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https://github.com/cseas/cs101

Awesome guide to welcome freshers to the world of Computer Science.
https://github.com/cseas/cs101
computer-science
Last synced: 10 days ago
JSON representation
Awesome guide to welcome freshers to the world of Computer Science.
Host: GitHub
URL: https://github.com/cseas/cs101
Owner: cseas
License: mit
Created: 2018-06-02T12:23:29.000Z (over 6 years ago)
Default Branch: master
Last Pushed: 2022-11-07T10:02:31.000Z (about 2 years ago)
Last Synced: 2024-11-07T05:46:31.277Z (2 months ago)
Topics: computer-science
Homepage: https://www.absingh.com/cs101/
Size: 69.3 KB
Stars: 49
Watchers: 8
Forks: 10
Open Issues: 1
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
Awesome Lists containing this project

README

        # CS 101

[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](LICENSE)  

Awesome collection of some of the best resources online for Computer Science.  

Contributions are welcome.  

The guide contains the following sections:

- [Beginner](#beginner)  

  - [Absolute Beginners](#absolute-beginners)

  - [Kickstart Projects](#kickstart-projects)

  - [Competitive Coding](#competitive-coding)

  - [Curated Curriculum](#curated-curriculum)

  - [Free Online Courses](#free-online-courses)

- [Intermediate](#intermediate)

  - [Web Development](#web-development)

  - [Mobile Development](#mobile-development)

  - [Databases](#databases)

  - [Game Development](#game-development)

  - [Open Source](#open-source)

  - [Software Development](#software-development)

- [Advanced](#advanced)

  - [Machine Learning](#machine-learning)

  - [Deep Learning](#deep-learning)

  - [Data Science](#data-science)

  - [Artificial Intelligence](#artificial-intelligence)

  - [Augmented Reality](#augmented-reality)

  - [Cyber Security](#cyber-security)

  - [DevOps](#devops)

- [Developer Programs](#developer-programs)

  - [Technical Student/Developer Programs](#technical-studentdeveloper-programs)

  - [Summer Student Programs](#summer-student-programs)

  - [Winter Student Programs](#winter-student-programs)

  - [Women In Tech Programs](#women-in-tech-programs)

  - [Annual Hackathons](#annual-hackathons)

  

  ---

# Beginner

## Absolute Beginners

- [CS50](https://www.edx.org/course/cs50s-introduction-computer-science-harvardx-cs50x) - Introduction to Computer Science by Harvard University on edX.

- [CS 101](https://in.udacity.com/course/intro-to-computer-science--cs101) - Udacity's Intro to Computer Science.

- [The New Boston](https://www.youtube.com/user/thenewboston/playlists) - Programming tutorials by Bucky Roberts.

- [Google Tech Dev Guide](https://techdevguide.withgoogle.com/) - Grow your technical skills with Google.

## Kickstart Projects

- [Practice Programs](https://github.com/karan/Projects-Solutions)

- [Project Ideas](https://github.com/vicky002/1000_Projects)

- [100 Days of Code Challenge](http://www.100daysofcode.com/)

- [Project Based Learning](https://github.com/tuvtran/project-based-learning)

- [Rapid API](https://rapidapi.com/) - World's top APIs for all kinds of tasks.

## Competitive Coding

- [Codechef](http://www.codechef.com/)

- [HackerRank](https://www.hackerrank.com/)

- [HackerEarth](https://www.hackerearth.com/)

## Curated Curriculum

For people interested in following a university like curriculum.

- [Computer Science](https://github.com/ossu/computer-science) - Path to a free self-taught education in Computer Science!

- [Machine Learning](https://github.com/llSourcell/Learn_Machine_Learning_in_3_Months) - Learn Machine Learning in 3 Months.

- [Deep Learning](https://github.com/llSourcell/Learn_Deep_Learning_in_6_Weeks) - Learn Deep Learning in 6 Weeks.

- [Data Science](https://github.com/ossu/data-science) - Path to a free self-taught education in Data Science!

## Free Online Courses

The following websites feature some of the best resources available online for learning topics related to Computer Science.

