semvec/pypi-packages huggingface dataset:
html2excel 0.0.6
Convert HTML Table to Excel file
License: MIT

# HTML2Excel Documentation
Library to convert HTML Tables to Excel file.

While libraries like pandas do read html files, they often don't work with merged cells and line breaks.
This library was created with the sole intention of converting HTML tables to Excel files
as they're seen while opening them with softwares such as MS Excel and LibreOffice. 

A sample flask host code is provided [in this link](https://github.com/Annmayn/sample-host-html2excel)

## Installation
```pip install html2excel```


## Usage

### Running from command line

```python -m html2excel input_file output_file```

### Using as package
```python
from html2excel import ExcelParser

input_file = '/tmp/text_file.html'
output_file = '/tmp/converted_file.xlsx'

parser = ExcelParser(input_file)
parser.to_excel(output_file)
```
async-web3 0.3.1
Async Web3 library
License: MIT
Requires Python: >=3.9,<4.0
Keywords: ethereum,web3,asyncio

This is an opinionated web3 library.

1. async as the first citizen.
2. websocket support as the first citizen.
3. it supports `eth_subscribe()` and `eth_unsubscribe()`.

```
        w3 = AsyncWeb3(WebsocketTransport("ws://127.0.0.1:8546"))
        await w3.connect()
        block_stream = await w3.subscribe_block()
        async for new_block in block_stream:
            print(f"got new block: {new_block}")
```
4. It has no middleware support.


This library tries to simplify the interaction with the *deployed* contracts. If you want to deploy a new smart contract, please checkout the awesome `brownie` tool.

How to Contribute:

1. install `poetry`
2. under this folder, run `poetry install`
3. then run `poetry shell`
4. start the development
5. run `poetry run pytest`
6. send PR
iads 0.1.0
"Python library for machine learning developed for the Data Science course in Licence 3 at the Sorbonne University"
License: MIT
Requires Python: >=3.7
Keywords: pca,machine learning,classification,clustering

# indeed_mongodb_scrapper
 Indeed Scrapper storing the data on MongoDB database
# Installation
## Using Pip
```bash
  $ pip install iads
```
## Manual
```bash
  $ git clone https://github.com/MelissaLarbi/iads.git
  $ cd iads
  $ python setup.py install
```
# Usage
```bash
$ iads
```
Dev-WordList-Gen 0.0.3
Create a Wordlist Easily.
License: MIT
Keywords: wordlist

Dev_WordList_Gen
Author : Logendher Gunasekaran
Getting Started
Create Your Simple Wordlist in Very Easy Steps

import Dev_WordList_Gen

chrs="1234567890"
mins=1
maxs=1
Dev_WordList_Gen.dev_generate(chrs,mins,maxs)

output

0
1
2
3
4
5
6
7
8
9


Change Log
==========

0.0.1 (29/05/2021)
------------------
- First Release