Ideas worth exploring.

Cómo planificar y ejecutar una prueba de hipótesis con dos proporciones: hipótesis, supuestos, valor p, potencia e intervalos para evaluar una mejora sin confundir significancia con utilidad.

Le cas d'école des 5 Pourquoi, les moucherons du Jefferson Memorial, confronté aux archives ; deux postmortems réels, GitLab et AWS ; l'arbre des causes de l'INRS ; des règles pour savoir quand s'arrêter, et un script qui vérifie une analyse.

Appliquer le PDCA à un projet d’intelligence artificielle : diagnostic, hypothèse, pilote, indicateurs et décision. Un cas de support montre pourquoi un gain de temps peut cacher une dégradation du service.

Le 5W2H, ou QQOQCCP, oblige chaque action d'un plan à dire quoi, pourquoi, où, quand, qui, comment et combien. L'origine des questions, les deux usages de la grille, les trois sens du pourquoi, un script qui vérifie un plan, et ce que la grille ne fait pas.

A raw ASGI app traced under Uvicorn: what scope, receive and send carry, how a request body arrives in pieces, how the app notices a client leave, how a WebSocket pushes, and why wrapped WSGI code ran one request at a time.

Mesurer le retour sur investissement d’un produit ou service logiciel : coûts, marge, temps libéré et attribution des gains. Un cas chiffré et un simulateur montrent les hypothèses qui changent la décision.

Shannon's definition of perfect secrecy, the one-time pad and the theorems that set its price, with every hypothesis stated. Then Kerckhoffs' principle, and what Venona shows about breaking a cipher that cannot be broken.

Análisis descriptivo, predictivo, diagnóstico y prescriptivo aplicados a un mismo problema: qué pregunta responde cada fase, qué datos necesita, cómo se usan y por qué existen dos formas de ordenarlas.

Cómo tratar los supuestos de seguridad como hipótesis falsables: el ciclo del método científico en el trabajo diario, sus límites y un registro de premisas para convertir creencias en pruebas repetibles.

Descriptive statistics summarizes the data you have. Inferential statistics uses a sample to estimate what you do not have. One seven-number sample shows where the first ends and the second begins.

An exploration of essential algorithms including Karatsuba multiplication, binary search and sorting algorithms, with a link to graph traversal—plus Python implementations and complexity analysis.

An introduction to computer vision and image processing. From spatial domain operations to frequency transforms, with practical Python examples using OpenCV.

Learn how dynamic programming works, when to use it, and how to model solutions using top-down memoization and bottom-up tabulation.

Conceptos fundamentales de economía: transacciones, oferta y demanda, crédito, ciclos económicos, y más. Una guía práctica para entender cómo funciona la economía.

Ocho indicadores económicos (PIB, inflación, desempleo, balanza comercial, tasa de interés, confianza del consumidor, deuda y tipo de cambio): qué miden, cómo se calculan y por qué ninguno cuenta solo la historia completa.

Lessons from building a remote MCP server in Python. Challenges with stateful sessions, input validation, scoped tool access, and authorization in horizontally scaled production environments.

The five SOLID design principles applied to Python. Practical examples of SRP, OCP, LSP, ISP, and DIP to write cleaner, more maintainable code.

The time value of money explained: compound interest, present and future value, annuities, and net present value. With formulas, worked examples, a chart, and Python code.

JSON-RPC is a stateless, light-weight remote procedure call (RPC) protocol

A practical reference for the git commands I use the most. From stash tricks and interactive rebase to worktrees, bisect, and recovery with reflog.

Comprehensive guide comparing WSGI and ASGI protocols in Python web development. Learn key differences, implementation examples, and when to use each protocol for optimal web application performance.

Un résumé des livres que j'ai lus et des choses que j'ai apprises en 2024.

Understanding concurrency, parallelism, and multithreading. How threads share memory, why concurrency matters for performance, and practical patterns with async Python.

A practical introduction to functional programming in Python: pure functions, immutability, composition, and common patterns.

Exploring duck typing, Abstract Base Classes, Protocols, and caching decorators. The features that make Python flexible and expressive beyond the basics.

How to isolate project dependencies with virtual environments. Creating, activating, freezing requirements, and packaging Python projects with Docker.

A beginner-friendly guide to the command line. What shells, terminals, and commands are, plus essential operations for navigating and managing files.

Python is a great language for beginners and experts alike. Let's explore the basics of Python. From modules, packages, scope, and more. Let's dive in!