semvec/pypi-packages huggingface dataset:
ssi-analysis-result-parsers 0.0.17
TODO
License: MIT License
Requires Python: >=3.9
Keywords: nbdev jupyter notebook python

# ssi_analysis_result_parsers


<!-- 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 ssi_analysis_result_parsers in Development mode

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

# make changes under nbs/ directory
# ...

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

## Usage

### Installation

Install latest from the GitHub
[repository](https://github.com/$GIT_USER_NAME/ssi_analysis_result_parsers):

``` sh
$ pip install git+https://github.com/$GIT_USER_NAME/ssi_analysis_result_parsers.git
```

or from
[conda](https://anaconda.org/$GIT_USER_NAME/ssi_analysis_result_parsers)

``` sh
$ conda install -c $GIT_USER_NAME ssi_analysis_result_parsers
```

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

``` sh
$ pip install ssi_analysis_result_parsers
```

### Documentation

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

## How to use

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

``` python
1+1
```

    2