semvec/pypi-packages huggingface dataset:
prasticus 2019.7.30
Projet prasticus: Catchall module extensible by plugins.

## prasticus

[Package documentation: soon available](http://)

Catchall module extensible by plugins

This is a root module to allow its author to distribute
other modules as plugins. There are currently two subpackages:

* `prasticus.catchall` an extensible container for plugins.
* `prasticus.configure` a module configuration system.

## Post install

The `configure` subpackage needs a root directory to work. Create
a directory and initialize it with the command

    python -W ignore -m prasticus.configure set-root --create DIRECTORY

The `catchall` subpackage needs an initial configuration file to work.
Create one with the command

   python3 -m prasticus.configure init-config prasticus.catchall

### License

This software is licensed under the [MIT License](http://en.wikipedia.org/wiki/MIT_License)

© 2018 Eric Ringeisen
path-planning-kholysa 0.0.8
A package using the A* algorithm to plan a path for a quadcopter

# A* Path Planning Package
# Overview
This is a simple package to plan a path for a quadcopter. It exposes 2 methods

1) Set barriers
2) Get Path

# Installation

Requires:
- Python 3.6
- pip
- python venv

## Linux & windows & MacOS environments
1) Create a python virtual environment somewhere in your documents. Run the Instructions below OR follow this guide https://docs.python.org/3/tutorial/venv.html

  a) Run this command `python3 -m venv venvName` to create a python3 virtual environment.

  b) Run this command cd `venvName` to move into the virtual environement.

  c)

    i. (Linux only, required)Run this command source `myenv\Scripts\activate` to source the virtual environment's python installation. Your terminal should now show your venvName before each line.

    ii. (Windows only, required)Run this command source `bin/activate` to source the virtual environment's python installation. Your terminal should now show your venvName before each line.

  2) Install the requried pip packages. Run the Instructions below

  a) (Linux only, optional)Run this command `which pip`. Make sure the output points to a file that is in your venv.

  b) Run this command `pip install matplotlib numpy` to install the required packages.

## How to use in CopterMove script

### Steps

  1) Test the script
    a) Run the script
    b) Make sure that the output on the graph looks good

  2) Package into a library and upload to the "Pypi" library repository; full documentation is here https://packaging.python.org/tutorials/packaging-projects/
    a) `python3 setup.py sdist bdist_wheel`
    b) `pip install twine`
    c) Increment the version number in `setup.py`
    c) `twine upload dist/*`

  3) Install this library in the CopterMove script
    a) Step `3)a)` here https://github.com/kholysa/CopterMove#linux-and-macos-environments