When you process large datasets or build data pipelines in Python, writing clean and memory-efficient code is essential. Python's standard library includes a hidden gem — the itertools module — that provides powerful iterator-building tools to help you write faster, more readable, and memory-conscious code.
In this tutorial, you'll learn five indispensable itertools...
Claude CodeやCursorなどのAIエージェントは、プロジェクト直下の CLAUDE.md / .cursorrules / AGENTS.md をシステムプロンプト的に読み込む。これにより、エージェントが生成するコードのスタイルや禁止事項をリポジトリ単位で固定できる。
FastAPIプロジェクトで典型的に起きる問題は「エージェントが毎回異なる構造でエンドポイントを生成する」「依存性注入の書き方がバラバラになる」といったものだ。ルールファイルはその揺れを吸収する。
As data volumes grow from gigabytes to terabytes and eventually petabytes, a single database server often becomes a bottleneck. Storage limitations, CPU constraints, memory pressure, and network bandwidth can all impact performance. Scaling vertically by upgrading hardware helps only to a certain point. Beyond that, horizontal scaling becomes essential.
ClickHouse® is built with distrib...
First of all, why care? Compliance is a messy process. As Startups scale, it can be very very costly & a lot of existing tools don't give you the best bang for your buck, especially as a smaller team on AWS going through SOC 2 for the first time. I created something to fix that.
A ton of time for teams is spent perfecting SOC 2, trying to prove trust to their customers, unlock enter...
I recently published matten, a small Rust library for working with multidimensional arrays. This is the first of four short posts introducing it. This one is about why it exists.
Rust is a great language for numerical and data-oriented work. But starting that work — just getting to the point where yo...
Building a pure-frontend online formatter tool site seems straightforward: import a formatting library → call it in the browser.
In practice, three commonly-used libraries all failed in the browser.
During development, three popular libraries all broke in the browser: