Testing Web Apps with Selenium
Learn to effectively test web applications using Selenium, overcoming common challenges and leveraging tools like webdriverwrapper for easier implementation and improved efficiency in automated browser testing.
So, I Have All These Docker Containers, Now What?
Explore Kubernetes for efficient container orchestration and cluster management. Learn to simplify deployment, scaling, and maintenance of Docker-based applications across multiple machines.
Stop Trying to Glue Your Services Together - Import Lymph
Discover lymph: a Python framework for effortless service development. Focus on functionality, not infrastructure, with pluggable service discovery and messaging. Simplify your microservices architecture and boost development speed.
Nameko for Microservices
Explore microservices architecture and Nameko framework for building scalable, independently deployable services with clean code and well-defined boundaries. Learn design principles and practical implementation.
Scaling MySQL with Python
Learn to scale MySQL using Python tools for replication, management, and failover. Discover how to create resilient configurations and implement high availability infrastructures with mysql-fabric.
Yak Shaving a Good Place to Eat Using Non Negative Matrix Factorization
Explore data handling techniques to analyze restaurant reviews, group users with similar tastes, and find personalized dining recommendations using non-negative matrix factorization.
Get Native with Cython
Explore Cython's power to speed up Python code and interface with C/C++. Learn about static typing, native code integration, and recent enhancements for fast, portable extensions.
Building a Multi-Purpose Platform for Bulk Data Using SQLAlchemy
Learn to build a scalable platform for processing bulk data across multiple business domains using SQLAlchemy, with insights on optimizing performance and maintaining flexibility.
Using Scikit-Learn's Interface for Turning Spaghetti Data Science into Maintainable Software
Learn to structure data science code using Scikit-Learn's estimator and meta-estimator interfaces. Discover how to transform spaghetti code into maintainable, testable, and reusable machine learning models.
New Trends in Storing Large Data Silos with Python
Explore emerging technologies for handling Big Data in Python, focusing on efficient storage solutions and leveraging modern architectures, with insights on future trends and practical examples.
To the Clouds - Why You Should Deploy to the Cloud Even If You Don't Want To
Explore cloud deployment benefits for Python services, including scalability and automated testing. Learn about service orchestration and flexible infrastructure management using Python.
Better Asynchronous Code with Tornado and Python 3
Explore asynchronous programming with Tornado and Python 3.4's asyncio module. Learn about coroutines, futures, and ioloop concepts for efficient concurrent event-driven code in web development.
Release Management with Devpi
Explore Devpi's versatile features for efficient Python package management, including sharing across teams, deploying binaries, and integrating open-source with proprietary packages.
Image Recognition and Camera Positioning with OpenCV - A Tourist Guide Application
Explore image recognition and camera positioning using OpenCV Python bindings for a tourist guide application, applied to recognizing paintings in museums.
The Lightweight Cloud Servers War Begins
Explore next-gen cloud servers using containers for deployment, focusing on security and cluster management. Compare CoreOS, Atomic Host, Snappy Ubuntu, and VMWare Photon.
Python Security & Cryptography
Introducci ón a la criptografía y seguridad en Python, explorando bibliotecas de encriptación, algoritmos de cifrado, esteganografía y prácticas de codificación segura para desarrolladores.
Preparing Apps for Dynamic Scaling
Learn strategies for preparing applications to dynamically scale, including infrastructure planning, compatibility considerations, and best practices for vertical scaling in cloud environments.
Data Structures with Python
Aprenda estruturas de dados em Python com uma abordagem híbrida que reduziu a taxa de reprovação de 85% para 12%. Inclui recursão, listas encadeadas, filas, pilhas e algoritmos de ordenação.
TDD for APIs
Explore test-driven development for APIs, focusing on validation, design improvement, and practical implementation in Django. Learn key principles and lessons from real-world projects.
Speeding Up Search With Locality Sensitive Hashing
Explore locality sensitive hashing for faster search and similarity comparisons, with practical Python implementations and real-world applications in image search and collaborative filtering.
Practical Usage of Advanced Python Constructs
Explore practical applications of advanced Python constructs like iterators, generators, decorators, and context managers in real projects, with brief introductions to each concept.