Essentials-of-Compilation VS Essentials-of-Compilatio

if you like compilers you should this book out https://github.com/IUCompilerCourse/Essentials-of-Compilation.

Essentials of compilation by Dr. Siek. There’s a GitHub repo. Just navigate to the releases and you will find a pdf https://github.com/IUCompilerCourse/Essentials-of-Compilation/releases/tag/python-MIT-press. This book is really good and it’s practical. There’s a lot of code and it guides you along the way. So it’s a great book to self study. To supplement this you can buy Engineering a Compiler by cooper. This is more comprehensive but there’s no code in this book, only pseudo code. Start with essentials of compilation my friend. It will teach you everything you need.

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/

This compiler book explains monadic normal form which it’s anf but not 100 percent because of the difference in how let expressions are represented. https://github.com/IUCompilerCourse/Essentials-of-Compilation

I learned to write compilers by reading "Essentials of Compilation." You can find a free pdf in the book's repo https://github.com/IUCompilerCourse/Essentials-of-Compilation/releases/tag/python-MIT-press. The book is published my MIT Press although right now the racket version is out. the python version is coming out soon. the link that I just shared is for the python version. This is a great book . I recommend it

One of the best (free/open source) books for learning how to write a compiler is Essentials of Compilation. It comes in two flavors: Racket and Python. I'm less familiar with the Python version, but it might be what you're looking for.

Not sure about specifics, but maybe https://github.com/IUCompilerCourse/Essentials-of-Compilation is worth a look?

There are pdfs in the releases section: Python - https://github.com/IUCompilerCourse/Essentials-of-Compilation/releases/download/python-MIT-press/book.pdf

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...