pandas one-liners that leverage advanced features—like Arrow-backed dtypes, vectorized eval, and efficient group-by transforms—to optimize common data preprocessing, filtering, and aggregation tasks. These snippets are designed to streamline data analysis workflows on large datasets by reducing memory usage, speeding up computations, and minimizing boilerplate...

Flask Wiki
A community-driven wiki for learning Flask.

Traffic meter per ASN without logs
The author introduces asncounter, a Python tool that analyzes logs or network traffic to count and group incoming IPs by their Autonomous System Number (ASN), helping identify which organizations are generating the most traffic. It’s designed for quick deployment and practical insight—especially when logs are anonymized or attackers use distributed IPs—making it easier to spot patterns, ...

A simple search engine from scratch*
The author describes building a simple search engine for their blog using word embeddings (word2vec), where each post and query is represented as a vector and ranked by cosine similarity. They detail the technical process, from embedding words and posts to creating a lightweight, browser-friendly search front-end, and discuss evaluating its effectiveness compared to keyword-based search.

Q-Insight
Understanding Image Quality via Visual Reinforcement Learning.


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