Essentials-of-Compilatio
programming-math-science
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Essentials-of-Compilatio
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The dragon compiler book (2nd edition) is a great book
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.
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Why Learn Compilers
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...
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Can we create a thread for some of the best materials on CS available online?
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/
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CS 6120: Advanced Compilers: The Self-Guided Online Course
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/
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Essentials of Compilation [book and video lectures]
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...
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An Incremental Approach to Compiler Construction [pdf]
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...
programming-math-science
- Can we create a thread for some of the best materials on CS available online?
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Ask HN: Does anybody still use bookmarking services?
For some types of bookmarks I started to use a GitHub repositories with a markdown document in them. Those are my bookmarks collected mainly through HN:
- A list of freely available articles, tutorials, book about programming, math and science: https://github.com/bobeff/programming-math-science
- A list of open source games: https://github.com/bobeff/open-source-games
- Programming, Math, Science: A list of links to useful resources
- Programming, Math, Science
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Programming, Math, Science: A list with links to useful resources
Programming, Math, Science: A list with links to useful resources - https://github.com/bobeff/programming-math-science