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Explore all talks and presentations from PyCon US. Dive deep into the latest insights, research, and trends from the world's leading experts.
Explore feature engineering techniques for data visualization, automation, and machine learning. Learn to create and select features from various data types using encodings, vectorization, and date manipulation.
Learn to create interactive GUIs and web apps using streamlit in Python. Hands-on exercises cover basics, data visualization, custom layouts, and integration with popular libraries for effective data science projects.
Learn to create serverless Python web apps using PyScript. Explore project setup, data handling, DOM manipulation, JavaScript integration, and optimization techniques for browser-based Python development.
Aprenda a criar um pacote Python usando programação literária, combinando explicações em linguagem natural com código. Explore ferramentas como Jupyter Notebooks e Nbdev para desenvolvimento eficiente e documentação integrada.
Comprehensive guide to object-oriented programming in Python, covering design, inheritance, special methods, and converting procedural code to OOP through practical examples.
Learn to enhance Python functions using decorators. Explore their inner workings, create custom decorators, and discover how they simplify code and improve readability in popular libraries and frameworks.
Discover how to optimize Python code performance using Numba, a JIT compiler for numerical calculations. Learn when and how to apply Numba effectively to speed up math-heavy code in data science and development projects.
Learn to create, generate, host, and automate up-to-date API documentation using Sphinx and GitHub Actions, integrating it seamlessly into your software development lifecycle.
Learn to apply Python skills to pressing environmental issues, using tools like numpy, pandas, and matplotlib to analyze deforestation, wildlife trade, and carbon pollution data.
Learn to instrument, monitor, and troubleshoot Python applications using OpenTelemetry. Gain hands-on experience with traces, metrics, and logs for improved observability and faster issue resolution.
Learn to create CLI apps that cater to both human users and automated tools. Explore Command Line Interface Guidelines and build a PyCon talk catalogue using Python, typer, and Rich.
Learn to create a FastAPI application that serves real-time predictions from a trained scikit-learn model, bridging the gap between model development and production deployment.
Explore Polars, a fast data manipulation library, through hands-on exercises with real-world datasets. Learn key operations, compare with Pandas, and optimize data pipelines.
Explore satellite imagery and Python tools for geospatial analysis to identify and analyze coastal erosion, addressing a critical environmental and humanitarian challenge.
Learn to create and publish a full-fledged Python package using conda, covering packaging concepts, the conda ecosystem, and hands-on preparation for submission to conda-forge.
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