semvec/pypi-packages huggingface dataset:
tinkerloop 0.0.1
A learn-by-doing library for exploring machine-learning internals.
License: MIT License
Requires Python: >=3.12
Keywords: nbdev jupyter notebook python

# tinkerloop


<!-- WARNING: THIS FILE WAS AUTOGENERATED! DO NOT EDIT! -->

This file will become your README and also the index of your
documentation.

## Developer Guide

If you are new to using `nbdev` here are some useful pointers to get you
started.

### Install tinkerloop in Development mode

``` sh
# make sure tinkerloop package is installed in development mode
$ pip install -e .

# make changes under nbs/ directory
# ...

# compile to have changes apply to tinkerloop
$ nbdev_prepare
```

## Usage

### Installation

Install latest from the GitHub
[repository](https://github.com/felipexavier11/tinkerloop):

``` sh
$ pip install git+https://github.com/felipexavier11/tinkerloop.git
```

or from [conda](https://anaconda.org/felipexavier11/tinkerloop)

``` sh
$ conda install -c felipexavier11 tinkerloop
```

or from [pypi](https://pypi.org/project/tinkerloop/)

``` sh
$ pip install tinkerloop
```

### Documentation

Documentation can be found hosted on this GitHub
[repository](https://github.com/felipexavier11/tinkerloop)’s
[pages](https://felipexavier11.github.io/tinkerloop/). Additionally you
can find package manager specific guidelines on
[conda](https://anaconda.org/felipexavier11/tinkerloop) and
[pypi](https://pypi.org/project/tinkerloop/) respectively.

## How to use

Fill me in please! Don’t forget code examples:

``` python
1+1
```

    2