claude-howto
A visual, example-driven guide to Claude Code - from basic concepts to advanced agents, with copy-paste templates that bring immediate value.
https://github.com/luongnv89/claude-howto
A visual, example-driven guide to Claude Code - from basic concepts to advanced agents, with copy-paste templates that bring immediate value.
https://github.com/luongnv89/claude-howto
GitHub
GitHub - luongnv89/claude-howto: A visual, example-driven guide to Claude Code — from basic concepts to advanced agents, with copy…
A visual, example-driven guide to Claude Code — from basic concepts to advanced agents, with copy-paste templates that bring immediate value. - luongnv89/claude-howto
How Clean Code Turns Into Overengineering
This video is about how code that looks clean can still hide a bad design, and why overusing tiny abstractions can make a program harder to understand and change. It refactors a Python reporting example by simplifying the structure, making the pipeline explicit, and focusing on cohesion over smallness.
https://www.youtube.com/watch?v=U4sPMwAiXco
This video is about how code that looks clean can still hide a bad design, and why overusing tiny abstractions can make a program harder to understand and change. It refactors a Python reporting example by simplifying the structure, making the pipeline explicit, and focusing on cohesion over smallness.
https://www.youtube.com/watch?v=U4sPMwAiXco
YouTube
Why “Clean Code” Often Creates Worse Designs
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In this video, I refactor a small Python program that looks clean on the surface but hides a messy design underneath. Step by step, I remove unnecessary…
In this video, I refactor a small Python program that looks clean on the surface but hides a messy design underneath. Step by step, I remove unnecessary…
Why pylock.toml includes digital attestations
Including digital attestations in pylock.toml allows developers to verify the origin and integrity of dependencies, not just their versions and hashes, improving protection against supply chain attacks. The broader point is that modern package security requires provenance, not just reproducibility, so lock files are evolving from “what to install” into “what can be trusted to install.”
https://snarky.ca/why-pylock-toml-includes-digital-attestations/
Including digital attestations in pylock.toml allows developers to verify the origin and integrity of dependencies, not just their versions and hashes, improving protection against supply chain attacks. The broader point is that modern package security requires provenance, not just reproducibility, so lock files are evolving from “what to install” into “what can be trusted to install.”
https://snarky.ca/why-pylock-toml-includes-digital-attestations/
Tall, Snarky Canadian
Why pylock.toml includes digital attestations
A Python project got hacked where malicious releases were directly uploaded to PyPI. I said on Mastodon that had the project used trusted publishing with digital attestations, then people using a pylock.toml file would have noticed something odd was going…
NumPy as Synth Engine
NumPy can be used as a real time sound synthesis engine, generating all audio directly from mathematical functions like waves, noise, and filters without any pre recorded samples. The broader idea is that powerful general purpose tools like NumPy can be pushed far beyond their intended use, enabling complex systems like music generation through pure computation.
https://kennethreitz.org/essays/2026-03-29-numpy_as_synth_engine
NumPy can be used as a real time sound synthesis engine, generating all audio directly from mathematical functions like waves, noise, and filters without any pre recorded samples. The broader idea is that powerful general purpose tools like NumPy can be pushed far beyond their intended use, enabling complex systems like music generation through pure computation.
https://kennethreitz.org/essays/2026-03-29-numpy_as_synth_engine
Kenneth Reitz
NumPy as Synth Engine
There are zero audio files in PyTheory. No samples. No recordings. Not one byte of pre-recorded sound anywhere in the repository. You can see the code that...
vectorize-io / hindsight
Hindsight: Agent Memory That Learns
https://github.com/vectorize-io/hindsight
Hindsight: Agent Memory That Learns
https://github.com/vectorize-io/hindsight
GitHub
GitHub - vectorize-io/hindsight: Hindsight: Agent Memory That Learns
Hindsight: Agent Memory That Learns. Contribute to vectorize-io/hindsight development by creating an account on GitHub.
Building a Navier-Stokes Solver in Python from Scratch: Simulating Airflow
A hands-on guide to implementing CFD with NumPy, from discretization to airflow simulation around a bird's wing
https://towardsdatascience.com/building-a-navier-stokes-solver-in-python-from-scratch-simulating-airflow/
A hands-on guide to implementing CFD with NumPy, from discretization to airflow simulation around a bird's wing
https://towardsdatascience.com/building-a-navier-stokes-solver-in-python-from-scratch-simulating-airflow/
Towards Data Science
Building a Navier-Stokes Solver in Python from Scratch: Simulating Airflow | Towards Data Science
A hands-on guide to implementing CFD with NumPy, from discretization to airflow simulation around a bird's wing
django-modern-rest
Modern REST framework for Django with types and async support!
https://github.com/wemake-services/django-modern-rest
Modern REST framework for Django with types and async support!
https://github.com/wemake-services/django-modern-rest
GitHub
GitHub - wemake-services/django-modern-rest: Modern REST framework for Django with types and async support!
Modern REST framework for Django with types and async support! - wemake-services/django-modern-rest
Autograd and Mutation
How does PyTorch autograd deal with mutation? In particular, what happens when a mutation occurs on a view, which aliases with some other tensor? In 2017, Sam Gross implemented support for in-place operations on views, but the details of which have never been described in plain English… until now.
https://blog.ezyang.com/2026/03/autograd-and-mutation/
How does PyTorch autograd deal with mutation? In particular, what happens when a mutation occurs on a view, which aliases with some other tensor? In 2017, Sam Gross implemented support for in-place operations on views, but the details of which have never been described in plain English… until now.
https://blog.ezyang.com/2026/03/autograd-and-mutation/
From zero to a RAG system: successes and failures
Building a production RAG system is far more about data pipelines, indexing strategy, and infrastructure tradeoffs than model choice, with most failures coming from scaling, retrieval quality, and compute constraints. The key lesson is that RAG success depends on iterative engineering and system design discipline, not just plugging in an LLM, with real-world performance shaped by bottlen...
https://en.andros.dev/blog/aa31d744/from-zero-to-a-rag-system-successes-and-failures/
Building a production RAG system is far more about data pipelines, indexing strategy, and infrastructure tradeoffs than model choice, with most failures coming from scaling, retrieval quality, and compute constraints. The key lesson is that RAG success depends on iterative engineering and system design discipline, not just plugging in an LLM, with real-world performance shaped by bottlen...
https://en.andros.dev/blog/aa31d744/from-zero-to-a-rag-system-successes-and-failures/
en.andros.dev
From zero to a RAG system: successes and failures | Andros Fenollosa
A few months ago I was tasked with creating an internal tool for the company's engineers: a Chat that used a local LLM. Nothing extraordinary so far.