semvec/pypi-packages huggingface dataset:
twitter-sentiment-analyser-visualizer 0.0.1
Analyze and visualize how public is reacting to a certain topic on Twitter
License: MIT
Keywords: twitter,sentimentanalysis,visualization

twitter-sentiment-analysis is a python library, designed for making twitter sentiment analysis easy and approachable to every one,
First you have to signup for twitter developers portal, use the provided secret keys in the builtin function with
the topic keyword you want to analyze and opt for results visualization.
The function can be called as follows with mentioned data types of arguments.
analyze_keyword(consumer_key: str, consumer_secret: str, access_token: str, access_token_secret: str, keyword: str, tweets_limit: int = 1000, visualize: bool = True)
experimentor 0.4.1
Basic building blocks for controlling complex setups
License: MIT
Requires Python: >=3.8

[![Build Status](https://travis-ci.com/aquilesC/experimentor.svg?branch=main)](https://travis-ci.com/aquilesC/experimentor)
[![Documentation Status](https://readthedocs.org/projects/experimentor/badge/?version=latest)](https://experimentor.readthedocs.io/en/latest/?badge=latest) [![codecov](https://codecov.io/gh/aquilesC/experimentor/branch/master/graph/badge.svg)](https://codecov.io/gh/aquilesC/experimentor)

# Experimentor v0.2.0

**A flexible package for experiment control and automation**

Experimentor is a framework that simplifies the task of building instrumentation software in Python. It follows the MVC pattern to the letter. Controllers are drivers, Models implement the logic of the instruments and the experiments themselves, while the View specifies the user interface. 

Experimentor is opinionated, but allows to be extended mostly by subclassing general classes and overwriting specific 
methods. 

## Installing

The code of this program is the repository that can be found at ``https://github.com/aquilesC/experimentor``. You may also check the website [Python for the Lab](https://www.pythonforthelab.com) for some updates and comments that may not enter into this documentation.

## Documentation

To read more about how to get started with the Experimentor package, check the [documentation on Read The Docs](https://experimentor.readthedocs.io/en/latest/).

## Work In Progress

Experimentor is work in progress, meaning that we can introduce backwards-incompatible changes. We will try to give some 
warning time prior to this, but we can't guarantee it. 

## Helping with Development
We welcome contributions from anyone. Please check the [Contribution Guidelines](CONTRIBUTING.md) to learn how you can contribute to the project.
pyqt-svg-icon-text-widget 0.0.31
PyQt widget consists of svg icon label and text label side by side
License: MIT


# pyqt-svg-icon-text-widget
PyQt widget consists of textless QLabel which has svg image as an icon on the left and text included QLabel on the right. 

This module is useful to set the icon included title bar.

## Requirements
* PyQt5 >= 5.8

## Setup
`python -m pip install pyqt-svg-icon-text-widget`

## Included Package
* <a href="https://github.com/yjg30737/pyqt-svg-label.git">pyqt-svg-label</a>

## Usage
* `setSvgFile(filename: str)` to set svg file
* `setText(text: str)` to set text

## Note
Svg icon `QLabel`'s maximum height is set according to text included `QLabel`'s font height.

## Example
Code Sample
```python
from PyQt5.QtWidgets import QApplication
from pyqt_svg_icon_text_widget import SvgIconTextWidget


if __name__ == "__main__":
    import sys

    app = QApplication(sys.argv)
    ex = SvgIconTextWidget()
    ex.setSvgFile('ico/dark-notepad.svg')
    ex.setText('Dark Notepad')
    ex.show()
    sys.exit(app.exec_())
```

Result

![image](https://user-images.githubusercontent.com/55078043/153750415-c9f99eb7-46be-4703-9751-18578e839f4b.png)