PythonHub

Turning Data into Insight The article demonstrates how to build a flexible, modern data lakehouse architecture using open-source tools like MinIO, Apache Iceberg, Airflow, dbt, Spark, Pandera, and Superset. By integrating these technologies with Docker for easy deployment, it shows how to orchestrate robust data pipelines, ensure data quality, and enable scalable analytics from raw ingestion to interactive dashboards. https://towardsdev.com/turning-data-into-insight-flexible-lakehouse-with-minio-iceberg-airflow-dbt-spark-pandera-409d036e5542

Web Apps for Python Devs with Auto-Generated UI https://davia.ai/

pyfuze pyfuze makes your Python project run anywhere. https://github.com/TanixLu/pyfuze

Juvio UV kernel for Jupyter. https://github.com/OKUA1/juvio

LiveSplat Live Gaussian Splatting for RGBD Camera Streams. https://github.com/axbycc/LiveSplat

I don't like NumPy The author, once a fan of NumPy, now criticizes its complexity and opacity when working with high-dimensional arrays, arguing that common operations often become unreadable and error-prone due to confusing broadcasting, indexing, and function conventions. While NumPy excels at simple cases, the post contends that its design choices—especially around implicit broadcasting and lack of expl... https://dynomight.net/numpy/

muscle-mem A cache for AI agents to learn and replay complex behaviors. https://github.com/pig-dot-dev/muscle-mem

Voice_Extractor Extract voice segments of a target speaker from podcasts - Useful for creating speech datasets. https://github.com/ReisCook/Voice_Extractor

sre-bot A Google Agent Development Kit (ADK) powered assistant designed to help Site Reliability Engineers (SREs) with operational tasks and monitoring, particularly focused on Kubernetes interactions. https://github.com/serkanh/sre-bot

OpenThinkIMG OpenThinkIMG is an end-to-end open-source framework that empowers LVLMs to think with images. https://github.com/zhaochen0110/OpenThinkIMG

Dagster - Data Orchestration and Pipelines with Python & DAGs This video is a practical introduction to using Dagster for Python-based data orchestration, covering core concepts like assets, definitions, scheduling, and the Dagster UI. Through hands-on examples—including building a pipeline with Polars and DuckDB—the tutorial demonstrates how to define, manage, and automate complex data workflows in modern data engineering. https://www.youtube.com/watch?v=sKqDq4TFbmY

Modern Python Boilerplate - good package basic structure https://www.reddit.com/r/Python/comments/1krsxut/modern_python_boilerplate_good_package_basic/

How to become a data scientist in 2025 ? https://www.reddit.com/r/learnpython/comments/1ku8ksa/how_to_become_a_data_scientist_in_2025/

Template Strings in Python 3.14: Structured Interpolation Python 3.14 introduces template strings (t""), which return structured Template objects instead of plain strings, enabling full inspection and control of interpolated expressions. This allows safer, customizable rendering for use cases like shell commands, HTML output, logging, and config generation—offering a powerful alternative to f-strings when you need pre-render control. https://blog.abhimanyu-saharan.com/posts/template-strings-in-python-3-14-structured-interpolation

LangGraph Complete Course for Beginners – Complex AI Agents with Python This video course introduces LangGraph, a Python library for building advanced conversational AI workflows using a graph-based approach. It guides viewers through designing, implementing, and managing scalable dialogue systems, covering both theoretical concepts and hands-on coding exercises. https://www.youtube.com/watch?v=jGg_1h0qzaM

workflow-use Create and run workflows (RPA 2.0). https://github.com/browser-use/workflow-use

Python Hub Weekly Digest for 2025-05-25 https://pythonhub.dev/digest/2025-05-25/

kit kit is a production-ready Python toolkit for codebase mapping, symbol extraction, code search, and building LLM-powered developer tools, agents, and workflows. Use kit to build things like code reviewers, code generators, even IDEs, all enriched with the right code context. https://github.com/cased/kit

Microsoft layoffs hit Faster CPython team - including the Technical Lead, Mark Shannon https://www.reddit.com/r/Python/comments/1kmwdbu/microsoft_layoffs_hit_faster_cpython_team/

Exploring flexicache An exploration of using flexicache for caching in Python. https://daniel.feldroy.com/posts/2025-05-flexicache