A lot of cool archives are designed for interactive search (such as the Women and Gender Marginalized Composers Repertoire Database, Baseball Reference, or the Tulsa Historical Society’s photo archive), However, this list is for developers, not for people who like to scan fascinating data collections. They are downloadable (most are CSV) or accessible via an API. These datasets are all free to access, though a few require you to create a site login. I like to think you’ll use them as you teach yourself about Redis features. With that in mind, I offer several entertaining datasets for inspiration – from astronomy to science fiction to parking meter revenue – many of which support a range of data types.

In my past, such projects have included creating dungeon master tools, food co-op ordering systems, and software developer market research. Which is to say: Why not have fun? Choose a starter project that lets you play. On the other hand, you don’t want to spend months debugging a practice application. You need to experiment with realistic coding scenarios, including edge-cases, so the starter project should represent the way you’ll use the tool in real life. Good starter projects – once you’re done with “ Hello, world,” – accomplish something, however trivial, even if they have nothing to do with work.

Your motivation for learning the new skill could be anything: preparing for a career upgrade, curiosity about a hot, new programming language, or an intent to better exploit features in an existing development environment. Teaching yourself new tech skills often requires a “starter project” and data to support that project. When you experiment with a new-to-you data science skill, you need some sort of data to work with.

Backblaze speedtest