semvec/pypi-packages huggingface dataset:
preprocspectra 0.0.4
A simple library to apply preprocessing of spectra obtained from infrared spectroscopy.
License: MIT
Requires Python: >=3.6
Keywords: SPECTROSCOPY,PREPROCESSING,SPECTRA

This library provides a set of tools that can be used in chemometrics analysis.
These tools are:
- Some pre-processing methods that can be applyed in the spectra.
- A function that make average of spectra in the case of there are more than one spectra by sample (e.g. triplicate or duplicate aquisitions)
pneuro 1.3.7.0.0
Python API for Automated ML
License: MIT
Requires Python: >=3.6

[![Python](https://img.shields.io/badge/python-3%20%7C%203.7-blue)](https://pypi.org/project/pneuro)
[![PyPI version](https://badge.fury.io/py/pneuro.svg)](https://badge.fury.io/py/pneuro)

<h1> AutoNeuro</h1>

<div align="center">
  <img src="https://2s7gjr373w3x22jf92z99mgm5w-wpengine.netdna-ssl.com/wp-content/uploads/2020/02/Qeexo_auto_ML.png">
</div>

AutoNeuro is an automated machine learning application built using python 3.7. It allows users to build production ready ML models with ease and efficiency.See the [About us](https://nabeelfahmi12.github.io/AutoNeuro-Documentation/GettingStarted/GettingStarted/) page for more information.

website: https://nabeelfahmi12.github.io/AutoNeuro-Documentation/


## Installation

### Dependencies

AutoNeuro requires:
* Python 3 
* Numpy
* Pandas
* scikit-learn
<br>

## User Installation
If you already have a working installation of numpy and Pandas, the easiest way to install autoNeuro is using ```Pip```
```
pip install pneuro
```

The documentation includes more detailed [installation instructions](https://nabeelfahmi12.github.io/AutoNeuro-Documentation/GettingStarted/How%20to%20use/)

## Change log
See the [change log]() for a history of notable changes to AutoNeuro.

## Development
We welcome new contributors of all experience levels. The [Development Guide](https://nabeelfahmi12.github.io/AutoNeuro-Documentation/ForDevelopers/MethodsforModelbuilding/) has detaled information about contributing code, documentation, tests, and more. 
We have included some basic information in README.

### Important links
* Official source code repo: https://github.com/viratsagar/Autoneuro
* Download releases: 
* Issue Tracker:

### Source code
You can check the latest sources with the command:
```
git clone https://github.com/nabeelfahmi12/AutoNeuro-Documentaion.git
```
### Contributing
To learn more about making a contribution to scikit-learn, please see our
[Contributing guide](https://nabeelfahmi12.github.io/AutoNeuroDocumentation/Contributingtoautoneuro/Contributingtoautoneuro/)

### Testing
After installation, you can launch the test suite from outside the source directory (you will need to have pytest >= 5.0.1 installed):
```
pytest AutoNeuro
```
### Submitting a Pull Request
Before opening a Pull Request, have a look at the full Contributing page to make sure your code 
complies with our guidelines: https://nabeelfahmi12.github.io/AutoNeuro-Documentation/Contributingtoautoneuro/Contributingtoautoneuro/

## Help and Support
https://nabeelfahmi12.github.io/AutoNeuro-Documentation/Contributingtoautoneuro/Contributingtoautoneuro/

### Documentation
* HTML documentation (stable release):
* HTML documentation (development version):
* FAQ: 
### Communication
* Mailing list:
* Twitter: https://twitter.com/Sudhans74624324
* Stack Overflow: 
* Website: https://nabeelfahmi12.github.io/AutoNeuro-Documentation/

## Citation
If you use autoneuro in a scientific publication, we would appreciate citations:
cryptopy-cli 1.0.0
A CLI based encryption-decryption tool using SHA256
License: MIT

____ ______   ______ _____ ___  ______   __                  
                 / ___|  _ \ \ / /  _ \_   _/ _ \|  _ \ \ / /                  
                | |   | |_) \ V /| |_) || || | | | |_) \ V /                   
                | |___|  _ < | | |  __/ | || |_| |  __/ | |                    
                 \____|_| \_\|_| |_|    |_| \___/|_|    |_|                    
                                                                               

**cryptopy is a CLI based encryption-decryption tool.

Since it is using the `click` module, flags like --help etc are active.

By definition, the tool has 2 options, encrypt and decrypt, and requires 2 parameters:
1- A file to be encrypted or decrypted
2- A keyword that works both sides of the action. So the user needs to give the same keyword
    for the actions on the same file. 

The program also asks to keep or remove the original file during encryption or the encrypted file during decryption.

y || n will suffice.

This is just the first version. The more muscular versions will arrive soon,hopefully.
the script also makes the verification check, whether the files exists or not.


Use case example:

`cryptopy [encrypt||decrypt] /path/to/file/ keyword`


Enjoy and give me feedbacks!
M Yavuz YAGIS 
     
     
     

Change Log
==========

1.0.0(03.09.2020)
---------------------

-The first release.