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7 changes: 7 additions & 0 deletions .travis.yml
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language: ruby
rvm:
- 2.4
before_script:
- gem install mdl
script:
- mdl -r ~MD013,~MD029,~MD032,~MD034,~MD036 README.md
9 changes: 9 additions & 0 deletions CONTRIBUTING.md
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# Contributing
When contributing to this repository, please ensure your pull request adheres to the following guidelines:
- PR titles should mention the content changes
- New topic suggestions are welcome
- Link additions should follow the selection criteria discussed in the appendix
- Topic references must be legal and ideally free
- Ensure there are no spelling mistakes

You may reach me on [Twitter](https://twitter.com/vicoyeh) for more questions. Thank you for your interests and suggestions!
21 changes: 21 additions & 0 deletions LICENSE
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MIT License

Copyright (c) 2020 Vic Yeh

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
300 changes: 210 additions & 90 deletions README.md
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# One Click to Be Pro
A list of the best resources to help you become a pro.

Of course, it takes more than one click to truly become a pro. However, a good link is a great starting point to become one. The whole point of the title and the repo is to encourage people to learn new technologies. We filtered the abundant information from the Internet into this list that contains the best resources for each topic.

[![Join the chat at https://gitter.im/vic317yeh/One-Click-to-Be-Pro](https://badges.gitter.im/vic317yeh/One-Click-to-Be-Pro.svg)](https://gitter.im/vic317yeh/One-Click-to-Be-Pro?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge)

## Meta Learning
The first 20 hours: https://www.youtube.com/watch?v=5MgBikgcWnY

## JavaScript
* JavaScript: http://speakingjs.com/es5/index.html
* ES6 (after you understand the fundamental JS materials): https://ponyfoo.com/articles/es6
* JS Style: https://github.com/airbnb/javascript
* JS Pattern: https://addyosmani.com/resources/essentialjsdesignpatterns/book/
* Front-end development
* Part 1: https://medium.freecodecamp.com/from-zero-to-front-end-hero-part-1-7d4f7f0bff02
* Part 2: https://medium.freecodecamp.com/from-zero-to-front-end-hero-part-2-adfa4824da9b
* ReactJS: http://courses.reactjsprogram.com/courses/reactjsfundamentals
* Redux (after knowing ReactJS): https://learnredux.com
* React Native: https://facebook.github.io/react-native/docs/tutorial.html
* AngularJS: https://toddmotto.com/ultimate-guide-to-learning-angular-js-in-one-day/
* Angular 2: http://ngcourse.rangle.io
* NodeJS: https://www.codeschool.com/courses/real-time-web-with-node-js
* jQuery: http://jqfundamentals.com
* HTML & CSS (related to JS): http://learn.shayhowe.com/html-css/

## Frameworks
* Ruby on Rails: https://www.railstutorial.org/book
* Python Flask: http://blog.miguelgrinberg.com/post/the-flask-mega-tutorial-part-i-hello-world
* Python Django: http://www.tangowithdjango.com/

## Languages
* Python: http://pymbook.readthedocs.io/en/latest/index.html
* Scala: http://twitter.github.io/scala_school/
* Go: https://astaxie.gitbooks.io/build-web-application-with-golang/content/en/preface.html
* Rust: https://doc.rust-lang.org/book/
* Lua: http://nova-fusion.com/2012/08/27/lua-for-programmers-part-1/
* PHP: http://www.phptherightway.com/
* Julia: http://docs.julialang.org/en/latest/
* Elixir: http://elixir-lang.org/getting-started
* Haskell: http://learnyouahaskell.com/
* Clojure : http://www.braveclojure.com/clojure-for-the-brave-and-true/

## Algorithms
* Interview: https://leetcode.com
* ICPC: http://www.stanford.edu/class/cs97si/
* C++ STL
* Part 1: https://www.topcoder.com/community/data-science/data-science-tutorials/power-up-c-with-the-standard-template-library-part-1/
* Part 2: https://www.topcoder.com/community/data-science/data-science-tutorials/power-up-c-with-the-standard-template-library-part-2/

## Mobile
* iOS with Swift: https://itunes.apple.com/us/course/developing-ios-9-apps-swift/id1104579961
* Android: https://www.udacity.com/course/developing-android-apps--ud853

## Tools
* Git: http://marc.helbling.fr/2014/09/practical-git-introduction
* Text Editor: http://www.learnenough.com/text-editor-tutorial
* Markdown: https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet
* LaTex: http://www.latex-tutorial.com/tutorials/
* Vimscript: http://learnvimscriptthehardway.stevelosh.com/
* Bash: http://steve-parker.org/sh/sh.shtml
* Docker
* Part 1: https://projectricochet.com/blog/production-meteor-and-node-using-docker-part-i
* Part 2: https://projectricochet.com/blog/production-meteor-and-node-using-docker-part-ii

