please add Isabekov contributions re beancount on jupyter to Beancount-Contributions

[Chary Chary]

Martin,

can I suggest, that you would add the Isabekov contributions regarding beancount on jupyter to the  Beancount-Contributions doc

I don't think they are mentioned now

https://github.com/isabekov/beancount-multiperiod-reports?tab=readme-ov-file

https://www.isabekov.pro/multiperiod-hledger-style-reports-in-beancount-pivoting-a-table/

[Martin Blais]

Done. Thanks for bringing it up.

(There are so many related things on github and beyond that not all of them can be added to that doc.

I try to add as many relevant things as I can as I come across them.

Feel free to suggest more.)

--
You received this message because you are subscribed to the Google Groups "Beancount" group.
To unsubscribe from this group and stop receiving emails from it, send an email to beancount+...@googlegroups.com.
To view this discussion on the web visit https://groups.google.com/d/msgid/beancount/792be883-69bd-4416-84ce-17bb9cba2892n%40googlegroups.com.

[Chary Chary]

Martin,

thanks!

I think what makes Isabekov's contribution special is the fact, that he puts a bridge from beancount to Jupyter notebooks and pandas. Taking into account all the ecosystem of tools, developed for Python in relation to data visualization and analysis, I think think this has a very big potential, especially amount the ones involved in data science.

The fact that VScode supports, Jupyter, python and has a plugin for beancount allows one to effectively create own custom version of Fava.  

[Martin Blais]

I do this type of thing using custom scripts, but there's always a large amount of special cases such that once I'm done it feels like more than half the code is not applicable to other users so I don't bother sharing it. I have my own pivot table script for example.  Maybe an example like this is the best way to share this.

On Sun, Aug 18, 2024 at 12:08 PM Chary Chary <char...@gmail.com> wrote:

Martin,

thanks!

I think what makes Isabekov's contribution special is the fact, that he puts a bridge from beancount to Jupyter notebooks and pandas. Taking into account all the ecosystem of tools, developed for Python in relation to data visualization and analysis, I think think this has a very big potential, especially amount the ones involved in data science.

The fact that VScode supports, Jupyter, python and has a plugin for beancount allows one to effectively create own custom version of Fava.  

On Saturday, August 17, 2024 at 5:46:15 PM UTC+2 bl...@furius.ca wrote:

Done. Thanks for bringing it up.

(There are so many related things on github and beyond that not all of them can be added to that doc.

I try to add as many relevant things as I can as I come across them.

Feel free to suggest more.)

On Thu, Aug 15, 2024 at 12:12 PM Chary Chary <char...@gmail.com> wrote:

Martin,

can I suggest, that you would add the Isabekov contributions regarding beancount on jupyter to the  Beancount-Contributions doc

I don't think they are mentioned now

https://github.com/isabekov/beancount-multiperiod-reports?tab=readme-ov-file

https://www.isabekov.pro/multiperiod-hledger-style-reports-in-beancount-pivoting-a-table/

--
You received this message because you are subscribed to the Google Groups "Beancount" group.
To unsubscribe from this group and stop receiving emails from it, send an email to beancount+...@googlegroups.com.
To view this discussion on the web visit https://groups.google.com/d/msgid/beancount/792be883-69bd-4416-84ce-17bb9cba2892n%40googlegroups.com.

--
You received this message because you are subscribed to the Google Groups "Beancount" group.
To unsubscribe from this group and stop receiving emails from it, send an email to beancount+...@googlegroups.com.

To view this discussion on the web visit https://groups.google.com/d/msgid/beancount/244c7b40-bad3-4704-922c-51261644566dn%40googlegroups.com.

[Chary Chary]

Martin,

please do try to share at least some of your Jupyter / pandas code.

People will be able to pick what they need and/or learn from it.

I am, for instance, not a professional coder. I don't understand the web stack Fava works on.

I also wasn't able to locate the code for internal logic behind all the nice graphs and reports Fava generates, not to mention altering them for my needs (the fact that there is no design documentation does not make this simpler either)

With beanquery => pandas => matplotlib path this seems to be much more simpler to trace the logic and to alter it for one's needs, whilst providing comparable functionality.