- [Udacity](https://in.udacity.com/)

- [Coursera](https://www.coursera.org/)

- [edX](https://www.edx.org/)

- [MIT OpenCourseWare](https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/)

- [Microsoft Docs](https://docs.microsoft.com/en-us/)

- [Microsoft Virtual Academy](https://mva.microsoft.com/)

---

# Intermediate

## Web Development

* [CS50's Web Programming with Python and JavaScript](https://youtu.be/EOZDjqwvVG8)

* [Free Code Camp](https://learn.freecodecamp.org/)

* [Udacity: Intro to HTML and CSS](https://in.udacity.com/course/intro-to-html-and-css--ud304)

* [Udacity: Intro to JavaScript](https://in.udacity.com/course/intro-to-javascript--ud803)

* Create your personal website/blog

  * [Jekyll](https://jekyllrb.com/)

  * [Hugo](https://gohugo.io/)

  * [Wordpress](https://wordpress.org/)

* [React](https://scrimba.com/learn/learnreact)

  * [Global client state management](https://redux-toolkit.js.org/tutorials/basic-tutorial)

  * [Global server state management](https://react-query.tanstack.com/quick-start)

## Mobile Development

- [Google's Mobile Courses](https://developers.google.com/training/courses/overview)

- [CS50's Mobile App Development with React Native](https://youtu.be/_P7wHN_kOv4)

## Databases

- [Kaggle SQL Summer Camp](https://www.youtube.com/playlist?list=PLqFaTIg4myu9neIs_wfWzgeOkKbiImXB6)

## Game Development

- [CS50's Introduction to Game Development](https://youtu.be/YP-PYULVx0k)

- [Unity 3D](https://unity3d.com/learn)

- [Godot Engine](https://godotengine.org/) - Godot uses GDScript, which is similar to Python

- [Love](https://love2d.org/) - Create 2D games in Lua

- [libGDX](https://libgdx.badlogicgames.com/) - Cross-platform game development in Java

- [pygame](https://www.pygame.org/) - Python library built on top of [SDL](http://www.libsdl.org/)

- [Phaser](http://phaser.io/) - Desktop and mobile HTML5 game framework

## Open Source

- [Up For Grabs](http://up-for-grabs.net/) - List of projects which have curated tasks specifically for new contributors.

- [issuehub.io](http://issuehub.io/) - Contribute to Open Source. Search issue labels to find the right project for you!

- [First Timers Only](http://www.firsttimersonly.com/) - Friendly Open Source projects should reserve specific issues for newbies.

- [Your First PR](http://yourfirstpr.github.io/) - Start contributing to Open Source with great starter issues on GitHub and elsewhere.

- [Awesome First PR Opportunities](https://github.com/MunGell/awesome-for-beginners) - A list of awesome beginners-friendly projects.

- [Codetriange](https://www.codetriage.com/) - Help out your favorite open source projects and become a better developer while doing it.

- [Pull Request Roulette](http://PullRequestRoulette.com) - Pull requests (or PRs) submitted for review.

- [Codetribute](https://codetribute.mozilla.org/) - Find your first code contribution with Mozilla.

- [What Can I Do For Mozilla](https://whatcanidoformozilla.org/)

## Software Development

- [.NET](https://dot.net/videos)

  - [Entity Framework Core](https://aka.ms/Learn-EF-Core)

---

# Advanced

## Machine Learning

- [Coursera](https://www.coursera.org/learn/machine-learning) - Machine Learning by Andrew NG using Matlab.

- [Udacity](https://in.udacity.com/course/intro-to-machine-learning--ud120) - Intro to ML using Scikit-Learn.

- [Google](https://developers.google.com/machine-learning/crash-course/prereqs-and-prework) - Machine Learning Crash Course using Tensorflow.

- [YouTube](https://www.youtube.com/playlist?list=PLOU2XLYxmsIIuiBfYad6rFYQU_jL2ryal) - Machine Learning Recipes with Josh Gordon.

- [Foundations of Machine Learning](https://bloomberg.github.io/foml/#home) - 30 lecture training course by Blooomberg.

## Deep Learning

- [Fast.ai](http://course.fast.ai/) - 7 week course on Practical Deep Learning

- [Udacity](https://in.udacity.com/course/deep-learning--ud730)

- [Coursera](https://www.coursera.org/specializations/deep-learning)

- [Google Code Labs](https://codelabs.developers.google.com/codelabs/cloud-tensorflow-mnist/#0) - TensorFlow and deep learning, without a PhD

## Data Science

- [Learning From Data](https://work.caltech.edu/telecourse.html) - Yaser Abu-Mostafa, Caltech

- [Programming with Python for Data Science](https://www.edx.org/course/programming-with-python-for-data-science) - Microsoft

- [Kaggle](https://www.kaggle.com/) - Data Science competitions

- [Data Science Tutorial](https://www.scaler.com/topics/data-science/)

## Artificial Intelligence

* [Elements of AI](https://www.elementsofai.com/)