## Others
* Hacking: https://www.hacksplaining.com
* Design: https://medium.com/hh-design/design-resources-5071be5f2e43
* Machine Learning: https://www.coursera.org/learn/machine-learning
* Neural Networks: http://neuralnetworksanddeeplearning.com/index.html
* Deep Learning: http://www.deeplearningbook.org/
* Game Programming: http://www-cs-students.stanford.edu/~amitp/gameprog.html
* Cryptography: https://www.crypto101.io
* Networking: http://beej.us/guide/bgnet/output/html/multipage/index.html
* Data Mining: http://guidetodatamining.com/
* Linux: https://web.archive.org/web/20160224020724/https://nixsrv.com/llthw
* Design Patterns: https://sourcemaking.com/design_patterns
* Data Visualization: http://alignedleft.com/tutorials/d3

#FAQ
**How is this repo different from [awesome](https://github.com/sindresorhus/awesome)?**

This repo is maintained as a list of one-hit KO of topics.

**How can I contribute?**

If you would like to contribute to this list you can reach out to me via email, twitter, or fork this repository and make a pull request.
* Email: vic.yeh at ucla dot edu
* Twitter: [@vicohyeh](https://twitter.com/vicohyeh)
# Pointers for Software Engineers [![Build Status](https://travis-ci.org/vicoyeh/pointers-for-software-engineers.svg?branch=master)](https://travis-ci.org/vicoyeh/pointers-for-software-engineers)

_A curated list of topics to start learning software engineering_

Pointers for Software Engineers is a complete open-source computer science curriculum, designed to cover the fundamentals and practical topics of software engineering most relevant to the industry today. Think of it as an alternative or supplement to college or bootcamp education. It aims to serve as a guidebook for beginners planning to make a career transition into software engineering, computer science students looking to expand their practical knowledge, and experienced engineers curious to seek references for other subject matters.

Each topic in this curriculum includes only a single reference for readers to gain familiarity and understanding in a short period of time. Tutorials with clear content structure and hands-on examples are selected over other references. Some would say it is taking a breadth-first search approach to computer science learning.

This curriculum is divided into four major sections: fundamentals, advanced, tracks, and subjects. Fundamentals cover the core part of computer science and are often required as the lower-division courses in universities. Advanced goes more in depth on various computer science subjects and are usually topics discussed in upper-vision university electives. Tracks outline the most common software engineering roles and provide relevant topics for introductory understanding. Subjects offer content for specialization fields researched in corporate research labs and startup initiatives.

If you are just starting, it is recommended to go through the fundamentals in order, then pick a subset of advanced topics to read at will. For the curious ones, use tracks and subjects as references when choosing career options that most interest you.

## Table of Contents

1. Fundamentals
- CS 101
- Data Structures & Algorithms
- Operating Systems
- Shell, Git, editors, and more
2. Advanced
- Web Applications
- Databases
- Programming Languages
- Compilers & Interpreters
- Networking
- Security
- Miscellaneous
3. Tracks
- Systems Engineering
- Product Engineering
- Machine Learning & Data Engineering
- Security Engineering
- Game Engineering
- QA Engineering
4. Subjects
- Artificial Intelligence
- Blockchain
- Bioinformatics
- Cybersecurity
- Human-Computer Interaction
- Theory

## 1. Fundamentals

### CS 101

- Course: https://www.edx.org/course/cs50s-introduction-to-computer-science
- Python: https://www.codecademy.com/learn/learn-python-3

### Data Structures & Algorithms

- Course: https://www.coursera.org/learn/algorithms-part1
- Book: https://livebook.manning.com/book/grokking-algorithms

### Operating Systems

- Course: https://www.udacity.com/course/introduction-to-operating-systems--ud923
- Book: http://pages.cs.wisc.edu/~remzi/OSTEP

### Shell, Git, editors, and more

- Course: https://missing.csail.mit.edu

## 2. Advanced

### Web Applications

- HTML & CSS: http://learn.shayhowe.com/html-css
- jQuery: http://jqfundamentals.com
- Frontend development: https://www.freecodecamp.org/news/from-zero-to-front-end-hero-part-1-7d4f7f0bff02
- Backend development: http://blog.miguelgrinberg.com/post/the-flask-mega-tutorial-part-i-hello-world
- Design: https://medium.com/hh-design/design-resources-5071be5f2e43

### Databases

- SQL: https://www.khanacademy.org/computing/computer-programming/sql/sql-basics/v/welcome-to-sql
- SQL practice: https://pgexercises.com
- NoSQL: https://www.openmymind.net/mongodb.pdf
- Database systems: http://www.redbook.io

### Programming Languages

- JavaScript: http://speakingjs.com/es5/index.html
- Python: http://pymbook.readthedocs.io
- Go: https://gobyexample.com
- C++: https://www.learncpp.com
- Lisp: http://www.gigamonkeys.com/book
- Java: https://leanpub.com/aprimeronjava/read
- Scala: http://twitter.github.io/scala_school
- Rust: https://doc.rust-lang.org/book
- PHP: https://phptherightway.com
- Haskell: http://learnyouahaskell.com
- Clojure: http://www.braveclojure.com/clojure-for-the-brave-and-true

