CSDIY is an English-language self-learning guide to computer science, described as a memento of the author's three years of self-learning at university. It contains a user guide, a reference CS learning plan, a productivity toolkit, book recommendations, and a list of high quality CS courses.
Data Engineering Practice Problems
Data Engineering Practice Problems is a GitHub repository or organization with source code, releases, documentation, or project resources.
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0CSDIY is an English-language self-learning guide to computer science, described as a memento of the author's three years of self-learning at university. It contains a user guide, a reference CS learning plan, a productivity toolkit, book recommendations, and a list of high quality CS courses.
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0Hacksplaining offers free interactive secure coding lessons in which users exploit real attacks in the browser and then learn the fix. The lessons cover the OWASP Top 10 and GenAI-era threats such as prompt injection, and are free for personal use. Team training is also offered.
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0CSS Battle is a multiplayer CSS game in which players recreate target images using the shortest possible CSS code. It offers daily challenges, live battles, versus rooms and leaderboards, and states that the shorter the CSS, the higher the score. The site also offers material for learning CSS.
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0CodeAnalogies is a series of tutorials that explain CSS and JavaScript topics with visual guides, analogies and diagrams. Its lessons cover basic web development concepts, and tutorials are described as including a high-level analogy to a real-world concept, diagrams, and examples using actual code.
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Git Commands is a reference page listing main Git commands with short explanations, covering starting a repository, checking status, undoing changes, managing branches and orphan branches. The page is available in English and Portuguese.
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0The online version of the work-in-progress third edition of the book ggplot2: Elegant Graphics for Data Analysis, published by Springer. It focuses on explaining the Grammar of Graphics that ggplot2 uses and describes its full details rather than serving as a cookbook. Written by Hadley Wickham, Danielle Navarro and Thomas Lin Pedersen.
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