4 Tools to Speed Up Your Data Science Writing

4 Tools to Speed Up Your Data Science Writing

Achieve your writing goals with these 4 tools. I’ve been writing about data science on Medium for just over two years. Writing, in particular, technical writing can be time-consuming.

I’ve been writing about data science on Medium for just over two years. Writing, in particular, technical writing can be time-consuming. Not only do you need to come up with an idea, write well, edit your articles for accuracy and flow, and proofread them. With technical articles you often also need to produce code to illustrate your explanations, ensure that it is accurate and transfer that code from the tool you used to write it, to your Medium post.

I try to publish once or twice a week. When I first started writing I found that the process could be very time consuming, and it was difficult to maintain this schedule around a full-time day job.

Over time I have found some tools that have hugely sped up the time it takes for me to create and publish an article. Particularly those containing coded examples. The following tools help me to achieve my goal of publishing one to two articles per week around my other life commitments.


1. Jupyter to Medium

Publish Jupyter Notebooks as Medium blog posts directly from your notebook with the help of jupyter_to_medium. Do you…

pypi.org

This tool was only released in May this year by Ted Petrou but it is a game-changer if you write your code in Jupyter Notebooks. With this Python package, you can publish the entire content of your notebook as a blog post directly into your Medium account.

To use this tool first you need to pip install it into your project environment.

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