### Compilers & Interpreters

- Compilers: https://www.amazon.co.uk/Compilers-Principles-Techniques-Alfred-Aho/dp/0201100886
- Interpreters: http://craftinginterpreters.com/contents.html

### Networking

- Network programming: http://beej.us/guide/bgnet/html

### Security

- Cryptography: https://www.crypto101.io/
- Network security: https://training.apnic.net/wp-content/uploads/sites/2/2016/12/TSEC01.pdf

### Miscellaneous

- Interview preparation: https://leetcode.com
- Design patterns: https://sourcemaking.com/design_patterns
- Markdown: https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet
- LaTex: https://www.latex-tutorial.com/tutorials
- Algorithms: http://mimoza.marmara.edu.tr/~msakalli/cse706_12/SkienaTheAlgorithmDesignManual.pdf
- Competitive programming: http://www.stanford.edu/class/cs97si
- Mathematical programming: https://projecteuler.net

## 3. Tracks

### Systems Engineering

- System design: https://github.com/donnemartin/system-design-primer
- Site reliability: https://landing.google.com/sre/sre-book/toc/index.html
- Data-intensive systems: https://www.amazon.co.uk/Designing-Data-Intensive-Applications-Reliable-Maintainable/dp/1449373321
- Microservices: https://microservices.io
- Distributed systems: https://github.com/aphyr/distsys-class
- AWS: https://adayinthelifeof.nl//2020/05/20/aws.html

### Product Engineering

- React: https://reactjs.org/tutorial/tutorial.html
- React Native: https://facebook.github.io/react-native/docs/tutorial.html
- API design: https://www.vinaysahni.com/best-practices-for-a-pragmatic-restful-api
- iOS: https://itunes.apple.com/gb/course/developing-ios-11-apps-with-swift/id1309275316
- Android: https://www.udacity.com/course/developing-android-apps--ud853
- Ruby on Rails: https://www.railstutorial.org/book/beginning
- Node: https://www.airpair.com/javascript/node-js-tutorial

### Machine Learning & Data Engineering

- Machine learning: https://www.coursera.org/learn/machine-learning
- Data mining: http://guidetodatamining.com
- Data visualization: http://alignedleft.com/tutorials/d3
- TensorFlow: https://www.tensorflow.org/tutorials
- PyTorch: https://pytorch.org/tutorials

### Security Engineering

- Security engineering: https://www.cl.cam.ac.uk/~rja14/book.html
- Security checklist: https://www.sqreen.com/checklists/saas-cto-security-checklist

### Game Engineering

- Game programming: http://www-cs-students.stanford.edu/~amitp/gameprog.html
- Game design: http://dl.booktolearn.com/ebooks2/computer/gamedevelopment/9781449337933_designing_games_71f6.pdf

### QA Engineering

- Test design: http://dahlan.unimal.ac.id/files/ebooks/2004%20A%20Practitioner's%20Guide%20to%20Software%20Test%20Design_Good.pdf
- Refactoring: http://silab.fon.bg.ac.rs/wp-content/uploads/2016/10/Refactoring-Improving-the-Design-of-Existing-Code-Addison-Wesley-Professional-1999.pdf?lang=latxzf

## 4. Subjects

### Artificial Intelligence

- Neural networks and deep learning: http://neuralnetworksanddeeplearning.com/index.html
- Reinforcement learning: https://lilianweng.github.io/lil-log/2018/02/19/a-long-peek-into-reinforcement-learning.html
- OpenCV: https://www.pyimagesearch.com/2018/07/19/opencv-tutorial-a-guide-to-learn-opencv

### Blockchain

- Bitcoin: https://bitcoin.org/bitcoin.pdf
- Crypto: https://a16z.com/2018/02/10/crypto-readings-resources

### Bioinformatics

- Computational biology: https://open.oregonstate.education/computationalbiology

### Cybersecurity

- Digital defense: https://books.google.co.uk/books?id=UIvDCgAAQBAJ&printsec=frontcover&source=gbs_ge_summary_r&cad=0#v=onepage&q&f=false

### Human-Computer Interaction

- User interface: https://www.amazon.com/gp/product/0321537351/ref=as_li_ss_tl?ie=UTF8&camp=1789&creative=390957&creativeASIN=0321537351&linkCode=as2&tag=roblov-20

### Theory

- Academic paper review: https://blog.acolyer.org
- Corporate research: https://research.google/research-areas

## Appendix

**Why is a reference chosen over the others for a topic?**

References are selected using the following order of criteria:

1. Free and available online
2. Primers over textbooks
3. Learning by examples
4. Content coverage on practical applications

**How do I contribute?**

_Pointers for Software Engineers_ is meant to be an open-source curriculum under continuous updates by the community. All contributions are welcome by simply creating a pull request for review.

**May I modify or distribute this project?**

This project is released under MIT License. See [here](https://github.com/vicoyeh/Pointers-for-Software-Engineers/blob/master/LICENSE) for more information.

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