semvec/pypi-packages huggingface dataset:
myjdapi 1.1.10
Library to use My.Jdownloader API in an easy way.
License: MIT
Keywords: myjdapi jdownloader my.jdownloader api development

My.Jdownloader-API-Python-Library
=================================

My.Jdownloader API Python Library

This a module for Python 3 to interact with My.Jdownloader. This is in a
WIP project.You're free to use it following the MIT license and any
collaboration is appreciated.

To use this API you need to use a "APPkey".This APPkey can be anything
you want but it's recommended to be something that identifies your
project or a URL to it. Right now this module uses "http://git.io/vmcsk"
as the APPKey, but this APPKey is intended just for testing and for
little projects, it's recommended that you uses your own "APPKey" so if
for some reason this APPKey gets blocked you don't get affected.

Right now the only things working are: - JD: -
Connect,Disconnect,Reconnect,GetDevices,listDevices - JD.Device: -
action,addLinks

Example of usage:

::

    import myjdapi

    jd=myjdapi.myjdapi()
    jd.connect("example@example.com","password")
    jd.getDevices()
    jd.getDevice(name="DeviceName").linkgrabber.addLinks([{"autostart" : False, "links" : "https://mega.nz/#!xxxxxxxxxxxxxxxxxxxxxxxxxxxx,http://mediafire.com/download/xxxxxxxxxxxxxxxx/","packageName" : TEST" }])

DOCUMENTATION
=============

http://myjdownloader-api-python-library.readthedocs.org/en/latest/myjdapi.html#module-myjdapi

LICENSE
=======

The MIT License (MIT)

Copyright (c) 2015 Marc Marquez Santamaria

Permission is hereby granted, free of charge, to any person obtaining a
copy of this software and associated documentation files (the
"Software"), to deal in the Software without restriction, including
without limitation the rights to use, copy, modify, merge, publish,
distribute, sublicense, and/or sell copies of the Software, and to
permit persons to whom the Software is furnished to do so, subject to
the following conditions:

The above copyright notice and this permission notice shall be included
in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS
OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.
IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY
CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT,
TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE
SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
baseweb 0.4.3
A Pythonic base for building interactive web applications
License: MIT
Keywords: Flask Vue REST SocketIO

# baseweb

> A Pythonic base for building interactive web applications

[![Latest Version on PyPI](https://img.shields.io/pypi/v/baseweb.svg)](https://pypi.python.org/pypi/baseweb/)
[![Supported Implementations](https://img.shields.io/pypi/pyversions/baseweb.svg)](https://pypi.python.org/pypi/baseweb/)
![Build Status](https://github.com/christophevg/baseweb/actions/workflows/test.yaml/badge.svg)
[![Documentation Status](https://readthedocs.org/projects/baseweb/badge/?version=latest)](https://baseweb.readthedocs.io/en/latest/?badge=latest)
[![Coverage Status](https://coveralls.io/repos/github/christophevg/baseweb/badge.svg?branch=master)](https://coveralls.io/github/christophevg/baseweb?branch=master)
[![Built with PyPi Template](https://img.shields.io/badge/PyPi_Template-v1.0.0-blue.svg)](https://github.com/christophevg/pypi-template)



## Documentation

Visit [Read the Docs](https://baseweb.readthedocs.org) for the full documentation, including overviews and several examples.
MatPlus 0.2.1
This package is for easy, convenient plotting in Python.
License: MIT
Requires Python: >=3.8
Keywords: Plotting Python Matplotlib

# MatPlus

[![CI/CD](https://github.com/ac-i2i-engineering/MatPlus/actions/workflows/test.yml/badge.svg)](https://github.com/ac-i2i-engineering/MatPlus/actions/workflows/test.yml)
[![Coverage](https://coveralls.io/repos/github/ac-i2i-engineering/MatPlus/badge.svg)](https://coveralls.io/github/ac-i2i-engineering/MatPlus)
[![Docs](https://github.com/ac-i2i-engineering/MatPlus/actions/workflows/docs.yml/badge.svg)](https://github.com/ac-i2i-engineering/MatPlus/actions/workflows/docs.yml)
[![Documentation](https://img.shields.io/badge/docs-latest-blue.svg)](https://ac-i2i-engineering.github.io/MatPlus/)

MatPlus is a Python package that provides easy, convenient plotting capabilities built on top of matplotlib. It simplifies the creation of common visualization types with intuitive APIs.

## Installation

Install MatPlus using pip:

```bash
pip install MatPlus
```

## Quickstart
Bar Plot
```python
import numpy as np
from MatPlus import BarPlot

x = np.array([1, 2, 3, 4, 5])
y = np.array([10, 15, 7, 12, 9])

bar = BarPlot(x, y)
bar.plot()
```

Scatter Plot
```python
from MatPlus import ScatterPlot

x = [1, 2, 3, 4, 5]
y = [1, 4, 9, 16, 25]

# Basic scatter plot
scatter = ScatterPlot(x, y)
scatter.plot()

# Scatter with custom sizes and colors
sizes = [10, 20, 30, 40, 50]
colors = [0.1, 0.5, 0.7, 0.9, 1.0]
scatter = ScatterPlot(x, y, sizes=sizes, colors=colors, vmin=0, vmax=1)
scatter.plot()
```

Line Plot
```python
from MatPlus import LinePlot

# Single line plot
x = [1, 2, 3, 4, 5]
y = [1, 4, 9, 16, 25]
line_plot = LinePlot(x, y)
line_plot.plot()

# Multiple line plot
x = [[1, 2, 3], [1, 2, 3, 4]]
y = [[1, 2, 3], [4, 3, 2, 1]]
line_plot = LinePlot(x, y, lowerlimx=0, upperlimx=5)
line_plot.plot()
```

Box Plot
```python
from MatPlus import BoxPlot

data = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
box = BoxPlot(data)
box.plot()
```

Histogram
```python
from MatPlus import Histogram
import numpy as np

data = np.random.normal(0, 1, 1000)
hist = Histogram(data)
hist.plot()
```

Stem Plot
```python
from MatPlus import StemPlot
import numpy as np

x = np.arange(0, 10)
y = np.sin(x)

stem = StemPlot(x, y)
stem.plot()
```

## Documentation
For detailed API documentation, visit our [documentation site](https://ac-i2i-engineering.github.io/MatPlus/).

## Examples
For detailed examples of MatPlus usage in jupyter notebooks, please refer to the [examples in our GitHub](https://github.com/ac-i2i-engineering/MatPlus/tree/main/examples)