EuroPython Conference Courses

Beyond the Basics with Elasticsearch

Explore advanced Elasticsearch scenarios: trend detection using aggregation framework, percolator for reversed search, and geo-enabled search with relevancy for non-trivial data analysis.

• YouTube
• 37 minutes
• On-Demand
• Conference Talk

NumPy - Vectorize Your Brain

Learn essential NumPy idioms for efficient scientific computing in Python, covering array creation, broadcasting, universal functions, aggregations, slicing, and indexing to boost numerical computation speed.

• YouTube
• 34 minutes
• On-Demand
• Conference Talk

Static Type-Checking Is Dead, Long Live Static Type-Checking in Python

Explore static type-checking in Python, including PEP 484, type hints, and libraries like Hypothesis. Gain insights into type systems and their impact on code robustness.

• YouTube
• 24 minutes
• On-Demand
• Conference Talk

Numba - A JIT Compiler for Fast Numerical Code

Explore Numba, a JIT compiler for Python that accelerates numerical algorithms beyond Numpy capabilities, with CPU and GPU support. Learn its use cases, performance expectations, and inner workings.

• YouTube
• 30 minutes
• On-Demand
• Conference Talk

Writing Quality Code

Learn techniques and tools for improving code quality in Python, focusing on readability, design, testing, and documentation for easier maintenance and extension.

• YouTube
• 23 minutes
• On-Demand
• Conference Talk

Metrics-Driven Development

Discover how Spotify's team improved performance through metrics-driven development, focusing on key indicators and establishing feedback loops for continuous improvement.

• YouTube
• 24 minutes
• On-Demand
• Conference Talk

Building Nice Command Line Interfaces - A Look Beyond the Stdlib

Explore popular Python libraries for creating user-friendly command-line interfaces, comparing their concepts and features. Learn to build and test CLIs beyond standard library solutions.

• YouTube
• 29 minutes
• On-Demand
• Conference Talk

Everyone Can Do Data Science in Python

Learn essential data science techniques using Python, numpy, pandas, and sklearn. Explore real-world use cases with code snippets and live demos in IPython notebooks.

• YouTube
• 43 minutes
• On-Demand
• Conference Talk

PySpark - Data Processing in Python on Top of Apache Spark

Learn PySpark for large-scale data processing with Python on Apache Spark. Covers RDDs, DataFrame API, transformations, actions, and data sources. Ideal for those seeking efficient big data analysis techniques.

• YouTube
• 24 minutes
• On-Demand
• Conference Talk

RinohType - A Document Processor Inspired by LaTeX

Explore RinohType, a Python-based document processor inspired by LaTeX. Learn its features, design goals, and how to create PDFs from reStructuredText, with insights into its layout engine and style system.

• YouTube
• 38 minutes
• On-Demand
• Conference Talk

How-To - Build a Local Python Community

Practical guide on starting and growing a local Python community, covering resources, expectations, and strategies for success. Ideal for enthusiasts wanting to foster a tech community.

• YouTube
• 25 minutes
• On-Demand
• Conference Talk

The GIL is Dead - PyPy-STM

Explore PyPy's Software Transactional Memory, enabling GIL-free Python execution on multiple cores. Learn to identify and resolve STM conflicts for improved performance in large codebases.

• YouTube
• 28 minutes
• On-Demand
• Conference Talk

gitfs - Building a Filesystem in Python

Explore building a FUSE filesystem for Git repositories, enabling automatic commits and history snapshots. Learn crucial aspects, implementation steps, and testing methods.

• YouTube
• 30 minutes
• On-Demand
• Conference Talk

Asyncio Stack & React.js or Development on the Edge

Explore modern web development with asyncio in Python and React.js in JavaScript. Learn about aiohttp, ES6 features, and Flux architecture for building efficient, scalable applications.

• YouTube
• 40 minutes
• On-Demand
• Conference Talk

Sphinx Autodoc - Automated API Documentation

Learn to automate API documentation using Sphinx autodoc and related extensions. Discover techniques for efficient docstring writing, automated module listing, coverage checking, and doctest verification to create comprehensive Python library documentati…

• YouTube
• 36 minutes
• On-Demand
• Conference Talk