Thanks for jumping in David. I concur, the Excel environment is a productive "home base" for deriving the visualizations and is in many cases is sufficient.
In the Office model, one is then expected to embed said visualizations in a Word document, perhaps exporting to PDF, if wanting to add more verbiage and/or make it more journal article or textbook like. [1] In your type of advocacy work, maybe getting the visualizations is sufficient, and indeed, the final step from Jupyter Notebook to a PDF version is sometimes the trickiest, when it comes to page breaks especially. Here's a Notebook in the same ballpark, dealing with the half life of naturally occurring and/or artificially generated radioactive substances: https://nbviewer.org/github/4dsolutions/School_of_Tomorrow/blob/master/isotope_decay.ipynb This is the classic synergy of Jupyter + pandas + matplotlib, the kind of thing I've been teaching through a Turkey-based company. [2] I don't see it as either / or, and true, Jupyter might be the wrong tool in many instances. I wonder if you've had a chance to play with pandas inside of Excel. I know Microsoft has added that. I've yet to try it out (currently, I don't have a computer with Office at my fingertips). Kirby PS: in my previous post I had a typo buried in the most mathy part, which I've since fixed on Github. https://groups.io/g/synergeo/message/2481 [1] https://www.theatlantic.com/science/archive/2018/04/the-scientific-paper-is-obsolete/556676/ (Atlantic has implemented more of a firewall then previously -- the article is about Wolfram's Mathematica as well as Jupyter) [2] https://nbviewer.org/github/4dsolutions/clarusway_data_analysis/blob/main/DAwPy_S1_%28Numpy_Arrays%29/daily_schedule.ipynb On Thu, Jan 25, 2024 at 1:18 PM David MacQuigg <macqu...@gmail.com> wrote: > Hello Kirby > > Jupyter is excellent, but I still wish there was a simple built-in > charting tool in Python. Jupyter is like Sketchup, a tool I use once a > year, but not enough to justify keeping up on it. > > My work now is focused on nuclear power > <https://citizendium.org/wiki/Nuclear_power_reconsidered>, and educating > journalists who might break with the mainstream and need a good summary of > facts and arguments. That occasionally requires me to make a quick > calculation and plot, and I find myself using Google Sheets instead of > Python. Here is an example on Separative Work Units, the fundamental > measure of cost in uranium enrichment. Once you get the calculation worked > out, the plot is just a few more clicks. > > https://docs.google.com/spreadsheets/d/1OyKPyjo6k1ckZVwAh8sfkDEtB5W22VUriBaelK3LWY4/edit?usp=sharing > > David MacQuigg, PhD > Engineering Editor, Citizendium > 520-721-4583 >
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