nbdev
xonsh
nbdev | xonsh | |
---|---|---|
45 | 112 | |
4,744 | 8,023 | |
0.6% | 1.3% | |
6.5 | 8.9 | |
8 days ago | 4 days ago | |
Jupyter Notebook | Python | |
Apache License 2.0 | GNU General Public License v3.0 or later |
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.
nbdev
- The Jupyter+Git problem is now solved
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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
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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.
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Startups are in first batch of GitHub OS Accelerator
9. Nbdev: Boost developer productivity with an exploratory programming workflow - https://nbdev.fast.ai/
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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
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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
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Any experience dealing with a non-technical manager?
nbdev: jupyter notebooks -> python package
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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.
xonsh
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This Week In Python
xonsh – Python-powered, cross-platform, Unix-gazing shell
- FLaNK Stack Weekly 19 Feb 2024
- Xonsh is a Python powered shell
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Xonsh: Python-powered, cross-platform, Unix-gazing shell
You need to downgrade ptk version. Look here - https://github.com/xonsh/xonsh/issues/5241#issuecomment-1961...
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Google ZX – A tool for writing better scripts
Friends, I'm not saying that tools like zx are not good. I do like to write some scripts using js/ts. I believe pythoners prefer https://xon.sh/ . Perl is also attractive and interesting. Fish is friendly.
However, I still believe that posix-shell has its own advantages. The balance among size, code length, and expressiveness. I think the only possible competitors are tcl and perl, maybe lua.
- Xonsh – A Python-Powered Shell
- Xonsh
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Shh: Simple Shell Scripting from Haskell
Those of you who use (or used) this as your shell: care to share your experience?
It seems a lot less full-featured than https://xon.sh/, but maybe you don't need a lot of bells and whistles for regular usage. I mostly run build, execute, and install commands.
I'm somewhat enticed at the possibility of being able to wrap common executables into forms that are typed (like nushell or elvish) and manipulate them in a way that leverages the type checker.
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Marcel the Shell
In that case, is it even more similar to xonsh?
https://xon.sh/
- Shshsh is a bridge connects Python and shell
What are some alternatives?
papermill - 📚 Parameterize, execute, and analyze notebooks
nushell - A new type of shell
ploomber - The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️
fish-shell - The user-friendly command line shell.
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]
ipython - Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
jupytext - Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts
oh-my-bash - A delightful community-driven framework for managing your bash configuration, and an auto-update tool so that makes it easy to keep up with the latest updates from the community.
rr - Record and Replay Framework
PowerShell - PowerShell for every system!
Jupyter-PowerShell - Jupyter Kernel for PowerShell
zx - A tool for writing better scripts