We Need to Talk About Windows
Insider's look at building Python from source across platforms, focusing on Windows challenges and ActiveState's efforts to contribute to the Python community.
Stop Using Mocks - for a While
Explore alternatives to mocks in testing, focusing on design patterns and techniques for better code structure, maintainable tests, and a healthy test pyramid.
Magical NumPy with JAX
Explore JAX's NumPy-compatible API for performant numerical modeling and gradient-based optimization. Learn functional programming, deterministic random number generation, and neural network integration.
Practical Deep Learning for Data Scientists
Hands-on PyTorch and GPU Deep Learning tutorial for data scientists. Build common architectures, evaluate performance, and leverage compute resources effectively. Ideal for those with ML basics seeking practical DL experience.
Hands-On Regular Expressions in Python
Learn to create, understand, and effectively use regular expressions in Python for data validation, parsing, and normalization. Discover when and how to apply regex for optimal results.
Dashboards for All
Learn to create interactive dashboards using Python libraries like Bokeh and Panel. Explore data visualization techniques, analyze diverse datasets, and tell compelling stories through customized, user-friendly interfaces.
Python Packaging Demystified
Hands-on tutorial demystifying Python packaging, covering libraries and applications, build tools, distribution formats, and testing techniques for both beginners and experienced developers.
Using Declarative Configs for Maintainable Reproducible Code
Explore declarative configs for maintainable, reproducible code. Learn input formats, representations, deserialization, and type-safety. Discover strategies for evolving configs while preserving backwards compatibility.
What Are Quantum Computers, and How Can We Train Them in Python
Explore quantum computing in Python: access real quantum hardware, differentiate quantum programs, and integrate them into larger differentiable programs for optimization and training.
CI-CD 101
Hands-on introduction to CI/CD fundamentals using CircleCI. Learn core principles, build configuration, code commits, testing, and packaging through practical exercises.
No, Maybe and Close Enough - Using Probabilistic Data Structures in Python
Explore probabilistic data structures in Python for efficient counting and item recognition, focusing on Hyperloglog and Bloom Filter algorithms for fast, scalable solutions.
Statistical Typing - A Runtime Typing System for Data Science and Machine Learning
Statistical typing: A runtime typing system for data science and ML, extending primitive types to statistical data types. Enables multivariate schemas, generative data contracts, and easier data testing with pandera.
PyTesting the Limits of Machine Learning
Explore techniques and tools for testing machine learning components in Python, addressing challenges of nondeterminism and ensuring reliability in ML-driven applications.
More Fun With Hardware and CircuitPython - IoT, Wearables, and More
Explore advanced CircuitPython projects for IoT and wearables. Learn to choose devices, understand electronics basics, and add interactivity to hardware projects through exciting demos and real-world applications.
Large Scale Data Validation - with Spark and Dask
Explore data validation techniques for large-scale datasets using Spark and Dask. Learn to transition from single-machine to distributed computing, combining frameworks for efficient validation across partitions.
Your App Is Async So Take Advantage of It for Development
Explore how Python's async capabilities enable real-time app inspection, remote REPLs, and graphical visualizations for enhanced development and debugging experiences.
Dask-SQL - Empowering Pythonistas for Scalable End-to-End Data Engineering
Explore dask-sql for Python-based SQL data extraction from enterprise datalakes, enabling seamless integration with PyData tools for machine learning, analytics, and data transformation workflows.
Scalene - A High-Performance, High-Precision CPU+GPU+Memory Profiler for Python
Discover Scalene: a revolutionary Python profiler offering unparalleled speed and precision for CPU, GPU, and memory analysis, with unique features like GPU profiling and memory leak detection.
Cuándo Usar Extensiones Nativas en Rust - Rendimiento Accesible y Seguro
Explora el uso de extensiones nativas en Rust para mejorar el rendimiento de Python, ofreciendo seguridad y accesibilidad. Aprende cuándo implementarlas basado en la experiencia del proyecto Pants.
CHARLAS / María José Meneses / Restauración de imágenes multiespectrales con GAN
Método de restauración basado en GAN para imágenes multiespectrales con corrupciones aleatorias, generando resultados visualmente aceptables y preservando datos valiosos.
Restarting Pyjion - A General Purpose JIT for Python - Is It Worth It?
Explore the revival of Pyjion, a JIT compiler for CPython, and its potential for significant performance gains. Learn about design ideas, optimizations, and future prospects for Python JIT compilation.