Allows you to collaborate on RMarkdown writing through google docs. You will have to use RMarkdown syntax in google docs however, which seems even more cumbersome than plaintext integrations.
As far as I can see on the demonstration, it will also not do anything for better presentation while writing (since it isn't knitting or anything before you download from gdocs again of course). Don't know how well people would adopt this then.
karlicoss of the data liberation project HPI explains how to best store and access data moved from various points in the cloud/web/internet to your drives and why databases might not always be the best choice.
Save your grabbed data without any manipulation.
Let the manipulation happen every time you access/interpret the data.
If you have slices of data (mostly time frames), don't try to merge them on disk but save as extra files and merge on access/interpretation as well.
You can make use of databases for access caching since the last points generate some overhead for each access.
Also, a really generic template you could use is something like this: 1. Find a data blob, API, or web scrape a site for raw data you're interested in. 2. Figure out how to store that data. Do you need a relational database or maybe NoSQL? How will the records be stored and what does your data model look like? 3. Use analytics packages like numpy or something else, draw conclusions or find interesting themes about your data 4. Now do something with it! Maybe a front end to display it all. You can use Dash to build a quick and light visualization of your findings or something more full stack like a Django application or even Flask. Totally up to you.
An interesting use of loki to grab shell history, store it centrally, and then re-use it from the commandline to replace its traditional history functionality. Also includes a little tidbit on then integrating your shell history with e.g. Grafana.
Huge collection of computable, curated data from demographics to language, science & math, politics, social media. Many formats: numerical, time series, image, audio, geospatial. Can be exported as simple csv, or worked with in python notebooks on the page.
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