CollegeCompendium VS Essentials-of-Compilatio

A catalogue/search engine for university courses in computer science, math, and several other subjects that is available publicly:

https://collegecompendium.org/

You can also add https://collegecompendium.org as a way to find public university CS courses to audit!

We're really excited to partner with FreeCodeCamp to share what we've learned through our experience developing College Compendium.

Also feel free to check out this site (I'm not the creator) for university courses. The courses in that site may not have videos but it has notes and assignments for most of the courses.

Yep! It is open source so if there is an area you'd like it to expand to, feel free to contribute here (https://github.com/GoldinGuy/CollegeCompendium)

You can try this book if you want something that came out this year https://github.com/IUCompilerCourse/Essentials-of-Compilatio.... Go to the releases to either get the racket version or python version. But I mean cmu uses the dragon book second edition for a graduate level compiler optimization class.

This paper is my favorite introduction to compilers, it's short and hands-on: http://scheme2006.cs.uchicago.edu/11-ghuloum.pdf

There is a book-length expansion of this paper that goes into more detail: https://github.com/IUCompilerCourse/Essentials-of-Compilatio...

Introduction to Computing"

https://dcic-world.org/

# Programming Language Theory:

"Programming Languages: Application and Interpretation"

https://www.plai.org/

# Compilation:

"Essentials of Compilation: An Incremental Approach in Python"

https://github.com/IUCompilerCourse/Essentials-of-Compilatio...

# Database Systems:

"CMU: Intro to Database Systems"

https://15445.courses.cs.cmu.edu/

"CMU: Advanced Database Systems"

https://15721.courses.cs.cmu.edu/

# Calculus I/II & Real Analysis

"A Course in Calculus and Real Analysis"

https://link.springer.com/book/10.1007/978-3-030-01400-1

"A Course in Multivariable Calculus and Analysis"

https://link.springer.com/book/10.1007/978-1-4419-1621-1

# Linear Algebra & ML:

* A Series of books by prof. Joe Suzuki without using any external library for the implementations *

"Statistical Learning with Math and Python"

https://link.springer.com/book/10.1007/978-981-15-7877-9

"Sparse Estimation with Math and Python"

https://link.springer.com/book/10.1007/978-981-16-1438-5

"Kernel Methods for Machine Learning with Math and Python"

https://link.springer.com/book/10.1007/978-981-19-0401-1

# Discrete Mathematics:

"CMU 21-228 Discrete Mathematics (prof. Poh-Shen Loh"

https://www.math.cmu.edu/~ploh/2021-228.shtml

# Cryptography:

"Serious Cryptography: A Practical Introduction to Modern Encryption"

https://nostarch.com/seriouscrypto

# Problem Solving:

"Math 235: Mathematical Problem Solving"

https://www.cip.ifi.lmu.de/~grinberg/t/20f/

https://github.com/IUCompilerCourse/Essentials-of-Compilatio...

You can find a PDF and the associated course with a very minimal amount of following links.

If you are thinking of making your own language, it's also good to learn something about programming language theory, if you don't already. Many languages make mistakes that have been solved 25+ years ago. PLAI is good for that: https://www.plai.org/

I presume that's this, run in \racket mode? https://github.com/IUCompilerCourse/Essentials-of-Compilatio...

I ask because there seems to be a \python mode, too, that folks may find valuable: https://github.com/IUCompilerCourse/Essentials-of-Compilatio...

I also don't know why the ci.yml only ran for a few seconds: https://github.com/IUCompilerCourse/Essentials-of-Compilatio...

I took the IU compilers course as an undergrad and can easily say it was my favorite course. If anyone is interested, here is a link to the textbook which will cover this papers content in much finer detail:

https://github.com/IUCompilerCourse/Essentials-of-Compilatio...