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Learn to build and document service interfaces using OpenAPI/Swagger, exploring benefits, challenges, and best practices for implementation in large-scale production environments.

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.

Explicación detallada de Unicode, codificaciones y su implementación en Python, con énfasis en buenas prácticas y funciones útiles para el manejo eficiente de caracteres.

Learn best practices for designing RESTful APIs. Discover key principles, architectural constraints, and common mistakes to avoid. Create clean, safe, and efficient APIs that developers will love to work with.

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 the process of translating Python into LLVM Intermediate Representation, enabling platform-independent execution and potential performance improvements for analytical frameworks.

Learn to instrument Python apps with Prometheus for real-time insights. Explore metrics collection, dashboards, and monitoring to improve application performance and system understanding.

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

Explore unconventional uses of Jupyter beyond scientific exploration, including command-line tutorials, interactive presentations, and web technology experimentation.

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.

Explore migrating from PostgreSQL to HDF5 for scientific projects with large floating-point datasets. Learn strategies for performance optimization, data migration, and maintaining system integrity during transition.

Strategies for breaking down monolithic applications into manageable components, addressing dependency challenges, and improving code flexibility and maintainability.

Explore Python's inner workings through its C API. Learn about reference counting, memory management, and the implementation of objects and modules by creating bindings between C and Python.

Explore machine learning techniques to predict Atlantic herring size changes using environmental and fishing data, with implications for conservation and sustainable fisheries management.

Explore test-driven reuse strategy and pytest-nodev, a search engine for Python code. Learn to efficiently find and reuse code based on behavior and semantics rather than keywords.

Discover how to collect, clean, store, and analyze log data from various systems using the ELK stack, enhancing DevOps practices and gaining valuable insights into your infrastructure.

Explore neural networks and create your own using Python. Learn about AI challenges, biologically-inspired networks, training methods, and achieve 97.5% accuracy in recognizing handwritten numbers.