Essentials-of-Compilation VS tools

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

Biome is a fork of Rome, which was originally an ambitious tool written in Rust but abandoned in October 2023. It includes both a linter and a formatter, putting an end to the time-consuming difficulties associated with reconciling ESLint and Prettier rules.

When I saw the release of bun six months ago, I was not that hyped as I saw a tool that had similar ambitions, Rome, and dissapointed many. But it was different this time. It really is a drop in replacement for Node.js so you can start using it by replacing the npm and node commands in your package.json file. The main feature that captured my interest was the ability to use require and import statemtents in the same file. This allows you to keep using CommonJS modules and use import statemtents for any new modules that drop support for it. The only catch I could find so far is that if you decide to mix import and require statements, you cannot use module.exports but instead use export statement. I did exactly that and now I have a fully functional backend with admin panel that won't make your head scratch fighting with CommonJS and ESModules.

Once you build a simple Vite backend integration, try not to complicate Vite's configuration unless you absolutely must. Vite has become one of the most popular bundlers in the frontend space, but it wasn't the first and it certainly won't be the last. In my 7 years of building for the web, I've used Grunt, Gulp, Webpack, esbuild, and Parcel. Snowpack and Rome came-and-went before I ever had a chance to try them. Bun is vying for the spot of The New Hotness in bundling, Rome has been forked into Biome, and Vercel is building a Rust-based Webpack alternative.

It definitely existed by the time rome_console/biome_console was created! The crate was created 2 years ago[1] and miette was released more than 2 years ago[2]. By the time rome_console was created miette was on v4, so presumably somewhat mature.

[1]: https://github.com/rome/tools/commits/main/crates/rome_conso...

[2]: https://crates.io/crates/miette/versions

Biome formats and lints your JavaScript and TypeScript code in a fraction of a second. Biome is the community successor of Rome Tools [0].

As part of this announcement, we have released the first stable version of Biome [1]. Join us on our Discord [2] and support us via our open collective [3].

I am one of the main maintainers of Biome. I will be happy to answer any questions :)

[0] https://github.com/rome/tools

I have no idea how true this is, but the source of the claim seems to come from here:

https://github.com/rome/tools/discussions/4302

"But in short, the company Rome Tools ran out of funding, so the core team of last year are no longer working on the project."

For now, Rome implements most of the ESLint recommended rules (including TypeScript ESLint) and some additional rules that are enabled by default. In the future, you can expect a recommended preset that is a superset of the ESLint recommended preset. So if you're not heavily customising ESLint, you should be able to use Rome.

Otherwise, most of the rules are not fine-tunable in the way that ESLint is. Rome tries to provide the experience that Prettier provided in the formatting tool: good defaults for a near-zero configuration experience. It tries to adopt the conventions of the JS/TS community. Still, some configuration is provided when the community is divided on some opinions (e.g. space vs. tab indentation, semicolons or as-needed semicolons, ...).

There is an open issue [1] for listing equivalent rules between ESLint and Rome. Expect more documentation in the future, and maybe a migration tool.

If I had been one of the founders of Rome, I could have pushed for more compatibility with ESLint. In particular, using the same naming conventions and thus the same names for most rules, and recognising ESLint ignore comments.

[1] https://github.com/rome/tools/issues/3892

Today we are going to talk about Rome. According to their github page

I must say, although it doesn't (of course) have anywhere near the configuration or plugin-capability of eslint, I've found Rome impressive so far. I have access to a range of PCs and the performance boost of a compiled binary makes a pretty big difference on a large repo on a slower machine.

Fast compilation seems very appealing. It is one of the main reason why I am interested into Go and Zig.

I recently started working with Rust for contributing to projects like Rome/tools [1] and deno_lint [2]. The compilation and IDE experience is frustrating. Compilation is slow. I am afraid that this is rooted to the inherent complexity of Rust.

[1] https://github.com/rome/tools

[2] https://github.com/denoland/deno_lint