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xingangshi commented
- 你的第一门编程语言,Python。Coursera上的Python for Everbody (UMich):https://www.coursera.org/learn/python?specialization=python
- 你的第二门也是最重要的Computer Science课程,数据结构和算法 (UCSD):https://www.coursera.org/specializations/data-structures-algorithms?=#courses
- 前端入门(Reactjs):
- Meta的Coursera零基础前端转码课:https://www.coursera.org/professional-certificates/meta-front-end-developer
- 如果只看文字版,推荐W3CSchool教程:
- 其他参考文档:
- Reactjs官方文档:https://reactjs.org/tutorial/tutorial.html
- MDN文档(权威JavaScript、CSS、HTML文档):https://developer.mozilla.org/en-US/
- TypeScript文档:https://www.typescriptlang.org/docs/
- 互动的codeing bootcamp:https://www.freecodecamp.org/learn/front-end-development-libraries/#bootstrap
- 后端入门:
- 后端语言(个人强烈且只推荐Java)Java(Duke):https://www.coursera.org/specializations/object-oriented-programming
- 后端框架(推荐Springboot)Springboot:https://www.youtube.com/watch?v=9SGDpanrc8U
- 数据库(推荐PostgreSQL,同时可以学MongoDB、Redis、MySQL等)SQL与PostgreSQL:https://www.coursera.org/specializations/postgresql-for-everybody?#courses
- Amazon Web Service:https://www.youtube.com/watch?v=3hLmDS179YE
- 课程以外重要的基本技能:
- 正确使用Git:https://docs.github.com/en/get-started/using-git/about-git
- IDE与编辑器:
- Visual Studio Code入门教程:https://code.visualstudio.com/docs/introvideos/basics
- Jetbrains全家桶使用指南(IDEA、PyCharm、WebStorm等):https://www.jetbrains.com/help/
- Visual Studio入门教程:https://visualstudio.microsoft.com/vs/getting-started/
- Markdown文档基本语法:https://docs.github.com/en/get-started/writing-on-github/getting-started-with-writing-and-formatting-on-github/basic-writing-and-formatting-syntax
- Linux command line tools手册:https://www.freecodecamp.org/news/the-linux-commands-handbook/
- 面试:
- 初级版 Cracking the Coding Interview,北美码农面试经典入门圣经:
- Leetcode,所有古今中外大小厂的算法题都在这里,至少30道,上不封顶:https://leetcode.com/explore/
- 以下是完整的Computer Science基础课,时间充裕的前提下,建议完整学一遍:
- UC Berkeley CS 61A. The Structure and Interpretation of Computer Programs:https://www.youtube.com/channel/UCuteugW6eO65Awk83I6ehoA/playlists
- UC Berkeley CS61B. Data Structures:https://www.youtube.com/watch?v=h59h5DoNhL4&list=PLgNUCz66KaWRSVzIeT_qB2yBgHocLmRWI
- Machine Learning, Deep Learning, Data Science(感兴趣可以学习,但不建议作为零基础转码方向):
- Machine Learning by Andrew Ng: https://www.coursera.org/specializations/machine-learning-introduction
- Deep Learning by Andrew Ng: https://www.coursera.org/specializations/deep-learning#courses
- IBM Data Science: https://www.coursera.org/professional-certificates/ibm-data-science#courses
xingangshi commented