Metadata-Version: 2.1
Name: vizpool
Version: 0.0.12.post2
Summary: A Python Library with Low-Code support for Basic to Advance Static & Interactive Visualizations
Home-page: https://github.com/Hassi34/vizpool
Author: Hasanain Mehmood
Author-email: hasanain@aicaliber.com
License: MIT
Project-URL: Bug Tracker, https://github.com/Hassi34/vizpool/issues
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Science/Research
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: License :: OSI Approved :: MIT License
Classifier: Topic :: Scientific/Engineering :: Visualization
Classifier: Operating System :: OS Independent
Requires-Python: >=3.7
Description-Content-Type: text/markdown
License-File: LICENSE

<p align="center">
    <b>
        <h1 align="center">📊 VizPool 📊</h1>
    </b>
</p>
<p align="center">
    <em>A Python Library Having Low-Code Support for Basic to Advance Static & Interactive Data Visualization</em>
</p>

<p align="center">
    <a href="https://pypi.org/project/vizpool">
        <img alt="PyPI Version" src="https://img.shields.io/pypi/v/vizpool?color=g">
    </a>
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    </a>
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</p>

## Overview
VizPool enables you to create impressive static and interactive visuals with just one line of code while also providing the higher standards of customization. You will be introduced to a number of class methods to choose from. You can call these methods with specific keyword or positional arguments to generate amazing static and interactive visuals.<br>
Following are the major contents to follow, you can jump to any section:

>   1. [Installation](#install-)
>   2. [Usage](#use-)
>   3. [Getting Started with VizPool (Tutorials)](#tutorials-)
>   4. [Contributing](#contributing-)
### 🔗 Project Link
**``VizPool``** is being distributed through PyPI. Check out the PyPI Package [here](https://pypi.org/project/vizpool/)


### Installation<a id='install-'></a>
Install via Pip!
```bash
pip install vizpool
```
### Usage<a id='use-'></a>
Import the components and use it like any other python package
* Static Visuals
```bash
from vizpool.static import EDA
from vizpool.static import Evaluation
```
* Interactive Visuals
```bash
from vizpool.interactive import EDA
```
### Quickstart<a id='tutorials-'></a>

* Ensure you have [Python 3.7+](https://www.python.org/downloads/) installed.

* Create a new Python conda environment for the vizpool:

```
$ conda create -n venv  # create venv
$ conda activate venv  # activate venv
$ pip install vizpool # install vizpool
```

* Create a new Python virtual environment with pip for the vizpool:
```
$ python3 -m venv venv  # create venv
$ . venv/bin/activate   # activate venv
$ pip install vizpool # install vizpool
```
👉 PLease follow the links below to get the complete interactive tutorials on **getting stated with VizPool**:<br>
    1)- [VizPool Static API](https://jovian.ai/hasnainmehmood3435/vizpool-static-api)<br>
    2)- [VizPool Interactive API](https://jovian.ai/hasnainmehmood3435/vizpool-interactive-api)<br><br>
👉 PDF versions of the tutorials are available at the following links:<br>
    1)- [VizPool Static API](https://github.com/Hassi34/vizpool/blob/master/vizpool-static-api.pdf)<br>
    2)- [VizPool Interactive API](https://github.com/Hassi34/vizpool/blob/master/vizpool-interactive-api.pdf)<br>
### Contributing<a id='contributing-'></a>
Yes, Please!  We believe that there is alot of oportunity to make even the most complex visuals available for data comunity, so let's make it more efficient, let's go with low-code!!

#### **Please give this repository a star if you find our work useful, Thank you! 🙏**<br><br>

**Copyright &copy; 2022 VizPool** <br>
Let's connect on **[``LinkedIn``](https://www.linkedin.com/in/hasanain-mehmood-a37a4116b/)** <br>



