
Introducción práctica a pytest para automatizar pruebas y reducir errores en producción, basada en un caso real de un sitio web internacional.

Explore parallel programming in Python using EFL, a deterministic tool for multi-core CPUs. Learn design patterns, compare code translations, and discover efficient parallelization techniques.

Explore gravitational wave detection using Python, focusing on data analysis methods and signal processing techniques used in the LIGO-Virgo collaboration's groundbreaking discovery.

Explore IoT architecture for a smart beer brewing machine, focusing on real-time data handling, message queues, and Python backend design for seamless user experience.

Explore how Python powers devices and systems for balancing electricity production and usage in the UK, from on-site monitoring to cloud-based infrastructure and real-time control.

Explore Go's basics, key concepts, and unique features compared to Python. Understand its rising popularity and determine if switching is right for you.

Explore SQLAlchemy's advanced features for data science, including Core API, Expression Language, and database migrations. Learn to scale relational models for handling billions of records efficiently.

Nao robotaren Choreographe programazio ingurunearen sarrera, Python erabiliz. Robotaren gorputz jarrera eta diskurtso naturaltasunean egindako aurrerapenak azaltzen dira.

Learn best practices for system testing microservices using pytest and docker-py. Discover how to write maintainable tests for large-scale online services, focusing on pre-launch quality assurance.

Learn principles for writing clean, maintainable Python code. Explore technical debt, refactoring, unit testing, and coding guidelines to improve code quality and readability in your projects.

Learn to build a scalable image processing pipeline using Python and AWS to handle millions of hotel images, covering data ingestion, quality control, and optimization.

Learn to build RESTful APIs with Flask and Flask-Restplus, covering request handling, data validation, serialization, and Swagger documentation for easy testing and maintenance.

Explore Python's iteration landscape, from basic loops to advanced coroutines. Learn comprehensions, generators, itertools, and functional programming concepts for more efficient and Pythonic code.

Explore dynamic code modification in Python, its pros and cons, real-world applications, and comparison with Ruby. Learn when monkey-patching is a valuable tool or potential pitfall.

Learn to handle GPS data in Python, from reading/writing tracks to visualizing on OpenStreetMap. Explore libraries, add elevation data, and understand algorithms like Douglas-Peucker and Kalman filters for track simplification and smoothing.

Explore deep learning with TensorFlow: compare Python ML libraries, create data flow graphs, and learn deployment strategies for production systems.

Explore rock music lyrics using data science techniques like web crawling, NoSQL, NLP, and visualization to uncover trends, themes, and correlations among legendary bands.

Learn to create Python microservices using Test-Driven Development. Explore service and contract testing with Docker and Swagger for robust, confident development in a microservices architecture.

Explore IoT server architecture using Python, MySQL, and Kivy for mobile apps. Learn about device registration, messaging, security, and database management in IoT environments.

Learn to scale microservices efficiently using Crossbar.io, an open-source application router. Explore distributed scaling techniques and participate in a live demo showcasing WAMP protocol implementation.

Explore how Python and Django can help researchers make their papers freely accessible, promoting Open Access and addressing challenges in academic publishing.