ethereum-economic-model
nbdev
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ethereum-economic-model | nbdev | |
---|---|---|
3 | 45 | |
0 | 4,714 | |
- | 1.0% | |
0.0 | 6.9 | |
11 months ago | 7 days ago | |
Jupyter Notebook | Jupyter Notebook | |
GNU General Public License v3.0 only | Apache License 2.0 |
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ethereum-economic-model
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Tracking mentions began in Dec 2020.
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/
- 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
- Rant: Jupyter notebooks are trash.
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Fast.ai starts a corporate partnership program
You may know fast.ai as a popular deep learning course. There is also a deep learning library with the same name (https://github.com/fastai/fastai) as well as software development tools like nbdev (https://nbdev.fast.ai/).
fast.ai has been offering education and tools for free for over 7 years, and has been approached by many companies asking for help. This program offers an avenue for business to get relevant professional services and support.
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Reproducible environment in nbdev with Pipenv
If you’re reading this, you’re probably familiar with nbdev, a system for creating Python libraries from Jupyter notebooks.
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nbdev formating and linting
repos: - repo: https://github.com/fastai/nbdev rev: 2.2.10 hooks: - id: nbdev_clean - id: nbdev_export
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