ml-intern
An open-source ML engineer that reads papers, trains models, and ships ML models.
https://github.com/huggingface/ml-intern
An open-source ML engineer that reads papers, trains models, and ships ML models.
https://github.com/huggingface/ml-intern
GitHub
GitHub - huggingface/ml-intern: 🤗 ml-intern: an open-source ML engineer that reads papers, trains models, and ships ML models
🤗 ml-intern: an open-source ML engineer that reads papers, trains models, and ships ML models - huggingface/ml-intern
honker
SQLite extension + bindings for Postgres NOTIFY/LISTEN semantics with durable queues, streams, pub/sub, and scheduler
https://github.com/russellromney/honker
SQLite extension + bindings for Postgres NOTIFY/LISTEN semantics with durable queues, streams, pub/sub, and scheduler
https://github.com/russellromney/honker
GitHub
GitHub - russellromney/honker: SQLite extension + bindings for Postgres NOTIFY/LISTEN semantics with durable queues, streams, pub/sub…
SQLite extension + bindings for Postgres NOTIFY/LISTEN semantics with durable queues, streams, pub/sub, and scheduler - russellromney/honker
Single file Python CLIs when do you split, when do you keep it monolithic?
https://www.reddit.com/r/Python/comments/1t0crw2/single_file_python_clis_when_do_you_split_when_do/
https://www.reddit.com/r/Python/comments/1t0crw2/single_file_python_clis_when_do_you_split_when_do/
Reddit
From the Python community on Reddit
Explore this post and more from the Python community
Easily Stream LLM Responses with Django-Bolt and PydanticAI
A guide showing how easy it is to start using django-bolt and PydanticAI agents together.
https://www.caktusgroup.com/blog/2026/04/27/django-bolt-easy-pydanticai-streaming/
A guide showing how easy it is to start using django-bolt and PydanticAI agents together.
https://www.caktusgroup.com/blog/2026/04/27/django-bolt-easy-pydanticai-streaming/
Caktusgroup
Easily Stream LLM Responses with Django-Bolt and PydanticAI | Caktus Group
A guide showing how easy it is to start using django-bolt and PydanticAI agents together.
Choosing a Python Logging Library in 2026
Compare Pythons standard logging module structlog and Loguru with real benchmarks OpenTelemetry integration paths and frameworkspecific guidance for Django FastAPI and Flask.
https://www.dash0.com/guides/python-logging-libraries
Compare Pythons standard logging module structlog and Loguru with real benchmarks OpenTelemetry integration paths and frameworkspecific guidance for Django FastAPI and Flask.
https://www.dash0.com/guides/python-logging-libraries
Dash0
Choosing a Python Logging Library in 2026 · Dash0
Compare Pythons standard logging module structlog and Loguru with real benchmarks OpenTelemetry integration paths and frameworkspecific guidance for Django FastAPI and Flask
❤1🔥1
Databases Were Not Designed For This
The post defines defensive databases as systems designed to protect data from buggy, noisy, or autonomous applications through safeguards such as idempotency, auditability, soft deletes, controlled writes, and strict permissions. As AI agents and distributed services generate more unpredictable traffic, data stores must actively preserve integrity rather than assuming every client behave...
https://arpitbhayani.me/blogs/defensive-databases
The post defines defensive databases as systems designed to protect data from buggy, noisy, or autonomous applications through safeguards such as idempotency, auditability, soft deletes, controlled writes, and strict permissions. As AI agents and distributed services generate more unpredictable traffic, data stores must actively preserve integrity rather than assuming every client behave...
https://arpitbhayani.me/blogs/defensive-databases
Arpit Bhayani
Databases Were Not Designed For This
There is an implicit contract at the foundation of every database architecture decision you have ever made. You probably never wrote it down. Nobody does. It just… existed.
