TOML is great, and after diving deep into designing a config format, here's why I think that's true
https://www.reddit.com/r/Python/comments/1o8ors4/toml_is_great_and_after_diving_deep_into/
https://www.reddit.com/r/Python/comments/1o8ors4/toml_is_great_and_after_diving_deep_into/
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wshobson / agents
Intelligent automation and multi-agent orchestration for Claude Code
https://github.com/wshobson/agents
Intelligent automation and multi-agent orchestration for Claude Code
https://github.com/wshobson/agents
GitHub
GitHub - wshobson/agents: Intelligent automation and multi-agent orchestration for Claude Code
Intelligent automation and multi-agent orchestration for Claude Code - wshobson/agents
hyperflask
Full stack Python web framework to build websites and web apps with as little boilerplate as possible
https://github.com/hyperflask/hyperflask
Full stack Python web framework to build websites and web apps with as little boilerplate as possible
https://github.com/hyperflask/hyperflask
GitHub
GitHub - hyperflask/hyperflask: Full stack web framework
Full stack web framework. Contribute to hyperflask/hyperflask development by creating an account on GitHub.
uv-lock-report
A GitHub Action to report changes to uv.lock.
https://github.com/mw-root/uv-lock-report
A GitHub Action to report changes to uv.lock.
https://github.com/mw-root/uv-lock-report
GitHub
GitHub - mw-root/uv-lock-report: A GitHub Action to report changes to uv.lock.
A GitHub Action to report changes to uv.lock. Contribute to mw-root/uv-lock-report development by creating an account on GitHub.
DeepAnalyze: Agentic Large Language Models for Autonomous Data Science
DeepAnalyze is the first agentic LLM for autonomous data science, supporting:
🛠 Data preparation, analysis, modeling, visualization, and insight.
🔍 Data research and produce research report.
https://ruc-deepanalyze.github.io/
DeepAnalyze is the first agentic LLM for autonomous data science, supporting:
🛠 Data preparation, analysis, modeling, visualization, and insight.
🔍 Data research and produce research report.
https://ruc-deepanalyze.github.io/
The future of Python web services looks GIL-free
The free-threaded Python variant in 3.14 removes the Global Interpreter Lock (GIL), enabling true parallel multithreading for CPU-bound tasks. While it may have a modest performance cost on single-threaded code, it significantly improves memory efficiency and concurrency in web applications, simplifying deployment and boosting throughput, especially for ASGI and WSGI based services.
https://blog.baro.dev/p/the-future-of-python-web-services-looks-gil-free
The free-threaded Python variant in 3.14 removes the Global Interpreter Lock (GIL), enabling true parallel multithreading for CPU-bound tasks. While it may have a modest performance cost on single-threaded code, it significantly improves memory efficiency and concurrency in web applications, simplifying deployment and boosting throughput, especially for ASGI and WSGI based services.
https://blog.baro.dev/p/the-future-of-python-web-services-looks-gil-free
Fluxus by gi0baro
The future of Python web services looks GIL-free | Fluxus by gi0baro
Web frameworks benchmarks on CPython 3.14t looks promising
Three times faster with lazy imports
This post tests Python 3.15’s proposed PEP 810 explicit lazy imports, which delay loading modules until first use to cut startup time.? Using the feature on author's CLI tool pypistats, he found it ran 2.92× faster (reducing startup from 104 ms to 36 ms), demonstrating how lazy imports can significantly speed up Python applications with large dependency graphs.
https://hugovk.dev/blog/2025/lazy-imports/
This post tests Python 3.15’s proposed PEP 810 explicit lazy imports, which delay loading modules until first use to cut startup time.? Using the feature on author's CLI tool pypistats, he found it ran 2.92× faster (reducing startup from 104 ms to 36 ms), demonstrating how lazy imports can significantly speed up Python applications with large dependency graphs.
https://hugovk.dev/blog/2025/lazy-imports/
Hugo van Kemenade
Three times faster with lazy imports
DeepAnalyze: Agentic Large Language Models for Autonomous Data Science
DeepAnalyze is the first agentic LLM for autonomous data science, supporting:
🛠 Data preparation, analysis, modeling, visualization, and insight.
🔍 Data research and produce research reports.
https://github.com/ruc-datalab/DeepAnalyze
DeepAnalyze is the first agentic LLM for autonomous data science, supporting:
🛠 Data preparation, analysis, modeling, visualization, and insight.
🔍 Data research and produce research reports.
https://github.com/ruc-datalab/DeepAnalyze
GitHub
GitHub - ruc-datalab/DeepAnalyze: DeepAnalyze is the first agentic LLM for autonomous data science.
DeepAnalyze is the first agentic LLM for autonomous data science. - ruc-datalab/DeepAnalyze