8 karma · joined June 7, 2017
I would not consider SES "shit" because it does not baby-sit you throughout the setup process. The documentation was solid, and I had a lot of freedom to customize a solution specific to my use case. Overall working SES has been an enjoyable experience.
But maybe my mind will change 1 billion emails later haha we'll see.
That's one of the reason's I'm interested in delta-rs [1], which has delta lake bindings for Python. Would love to read a delta lake table into a native python object without the need for spark.
There are multiple ways to accomplish your CSV challenge, depending on your backend structure, but one possible could be to use a tool such as the jQuery CSV plugin[1] to read your CSV files and convert them to Javascript objects. You could then render your HTML by iterating over the rows of that CSV in a <table> element. The Airframe source would provide all the the CSS needed to display your table in one of its pretty formats - would just be a matter of setting the table and its children's class attributes[2].
[1] https://github.com/typeiii/jquery-csv [2] http://dashboards.webkom.co/react/airframe/tables/tables#