📚 My Wiki of Data Science
Welcome to my personal data science wiki! This repository is created using Logseq[^1] and contains my personal notes, knowledge, and resources related to data science.
Table of Contents
Introduction
As a data science enthusiast, I have been learning and practicing data science for several years. Along the way, I have accumulated a lot of useful knowledge, tips, and resources that I find helpful in my journey. This wiki serves as a place for me to organize and share my knowledge with others who are interested in data science.
Features
This repository contains the following features:
- Structured notes: My notes are structured using Logseq's bullet point hierarchy, making it easy to navigate and organize.
- Searchable: You can easily search for keywords or topics using GitHub's search function.
- Continuous updates: I will continue to add new contents to this repository as I learn and discover new things in the field of data science.
- Publish Github Page by Official Action: Logseq Publish SPA · Actions · GitHub Marketplace
Why Logseq
Move to Logseq from Tiddlywiki[^2]
I recently moved my personal data science wiki from Tiddlywiki to Logseq. While Tiddlywiki is a great tool, I found that Logseq better suits my needs for the following reasons:
- Bi-directional links: Logseq's bi-directional linking feature[^3] allows me to easily create connections between related notes and navigate through them seamlessly.
- Zettelkasten Method: The Zettelkasten method[^4] is a powerful note-taking technique that Logseq supports natively, allowing me to capture and connect ideas more effectively.
Reference and Demo
- 简悦 + Logseq + Github Page 无代码全自动化知识管理发布方案 · Kenshin/simpread · Discussion #3426
- 漩涡的Note
- Kenshin's Note
- pengx17的知识花园
Usage
Feel free to use this repository as a reference or resource for your own data science journey. You can clone or fork this repository and use it as a starting point for your own personal wiki.
To view the contents of this repository, simply navigate to the corresponding section in the sidebar. You can also use the search bar to look for specific topics.
Contributing
While this repository is primarily for my personal use, I welcome contributions from fellow data science enthusiasts. If you find an error or have additional resources to share, feel free to submit a pull request.
License
This repository is licensed under the MIT license. Feel free to use and modify the contents of this repository, as long as you include a reference to the original source.
Thank you for visiting my personal data science wiki. I hope you find it helpful in your own learning journey!
[^1]: Logseq: A privacy-first, open-source knowledge base
[^2]: TiddlyWiki — a non-linear personal web notebook
[^3]: 释放双链笔记图谱的力量——KG笔记法 - 知乎 (zhihu.com)
[^4]: 卢曼卡片盒笔记法介绍 (Introduction to the Zettelkasten Method) • Zettelkasten Method