bustub VS awesome-compilers

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/

The relevant classes are: https://github.com/cmu-db/bustub/blob/master/src/primer/trie.cpp and the header https://github.com/cmu-db/bustub/blob/master/src/include/primer/trie.h (you can look at the root github's repo README how to compile)

Take for example CMU's bustub DB. Great lecture material, but their own pedagogical database where you implement parts of the database.

This seems like a fairly shallow course: if you’re interested in some real awesome database hacking, I highly recommend bustub. It’s great and educational.

Not a tutorial but I completed all the assignments for CMU Database System course (link) and watched all their youtube videos before I started it (I highly recommend it, it's a great course and it's possible to submit the solutions even if you're not a CMU student. The entry code to gradescope is in the FAQ). Though, what I do is not re-writing bustub in Rust, as bustub uses 2 phase locking to achieve transaction isolation, and this uses MVCC, pretty much like Postgres (though currently much simpler). I used this resource as a starting point how it works.

There is also BusTub from CMU which I stumbled upon earlier today:

https://github.com/cmu-db/bustub

check this course from cmu

I was looking at some stuff by Fogus and discovered:

https://github.com/fogus/papers-i-love

Really good resource for a bunch of important papers.

There's also some good information for compilers on github

https://github.com/aalhour/awesome-compilers

There's a big list of resourses in aweasome-compilers, of those, the books i recomend are:

Awesome Compilers

towards lisp related data structures / algorithms (aka recursive tree data structures & algorithms).

So, no distinction between metadata vs. structual storage unless noted.

Anything beyond that tends towards masters & upper level undergraduate level material. aka review the implimentation of a programming language for algorithm & data structure usage per language features.

aka Autonoma / regular expressions backround: Lisp in Small Pieces by Christian Queinnec; ; https://github.com/aalhour/awesome-compilers; On Lisp by Paul Graham; Let over Lambda by Doug Hoyte; C 'macro's pushed to maximum effect : https://libcello.org/

    Left out Comparison of languages; Transform from lang a to lang b; and language implimentation as discussions tend to assume masters / upper level undergraduate knowledge