Machine Learning Under Test
Explore testing strategies for machine learning algorithms, focusing on code quality, domain-specific challenges, and practical implementation techniques for more robust and reliable ML models.
Faking It - The Art of Testing Using Verified Fakes
Explore the concept of verified fakes in software testing, their benefits, and implementation techniques. Learn how to create reliable test environments and improve code quality.
From Basic Distance Search to a Complex Multi Criteria Search
Explore advanced Elasticsearch techniques for complex multi-criteria searches, progressing from basic distance queries to production-ready implementations like Airbnb's, using decay functions and custom backends.
Python & Internet of Things
Explore Python's role in IoT, from powering embedded hardware to building end-to-end products. Learn about the possibilities and practical applications in this emerging field.
How You Can Benefit from Type Hints
Explore the benefits of Python type hints for improved code readability, documentation, and tool support. Learn practical examples and best practices for implementing type annotations in your projects.
Activity Map from Space - Supporting Mine Clearance with Python
Satellite image processing with Python to detect ground activities and create maps for efficient UXO removal in minefields, using numpy, scipy, gdal, and IPython Notebook.
A Deep Look at Logging
Explore systematic logging in Python: implementation, setup, endpoints, data protection, performance, and best practices for structured and efficient logging in production systems.
Distributed Locks with Python and Redis
Learn to implement distributed locks using Python and Redis for concurrent programming in distributed systems, with insights from building a modern contact center.
It's Dangerous To Go Alone, Take This - The Power of a Community
Inspiring keynote exploring the power of community in overcoming tech challenges. Follows a young girl's journey, emphasizing curiosity, courage, and collaboration in achieving goals.
Big Data with Python and Hadoop
Introduction to big data processing using Apache Hadoop and Python. Explores Hadoop concepts, infrastructure, Python implementations, and available libraries for efficient big data handling and job acceleration.
What It's Really Like Building RESTful APIs with Django
Explore real-world experiences and lessons learned in building modern RESTful APIs with Django and Django REST framework, focusing on design decisions, best practices, and practical implementation tips.
TDD - The Why, the How and the When Not
Explore the benefits, challenges, and best practices of Test-Driven Development (TDD) in Python, including when it may be ineffective or counterproductive.
FOSS DOCS 101 - Keep It Simple, Present
Learn essential principles of technical communication for open-source projects, covering tone, style, process management, structure, and contribution workflows to improve documentation and user experience.
12 Years of Pylint - Or How I Learned to Stop Worrying About Bugs
Explore Pylint's powerful static analysis capabilities for Python, from style checking to advanced bug detection and code understanding, with insights on its inner workings and future developments.
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…
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.
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.
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.
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.
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.
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.