jupytext | Jupyter Notebooks as Markdown Documents

 by   mwouts Python Version: 1.16.1 License: MIT

kandi X-RAY | jupytext Summary

kandi X-RAY | jupytext Summary

jupytext is a Python library typically used in Telecommunications, Media, Media, Entertainment, Utilities, Jupyter applications. jupytext has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can install using 'pip install jupytext' or download it from GitHub, PyPI.

Have you always wished Jupyter notebooks were plain text documents? Wished you could edit them in your favorite IDE? And get clear and meaningful diffs when doing version control? Then... Jupytext may well be the tool you're looking for!. Jupytext is a plugin for Jupyter that can save Jupyter notebooks as either.
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            kandi-support Support

              jupytext has a medium active ecosystem.
              It has 6022 star(s) with 382 fork(s). There are 69 watchers for this library.
              There were 3 major release(s) in the last 6 months.
              There are 101 open issues and 483 have been closed. On average issues are closed in 55 days. There are 6 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of jupytext is 1.16.1

            kandi-Quality Quality

              jupytext has 0 bugs and 0 code smells.

            kandi-Security Security

              jupytext has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              jupytext code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              jupytext is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              jupytext releases are available to install and integrate.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              Installation instructions, examples and code snippets are available.
              It has 20153 lines of code, 983 functions and 262 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed jupytext and discovered the below as its top functions. This is intended to give you an instant insight into jupytext implemented functionality, and help decide if they suit your requirements.
            • Build a Jupyter class
            • Convert a Jupytext format to a dictionary
            • Return the default formats for the given path
            • Convert multiple formats into a list of formats
            • Entry point for jupytext
            • Check if code cells have changed
            • Read text from fp
            • Generate a jupytext file
            • Load the Jupytext server extension
            • Build a FileContentsManager class
            • Create a pandas dataframe
            • Extract metadata from an option line
            • Return cell language
            • Find the cell content of the given lines
            • Find the end of the cell
            • Remove end of cell marker
            • Make the performance plot
            • Return a text representation of the cell
            • Convert cell to text
            • Return the text representation of the source code
            • Uncomment magic files
            • Extract metadata from a single line of text
            • Find the start of the end of the cell
            • Read text from file
            • Convert the cell to text
            • Find the start of the end of a markdown line
            • Convert the source code to text
            Get all kandi verified functions for this library.

            jupytext Key Features

            No Key Features are available at this moment for jupytext.

            jupytext Examples and Code Snippets

            2. Set up GitHub Actions workflow
            Pythondot img1Lines of Code : 35dot img1License : Permissive (MIT)
            copy iconCopy
            name: Docs
            on: [push, release]
            
            jobs:
              notebooks:
                name: "Build the notebooks for the docs"
                runs-on: ubuntu-latest
                steps:
                  - uses: actions/checkout@v2
            
                  - name: Set up Python
                    uses: actions/setup-python@v2
                    with:
               
            copy iconCopy
            
            ---
            Copyright 2021 The JAX Authors.
            
            Licensed under the Apache License, Version 2.0 (the "License");
            you may not use this file except in compliance with the License.
            You may obtain a copy of the License at
            
                https://www.apache.org/licenses/LICENS  
            copy iconCopy
            :id: aPUwOm-eCSFD
            :tags: [remove-cell]
            
            # Configure ipython to hide long tracebacks.
            import sys
            ipython = get_ipython()
            
            def minimal_traceback(*args, **kwargs):
              etype, value, tb = sys.exc_info()
              value.__cause__ = None  # suppress chained exceptio  

            Community Discussions

            QUESTION

            Don't start JupyterLab if configuration is invalid
            Asked 2022-Feb-04 at 00:48

            When JupyterLab tries to start, in some occasions, the config file may be invalid, and Jupyterlab starts regardless in default port 8888.

            Currently I have a JupyterLab service defined as follows, but I also try to start it manually and got the same results. An example when config file may be invalid is when a library is not available to be imported. I want to prevent Jupyter to start and fail gracefully.

            ...

            ANSWER

            Answered 2022-Feb-04 at 00:48

            You can enforce failure on configuration errors by configuring environment variable TRAITLETS_APPLICATION_RAISE_CONFIG_FILE_ERROR to 1 or true (see docs); on Linux this can be done by prepending the startup command like so:

            Source https://stackoverflow.com/questions/70952321

            QUESTION

            Jupytext pre-commit config when notebooks are ignored in git
            Asked 2021-Nov-10 at 15:56

            My current hook looks like this:

            ...

            ANSWER

            Answered 2021-Nov-10 at 14:52

            pre-commit only operates on checked in files -- since yours are gitignored you'll need to find some other way to synchronize them

            one idea is to always_run: true and pass_filenames: false and list the notebooks to sync explicitly:

            Source https://stackoverflow.com/questions/69909719

            QUESTION

            Add papermill parameters to notebook manually
            Asked 2021-Oct-27 at 16:37

            Is is possible to add papermill parameters to a jupyter notebook manually, e.g. in an editor? Is it possible to add papermill parameters to a .py file and have them persist when converted to a .pynb file?

            Context:

            I am working on running jupyter notebooks in an automated way via Papermill. I would like to add parameters to a notebook manually rather than using jupyter or jupyter lab interfaces. Ideally these parameters could be added to a python script .py file first. Upon converting the .py file to a .ipynb file the parameters would persist.

