semvec/pypi-packages huggingface dataset:
envclasses 0.3.1
envclasses is a library to map fields on dataclass object to environment variables
License: MIT
Requires Python: >=3.6,<4.0

# `envclasses`

[![image](https://img.shields.io/pypi/v/envclasses.svg)](https://pypi.org/project/envclasses/)
[![image](https://img.shields.io/pypi/pyversions/envclasses.svg)](https://pypi.org/project/envclasses/)
![Test](https://github.com/yukinarit/envclasses/workflows/Test/badge.svg)

*`envclasses` is a library to map fields on dataclass object to environment variables.*

## Installation

```bash
pip install envclasses
```

## Usage

Declare a class with `dataclass` and `envclass` decorators.

```python
from envclasses import envclass, load_env
from dataclasses import dataclass

@envclass
@dataclass
class Foo:
    v: int

foo = Foo(v=10)
load_env(foo, prefix='foo')
print(foo)
```

Run the script

```
$ python foo.py
Foo(v=10)
```

Run with environment variable

```
$ FOO_V=100 python foo.py
Foo(v=100)
```
twitterEye 1.0.0
Analyze and visualize how public is reacting to a certain topic on Twitter
License: MIT
Keywords: twitter sentimentanalysis visualization

twitterEye 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)  

Change Log
===========

1.0.0 (18/10/2022)
------------------
- First release with only function named analyze_keyword, this function can fetch tweets from twitter, analyze and visualize them.
- Future releases will have advanced features like, urdu and roman urdu tweets analyzer support.