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Symbolic Learning in Python and Julia
Bringing uv and ty together
Astral introduces experimental integration between uv and ty, enabling dependency-aware type checking for Python scripts with PEP 723 inline metadata and a new uv check command that automatically prepares project environments and runs ty. The integration also supports workspace-wide type checking and consistent ty versions through uv's lockfile, bringing Python development tools closer t...
Build an AI That Turns Your Voice Into Images, Video and Audio (Python)
This video demonstrates how to build a Python AI agent that automates the entire video creation pipeline, including speech-to-text, scriptwriting, image generation, voice synthesis, and video rendering. By using OpenRouter as a unified API, the project shows how to integrate multiple AI models efficiently while tracking individual operation costs.
Python's experimental JIT to be removed
apache iceberg beneath the surface
A video tutorial on how Apache Iceberg's manifests, snapshots, and catalog turn a folder of Parquet files into a table with ACID transactions, hidden partitioning, time travel, and schema evolution. Tutorial uses the data on NYC taxi trips along with PyIceberg, Polars, and DuckDB.
💖 Most Popular in the Last Two Weeks
Quicksand
Quicksand is an async Python API for launching, controlling, snapshotting, and rolling back QEMU virtual machines to provide isolated sandboxes for AI agents without requiring Docker or root privileges.
Lifeguard
Lifeguard is a static analyzer to detect Lazy Imports incompatibilities and ease the adoption overhead for Lazy Imports in Python.
fastapi-stream-lease
Distributed stream and SSE concurrency lease manager for FastAPI and Starlette backed by atomic Redis Lua scripts.
RuleFlow
A Python research framework and terminal-based IDE (RuleFlow Studio) for modeling, evolving, and analyzing discrete complex systems like ECA and SSS.
python-date-parser
A Rust-backed Python library for fast fuzzy parsing of heterogeneous date strings, with bulk-list and Polars APIs that avoid Python-level iteration and can outperform pure-Python alternatives by orders of magnitude.
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