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This is a copy of an email I sent at work. I'm not sure I should be making noise about this here, feedback welcome. This is your bi-yearly reminder that time is changing soon! October 25th in Europe, November 1st in…
minimal problem statement: profiling a module or script muddies the profile with import-time computation. it would be nice to profile just a function open problems: what to put in sys.argv[0]? (this is apparently…
Three moves to decode the hype The post Everyone Is Selling AI at You — Here’s How to Keep Your Judgement appeared first on Towards Data Science.
AI agents can now write CUDA kernels that outperform PyTorch—but proving those speedups are real is the harder problem. I put them to the test on an NVIDIA DGX Spark and found that benchmark design matters just as much…
What is Meta Muse? Learn what Meta's AI agent can do, what it costs, how it handles your data, and where Python fits in. No coding required.
As a junior developer, you may have more hands-on AI experience than many busy senior developers. Here's how you can use your AI knowledge to your advantage.
A diffusion head for probabilistic time series forecasting: why a forecast can get the mean and the variance right and still describe a future that never happens, and how to fix it. The post Your Model's MSE Is Lying to…
Test your understanding of Boto3 and AWS S3 in Python. Create buckets, upload objects, configure storage and versioning, and clean up safely.
An exploration of the new data science roles emerging after the Large Language Model explosion. The post AI Engineers, Applied Scientists, Forward Deployed Engineers: Let's Unpack. appeared first on Towards Data Science.
We are no longer accepting new security reports for the Django project through HackerOne. Existing reports submitted through HackerOne will remain open and continue to be handled by the Django Security Team. If you…
Monte Carlo simulations (or methods) is the technique of applying randomness and the Law of large numbers to the solution of various scientific and engineering problems. One of its first documented uses was by Stanislaw…
A Python research framework and terminal-based IDE (RuleFlow Studio) for modeling, evolving, and analyzing discrete complex systems like ECA and SSS.
The article speeds up binary search by batching independent searches with NumPy’s vectorized operations, then reformulates the algorithm to use only O(1) extra memory. After porting it to C++, the approach achieves up…
Learn AI agents from first principles to production. Zero mandatory dependencies, pure standard Python 3.11+, and no magic frameworks.
NumPy is being ported toward Python’s Limited API so it could eventually ship abi3 wheels that work across multiple Python versions, reducing the large per-version wheel matrix and easing support for new Python…
The author outlines an end-to-end ML project evaluating whether TypeSafe’s Jev, accessed through OpenRouter, and smaller local models can effectively filter political fundraising emails from a personal inbox. He…
A Visual Guide to Bag-of-Words, RNNs, CNNs, Transformers, Decision Models with Jev-like APIs, and Calibration.
A boilerplate for CMS websites developed in Wagtail to save you tens of hours of work.
This tutorial demonstrates how to build a custom AI agentic harness in pure Python by progressively integrating LLM communication, tool calling, and Model Context Protocol (MCP) support. It covers the full development…
The post explains how the VEX shell AI agent reduced its cold start time from about 4 seconds to ~2 seconds by bypassing heavy initialization for quick CLI commands and deferring expensive imports until they are needed.…
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