jupytermosaic
nbdev
jupytermosaic | nbdev | |
---|---|---|
5 | 45 | |
30 | 4,755 | |
- | 0.9% | |
3.9 | 6.5 | |
10 months ago | 13 days ago | |
Jupyter Notebook | Jupyter Notebook | |
GNU General Public License v3.0 only | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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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.
jupytermosaic
- Why is your data tech stack?
- The hatred towards jupyter notebooks
- 🧩 drag'n drop Python dashboards inside VS Code - looking for feedback
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Weekly Entering & Transitioning Thread | 06 Feb 2022 - 13 Feb 2022
New plug-in to layout jupyter notebook into a dashboard-like set of nested and side by side cells. Great for zoom presentations without scrolling between code, results, and text. https://github.com/robertstrauss/jupytermosaic
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How do you deal with Jupyter notebook debt?
It's not a miracle cure but if you want a way to make Jupiter notebooks a lot easier to read and be able to present them in day zoom without ludicrous levels of scrolling check out this GitHub plug in for jupyter notebook https://github.com/robertstrauss/jupytermosaic
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.
What are some alternatives?
papermill - 📚 Parameterize, execute, and analyze notebooks
ploomber - The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️
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]
jupytext - Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts
rr - Record and Replay Framework
Jupyter-PowerShell - Jupyter Kernel for PowerShell
dbt-core - dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.
black - The uncompromising Python code formatter
Nim - Nim is a statically typed compiled systems programming language. It combines successful concepts from mature languages like Python, Ada and Modula. Its design focuses on efficiency, expressiveness, and elegance (in that order of priority).
rust-jmdict - Rust library for access to the JMdict
BestPractices - Things that you should (and should not) do in your Materials Informatics research.
voila - Voilà turns Jupyter notebooks into standalone web applications