How to import bank transactions in Python

One of the first step in personal and family financial planning is analyzing expenses. To do that, you can use many tools, such as:

But if you know how to code, there is another option: Python. Python allows you to fully customize your expense analysis according to your needs. And it’s free.

For example, to import bank transactions in Python for further processing, you can use Pandas DateFrames and the functions that this library offers, like read_csv and read_excel.

At the following link you can find a Jupyter notebook with some examples to help you import your bank transactions into Python DataFrames and begin your financial planning: https://github.com/nicolanrizzo/public-notebooks/blob/main/finance/importing-bank-transactions.ipynb.