DataQuest Beta VS Percival

Have you consider dataquest.io ? I m thinking on subscribing there, the learning path since well balanced between theorical and practical knowledge, plus there are some pet projects initiaves. Source: about 1 year ago

I did a lot of planning, reporting and optimizations based on data when I was in digital media, so I've been applying to data focused roles. In my free time, I've also been learning Data Science via dataquest.io, hoping to take my analysis to the next level, learn new skill sets, and keep coding. Source: about 1 year ago

I recommend dataquest.io. It's an intuitive way to learn the fundamentals if you'd rather not study in a more formal manner. Source: about 1 year ago

Does it need to be a postgrad degree? If you want more hands on you might be better using Dataquest. Source: almost 2 years ago

I am using Dataquest to learn Python for Data Science there. I also got a book from O'Riley called Data Science Handbook and the Automating the Boring Stuff with Python book. SQL is good to know and comes in handy. Source: almost 2 years ago

You could theoretically use Datalog anywhere you're currently using a SELECT SQL statement - it's a declarative way to produce a set of tuples given some existing sets of tuples. But, Datalog is much better at deductive reasoning compared to SQL. There's a great interactive tutorial here: https://percival.ink/ You can also see how Souffle itself can be useful in this blog post:... - Source: Hacker News / over 1 year ago

I haven't written a parser with Chumsky, bit I've played with a little one a bit if you wanna see an example syntax. The error reporting for this project is implemented with `ariadne` which is also really slick. Parser: https://github.com/ekzhang/percival/blob/main/crates/percival/src/parser.rs Error reporting: https://github.com/ekzhang/percival/blob/main/crates/percival/src/errors.rs Datalog playground:... - Source: Hacker News / almost 2 years ago