Reproducible and Maintainable Data Science Code with Kedro
Discover how Kedro, an open-source Python framework, transforms experimental data science code into production-ready ML pipelines, emphasizing reproducibility, maintainability, and modularity.
Creating Extensible Workflows with Off-Label Use of Python
Discover how to create flexible yet constrained workflow systems using Python's type annotations, coroutines, and dataclasses for extensible APIs in data processing, ETL, CI/CD, and more.
CHARLAS / Luis Conejo / GitHub Classroom: Una herramienta simple para la enseñanza de Python
Descubre cómo GitHub Classroom mejora la enseñanza de Python, sus ventajas sobre repositorios únicos y su impacto positivo en el aprendizaje de los estudiantes.
Data Processing on Ray
Explore Ray's architectural changes for scaling Python applications in machine learning and data processing, addressing challenges in large-scale workloads.
From NumPy to PyTorch - A Story of API Compatibility
Explore PyTorch's approach to NumPy compatibility, its importance, challenges, and necessary divergences in this insightful discussion on API design and data science workflows.
From 3 to 300 FPS - NES Emulation in Python and Cython
Explore NES emulation in Python, from slow beginnings to 300+ fps using Cython. Learn optimization techniques and challenges in achieving real-time performance.
El Zen de Python en español
Explorando los principios filosóficos del "Zen de Python" en español, contextualizando cada concepto para una comprensión profunda del lenguaje y su diseño.
Generate Buzz with Realtime FM Audio Synthesis
Explore realtime FM audio synthesis in Python, covering signal flow, generators, envelopes, and event loops to create dynamic, multi-note synthesizer sounds.
Effective Data Visualization
Mastering data visualization: from choosing plots to preprocessing datasets. Learn to effectively communicate data using Python libraries like seaborn, matplotlib, and plotly. Covers density estimation, dimensionality reduction, and interactive plotting.
Introduction to Decorators - Power UP Your Python Code
Explore Python decorators: learn how functions work as first-class objects, create custom decorators, and enhance your code's capabilities. Boost your efficiency as a Python programmer.
A Hands-On Introduction to Multi-Objective Optimization
Hands-on Python tutorial exploring multi-objective optimization using Pareto Fronts. Learn to balance conflicting objectives like quality and cost, with practical applications in various fields including supply chain and therapeutics development.
Hooking into the Import System
Explore Python's import system, learn to create custom import hooks, and discover innovative ways to load modules from databases and automatically reload modified files.
Shipping Python Extensions in Rust Two Million Times a Day
Explore using Rust in Python packages: challenges, successes, and implications. Learn about adopting Rust in pyca/cryptography, performance results, and architectural improvements.
Writing Performant Code for Modern Python Interpreters
Explore modern Python optimization techniques, learn new performance guidelines, and discover how to leverage language improvements for faster code execution.
Serialization - More Than Pickling
Explore alternatives to Python's pickle for object serialization, comparing efficiency and security considerations for different methods.
Writing Functional Code in Python
Explore functional programming concepts and their application in Python, enhancing code quality and efficiency through practical examples and key principles.
How to Change Python - While It's Running
Explore live Python development techniques, enabling real-time code changes during execution. Learn about Jurigged and the possibilities of runtime flexibility in Python programming.
Python Oddities Explained
Explore Python's unique features and quirks, reshaping your mental model to better understand objects, scope, and variables in this mind-bending talk.
Open Source on Easy Mode
Streamline open source project maintenance with automation tools and best practices for packaging, testing, CI/CD, documentation, and community engagement. Focus on the fun parts of development.
Enhancing Code Collaboration with Conflict Free Replicated Data Types
Explore conflict-free replicated data types (CRDTs) and their potential to enhance Jupyter notebooks, enabling real-time collaboration, synchronous editing, and improved version control in data science workflows.
Building a Binary Extension
Learn to build Python binary extensions using modern tools like pybind11, scikit-build, and cibuildwheel for improved performance and functionality across platforms.