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anu0012 / awesome-computer-science-opportunities

An awesome list of events and fellowship opportunities for Computer Science students
MIT License
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Add new content #1

Open anu0012 opened 6 years ago

anu0012 commented 6 years ago

If you know anything related to the current sections you can add.

nimiTheWinner commented 6 years ago

Another useful resource for web development is mozilla developer network. check out - https://developer.mozilla.org/en-US/docs/Learn

anu0012 commented 6 years ago

Added. Thanks @nimiTheWinner

bartMoskala commented 6 years ago

https://www.pluralsight.com/ offers many high quality courses related to Software Development

anu0012 commented 6 years ago

Thanks @bartMoskala

ikayz commented 6 years ago

https://www.tutorialspoint.com/ has good tutorials on not just web development but programming and databases.

ExpandedMind commented 6 years ago

For data science I suggest this very good site https://www.datasciencecentral.com/ which is my default news feed for things related to big data, machine learning and more

anu0012 commented 6 years ago

@AjaxianK thanks. It's really a nice resource.

Narayanaio commented 5 years ago

Hai @anu0012 great thought 👍 . I think CS50 course will be very helpful for establishing all the fundementals of computer science. Many other free courses are also available in the edx 's website. we just need to :

jpochetedmead commented 4 years ago

I suggest this site:

CodePen is an online community for testing and showcasing user-created HTML, CSS and JavaScript code snippets. It functions as an online code editor and open-source learning environment, where developers can create code snippets, called "pens," and test them.

div-dm17 commented 3 years ago

In Field of Web Development specially HTML & CSS check out this site Learn to Code HTML & CSS great content for HTML &CSS. You can add DevDocs an open source documentation for all popular language, technology.

0304ajay commented 1 year ago

Hi I am ajay I guess the courses related to Algorithms in coursera are very good which is handeled by princenton university The course name are Algorithms Part1 and Algorithms Part 2 which are free to watch [https://www.coursera.org/learn/algorithms-part1/home/info]() coursera.org/learn/algorithms-part2?