nbdev
Spyder
nbdev | Spyder | |
---|---|---|
45 | 84 | |
4,744 | 8,052 | |
0.6% | 0.7% | |
6.5 | 9.9 | |
7 days ago | 5 days ago | |
Jupyter Notebook | Python | |
Apache License 2.0 | MIT License |
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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.
Spyder
- Spyder – The Scientific Python Development Environment
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I've coded in R for years, but I want to learn Python for machine learning/statistical analysis. Where to start, and which IDE?
IDE-wise, I find Spyder to be the most R-like. If you are comfortable with R Studio, maybe check it out.
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Email proves Microsoft's Activision bid is designed to eliminate Playstation
For anyone else who hadn’t heard of Spyder: https://www.spyder-ide.org/
- R user, trying to learn Python... what´s the Rstudio equivalent?
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The Best Python IDE For Mac Users - Part 1
Spyder
- PYTHON vs OCTAVE for Matlab alternative
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Why does Python look one way on my laptop and completely different in this video i wanted to watch?
Spyder - a popular editor for scientific work, the default option if you get the Anaconda implementation of Python which includes many packages used in science and engineering fields
- Too many people go to college for a hobby instead of for a major.
- Which IDE is your favorite? And which IDE would you recommend for trading
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What is your favorite IDE/Text Editor to use for Python?
I also have a fondness for Spyder, which was my first non-IDLE IDE experience. It is heavily geared toward scientific computing.
What are some alternatives?
papermill - 📚 Parameterize, execute, and analyze notebooks
Visual Studio Code - Visual Studio Code
ploomber - The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️
thonny - Python IDE for beginners
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]
Atom - :atom: The hackable text editor
jupytext - Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts
qtconsole - Jupyter Qt Console
rr - Record and Replay Framework
jupyter-book - Create beautiful, publication-quality books and documents from computational content.
Jupyter-PowerShell - Jupyter Kernel for PowerShell
jupyterlab-lsp - Coding assistance for JupyterLab (code navigation + hover suggestions + linters + autocompletion + rename) using Language Server Protocol