semvec/pypi-packages huggingface dataset:
moneytoring 1.3.2
A python budgeting tool
Requires Python: >=3.6

# Python moneytoring package

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Parse a CSV file and visualize data with CLI tools

## Install

```sh
pip3 install moneytoring
setup-csv <path_of_your_csv>
```

## Usage

```sh
moneytoring <monthly_salary> <number_of_months>
summary
summary-year <number_of_the_year>
summary-year all
summary-filter <name_of_market>
setup-csv <path_of_your_csv>
```

## Range of visualization

- Total expenses
- Total incomes
- Expenses by year
- Incomes by year

## Author

Arthur RICHARD
enzo 0.0.1.dev6
A neural network library designed from scratch.
Requires Python: >=3.6

enzo
====
.. image:: https://travis-ci.com/thomasbreydo/enzo.svg?branch=master
    :target: https://travis-ci.com/thomasbreydo/enzo
.. image:: https://readthedocs.org/projects/enzo-docs/badge/?version=latest
    :target: https://enzo-docs.readthedocs.io/en/latest/?badge=latest
    :alt: Documentation Status

A neural network designed from scratch in Python (no tensorflow, pytorch, etc.).

Why from scratch?
-----------------

Neural networks have grown to become very popular and useful. Because they are so complex, it is tough to have a core understanding of *how* the networks actually "learn." Coding one from scratch turned out to be extremely helpful.

Why in Python?
--------------

- Python is easy and quick to use, meaning that the time I spend coding will mostly be devoted to actually coding the network.

- More importantly, Python is easy to understand, meaning the code can serve as a learning resource for those who would like a better understanding of how neural networks work.