Orcha - Procesamiento Masivo Paralelo - MPP y Diseño de APIs
Explora Orcha, una herramienta de orquestación para paralelizar pruebas de forma masiva, optimizando recursos y reduciendo tiempos de ejecución en entornos de desarrollo complejos.
Python Linters at Scale
Explore scaling Python linters for large codebases, improving developer experience, and automating fixes. Learn strategies for consistent configurations, faster runtimes, and effective observability.
The CPU in Your Browser - WebAssembly Demystified
Explore WebAssembly's role in browser-based Python, its strengths, limitations, and future potential. Dive into technical details relevant to Python developers, including WASI, dynamic linking, and language interoperability.
XGBoost para clasificación - construyendo modelos precisos y eficientes
Aprende a utilizar XGBoost para crear modelos de clasificación precisos y eficientes, explorando conceptos básicos, técnicas de construcción y evaluación, y ventajas clave de esta poderosa herramienta.
Algorithmic Ideas, Engineering Tricks, and Trivia Behind CPython's New Sorting Algorithm
Explore the evolution of CPython's sorting algorithm, from Quicksort to Timsort and beyond. Discover algorithmic insights, engineering tricks, and historical anecdotes behind Python's fast list sorting.
Rethinking Objects
Explore the evolution of Object-Oriented programming, comparing traditional concepts with functional approaches and examining the enduring value of objects in library design.
How Memory Profilers Work
Explore memory profilers in Python: types, allocation patterns, and effective usage for optimizing large-scale applications and diagnosing memory issues.
Catching Tensor Shape Errors without Running Your Code
Discover how to catch tensor shape mismatches in ML code using shape types and type checking, improving debugging efficiency and code understanding without execution.
A Per-Interpreter GIL - Concurrency and Parallelism with Subinterpreters
Explore Python 3.12's new solution for concurrent code and multi-core computing. Learn about per-interpreter GIL and subinterpreters to simplify concurrency and boost performance.
Reproducible Molecular Simulations with Python
Explore molecular dynamics simulations using Python's scientific ecosystem, focusing on OpenMM and its tools. Learn how AI and machine learning are revolutionizing this field.
Transforming a Jupyter Notebook into a Reproducible Pipeline for ML Experiments
Learn to transform Jupyter Notebooks into reproducible ML pipelines using Git and DVC. Explore techniques for experiment tracking, modularization, and result comparison in a text2image project with Stable Diffusion.
Consistency and Isolation for Python Programmers
Explore database isolation levels and consistency in distributed systems. Understand tradeoffs between anomalies, parallelism, and latency using Python simulations. Make informed decisions for confident database usage.
Next Level Machine Learning with TinyML and Python
Explore TinyML: machine learning on microcontrollers. Learn about hardware options, frameworks, and real-world applications in agriculture, health, ecology, and more using Python for embedded systems.
Working Around the GIL with Asyncio
Explore asyncio and shared memory techniques to overcome GIL limitations, enhancing CPU-intensive data processing performance across macOS and Windows Subsystem for Linux.
Pythonic Functional - Itertools for Your Data Challenges
Explore Python's functional programming capabilities for data challenges, focusing on itertools, functools, and map-reduce patterns through interactive Advent of Code puzzles.
Generators, Coroutines and Nanoservices
Explore generators, coroutines, and nanoservices in Python. Learn lesser-known aspects like the "send" method and "yield from" syntax. Discover practical applications and when to use these powerful features in your code.
Ergonomic Codesigning for the Python Ecosystem with Sigstore
Explore Sigstore's integration into Python packaging, covering cryptographic fundamentals, security models, and the benefits of codesigning without long-term key material for developers and users.
Improving Debuggability of Complex Asyncio Applications
Explore advanced debugging techniques for complex asyncio applications, focusing on observability and reproducibility in production environments using aiomonitor-ng.
Unit Testing con Pytest
Aprende a escribir pruebas unitarias efectivas con pytest, incluyendo buenas prácticas, mocks y características avanzadas para mejorar la calidad del código.
Salvemos los pingüinos con el green computing
Descubre el green computing y su impacto ambiental. Aprende estrategias para reducir la huella ecológica en data centers y programación con Python, contribuyendo a un futuro digital más sostenible.
Charlas: Resolviendo crimenes con Python mediante el Procesamiento del Lenguaje Natural (NLP)
Descubre cómo el procesamiento del lenguaje natural y el aprendizaje automático con Python ayudan a resolver crímenes como el grooming, agilizando el análisis forense de conversaciones digitales.