EuroPython Conference Courses

How to Train an Image Classifier Using PyTorch

Learn to build an image classifier using PyTorch in this hands-on tutorial. Covers data preparation, model selection, training techniques, and evaluation, with practical tips and code examples for immediate implementation.

• YouTube
• 42 minutes
• Self-Paced
• Conference Talk

Distributed Multi-GPU Computing with Dask, CuPy and RAPIDS

Explore distributed multi-GPU computing using Dask, CuPy, and RAPIDS. Learn to leverage GPU acceleration and distributed systems for faster, more efficient data processing and analysis.

• YouTube
• 30 minutes
• Self-Paced
• Conference Talk

Don't Do This at Work

Recreación de un taller de programación para niños, explorando técnicas y herramientas de Python poco conocidas, cuestionando procesos de aprendizaje y demostrando capacidades sorprendentes del módulo turtle.

• YouTube
• 46 minutes
• Self-Paced
• Conference Talk

The Dos and Don'ts of Task Queues

Explore task queue implementation challenges and solutions for processing high-volume requests. Learn from real-world experiences to make informed choices when experimenting with new tools in microservice architectures.

• YouTube
• 29 minutes
• Self-Paced
• Conference Talk

Bioinformatics Pipeline for Revealing Tumour Heterogeneity

Explore a Python-based bioinformatics pipeline for analyzing single-cell DNA sequencing data to reveal tumor heterogeneity, aiding in personalized cancer treatment decisions.

• YouTube
• 28 minutes
• Self-Paced
• Conference Talk

Boosting Research with Machine Learning

Explore machine learning applications in research, from neuron recognition to EEG-based movement prediction. Learn Python techniques for data preparation and analysis using various ML methods.

• YouTube
• 30 minutes
• Self-Paced
• Conference Talk

Dash - Interactive Data Visualization Web Apps with No Javascript

Learn to create interactive data visualization web apps using Dash, a Python framework that requires no JavaScript. Discover best practices, common pitfalls, and when to transition to traditional web development.

• YouTube
• 32 minutes
• Self-Paced
• Conference Talk

Using Python to Teach Computational Finance

Explore computational finance using Python and Probo package. Learn derivative pricing, Monte Carlo simulation, and dynamic hedging through hands-on demos and Jupyter notebooks.

• YouTube
• 27 minutes
• Self-Paced
• Conference Talk

PEP Yourself - 10 PEPs You Should Pay Attention To

Explore 10 essential Python Enhancement Proposals (PEPs) and their impact on everyday coding, from style guides to advanced features like data classes and assignment expressions.

• YouTube
• 26 minutes
• Self-Paced
• Conference Talk

Publish a Perfect Python Package on PyPI

Learn to create and publish a Python package on PyPI, covering project structure, setup files, testing, documentation, and best practices for successful distribution and maintenance.

• YouTube
• 30 minutes
• Self-Paced
• Conference Talk

Unleash the Power of C++ in Python

Explore techniques for integrating C++ libraries with Python, enhancing performance while maintaining simplicity. Learn about language bindings and the Qt project's approach using Shiboken.

• YouTube
• 29 minutes
• Self-Paced
• Conference Talk

Python's Parallel Programming Possibilities - 4 Levels of Concurrency

Explore Python's parallel programming options: multiple machines, processes, threads, and green threads. Learn implementation techniques, potential pitfalls, and practical examples for each concurrency level.

• YouTube
• 32 minutes
• Self-Paced
• Conference Talk

Geospatial Analysis Using Python and JupyterHub

Explore geospatial data processing and visualization using Python, covering vector and raster analysis, deep learning applications, and high-performance computing techniques for efficient spatial data handling.

• YouTube
• 30 minutes
• Self-Paced
• Conference Talk

Accelerate Your Deep Learning Inferencing with the Intel DL Boost Technology

Explore Intel® DL Boost technology for efficient deep learning inference acceleration using low-precision INT8 and VNNI instructions on 2nd gen Intel Xeon Scalable processors.

• YouTube
• 29 minutes
• Self-Paced
• Conference Talk

Python for Realtime Audio Processing in a Live Music Context

Explore real-time audio processing for live music using Python, leveraging the pyo module to augment acoustic instruments with digital capabilities and create unique sonic experiences.

• YouTube
• 43 minutes
• Self-Paced
• Conference Talk