Python

Here is a recipe for a running Jupyter in a Python virtual environment.

Python versions 3.11+ ship with a version of Tomli: the tomllib standard library module.

Short answer: an error.

In a previous post, I shared why I chose Beancount to track financial data. I have been a user for some time. I have not found importers for Japan financial institutions, so I wrote my own software.

Typically, programs have default configurations. Often, we want to override the defaults partially. Let see how easy this is with TOML in Python.

Transactions in a JA Bank account are available for download as a CSV file. Then Pandas reads it for processing.

Plot a numpy array as a seaborn xy plot.

We import pandas module in Python with error checking.