
Explore Chopsticks, a Python tool for remote code execution over SSH, enabling parallel processing across hosts without deployment. Learn its API, clever tricks, and versatile applications.

Discover Booking.com's approach to deploying deep learning models in production, covering training, automated retraining, deployment, and optimization for latency and throughput.

Découvrez les outils d'introspection Python pour identifier les générateurs, récupérer le code source des fonctions et obtenir leurs signatures. Explorez des cas d'utilisation pratiques chez Criteo.

Explore techniques for interpreting and debugging ML models using eli5 library. Learn to explain linear models, decision trees, ensembles, and classifiers, improving trust and quality in ML solutions.

Learn to orchestrate data processing pipelines using Apache Airflow. Discover how to define, manage, and extend workflows with Python code, creating resilient and efficient data processing systems.

Explore Deep Learning with Python and MXNet, including practical demonstrations on a Raspberry Pi for computer vision and natural language processing tasks.

Exploring diverse paths in Python programming, challenging myths about learning to code, and embracing the journey of becoming a "Python engineer" through personal experiences and insights.

Explore cloud-native Python in Kubernetes: containerization, scaling, logging, health checks, and monitoring. Learn to optimize applications for dynamic cloud environments and improve operational efficiency.

Discover how stream-oriented processing can revolutionize your approach to application development, offering natural service boundaries, flexible data schemas, and improved scalability.

Explore fixture factories for faster end-to-end tests in service-oriented architectures. Learn implementation techniques, pytest integration, and benefits like improved maintainability and parallel test execution.

Explore WebPush technology, its implementation at Mozilla using Python and microservices, and learn how to integrate it into web applications for enhanced user engagement.

Explore Python 3 type annotations: syntax, benefits, and practical applications. Learn to enhance code security, leverage popular libraries, and build custom extensions using type hints.

Explore Werkzeug, a lightweight Python HTTP/WSGI utility, for building flexible web applications. Learn how to create custom stacks beyond traditional frameworks for specialized needs.

Optimizing PostgreSQL queries for medium-sized datasets: strategies for efficient database design, query optimization, and maintenance to handle high-volume data and requests.

Explore NetworkX for optimization using flow networks, covering library basics, network flow concepts, and solving the project selection problem with practical examples.

Practical guide to achieving 80% accuracy in 3D object recognition using deep learning, covering data preparation, model optimization, and implementation strategies.

Explore PyTorch's dynamic computation graphs and Autograd package for efficient deep learning, with practical examples and insights into GPU processing and algorithmic differentiation.

Explore network visualization and automation using Python's tkinter library, covering graph drawing algorithms, GIS implementation, and automated script generation for network devices.

Discover techniques for rapid product iteration using Django Rest Framework, including architecture evolution, key decisions, and lessons learned from a year-long web platform development.

Explore FreeIPA's comprehensive identity management solution for authentication, authorization, and PKI. Learn installation, integration, and key features for centralized user management and security.

Explore the ethical implications of machine learning, examining bias in algorithms and its real-world consequences. Learn about cutting-edge research on counteracting bias and consider unanswered questions in AI morality.