            My desired workflow looks like this:

            1. Store generic notebook as a < notebook >.py file with parameters in version control repository
            2. Convert python script < notebook >.py to jupyter notebook < notebook >.ipynb
            3. Run < notebook >.ipynb via papermill and pass parameters to it
            4. Use nbconvert to produce output pdf with no code (using exclude_input argument)

            Steps 1-3 will be run via a script that can be auotmated. I want to use jupytext to avoid storing the notebooks and all their associated metadata. Currently, the only way I can find to add parameters to a notebook is to add them via jupyter/(lab) interfaces. Then I can run the notebook with papermill. However, this doesn't work with the jupytext conversion.

            *Note I would have added the "jupytext" tag to this but it doesn't exist yet and I don't have enough rep to create

            EDIT

            gooseberry's answer appears to be the correct one.

            However, it doesn't actually appear to be necessary to add a parameters tag to your notebook in order to inject parameters via papermill. While papermill will give a no cell with tag parameters found in notebook warning it will still inject the parameters. Additionally, your output notebook from papermill will have a new cell:

            ...

            ANSWER

            Answered 2021-Oct-22 at 05:21

            It depends which of the formats you chose for your .py files, but assuming you've chosen the "percent" format, where each new cell is marked with #%%, to add tags you write:

            Source https://stackoverflow.com/questions/69652215

            QUESTION

            How can I fix "[Errno 13] Permission denied: '_cmp.pyi'" in my Python nix flake?
            Asked 2021-Aug-14 at 21:18

            I'm trying to install jupyter-book on NixOS. I have this flake:

            ...

            ANSWER

            Answered 2021-Aug-14 at 21:18

            It looks like your attrs derivation wants to uninstall the attrs library it found via pytest dependencies. Maybe you can build it by removing pytest from your attrs inputs and disabling checks.

            Source https://stackoverflow.com/questions/68786520

            QUESTION

            Best way to convert .ipynb to .py in VSCode
            Asked 2020-Nov-20 at 06:03

            I'm looking for a good way to convert .ipynb to .py files in VSCode. So far I've tried:

            • the "Export As" Option built into vscode. Not ideal as it produces the following at the start of the script, as well as "Run Cell", "Run Below", etc. buttons/links:

            "To add a new cell, type '# %%' To add a new markdown cell, type '# %% [markdown]' %% from IPython import get_ipython"

            • nbconvert. I usually insert this as a command in the script itself (https://stackoverflow.com/a/19779226/14198216) so it's automatically converted and saved once run. But this also leaves "Run Cell" etc, as well as execution markings (ex: "In [1]")

            • jupytext. I also usually insert this as a command. At the start of the .py, it produces:

            -- coding: utf-8 -- --- jupyter: jupytext: text_representation:

            Is there a nice, minimalist solution that doesn't insert a bunch of gunk (which needs to be manually edited out) in the .py version of my notebooks and can be easily/automatically executed from the notebook itself? This could also be setting tweaks that I'm currently unaware of that can make one of the things I mentioned work better.

            Thanks in advance.

            ...

            ANSWER

            Answered 2020-Nov-20 at 06:03

            We can add the following settings in "settings.json", the generated python file will not have "Run Cell", "Run Above", "Debug Cell":

            Source https://stackoverflow.com/questions/64297272

            QUESTION

            Run a jupyter notebook in a different directory with jupyter nbconvert
            Asked 2020-Jul-21 at 07:47

            I've got a directory structure to my notebooks:

            • main.py
            • notebooks/
              • notebook.py
              • notebook.ipynb

            The notebook.py file and notebook.ipynb file are linked with JupyText: we keep the .py file in source control (without outputs or metadata) and we use the .ipynb file as a regular notebook. IntelliJ gives us the opportunity to run cells from both files, but unfortunately, with different working directories. This means that referring to files becomes a real headache because the relative path begins with either ./ or ../

            To fix this, I've done a filthy hack: at the root level (next to the main.py) I've defined a project_root.py with the following function:

            ...

            ANSWER

            Answered 2020-Jul-21 at 07:47

            Thank you to Sergey K. for his comment, he put me on the right track.

            I did mark my project root as a sources folder, but this didn't have the effect of adding that folder to PYTHONPATH, as I'd hoped. I noticed that before doing run ("notebooks/notebook.ipynb"), my path looked like this: [a, b, c, d, project_root]. But as soon as I entered the notebook, my path was [project_root/notebooks, a, b, c, d], so either it uses a separate path, or it removes the current working directory and adds a new one at the front.

            On a limb, I added project_root to PYTHONPATH programmatically, and it started appearing in my path inside my notebook as well. This fixes my issue.

            In summary: in main.py, run this once (every IDE startup for me, idk why):

            Source https://stackoverflow.com/questions/62997670

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install jupytext

            You can install Jupytext with.
            pip install jupytext
            or conda install jupytext -c conda-forge.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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            Install
          • PyPI

            pip install jupytext

          • CLONE
          • HTTPS

            https://github.com/mwouts/jupytext.git

          • CLI

            gh repo clone mwouts/jupytext

          • sshUrl

            git@github.com:mwouts/jupytext.git

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