semvec/pypi-packages huggingface dataset:
wcst-converter 0.0.2
Convert WCST output reports to collapsed columns format
Requires Python: >=3.6

# WCST Converter

Convert WCST report output format to collapsed column format.

## Setup

Run `pip3 install wcst-converter` to install the tool.

## Usage

```
python .\converter.py --help
usage: wcst-converter [-h] [-i INPUT] [-d] [-v] [-V]

Convert WCST reports to desired format

optional arguments:
  -h, --help            show this help message and exit
  -i INPUT, --input INPUT
                        Path to the input directory containing CSV reports
  -d, --delete-old-cols
                        Delete old columns
  -v, --verbose         Print verbose logs
  -V, --version         Print application version and exit
```

1. Save WCST reports to a directory on your system in CSV format.
2. Enter the directory in file explorer and copy the file path from the control bar.
3. In the PowerShell window with the environment activated, type the following: `python .\converter.py -i <path to input directory>`
4. Converted CSV files will be saved in a directory named "converted-<timestamp>" in the input directory. Since the output directory has teh timestamp, you can run it multiple times and new output directories will be created for each run.
tbcontrol 0.2.1
Textbook Control Problem package
Requires Python: >=3.5

# A Python library for solving textbook control problems

The tbcontrol package collects functions useful to solve the kinds of problems encountered in undergraduate process control textbooks. It is the distributable part of a larger project to develop Jupyter notebooks for dynamics and control.

The [repository](https://github.com/alchemyst/Dynamics-and-Control) collects notebooks for the subjects CPN321 (Process Dynamics), and CPB421 (Process Control) at the Chemical Engineering department of the University of Pretoria.

You can experiment with the notebooks without installing anything using this link: [![Binder](http://mybinder.org/badge.svg)](http://mybinder.org/repo/alchemyst/Dynamics-and-Control)

The links below will allow you to view the notebooks using the notebook viewer. You can also click on the "Launch Binder" badge above to launch a notebook server which will allow you to run all the code online.

* [View in Notebook Viewer](https://nbviewer.ipython.org/github/alchemyst/Dynamics-and-Control/blob/master/TOC.ipynb)
* [View on GitHub](https://github.com/alchemyst/Dynamics-and-Control/blob/master/TOC.ipynb)

We use Travis CI to check every update made to the repository. Note that we only test on the version of Python specified in `environment.yml`.

[![Build Status](https://travis-ci.org/alchemyst/Dynamics-and-Control.svg?branch=master)](https://travis-ci.org/alchemyst/Dynamics-and-Control)
callapy 0.0.2
Calculating the amount adsorbed from liquid-phase adsorption measurements
Requires Python: >=3.6

callapy
=======
[![Documentation Status](https://readthedocs.org/projects/callapy/badge/?version=latest)](https://callapy.readthedocs.io/en/latest/?badge=latest)

![Python application](https://github.com/dejac001/callapy/workflows/Python%20application/badge.svg)

![Python package](https://github.com/dejac001/callapy/workflows/Python%20package/badge.svg)

![Upload Python Package](https://github.com/dejac001/callapy/workflows/Upload%20Python%20Package/badge.svg)

A package for calculating the amount adsorbed
into solids from liquid-phase batch measurements.

Coming soon!