BuildYourOwnLisp VS awesome

Build Your Own Lisp

Create your own meta-circular evaluator: https://www.buildyourownlisp.com/

I don't know about C++ but there is this incredible course on C by learning to build your own Lisp. https://www.buildyourownlisp.com/

I find the best way to learn technical topics is to build a simplified version of the thing. The trick is to understand the relationship between the high level components without getting lost in the details. This high level understanding then helps inform you when you drill down into specifics.

I think this book is a shining example of that philosophy: https://www.buildyourownlisp.com/. In the book, you implement an extremely bare-bones version of lisp, but it has been invaluable in my career. I found I was able to understand nuanced language features much more quickly because I have a clear model of how programming languages are decomposed into their components.

If you still want to produce a toy project in C I would suggest to build your own LISP ;-)

If you're after a lisp, MAL on Github (By kanaka) and https://www.buildyourownlisp.com/ are good.

Build your own Lisp is cool but offloads the language grammar and the parsing to the author's mpc library, this is already way overkill for what I'd like to do.

Writing a Lisp - https://www.buildyourownlisp.com/

Lisps are also a good language if you want to know how languages work. They are very easy to make an interpreter for. There are good tutorials for that at https://github.com/kanaka/mal and https://www.buildyourownlisp.com/.

Anyone have any input on:

https://www.buildyourownlisp.com/

It's been in my bookmarks for a long time but I've never really had time to really start it. The "who is this for" page say:

"This book is for anyone wanting to learn C, or who has once wondered how to build their own programming language.".

Well, I'm fairly competent in C (but not great) but would like to get a glimpse of what it's like to build my own language. Is it worth the time?

In the days before "google it" was a synonym for "find it", we had different curated link sites, and even pyhsical magazines with hand-curated lists of links that people interested in a certain topic might find interesting. This still exists today in some forms, for example the "awesome lists" that you see for some programming topics, for example https://github.com/sindresorhus/awesome .

Just like there was a time when 90%-99% of all email traffic was viagra spam, I imagine in the future most of the internet by volume will be AI-generated trash, and those in the know will still circulate lists of where the other 1% can be found.

An even brighter scenario is that someone, maybe a kid tinkering in their garage, figures out how to make a search engine that finds the good stuff, doesn't immediately die to AI bot farms' SEO efforts, and is financially viable.

2. Awesome Lists

Software Engineering Blogs

He appears to be the original creator of the “Awesome X” repo: https://github.com/sindresorhus/awesome

Awesome React

I'm just going to leave this here: awesome git repo

You don't need any particular requirement to consult issues section on GitHub. If you need a place to follow along this post, my chosen repository for today's blog post is Awesome.

I have an awesome list GitHub repository that needs a few icons & a banner made. I was wondering if any students in graphic design would be willing to commission a few for me? I'm willing to pay either hourly, or by the project and can pay cash or venmo. Note that the art will end up as CC0, so you'd essentially be waiving any right to the artwork.

yah, come to think of it in the curated space, this reminds me of that awesome X family of github pages. Looks like someone compiled a bunch of them here https://github.com/sindresorhus/awesome#databases. I have found those to be highly valuable treasure troves pregnant with rich and relevant information.

10. Awesome