- One-click sharing powered by Ploomber Cloud: https://ploomber.io Note that JupySQL is a fork of ipython-sql; which is no longer actively developed. Catherine, ipython-sql's creator, was kind enough to pass the project to us (check out ipython-sql's README). We'd love to learn what you think and what features we can ship for JupySQL to be the best SQL client! Please let us know in the comments! - Source: Hacker News / 5 months ago
Developing end-to-end data science infrastructure can get complex. For example, many of us might have struggled to try to integrate AWS services and deal with configuration, permissions, etc. At Ploomber, we’ve worked with many companies in a wide range of industries, such as energy, entertainment, computational chemistry, and genomics, so we are constantly looking for simple solutions to get them started with... Source: over 1 year ago
If you like working locally with notebooks, you can run via the free tier of ploomber, that'll allow you to get the Ram/Compute you need for the bigger models as part of the free tier. Also, it has the historical executions so you don't need to remember what you executed an hour later! Source: over 1 year ago
That's what we do for lineage with https://ploomber.io/. Source: over 1 year ago
NBClient supports running notebooks via CLI for the most basic use cases. However, for more sophisticated execution options, consider the Ploomber! - Source: dev.to / almost 2 years ago
Now that I'm on the other side (I have to hire people), I'm starting to see things from the company's perspective. If you interview at a company and they don't take you because you aren't able to derive a mathematical formula, then you probably have to reflect if that's a place where you want to work. Maybe the team is more research-oriented, and you want more practical work. The interview tells you a lot about... Source: about 2 years ago
I recommend checking out Ploomber (https://ploomber.io), it was designed to have seamless integration with Jupyter and SQL (and also supports .sql files). You can generate full sql pipelines that ends with reports. We've also wrote a guide on writing clean SQL at scale (https://ploomber.io/blog/sql/). Source: about 2 years ago
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