usql
nbdev
usql | nbdev | |
---|---|---|
21 | 45 | |
8,634 | 4,755 | |
0.9% | 0.9% | |
9.2 | 6.5 | |
7 days ago | 8 days ago | |
Go | Jupyter Notebook | |
MIT License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
usql
- xo/usql: Universal command-line interface for SQL databases
- Usql – Universal command-line interface for SQL databases
-
PRQL a simple, powerful, pipelined SQL replacement
Also all languages has an query-builder / ORM so the benefit of something like PRQL is possibly not big enough to merit it as an additional dependency.
My suggestion:
Make PRQL a cli tool that can be used by allowing users to connect to a database in a similar fashion as something like usql (https://github.com/xo/usql),
-
Is there a CLI interface to browse SQL databases?
take a look at: https://github.com/xo/usql
-
New Open source Go projects looking for contributors
https://github.com/xo/usql has some good first issues
-
usql 0.11.0
There's a new release of usql that adds even more autocomplete and fixes a bunch of issues: https://github.com/xo/usql/releases/tag/v0.11.0
- 5 Useful Database Command Line Tools
- usql
-
Literate programming is much more than just commenting code
I am not a big fan of the complex literate programming style involving code-generation which this article talks about.
But I recently discovered that Google's zx [1] scripting utility supports executing scripts in markdown documents and I combined it with httpie [2] and usql [3] for a bit of quick and dirty automation testing and api verification code and it worked out pretty well.
[1] https://github.com/google/zx#markdown-scripts
[2] https://github.com/httpie/httpie
[3] https://github.com/xo/usql
- usql v0.9.4
nbdev
- The Jupyter+Git problem is now solved
-
What is literate programming used for?
One example I've seen is ML/DL folks using jupyter notebooks to develop DL libraries in jupyter notebooks, see https://github.com/fastai/nbdev
-
GitHub Accelerator: our first cohort and what's next
- https://github.com/fastai/nbdev: Increase developer productivity by 10x with a new exploratory programming workflow.
-
Startups are in first batch of GitHub OS Accelerator
9. Nbdev: Boost developer productivity with an exploratory programming workflow - https://nbdev.fast.ai/
-
Start learning python for a Statistician with SAS experience and little R experience
See if you like nbdev way of working with data through python and jupyter. nbdev is an optional part that will create python packages from jupyter notebooks. Also even the simple tutorials are opinionated and will guide you to unit test your code and write CICD pipelines.
- FastKafka - free open source python lib for building Kafka-based services
-
isn't this just too much for a take home assignment?
You probably don’t have time for this for the purposes of your task, but I will also throw in the recommendation of nbdev especially if you’re a Python person. I haven’t had a project to use it on yet, but I’ve gone through the docs and the walkthrough and it seems like a great framework for starting potential projects with all the infrastructure needed for if/when they eventually get big and need all the packaging and stuff
-
Any experience dealing with a non-technical manager?
nbdev: jupyter notebooks -> python package
-
Resources to bridge the gap between jupyter notebooks and regular python development
Take a look at https://github.com/fastai/nbdev - haven't used it but supposedly the whole if fast.ai library was written that way. It sounds like a natural direction in your scenario - allowing your to keep working in a familiar environment and still producing production ready code (will, at least in paper 😅)
- Rant: Jupyter notebooks are trash.
What are some alternatives?
go-sitemap-generator - go-sitemap-generator is the easiest way to generate Sitemaps in Go
papermill - 📚 Parameterize, execute, and analyze notebooks
hystrix-go - Netflix's Hystrix latency and fault tolerance library, for Go
ploomber - The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️
boilr - :zap: boilerplate template manager that generates files or directories from template repositories
dbt - dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications. [Moved to: https://github.com/dbt-labs/dbt-core]
Task - A task runner / simpler Make alternative written in Go
jupytext - Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts
ngrok - Unified ingress for developers
rr - Record and Replay Framework
fzf - :cherry_blossom: A command-line fuzzy finder
Jupyter-PowerShell - Jupyter Kernel for PowerShell