semvec/pypi-packages huggingface dataset:
monzo-expenses 1.0.1
Generate expense reports from Monzo

# :credit_card: Monzo Expenses

Beautiful expense reports direct from your Monzo Account. 

## Installation

```python
pip install monzo-expenses
```

## Usage

```bash
$ monzo-expenses --from 01-09-18 --to 30-09-18 --output my_september_expenses.pdf
```

On the first run you will be prompted to register the application and authorise access to your Monzo account.

## :lock: Security

Monzo Expenses runs on your local machine. It is your responsibility to secure access to the software.

The Monzo API does not allow movement of money (other than into/out of pots).

Please do not open a GitHub issue for security-related matters - use this [contact form](https://fncontact.com/monzo-coffee) to contact the author.

## :green_book: Documentation

For more information, please consult the [documentation](https://monzo-expenses.readthedocs.io/en/latest/).

Support is provided on a best-efforts basis.
pymbdata 0.0.1
A small example package

# Pymbdata

A toy library that includes some complex data types seen in mathematics, engineering and statistics.

## Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.

### Prerequisites

Numpy is used in the matrix, but it will be automatically installed when you install pymbdata.

### Installing

To install the library you need to have PIP installed

Installing the library

```
pip install pymbdata
```

To import it in a python script

```
import pymb
```

End with an example of getting some data out of the system or using it for a little demo

## Running the tests

No tests are present yet


## Authors

* **George Sima** - *Initial work* - [Gamirou](https://github.com/gamirou)

## License

This project is licensed under the MIT License - see the [LICENSE.md](LICENSE.md) file for details

## Acknowledgments

* Hat tip to numpy
* Hat tip to myself :))
* Inspiration