Today I learned about Python collections.defaultdict performance benefits, the sorted function's reverse parameter, and using arandr as a frontend for xrandr in tiling window managers.
Today I learned about testing Dash applications with pytest and selenium, implementing Flask-Dash integration patterns, and understanding Pi-hole's FTL engine based on dnsmasq.
TIL 2020-07-23 Memoizing Dash Callback Responses with Flask-Caching - It’s possible to cache dash callback responses for better performance using flask-caching. Configurable Dash Registration - Always ensure that dash registration in a Flask-Dash app is configurable. You might want to skip loading dash when testing backend-only functionality. pytest-dash Status - pytest-dash has been abandoned since the official dash repository now supports Selenium testing via pytest directly.
Web Development and Testing Dash Framework Testing It is possible to memoize dash callback responses with flask-caching Dash supports response caching to improve performance Flask-caching integration allows for sophisticated caching strategies Important for optimizing callback-heavy Dash applications Flask-Dash Integration Best Practices Always ensure that dash registration in a Flask-Dash app is configurable Might want to not load dash when testing backend only Separation of concerns between backend API and frontend visualization Enables more targeted testing strategies Testing and Mocking Python Mock Module Best Practices When mocking python functions in a flask test, ensure you reference the module where the function is called, not where it originates from Common pitfall: mocking at the wrong import level Mock at the point of use, not the point of definition Critical for effective unit testing in complex applications Infrastructure and Networking Docker Compose Development Insights docker-compose has no docstrings Interesting observation about code documentation practices Even popular tools can have documentation gaps Reminder of the importance of good code documentation DNS and Network Tools Pi-hole Architecture pihole’s Faster than light engine is a fork of dnsmasq Built on proven DNS server technology Optimized for ad-blocking and DNS filtering Demonstrates how open source projects build on each other Command Line Tools argparse does support sub-commands Python’s built-in argument parsing library is more capable than often realized Enables building complex CLI interfaces with nested commands Alternative to third-party libraries like Click for simpler use cases
Today I learned about techniques to improve Rust compilation performance, including dependency management, feature flags, incremental compilation, and toolchain optimization strategies.
Today I learned about Rust systems programming through terminal applications, backend development patterns, Pi-hole networking setup, and various development productivity tools and resources.
Today I learned about comprehensive curated lists of development resources, learning curricula, and specialized tools covering everything from CSS protips to computer science fundamentals and documentation systems.
Today I learned about advanced Python code quality tools, CPython internals resources, and modern development practices from my archive of learning notes.
Today I learned about effective documentation systems, comprehensive learning resources for computer science, and modern educational platforms from my archive.
Cryptography and Security Real World Cryptography Book Book on Real World Cryptography Practical approach to understanding cryptographic concepts Focuses on real-world applications rather than pure theory Manning Publications interactive book format VPN Solutions Pritunl - Simple OpenVPN Implementation pritunl is a simple home OpenVPN implementation Web-based OpenVPN server management Simplified setup and configuration for home users Alternative to complex commercial VPN solutions Computer Science Education Brown University Programming Course Brown University: Programming and Programming Languages Comprehensive course on programming language theory and implementation Covers language design, semantics, and implementation techniques Free online course materials available Technical Deep Dives JPEG Decoder Implementation Understanding and writing a JPEG decoder in Python Step-by-step guide to implementing JPEG decoding Explains the JPEG compression algorithm and file format Practical Python implementation with detailed explanations Great for understanding image compression fundamentals