Publish a Jupyter Notebook as a Medium blogpost
Jupyter to Medium
Publish Jupyter Notebooks as Medium blog posts directly from your notebook with the help of jupyter_to_medium.
Do you ....
- Publish blog posts on Medium?
- Use Jupyter Notebooks to write your posts?
- Dislike the time and effort it takes to transfer your posts from Jupyter to Medium?
If so, jupyter_to_medium will automate the process of taking your Jupyter Notebook, as is, and publishing it as a Medium post in almost no time at all saving huge amounts of time.
I've published dozens of blog posts on Medium myself with all of them beginning as Jupyter Notebooks. Manually converting them to Medium posts was a fairly lengthy, painstaking process. One particularly painful process was inserting tables, which Medium does not support, into my posts. Nearly all of my posts contain numerous pandas DataFrames (such as this one, which has 40! DataFrames) which are represented as HTML tables within a notebook. I'd take screenshots of each one to insert them into my Medium posts.
pip install jupyter_to_medium
You should be able to skip the next step, but if the extension is not showing up in your notebook, run the following command:
jupyter bundlerextension enable --py jupyter_to_medium._bundler --sys-prefix
Get an Integration Token from Medium
Before using this package, you must request an integration token from Medium by emailing them at firstname.lastname@example.org allowing you to create a token in your Medium settings. You can read the entire instructions on how to get your integration token.
Creating the integration token
Once your request to create integration tokens is accepted, navigate to your Medium settings. Towards the bottom of the page exists the section on Integration Tokens. Enter a description for the token (
jupyter_to_medium is a good choice) and then create the token.
Save your integration token
Once you have your integration token, create the folder and file
.jupyter_to_medium/integration_token in your home directory and save the token there. If you don't save it, you'll need to access it every time you wish to make a new post.
There are three ways to publish notebooks:
- Within an active notebook
- From the command line
- Using a Python script
Publishing to Medium within a Notebook
After installation, open the notebook you wish to publish and select the option
File -> Deploy as -> Medium Post
A new browser tab will open with a short form that needs to be completed.
After clicking publish, the notebook and all images will be uploaded to Medium. Any HTML tables (such as pandas DataFrames) will be converted to images (via chrome), as Medium has no ability to represent tables. This is a time consuming process, so be prepared to wait. Check your terminal for updates. If successful, you'll get the following response with a link to view the post.
Click the link to view the post.
Finalize and publish on Medium
Currently, your post will be published as a draft. Review and publish the post on Medium.
Publishing to Medium from the Command Line
Upon installation, you'll have access to the command line program
jupyter_to_medium with the same options as the below function.
jupyter_to_medium --pub-name="Dunder Data" --tags="python, data science" "My Awesome Blog Post.ipynb"
Publishing to Medium with a Python Script
In a separate script/notebook, import
juptyer_to_medium as a module. Pass the
publish function the location of the Jupyter Notebook you would like to publish as a Medium blog post.
import jupyter_to_medium as jtm jtm.publish('My Awesome Jupyter Notebook.ipynb', integration_token=None, pub_name=None, title=None, tags=None, publish_status='draft', notify_followers=False, license='all-rights-reserved', canonical_url=None, chrome_path=None, save_markdown=False, table_conversion='chrome' )
If successful, a message will be printed with the URL to your post. Additionally, JSON data will be returned as a dictionary containing the returned request from Medium.
If your post is unsuccessful, a message with the error will be printed to the screen with information that might help you solve the issue.
Table conversion with Chrome or Matplotlib
By default, tables will be converted via Chrome web browser by taking screenshots of them. If you don't have Chrome installed or cannot get chrome to work, select 'matplotlib' for the table conversion.
- pillow (if you have HTML tables)
- Google Chrome / Brave browser
- matplotlib (if Chrome browser does not work)
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