Live data from Hacker News

Jupyter Notebook 4.2 Released

blog.jupyter.org

1–10 of 88 posts

Re: Jupyter Notebook 4.2 Released

#3
While working on a data science team some months ago, these notebooks helped me build something that explained, in detail and at a high level, the implementation details of an algorithm to sales and others not familiar with data science techniques. It was awesome and so easy.

I also used them when we did a capture the flag contest to help explain visually how a multi time pad vulnerability works.

Re: Jupyter Notebook 4.2 Released

#4

I had my first experience with Jupyter last weekend when I was trying to learn about document clustering with Python. It seems like a cool idea, but in practice ended up being kind of annoying: https://github.com/brandomr/document_cluster/issues/7

Jupyter is great for prototyping and playing with ideas, essentially its great it you want persistent data. But after you more or less know what you want and loading the initial dataset isn't a constant annoyance you're usually better off in an IDE or other real programming environment.

I use it to ask a whole bunch of exploratory questions about a dataset then productionize the result in PyCharm (my preference, other ways work great too :)

Re: Jupyter Notebook 4.2 Released

#5

I had my first experience with Jupyter last weekend when I was trying to learn about document clustering with Python. It seems like a cool idea, but in practice ended up being kind of annoying: https://github.com/brandomr/document_cluster/issues/7

I teach an internal class on python at my office, and the notebook makes it significantly easier to work and play with code. It's a step between a REPL and a file you load and run each time you make a chance. It speeds up the dev/test cycle significantly.

Re: Jupyter Notebook 4.2 Released

#6
One of our data analyst had fun drawing all the shots from Kobe during his whole career. He did everything on jupyter, which I discovered at that moment, and was mind blown on how well it worked and how powerful it is.

I don't think I would ever use this tool as a seasoned software engineer, but I can definitely see the power it has for newer people who want to learn, or simply people like him who know a little bit of code and just wanted to run it.

Congrats to the team building this tool!

Re: Jupyter Notebook 4.2 Released

#7

I had my first experience with Jupyter last weekend when I was trying to learn about document clustering with Python. It seems like a cool idea, but in practice ended up being kind of annoying: https://github.com/brandomr/document_cluster/issues/7

Jupyter notebooks are for running ad hoc blocks of code. The biggest advantage of doing so is being able to check the output of each block to make sure the output is expected. This feature in particular makes for a great tool for tutorials. (Example of mine: https://github.com/minimaxir/facebook-page-post-scraper/blob...)

It is definitely not a tool to replace a typical Python workflow.

Re: Jupyter Notebook 4.2 Released

#9
post #6

One of our data analyst had fun drawing all the shots from Kobe during his whole career. He did everything on jupyter, which I discovered at that moment, and was mind blown on how well it worked and how powerful it is. I don't think I would ever use this tool as a seasoned software engineer, but I can definitely see the power it has for newer people who want to learn, or simply people like him who know a little bit o…

can you comment on why you wouldn't use it? I am somewhere in the middle of software engineering and (biological) data science. I have seen some jupyter notebooks as companions to genomics software and I enjoyed those presentations. I was considering using it in the future based on that; so, I wanted to hear your thoughts.
Post reply on HN