Why Jupyter is data scientists’ computational notebook of choice
1–10 of 308 posts
Re: Why Jupyter is data scientists’ computational notebook of choice
#2I recently got a Jupyter Notebook, and found it's a large JSON document, with some sections in markdown and some in Python. A browser could omit the Python, and an interpreter could omit the markdown.
Would this work for other languages? Maybe JavaScript or Powershell instead of Python?
Re: Why Jupyter is data scientists’ computational notebook of choice
#3I've switched largely to Jupyter / Python for computational linguistics / psycholinguistics because of the pandas / numpy /numba stack, decent off-the-shelf NLP (spacy and gensim), and the ease of moving data into an R kernel for specific analyses and plots. Also nice that any reasonably sized notebook will render on GitHub (and access can be controlled through the accounts system, until something is ready to be public).
One thing I haven't figure out how to do is to generate fully styled LaTeX manuscripts from notebooks (like papaja for RStudio). Is there a way to do this with pandoc?
Re: Why Jupyter is data scientists’ computational notebook of choice
#4What was the earliest of these tools?
Mathcad? Mathematica? Maple?
Re: Why Jupyter is data scientists’ computational notebook of choice
#5I recently got a Jupyter Notebook, and found it's a large JSON document, with some sections in markdown and some in Python. A browser could omit the Python, and an interpreter could omit the markdown. Would this work for other languages? Maybe JavaScript or Powershell instead of Python?
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Re: Why Jupyter is data scientists’ computational notebook of choice
#6Link to the deck by Joel Grus' talk that is mentioned in the article:
https://docs.google.com/presentation/d/1n2RlMdmv1p25Xy5thJUh...
Re: Why Jupyter is data scientists’ computational notebook of choice
#7I recently got a Jupyter Notebook, and found it's a large JSON document, with some sections in markdown and some in Python. A browser could omit the Python, and an interpreter could omit the markdown. Would this work for other languages? Maybe JavaScript or Powershell instead of Python?
Yes! Juypter is actually designed to take in multiple kernel types and supports a ton of different languages. It’s not just limited to Python.
Re: Why Jupyter is data scientists’ computational notebook of choice
#8It's easy to grade student assignments in notebooks with https://github.com/jupyter/nbgrader, which also makes it great for teaching.
Re: Why Jupyter is data scientists’ computational notebook of choice
#9I recently got a Jupyter Notebook, and found it's a large JSON document, with some sections in markdown and some in Python. A browser could omit the Python, and an interpreter could omit the markdown. Would this work for other languages? Maybe JavaScript or Powershell instead of Python?
Can and does! Jupyter notebooks have a flexible architecture for running anything (called "kernels").
Notable examples...
R: https://github.com/IRkernel/IRkernel
node: https://github.com/notablemind/jupyter-nodejs
In my mind, one of this big advantages of jupyter is its extendability. I was able to quickly modify notebooks to run unit tests, so we could use them for projects at DataCamp: https://www.datacamp.com/projects.
Re: Why Jupyter is data scientists’ computational notebook of choice
#10I've switched largely to Jupyter / Python for computational linguistics / psycholinguistics because of the pandas / numpy /numba stack, decent off-the-shelf NLP (spacy and gensim), and the ease of moving data into an R kernel for specific analyses and plots. Also nice that any reasonably sized notebook will render on GitHub (and access can be controlled through the accounts system, until something is ready to be publ…
Yes! Juypter notebook has an export to .tex file in its export menu. If you install the right stuff you can render the output on the server.
However, the output of this isn’t nearly as well formed as a hand written latex document is.