semvec/pypi-packages huggingface dataset:
inkydev 0.0.2
Driver for InykDev Raspberry Pi e-ink development platform.
License: MIT
Requires Python: >=3.6
Keywords: Raspberry Pi

# Inky Development Board

[![Build Status](https://shields.io/github/workflow/status/pimoroni/inkydev-python/Python%20Tests.svg)](https://github.com/pimoroni/inkydev-python/actions/workflows/test.yml)
[![Coverage Status](https://coveralls.io/repos/github/pimoroni/inkydev-python/badge.svg?branch=master)](https://coveralls.io/github/pimoroni/inkydev-python?branch=master)
[![PyPi Package](https://img.shields.io/pypi/v/inkydev.svg)](https://pypi.python.org/pypi/inkydev)
[![Python Versions](https://img.shields.io/pypi/pyversions/inkydev.svg)](https://pypi.python.org/pypi/inkydev)

# Pre-requisites

You must enable:

* i2c: `sudo raspi-config nonint do_i2c 0`
* spi: `sudo raspi-config nonint do_spi 0`

You can optionally run `sudo raspi-config` or the graphical Raspberry Pi Configuration UI to enable interfaces.

# Installing

Stable library from PyPi:

* Just run `pip3 install inkydev`

In some cases you may need to use `sudo` or install pip with: `sudo apt install python3-pip`

Latest/development library from GitHub:

* `git clone https://github.com/pimoroni/inkydev-python`
* `cd inkydev-python`
* `sudo ./install.sh`


# Changelog
0.0.2
-----

* Fix i2c address

0.0.1
-----

* Initial Release
trustedtwin-rest 0.1b0
Python API client for Trusted Twin API
License: MIT

# Trusted Twin Python client

Package provides easy access to Trusted Twin API using Python.

### API Reference
For Trusted Twin API documentation navigate [here](https://gitlab.com/trustedtwinpublic/api-documentation-public). 


### Installation

Uing pip:

    pip install trustedtwin_rest

From source:
    
    python setup.py install

### Requirements
* Python 3.6+ (CPython)

### Examples

```python
from trustedtwin import TTService

client = TTService(auth='$my_secret')

response = client.twins.create()
twin_uuid = response['creation_certificate']['uuid']
```

For code snippets please look into directory `examples`.
xmlasdict 0.2.2
python library to read xml DOM trees as dicts (with iter and gettattribute behaviour)
License: MIT


py-xmlasdict
===================================

python library to read xml DOM trees as dicts (with iter and gettattribute behaviour)

Started on 2022-02-01

Setup
-----
Start using this project in a virtual environment

.. code-block:: bash

    $ virtualenv venv
    $ source venv/Scripts/activate
    $ pip install -r requirements.txt

Initialize to grab dependencies

.. code-block:: bash

    $ make init       # install dependencies
    $ make init-dev   # includes the previous + adds dependencies for developers

Build Docs

.. code-block:: bash

    $ make docu



Developers
----------

Run Tests

.. code-block:: bash

    $ make test                                                   # to run all tests
    $ PYTEST_LOGCONF=debug-logconf.yml python tests/test_demo.py  # to run a specific test with specific logging


Check the code-style and syntax (flake8)

.. code-block:: bash

    $ make check
wcounts 0.1.0
Calculate word counts in a text file!
License: MIT
Requires Python: >=3.9

# wcounts

Calculate word counts in a text file!

## Installation

```bash
$ pip install wcounts
```

## Usage

`wcounts` can be used to count words in a text file and plot results
as follows:

```python
from wcounts.wcounts import count_words
from wcounts.plotting import plot_words
import matplotlib.pyplot as plt

file_path = "test.txt"  # path to your file
counts = count_words(file_path)
fig = plot_words(counts, n=10)
plt.show()
```

## Contributing

Interested in contributing? Check out the contributing guidelines. Please note that this project is released with a Code of Conduct. By contributing to this project, you agree to abide by its terms.

## License

`wcounts` was created by nazbn. It is licensed under the terms of the MIT license.

## Credits

`wcounts` was created with [`cookiecutter`](https://cookiecutter.readthedocs.io/en/latest/) and the `py-pkgs-cookiecutter` [template](https://github.com/py-pkgs/py-pkgs-cookiecutter).