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https://github.com/lidangzzz/How-to-run

立党零基础转码笔记
https://github.com/lidangzzz/How-to-run

computer-science python

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立党零基础转码笔记

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# 立党零基础转码笔记



Github Page只读版：[https://lidangzzz.github.io/How-to-run/](https://lidangzzz.github.io/How-to-run/)



## 第一章 零基础转码篇



1. 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](https://www.coursera.org/learn/python?specialization=python)

2. 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](https://www.coursera.org/specializations/data-structures-algorithms?=#courses)

3. 前端入门（Reactjs）：

    1. Meta的Coursera零基础前端转码课：[https://www.coursera.org/professional-certificates/meta-front-end-developer](https://www.coursera.org/professional-certificates/meta-front-end-developer)

    2. 如果只看文字版，推荐W3CSchool教程：

        1. HTML：[https://www.w3schools.com/html/default.asp](https://www.w3schools.com/html/default.asp)

        2. CSS：[https://www.w3schools.com/css/default.asp](https://www.w3schools.com/css/default.asp) 

        3. JavaScript：[https://www.w3schools.com/js/default.asp](https://www.w3schools.com/js/default.asp)

    3. 其他参考文档：

        1. Reactjs官方文档：[https://reactjs.org/tutorial/tutorial.html](https://reactjs.org/tutorial/tutorial.html)

        2. MDN文档（权威JavaScript、CSS、HTML文档）：[https://developer.mozilla.org/en-US/](https://developer.mozilla.org/en-US/)

        3. TypeScript文档：[https://www.typescriptlang.org/docs/](https://www.typescriptlang.org/docs/)

    4. 互动的codeing bootcamp：[https://www.freecodecamp.org/learn/front-end-development-libraries/#bootstrap](https://www.freecodecamp.org/learn/front-end-development-libraries/#bootstrap)

4. 后端入门：

    1. 后端语言（个人强烈且只推荐Java）Java（Duke）：[https://www.coursera.org/specializations/object-oriented-programming](https://www.coursera.org/specializations/object-oriented-programming)

    2. 后端框架（推荐Springboot）Springboot：[https://www.youtube.com/watch?v=9SGDpanrc8U](https://www.youtube.com/watch?v=9SGDpanrc8U)

    3. 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](https://www.coursera.org/specializations/postgresql-for-everybody?#courses)

    4. Amazon Web Service：[https://www.youtube.com/watch?v=3hLmDS179YE](https://www.youtube.com/watch?v=3hLmDS179YE) 

5. 课程以外重要的基本技能：

    1. 正确使用Git：[https://docs.github.com/en/get-started/using-git/about-git](https://docs.github.com/en/get-started/using-git/about-git)

    2. IDE与编辑器：

        1. Visual Studio Code入门教程：[https://code.visualstudio.com/docs/introvideos/basics](https://code.visualstudio.com/docs/introvideos/basics) 

        2. Jetbrains全家桶使用指南（IDEA、PyCharm、WebStorm等）：[https://www.jetbrains.com/help/](https://www.jetbrains.com/help/) 

        3. Visual Studio入门教程：[https://visualstudio.microsoft.com/vs/getting-started/](https://visualstudio.microsoft.com/vs/getting-started/) 

    3. 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](https://docs.github.com/en/get-started/writing-on-github/getting-started-with-writing-and-formatting-on-github/basic-writing-and-formatting-syntax) 

    4. Linux command line tools手册：[https://www.freecodecamp.org/news/the-linux-commands-handbook/](https://www.freecodecamp.org/news/the-linux-commands-handbook/) 

6. 面试：

    1. 初级版 Cracking the Coding Interview，北美码农面试经典入门圣经：

        1. 纸质版（请尽量购买正版）：[https://www.amazon.com/Cracking-Coding-Interview-Programming-Questions/dp/0984782850](https://www.amazon.com/Cracking-Coding-Interview-Programming-Questions/dp/0984782850)

        2. 电子版（请勿用于商用并遵守版权法律）：[https://github.com/Avinash987/Coding/blob/master/Cracking-the-Coding-Interview-6th-Edition-189-Programming-Questions-and-Solutions.pdf](https://github.com/Avinash987/Coding/blob/master/Cracking-the-Coding-Interview-6th-Edition-189-Programming-Questions-and-Solutions.pdf)

    2. 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/](https://leetcode.com/explore/)

7. 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：

    1. UC Berkeley CS 61A. The Structure and Interpretation of Computer Programs：[https://www.youtube.com/channel/UCuteugW6eO65Awk83I6ehoA/playlists](https://www.youtube.com/channel/UCuteugW6eO65Awk83I6ehoA/playlists)