Do you actually read the source code of libraries you install?
https://www.reddit.com/r/Python/comments/1t7yfuw/do_you_actually_read_the_source_code_of_libraries/
https://www.reddit.com/r/Python/comments/1t7yfuw/do_you_actually_read_the_source_code_of_libraries/
Reddit
From the Python community on Reddit
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Datanomy
Datanomy is a terminal-based tool for inspecting and understanding data files. It provides an interactive view of your data's structure, metadata, and internal organization.
https://github.com/raulcd/datanomy
Datanomy is a terminal-based tool for inspecting and understanding data files. It provides an interactive view of your data's structure, metadata, and internal organization.
https://github.com/raulcd/datanomy
GitHub
GitHub - raulcd/datanomy: Dissecting data structures
Dissecting data structures. Contribute to raulcd/datanomy development by creating an account on GitHub.
How we rebuilt search ranking at Faire with deep learning
From XGBoost to deep learning: a two-year rebuild of Faire’s ranking stack.
https://craft.faire.com/how-we-rebuilt-search-ranking-at-faire-with-deep-learning-14f080679c83
From XGBoost to deep learning: a two-year rebuild of Faire’s ranking stack.
https://craft.faire.com/how-we-rebuilt-search-ranking-at-faire-with-deep-learning-14f080679c83
Medium
How we rebuilt search ranking at Faire with deep learning
From XGBoost to deep learning: a 2-year rebuild of Faire’s ranking stack drove +2.14% order growth in North America and +1.54% in Europe.
Full-Text Search with DuckDB
The post shows how DuckDB’s full-text search extension can index a large email corpus and run BM25-ranked keyword search directly in SQL, without needing a separate search engine. It also walks through practical preprocessing and filtering steps, then demonstrates conjunctive queries that return only documents matching all search terms.
https://peterdohertys.website/blog-posts/full-text-search-w-duckdb.html
The post shows how DuckDB’s full-text search extension can index a large email corpus and run BM25-ranked keyword search directly in SQL, without needing a separate search engine. It also walks through practical preprocessing and filtering steps, then demonstrates conjunctive queries that return only documents matching all search terms.
https://peterdohertys.website/blog-posts/full-text-search-w-duckdb.html
peterdohertys.website
Full-Text Search with DuckDB - peterdohertys.website
Pete Doherty is a NYC based software developer
lightning PyPI Compromise: A Bun-Based Credential Stealer in Python
The post describes a PyPI supply-chain compromise in lightning 2.6.2/2.6.3, where importing the package silently downloads Bun and runs an obfuscated JavaScript credential stealer. It also says the payload steals GitHub, cloud, and other secrets, then uses any captured credentials to spread further and commit exfiltrated data back into victim repos.
https://snyk.io/blog/lightning-pypi-compromise-bun-based-credential-stealer/
The post describes a PyPI supply-chain compromise in lightning 2.6.2/2.6.3, where importing the package silently downloads Bun and runs an obfuscated JavaScript credential stealer. It also says the payload steals GitHub, cloud, and other secrets, then uses any captured credentials to spread further and commit exfiltrated data back into victim repos.
https://snyk.io/blog/lightning-pypi-compromise-bun-based-credential-stealer/
Snyk
Lightning PyPI Compromise: Bun-Based Stealer | Snyk
A malicious release of the lightning PyPI package ships a credential-stealing Bun payload that runs on import. Snyk has a live advisory. Here's what's in the package, what to rotate, and how the payload pattern connects to the Mini Shai-Hulud npm campaign…
What’s the simplest way to distribute a Python app to normal users?
https://www.reddit.com/r/learnpython/comments/1t7y5m7/whats_the_simplest_way_to_distribute_a_python_app/
https://www.reddit.com/r/learnpython/comments/1t7y5m7/whats_the_simplest_way_to_distribute_a_python_app/
Reddit
From the learnpython community on Reddit
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token-optimizer
Find the ghost tokens. Fix them. Survive compaction. Avoid context quality decay.
https://github.com/alexgreensh/token-optimizer
Find the ghost tokens. Fix them. Survive compaction. Avoid context quality decay.
https://github.com/alexgreensh/token-optimizer
GitHub
GitHub - alexgreensh/token-optimizer: Find the ghost tokens. Fix them. Survive compaction. Avoid context quality decay.
Find the ghost tokens. Fix them. Survive compaction. Avoid context quality decay. - alexgreensh/token-optimizer