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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 Python 3.10's structural pattern matching: its history, design, implementation, and future. Learn powerful object-oriented approaches and practical applications for this functional programming feature.
Explore Linux features through Python APIs, including processes, named pipes, fork, exec, inodes, and signals. Enhance your understanding of OS capabilities using Python's standard library.
Discover best practices for Python environment setup, including proper installation, version management with pyenv, and essential add-ons for repeatable and efficient development workflows.
Explore best practices for Python continuous integration, focusing on timely and accurate developer feedback across various CI systems. Learn to optimize configurations for speed and precision.
Discover how Bloomberg successfully integrated Python across its enterprise, focusing on community-driven initiatives, technical support, and cultural shifts to promote widespread adoption.
Explore the complexities of implementing authorization in applications, covering enforcement, decision architecture, and modeling. Learn approaches and tradeoffs for each area.
Discover Python's powerful introspection capabilities to analyze objects and running code, with practical examples on retrieving and interpreting hidden information.
Explore how architects use Python to enhance building design, from geometry editing to algorithmic design, data sorting, and software integration, unlocking new possibilities in architecture.
Explore building a customizable ML experiment tracking system using DVC for versioning and Streamlit for data exploration, focusing on practical implementation with Python APIs.
Comprehensive exploration of Protocol Buffers, covering serialization, performance, encoding, and practical applications. Ideal for developers seeking to optimize data exchange in distributed systems.
Explore faster DataFrame storage using NumPy's NPY format, outperforming Parquet in read/write times while supporting all DataFrame characteristics and NumPy dtypes.
Explore how PyCharm enhances Django development with advanced tooling, improving navigation, refactoring, and testing. Learn to boost productivity and create a joyful development experience for fullstack and API web projects.
Modernize legacy Flask applications using code quality tools and best practices. Learn to set up workflows that reduce technical debt and ensure sustainable codebases over time.
Bloomberg engineers discuss their engagement in Python's open source ecosystem and introduce new troubleshooting tools, showcasing the company's contributions to the Python community.
Explore PyTorch's innovative Python compiler, designed to enhance AI/ML performance while maintaining Python roots. Learn about the development process, challenges, and significant performance improvements achieved.
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