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From a single neuron to transformer-based LLMs in production — the deep-learning, NLP, and shipping capstone of the Data Science, End to End series, derived from first principles in Python.
From your first predictive model to the ensembles that win competitions — the machine-learning core of the Data Science, End to End series, built from first principles in clean, idiomatic Python.
A hands-on guide to mitmproxy 12: trust the CA, filter, modify and replay traffic, write Python addons, choose the right proxy mode, intercept mobile apps past certificate pinning, and automate API security tests. Every output shown is a real run against a lab API.
Go from an empty window to a published open-source platformer. Python at Play teaches you to build, polish, test, and share real games with Python and pygame-ce, one runnable project at a time.
Kill an AI agent mid-refund and the retry bills every model call again and refunds twice. This book crashes one agent on purpose and recovers it on DBOS, Temporal, Restate and Prefect, with the real output of every run.
Learn Python the way it’s actually used at work. Start from zero, automate real office tasks, build APIs and data reports, and master the habits that turn a beginner into a hireable professional.
Your LLM pipeline passed every check, and a fallback model still served 50 of its 71 successful calls. This case study follows one real multi-stage pipeline through its failures and shows how to make each stage traceable, attributable and honestly measured.
Decision models answer a typed question with a calibrated probability in one forward pass: no token stream, no parsing, no values outside your schema. This guide explains TypeSafe's Jev and the open "JEV-like" family, then shows how to choose, run, serve, fine-tune and evaluate local variants on your own hardware.
Polars 2.0 changed defaults that don't raise errors: lazy queries now stream, and joins no longer keep row order. This short guide shows exactly what breaks when you upgrade from 1.x, with every example run under both 1.44.2 and 2.0.0 and the real output printed side by side.
A 3-day path for people who want to code with AI but get stuck before the first line: Python basics in the browser, then a real setup on your own computer, then a page with a data table published on GitHub Pages. No memorizing. You learn to read, run, and check the code the AI writes.
Learn pandas, the most widely used data analysis library.
Pelajari Python dari dasar hingga praktik nyata dengan contoh yang jelas tentang pemrograman, debugging, struktur kode, dan pengembangan perangkat lunak modern.
تعلّم بايثون من الأساسيات إلى التطبيقات العملية، وابنِ مهارات برمجية يمكنك استخدامها في مشروعات حقيقية.
Apprenez Python pas à pas, maîtrisez les concepts essentiels et transformez vos idées en projets concrets grâce à une approche pratique et progressive.