guide VS awesome

I'm pumped to learn Python. Are there any learning tools or docs I should focus on? For Go I liked the Uber Go Style Guide which represents a modern and idiomatic approach to Go and is a good tour of the language itself (for experienced engineers.) Is there something similar for Python?

https://github.com/uber-go/guide/blob/master/style.md - must have, write good go code from the beginning.

I really recommend reading: - Effective Go: https://go.dev/doc/effective_go#errors - Style Guide(by Uber): https://github.com/uber-go/guide/blob/master/style.md

As you see - there are no reference to any technology or framework. There are a lot of best-practices for almost any framework, so you can choose an appropriate one. For example - if you're a rails developer, then you can check https://github.com/rubocop/ruby-style-guide and https://github.com/rubocop/rails-style-guide but if you're a golang developer - https://github.com/uber-go/guide/blob/master/style.md and https://developers.mattermost.com/contribute/more-info/server/style-guide/

Read ubers style guide first, its good to have some base rules that you follow when beggining. Heres the link: https://github.com/uber-go/guide/blob/master/style.md.

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