Qix (ty4z2008/Qix)
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What is this?
Qix is a curated collection of learning resources covering Machine Learning, Deep Learning, PostgreSQL, Distributed Systems, Node.js and Golang, maintained by one author sharing notes and translations.
Is this a tutorial, a reading list, or actual code?
It's a reading list organized into chapters per topic, plus some translated documents, not a runnable library or tool.
How is the list organized?
It's split into sections by subject — Machine Learning/Deep Learning, Golang, PostgreSQL, and Distributed Systems — each broken into numbered chapters.
Do I need any extra tools to use this list?
No, it's just reading material and translated docs; no software or dependencies are required.
Are the entries vetted or kept up to date?
The author admits some information may be incorrect and asks readers to submit corrections via email or pull request, so accuracy depends on community feedback rather than active curation.
Where should a beginner start?
Pick the subject folder that matches your interest (ML/DL, Golang, PostgreSQL, or Distributed Systems) and start from Chapter 1 of that section.
What does the node-mysql translation section contain?
It links to a Chinese translation of the official node-mysql documentation alongside the original English docs.
Is this list specific to one programming language?
No, it spans multiple topics and languages — Go, Node.js, and database/distributed-systems theory that's language-agnostic.
What are similar projects?
awesome-bigdata, awesome-database-learning, awesome-java-cn, architect-awesome, awesome-courses, awesome-design-patterns, golang-open-source-projects, awesome-postgres
Which topics is it in?
distributed-computing, distributed-database, sql, awesome, golang, distributed-systems, postgresql, learning-resources, database, awesome-list, list, curated-list