build-your-own-x VS public-apis

https://news.ycombinator.com/item?id=22299180

https://news.ycombinator.com/item?id=13660086

https://news.ycombinator.com/item?id=26039706

Other resources:

https://github.com/danistefanovic/build-your-own-x

https://github.com/AlgoryL/Projects-from-Scratch

https://github.com/tuvtran/project-based-learning

All suggestions are welcome,thanks in advance

Make sure that apart from learning you're using the knowledge to create something either your own idea or maybe something from https://github.com/danistefanovic/build-your-own-x (with your own twist if possible.). It helps a lot to be working on something separately and seeing the results of your new knowledge outside of a tutorial scenario.

28. Build your own X

As for exercises there are plenty of programming task websites out there, most of them are quite boring but you can use a fun one like https://adventofcode.com/ . However the best things to work on are things you actually like so do some small projects. Games (start with command line stuff like hang-man) are common, otherwise pick something from https://github.com/danistefanovic/build-your-own-x or whatever else ideas come to your mind.

My recommendation is to do a bit of both. You can avoid the "boredom" of doing a fixed problem set by doing a fun version instead: https://adventofcode.com/ (yes, it's legal outside of advent too). And for the "free projects" you do not have to come up with all ideas on your own, you can take inspirations from lists like this one: https://github.com/danistefanovic/build-your-own-x

✅ public-apis/public-apis : https://github.com/public-apis/public-apis

Public-Apis Github Repo — A list of free public APIs.

Interesting thread at https://github.com/public-apis/public-apis/issues/3104

Use curl to access a free public API and get a random joke, cat fact, or whatever.

Hot take: you don't necessarily need to do your side projects in bioinformatics strictly. There are tons of public APIs you can use to scrape data from. Obtain data and create your own dataviz projects, even for things that aren't traditionally in the bioinfo realm. A lot of the skills you learn will be applicable to biological data, even if "true" bioinfo pipelines involve some domain-specific tools like bioconductor/biopython

2. Public API Integration: - Explore and select relevant public APIs from the available options at https://github.com/public-apis/public-apis. - Integrate RestKit into the project to handle RESTful API communication. - Configure NSURLSession and OAuth2 for authentication with the selected APIs. - Implement API calls to gather data about IoT devices, their status, updates, and vulnerabilities. - Thoroughly test and verify the API integration, handling authentication, and error scenarios.