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Explore asynchronous data retrieval using Python Celery to overcome browser connection limits, improve web application performance, and enhance user experience when visualizing large datasets.
Explore Python's data model and descriptor protocol to understand how 'self' is automatically inserted into methods, unveiling the magic behind this core language feature.
Explore advanced CircuitPython projects for IoT and wearables. Learn to choose devices, understand electronics basics, and add interactivity to hardware projects through exciting demos and real-world applications.
Explore techniques and tools for testing machine learning components in Python, addressing challenges of nondeterminism and ensuring reliability in ML-driven applications.
Explore gradual typing in Python, its benefits for code quality, and strategies for implementing types in large codebases, focusing on Instagram's experience with Pyre.
Explore the rationale and concepts behind Python's pattern matching feature, its benefits for processing structured data, and how it complements existing tools for more efficient programming.
Statistical typing: A runtime typing system for data science and ML, extending primitive types to statistical data types. Enables multivariate schemas, generative data contracts, and easier data testing with pandera.
Explore unconventional code execution methods in Python, from yaml to str.format. Learn about real vulnerabilities, absurd exploits, and prevention techniques using Facebook's open-source Pysa analyzer.
Explore Python software supply chain security, including common attacks, protective measures, and tools. Learn about ecosystem improvements for enhanced security in third-party package integration.
Explore probabilistic data structures in Python for efficient counting and item recognition, focusing on Hyperloglog and Bloom Filter algorithms for fast, scalable solutions.
Explore Pydantic for runtime type checking in Python, enhancing data validation for web APIs using standard type annotations and offering compatibility with dataclasses.
Hands-on introduction to CI/CD fundamentals using CircleCI. Learn core principles, build configuration, code commits, testing, and packaging through practical exercises.
Explore Python's warning system for handling minor issues without raising exceptions. Learn to generate, filter, and customize warnings for more nuanced error handling in your code.
Explore Sphinx for building static websites using Markdown, leveraging its powerful features for rich linking and knowledge base creation beyond traditional documentation.
Explore FastAPI's features for rapid REST API development in Python, covering core concepts, schema creation, documentation, and advanced functionalities.
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