JokeAPI VS public-api-lists

JokeAPI

https://jokeapi.dev/ - site for generate random jokes in English language

Typhoon Orchestrator is a great way to deploy ETL workflow on AWS Lambda. In this tutorial we intend to show how easy to use and versatile it is by deploying code to Lambda that gets a random joke from https://jokeapi.dev once a day and sends it to your telegram group.

We will get a random joke from https://jokeapi.dev/ API. It's free with some limitation on hit rate etc.

Axios as an HTTP client. It fetches random jokes from https://jokeapi.dev.

Sure but I don't know what's there to say. It is just a dashboard I made with plain old Javascript, php and HTML. Raspberry's stats are updated every minute and every 10 minutes there is an ajax call to the services to check for a 200 HTTP status response, so that their lid will remain green. Ah yes also there is a call to the jokes api to get a joke every time it is loaded. Hm, writing this I realized there are some things that should have been told. Sorry. Thanks for your reaction though. :)

I searched for a free and open source Joke API, and found one on GitHub at https://github.com/Sv443/JokeAPI.

I have a few e2e projects, if that might help. While they can be deployed to AWS via the included terraform file (costs money) you can run them locally with docker. I list the projects from simplest to more complicated 1. I’d recommend starting at https://www.startdataengineering.com/post/data-engineering-project-to-impress-hiring-managers/ this is the simplest. 2. Once you have it running, and get an overview of the components( docker, ec2, Postgres), then I’d recommend looking at this article https://www.startdataengineering.com/post/data-engineering-projects-with-free-template/ to understand how the components work together. 3. Try out the pipeline with a data source if your choosing. I use https://github.com/public-api-lists/public-api-lists to get some data API. 4. Once you get a good understanding of how data is pulled and loaded along with how it’s scheduled, then I’d recommend looking at this airflow project https://www.startdataengineering.com/post/data-engineering-project-for-beginners-batch-edition/ I posted about this a while back https://www.reddit.com/r/dataengineering/comments/ygieh8/data\_engineering\_projects\_with\_template\_airflow/ Hope this helps. LMK if you have any questions.

And then try out the pipeline with a data source if your choosing. I use https://github.com/public-api-lists/public-api-lists to get some data API.

Suggest to take a look through https://github.com/public-api-lists/public-api-lists

Sounds like you're stuck in tutorial purgatory. It's time to drop the training wheels and apply the knowledge you've learned to some personal projects. Pickup pygame, or build a web scraper. Here's a list of free public api's. This might get you started. https://github.com/public-api-lists/public-api-lists

Public-api-lists (fork of original one I linked)

public-api-lists Another great repository to find good APIs for development. It has more than 4K stars on GitHub. These APIs are more inclined towards the development side. It is also organized into suitable categories.