ipykernel
nbdev
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ipykernel | nbdev | |
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7 | 45 | |
613 | 4,740 | |
2.0% | 0.9% | |
8.5 | 6.5 | |
7 days ago | about 1 month ago | |
Python | Jupyter Notebook | |
BSD 3-clause "New" or "Revised" License | 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.
ipykernel
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Why am I so terrible at Python?
The way I work is to use an interactive IPython REPL. It has a lot of features to make interactive development comfortable. I solve a problem incrementally, attempting to get a little piece of code right many times, changing it a little each time to fix bugs. Then I go back and copypaste the lines into a file and tidy it up a little. Then I go back to IPython and solve the next little stage of the problem. Maybe this style of development will be more fitting for you?
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Importing?
IPython
- IPYTHON? What's that??
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Django python manage.py shell up arrow in Git Bash
If you're talking about history in the python shell, you're probably looking for IPython.
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As we smash many of our previous COVID-19 records yet again, here's the recent cases broken down by sex and age groups.
For this kind of thing I mostly use Jupyter and the IPython kernel, with data analysis packages like numpy and pandas and matplotlib for charts.
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Jupyter notebook kernel goes offline
Otherwise you should be able to convert the .ipynb's to .py using the ipython libraries:
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Excel Never Dies
Nice product, I noticed that you are updating the next Jupyter cell; what was your solution to doing that reliably since `set_next_input` is so damn flakey?
I personally grew so frustrated with the state of GUI development in Jupyter that I tried to fix it in such a way that would allow proper message passing between cells and python code (because you can't wait on Comm events).
> https://github.com/ipython/ipykernel/pull/589
But sadly the priorities of big open source projects don't always match your own. So I had to extract that logic into my own kernel.
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?
ipython-cells - IPython extension for running code blocks in .py files
papermill - 📚 Parameterize, execute, and analyze notebooks
xlwings - xlwings is a Python library that makes it easy to call Python from Excel and vice versa. It works with Excel on Windows and macOS as well as with Google Sheets and Excel on the web.
ploomber - The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️
akernel - Asynchronous Python Jupyter kernel
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]
XlsxWriter - A Python module for creating Excel XLSX files.
jupytext - Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts
copypaster - Make web forms copy-pasteable.
rr - Record and Replay Framework
pyright - Static Type Checker for Python
Jupyter-PowerShell - Jupyter Kernel for PowerShell