semvec/pypi-packages huggingface dataset:
tfidf-transformer-afiniti 0.4
A package for performing TF-IDF transformation on text data

# TFIDF Transformer Afiniti

A package for performing TF-IDF transformation on text data.
This project developing for an assessment:

Create a framework that does tf-idf transformation, you can use sklearn's tfidf function.
Keep the following in mind

* Handle Edge Cases : what happens when new text data arrives
* Create Unit Tests : check failure scenarios
* Add Docstrings : assume you will hand this code to some other SWE
* Obey Engineering Best Practices
* Use necessary inheritances

Create a (pypi) package out of this framework.

## Installation

Use the package manager [pip](https://pip.pypa.io/en/stable/) to install.

```bash
pip install tfidf-transformer-afiniti
```

## Usage

```python
from tfidf_transformer_afiniti.main import TfidfFramework

framework = TfidfFramework()

# Append some data to the data list
data = ["This is the first document.", "This document is the second document.", "And this is the third one."]
for d in data:
    framework.append_data(d)

# Print the tf-idf matrix
print(framework.tfidf_matrix.toarray())

# Add new one
new_data = "this is a new test document"
framework.append_data(new_data)
# Print the tf-idf matrix
print(framework.tfidf_matrix.toarray())

# Add new list
new_list_data = ["And this is the realy fifth one.","And this is the finaly sixth one."]  
framework.append_list_data(new_list_data)
# Print the tf-idf matrix
print(framework.tfidf_matrix.toarray())
```

## Usage

```bash
python -m unittest tfidf_transformer_afiniti/tfidf_test.py
```
reddcolors 0.1.0
A very simple library for color management alongside jupyterthemes.
Requires Python: >=3.6

# Reddcolors

A very simple library for color management alongside jupyterthemes.

# Overview
Reddcolors is a very simple tool for color management for working alongside [jupyterthemes](https://github.com/dunovank/jupyter-themes).

# Dependencies

This code makes use of:
  - matplotlib
  - Jupyter ([Anaconda](https://www.anaconda.com) recommended)
  - [jupyterthemes](https://github.com/dunovank/jupyter-themes)

Most of them come with conda, if some are missing they can be easily installed with pip.

# Installation

In the console type in
```sh
pip3 install reddcolors
```

```sh
# upgrade to latest version
pip install --upgrade reddcolors
```

# Usage

I'll write something here soon.
urlz 0.1.2
Simple Pathlib-like usage of URLs

# urlz
![GitHub Workflow Status](https://img.shields.io/github/actions/workflow/status/steveberardi/urlz/test.yml?style=for-the-badge)
![PyPI - Python Version](https://img.shields.io/pypi/pyversions/urlz?style=for-the-badge)
![PyPI](https://img.shields.io/pypi/v/urlz?style=for-the-badge)

urlz is a simple URL parsing library that provides Pathlib-like usage to URLs in Python:

```python
>>>> from urlz import URL
>>>> url = URL("https://wordbrew.io")
>>>> str(url / "about" / "index.html")
'https://wordbrew.io/about/index.html'
```

It also provides a special URL-building function `urlify`:

```python
>>>> from urlz import urlify
>>>> urlify("https://wordbrew.io", "about", "index.html")
'https://wordbrew.io/about/index.html'

# with querystring params:
>>>> urlify("https://wordbrew.io", "search", params={"q": "hello world"})
'https://wordbrew.io/search?q=hello+world'
```

## Installation
```
pip install urlz
```

## TODO
- QS param helpers
- Path replacements (e.g. `url.replace(path="/new/stuff/")`)
- Validation helpers


## Alternatives
For more URL-parsing fun, check out these libraries:

- [furl](https://github.com/gruns/furl)
- [purl](https://github.com/codeinthehole/purl)
- [imurl](https://github.com/thesketh/imurl)
waitlyst-python 1.6.0
The easiest way to track product analytics with python.
Requires Python: >=2.7
Keywords: analytics,tracking

![Logo](./documentation/assets/waitlyst-github.png)

# waitlyst-python is a lightweight python library for tracking product analytics.

- Track every event on your app
- Understand your users and how to improve your product

## Documentation
Please visit https://waitlyst.co/docs to view the complete documentation.

## Getting Started
This module is distributed via pypi. You can install it using pip:


```sh
pip install waitlyst-python
```

## Tracking product analytics
![Logo](./documentation/assets/github-analytics.png)

#### Using waitlyst-python:

```python
from waitlyst.index import Waitlyst

waitlyst = Waitlyst('YOUR_SECRET_KEY')

# Before tracking any event, you need to identify the user
waitlyst.identify('USER_ID')

waitlyst.identify('USER_ID', {
    'firstName': 'John',
    'lastName': 'Doe',
    'email': 'test@example.com'
})

# or you can use an anonymous id if you don't have a user id
# when you identify a user with an anonymous id, waitlyst will automatically
# reconcile the user in your dashboard
waitlyst.set_anonymous_id('ANONYMOUS_ID')


# Tracking pageviews
waitlyst.page('Home Page')

waitlyst.page('/homepage')

waitlyst.page('/homepage', {
    'url': 'https://example.com/homepage/',
    'title': 'Home page'
})

# Track a custom event
waitlyst.track('itemPurchased', {
    "price": 3000,
    "id": '1234',
    "quantity": 1 
})
```
chatsonic-py 0.1.0
ChatGPT Alternative API with real time superpowers
Requires Python: >=3.10,<4.0


# ChatSonic API, (Scalable ChatGPT Alternative with real time data) 



ChatSonic's Python SDK is the perfect solution for anyone looking to integrate an AI-powered Chatbot into their Python-based codebase. With real-time Google data support and a powerful engine that surpasses ChatGPT, ChatSonic's Python SDK is the perfect AI assistant and conversation partner. Easily access the power of ChatGPT API with this SDK and make your codebases smarter than ever. With ChatSonic's Python SDK, you can take your project to the next level.



## License


[![MIT License](https://img.shields.io/badge/License-MIT-green.svg)](https://choosealicense.com/licenses/mit/)
## Installation 

``` pip install chatsonic-py ```


## Usage :


```Python
from chatsonic_py import Conversation

chatsonic = Conversation(api_key="your-key-here",enable_memory=True)
reply = chatsonic.send_message(message="Hello")
print(reply)

```



## Documentation

[Documentation](https://linktodocumentation)


## Feedback

If you have any feedback, please reach out to us at support@writesonic.com