A campaign active since last November has been targeting Python developers building Telegram bots with trojanized Pyrogram ...

Abstract: Modern data storage systems often fetch data from a large number of sources. Although synchronous data transfer is simple as it can use simple scheduling of data delivery, it scales poorly.

Credit: VentureBeat made with OpenAI ChatGPT-Images-2.0 Runpod, the high-performance cloud computing and GPU platform designed specifically for AI development, today launched a new open source, MIT ...

A new framework from researchers Alexander and Jacob Roman rejects the complexity of current AI tools, offering a synchronous, type-safe alternative designed for reproducibility and cost-conscious ...

Developers spend a huge chunk of their time in the terminal like running commands, reading logs, debugging scripts, working with git, managing servers, and automating tasks. But the terminal is also ...

Software engineer. Primary focus - Python & mathematics. Designing API servers and pipelines. Following my previous post about setting a function-level database setup, which is a junior-level solution ...

Abstract: Federated Learning is a distributed machine learning paradigm that enables model training across decentralized devices holding local data, thereby preserving data privacy and reducing the ...

FastAPI and AIOHTTP deliver speed and real-time response for modern applications. DRF remains a secure and reliable choice for enterprise-level projects. Lightweight frameworks like Flask, Hug, and ...

The right Python libraries can dramatically improve speed, efficiency, and maintainability in 2025 projects. Mastering a mix of data, AI, and web-focused libraries ensures adaptability across multiple ...