    2. UC Berkeley CS61B. Data Structures：[https://www.youtube.com/watch?v=h59h5DoNhL4&list=PLgNUCz66KaWRSVzIeT_qB2yBgHocLmRWI](https://www.youtube.com/watch?v=h59h5DoNhL4&list=PLgNUCz66KaWRSVzIeT_qB2yBgHocLmRWI)

8. 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）：

    1. Machine Learning by Andrew Ng: [https://www.coursera.org/specializations/machine-learning-introduction](https://www.coursera.org/specializations/machine-learning-introduction) 

    2. Deep Learning by Andrew Ng: [https://www.coursera.org/specializations/deep-learning#courses](https://www.coursera.org/specializations/deep-learning#courses)

    3. IBM Data Science: [https://www.coursera.org/professional-certificates/ibm-data-science#courses](https://www.coursera.org/professional-certificates/ibm-data-science#courses) 

9. 美国最便宜的正规名校Online CS Master项目 GeorgiaTech/UIUC/UT-Austin Online CS Master：

    1. 优势：顶级名校、正规Master学位、全美最便宜 $9000；

    2. 缺点：远程、没有CPT/OPT（无法工作实习），适合已经有绿卡、可L1 transfer或者在国内转码刷学历；

    3. Georgia Tech Online CS Master 项目官网 [https://omscs.gatech.edu/](https://omscs.gatech.edu/)

    4. UIUC Online CS Master 项目官网 [https://cs.illinois.edu/academics/graduate/professional-mcs/online-master-computer-science](https://cs.illinois.edu/academics/graduate/professional-mcs/online-master-computer-science)

    5. UT-Austin Online CS Master 项目官网 [https://www.cs.utexas.edu/graduate-program/masters-program/msonline](https://www.cs.utexas.edu/graduate-program/masters-program/msonline)

10. 不计成本地肉身到硅谷转码 NEU CS Align Master in Computer Science： 

    1. 优势：顶级名校、正规Master、自带co-op实习，肉身在硅谷到处开车面试，门槛低，不需要Computer Science本科学位，转码国际学生刷题找工氛围浓厚；

    2. 缺点：贵（学费预算 $70000）

    3. 地址：[https://www.khoury.northeastern.edu/programs/align-masters-of-science-in-computer-science/](https://www.khoury.northeastern.edu/programs/align-masters-of-science-in-computer-science/)

11. 讨论与求助：

    1. Telegram（讨论）：[https://t.me/lidang](https://t.me/lidang) 

    2. Discord（求助、答疑、资源共享等）：[https://discord.com/invite/kCdnP3w49E](https://discord.com/invite/kCdnP3w49E) 

    3. 立党Twitter： [https://twitter.com/lidangzzz](https://twitter.com/lidangzzz)



---



## 第二章 你的资质适合转码吗？请完成如下测试



学完Python和数据结构后，请尝试独立完成以下Leetcode题目：

1. No.1 Two Sum [https://leetcode.com/problems/two-sum/](https://leetcode.com/problems/two-sum/)

2. No.9 Palindrome Number [https://leetcode.com/problems/palindrome-number/](https://leetcode.com/problems/palindrome-number/)

3. No.21 Merge Two Sorted Lists [https://leetcode.com/problems/merge-two-sorted-lists/](https://leetcode.com/problems/merge-two-sorted-lists/)

4. No.26 Remove Duplicates from Sorted Array [https://leetcode.com/problems/remove-duplicates-from-sorted-array/](https://leetcode.com/problems/remove-duplicates-from-sorted-array/)

5. No.89 Gray Code [https://leetcode.com/problems/gray-code/](https://leetcode.com/problems/gray-code/)

6. No.94 Binary Tree Inorder Traversal [https://leetcode.com/problems/binary-tree-inorder-traversal/](https://leetcode.com/problems/binary-tree-inorder-traversal/)

7. No.226 Invert Binary Search Tree [https://leetcode.com/problems/invert-binary-tree/](https://leetcode.com/problems/invert-binary-tree/)

8. No.231 Power of Two [https://leetcode.com/problems/power-of-two/](https://leetcode.com/problems/power-of-two/)

9. No.257 Binary Tree Paths [https://leetcode.com/problems/binary-tree-paths/](https://leetcode.com/problems/binary-tree-paths/)

10. No.264 Ugly Number II [https://leetcode.com/problems/ugly-number-ii/](https://leetcode.com/problems/ugly-number-ii/)

11. No.334 Reverse String [https://leetcode.com/problems/reverse-string/](https://leetcode.com/problems/reverse-string/)



如果以上11道题目可以做对，或者看答案后可以正确理解，关掉答案后能够正确回答———恭喜你，你具备转码的潜质和资质，可以正式认真考虑从零基础转码了（着手申请硕士项目、开始系统从零自学Computer Science的所有基础课程）！