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Programming for Everybody (Getting Started with Python)
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Explore strategies to manage software complexity, prevent common pitfalls, and foster a culture of craftsmanship for sustainable development and improved project outcomes.
Learn to craft clear, actionable error messages for better code readability and user experience. Explore common pitfalls and effective techniques for writing informative error messages in Python.
Learn to analyze, manipulate, and visualize geospatial data using Python and open-source modules like Shapely, Fiona, rasterio, and GeoPandas. Explore vector and raster data handling, spatial reference systems, and map creation.
Explore debugging techniques using data visualization tools to understand complex code behavior, illustrated with real-world examples from AWS CLI and boto3 development.
Explore testing doubles in Python: mocks, fakes, dummies, stubs, and spies. Learn their differences, use cases, and implementation techniques for effective unit testing and dependency isolation.
Learn to implement Command Query Responsibility Segregation (CQRS) in Python using Nameko framework to enhance database performance and scalability in high-traffic applications.
Learn to build scalable, distributed machine learning data pipelines using Airflow with Celery backend. Gain insights on industry challenges, comparisons with other technologies, and practical knowledge for implementation.
Learn modern JavaScript from a Python developer's perspective, covering language basics, development tools, popular frameworks, and new features like TypeScript. Gain confidence in using JavaScript and its ecosystem.
Learn techniques for creating environment-agnostic Python applications that are easier to test, deploy, handle, and scale. Discover tools and best practices for structuring and configuring apps independent of their runtime environment.
Explore how LSTM neural networks and Python can generate AI-driven test inputs for software testing and network security, improving upon traditional fuzzing techniques.
Explore microservices and serverless architecture in Python, focusing on AWS Lambda. Learn advantages, use cases, and practical implementation using frameworks like Chalice and Zappa.
Discover tox: an open-source tool for standardizing Python testing, simplifying CI processes, and ensuring high-quality, maintainable packages across various environments.
Explore 8 Python web frameworks in a whirlwind tour, comparing microframeworks, "batteries included" options, and async frameworks. Broaden your horizons with practical examples and Jules Verne-inspired fun.
Learn effective Django testing strategies to improve development speed and maintain project quality. Covers unit testing, mocking, project structure, and other testing methods.
Exploración profunda del módulo dataclasses de Python 3.7, comparándolo con alternativas existentes y analizando su diseño, propósito y beneficios para los desarrolladores.
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