datastation

Unlike brython, pyodide or coldbrew you'll need a server to run the transcrypt program to get JavaScript from your Python. I use pyodide at the moment in datastation [0] to provide an in-browser-memory demo environment. It means that environment is completely free other than static hosting costs while you get a nice (demo) computational notebook in your browser. And while brython only implements a subset of Python and breaks some things like dict access for JavaScript interop, pyodide and coldbrew are complete cpython environments just running on wasm through emscripten. The biggest issue with these binaries on wasm is that they take forever to load each time you come to the app. It takes like 20-30s to load. That's a pretty bad experience for my use case. So I'm still testing every implementation I see out to find the right combo of fast

I quit Oracle a few months ago. The good part is that I get spend more time on fun blog posts and projects like datastation [0]. The bad part is it's still challenging to find contract work that is enjoyable and pays well. Most of all though I miss having teammates/peers. That may be the thing that drives me fastest back to full time employment. [0] https://github.com/multiprocessio/datastation

My workflow for the longest time has been: use a SQL GUI to run SQL queries but then dump that to CSV so I could load in Excel and make graphics I could embed in a presentation or sent in an email. I don't think Excel or Google Sheets are the right interface for diverse data sources that have different query styles and different connection types. Visually the space in each Cell is just pretty constrained. I am building an open source tool [0] for these kinds of workflows where you need to combine queries, scripting in Python/JavaScript/etc, graphing, dashboards, email exports in one place. It's very similar to tablum.io (this post) but instead of doing any ETL it's just a smart client for joining data client-side. [0] https://github.com/multiprocessio/datastation

SEEKING WORK | US | Remote I build custom reporting dashboards and recurring exports; combining data from any of your existing systems (databases, logging stack, SalesForce, etc.) on top of an open source IDE (https://github.com/multiprocessio/datastation). No need for hard to maintain ETL processes or expensive reporting tools. Examples of the kinds of questions I can help you answer in these dashboards and recurring exports: * How many users by category used feature X in the last 30/60/90 days * What was the 95-99 percentile size and amount of time for API requests by user category * How many (and what kind of) users would benefit if we improved X? * What (kind of) customers have been using the app/api less in the last few months? Helping you break down performance and usage by business impact. Email me at phil at multiprocess.