* [Udacity](https://in.udacity.com/course/intro-to-artificial-intelligence--cs271) - Intro to AI by Peter Norvig and Sebastian Thrun

* [Microsoft AI School](https://aischool.microsoft.com/learning-paths)

* [Microsoft AI Professional Program](https://academy.microsoft.com/en-us/professional-program/tracks/artificial-intelligence/)

* [AI Adventures](https://www.youtube.com/playlist?list=PLIivdWyY5sqJxnwJhe3etaK7utrBiPBQ2) - Video series by Google Cloud Platform

* [edX](https://www.edx.org/course/artificial-intelligence-ai-columbiax-csmm-101x-0) - [Berkeley](http://aima.cs.berkeley.edu/)'s CS 188, offered through edX

## Augmented Reality

- [Google ARCore](https://developers.google.com/ar/)

## Cyber Security

- [Cybrary](https://www.cybrary.it/catalog/?level=beginner)

## DevOps

- [Docker](https://www.katacoda.com/courses/docker)

- [OpenShift](https://learn.openshift.com/developing-on-openshift/)

- [Kubernetes](https://www.katacoda.com/courses/kubernetes)

- [Jenkins](https://www.katacoda.com/courses/cicd)

---

# Developer Programs

## Technical Student/Developer Programs

- [Alexa Student Influencers](https://developer.amazon.com/en-in/alexa/alexa-student-influencer)

- [Dell Campassadors](http://www.dellcampassador.com/)

- [Facebook Developer Circles](https://developers.facebook.com/developercircles)

- [GitHub Campus Experts](https://education.github.com/students/experts)

- [Google Developer Experts](https://developers.google.com/community/experts)

- [Google Developer Student Clubs](https://developers.google.com/community/dsc/organizers)

- [HackerEarth Campus Ambassadors](https://www.hackerearth.com/docs/wiki/campus/introduction/)

- [HackerRank Campus Ambassadors](https://www.hackerrank.com/campus-ambassador-program)

- [KPMG Ambassadors](https://home.kpmg/pl/en/home/careers/students-and-graduates/student-programs/kpmg-ambassadors.html)

- [Microsoft Student Partners](https://studentpartners.microsoft.com/)

- [Mozilla Campus Clubs](https://campus.mozilla.community/)

- [Mozilla Tech Speakers](https://events.mozilla.org/techspeakers)

- [Mozilla Reps](https://reps.mozilla.org/)

- [Skillenza Campus Hustlers](https://skillenza.com/campus-ambassador)

- [Unity Student Ambassadors](https://unity3d.com/student-ambassadors)

---

## Summer Student Programs

- [IISc Summer School](https://events.csa.iisc.ac.in/summerschool2018/)

- [Google Summer of Code](https://summerofcode.withgoogle.com/)

- [Google Season of Docs](https://developers.google.com/season-of-docs/)

- [Crio Summer of Doing](https://crio.do/csod)

- [IITR Spark](http://spark.iitr.ac.in/)

- [FossAsia OpenSource](https://fossasia.org/internship)

---

## Winter Student Programs

- [Kharagpur Winter of Code](https://kwoc.kossiitkgp.org/)

---

## Women In Tech Programs

- [Google's Women Techmakers](https://www.womentechmakers.com/)

- [Django Girls](https://djangogirls.org/)

- [Outreachy](https://www.outreachy.org/)

- [Learn IT, Girl!](https://www.learnitgirl.com/)

## Annual Hackathons

A list of annually conducted major hackathons and developer centric initiatives, sorted in chronological order of registration period.

- [Feb: Google Kick Start](https://codingcompetitions.withgoogle.com/kickstart/) - Algorithmic challenges designed by Google engineers.

- [Mar: Google Code Jam](https://code.google.com/codejam/) - Solve algorithmic problems in a fixed amount of time.

- [Jul: Microsoft Imagine Cup](https://imaginecup.microsoft.com/) - Resolve some of the world's toughest challenges with technology.

- [Sep: NASA Space Apps Challenge](https://www.spaceappschallenge.org) - International mass collaboration focused on space exploration.

- [Oct: DigitalOcean Hacktoberfest](https://hacktoberfest.digitalocean.com/) - Support open source and earn a limited edition T-shirt.

- [Nov: GitHub Game Off](https://gameoff.github.com/) - Spend one month creating games based on a theme.

- [Dec: 24 Pull Requests](http://24pullrequests.com) - Contribute to projects for 24 days leading up to christmas.