semvec/pypi-packages huggingface dataset:
nba-transactions-scraper 1.1.0
A package for scraping NBA trades and transactions.
Requires Python: >=3.6


# NBA Trades and Transactions Scraper

  

This is a simple library to scrape NBA [ProSports](https://www.prosportstransactions.com/basketball/) trades and transactions data.

  

## Usage

  

  

```bash

pip install nba-transactions-scraper

```

  

  

## Methods

  

### `run(team, start, end)`

returns a Pandas dataframe of NBA transactions for a specific team from start date to end date (defaults to current date). Date format: ('yyyy-mm-dd')

  

## Example

`from nba_transactions_scraper.main import ProSports_Scraper`

`scraper = ProSports_Scraper()`

`results = scraper.run('Lakers', '2021-01-01') `

  

## Next Additions

  

- [ ] Multi-team argument

- [ ] Extracting trade $ values

- [ ] Draft Pick transactions

- [ ] Category of transactions

  

  

## Contributing

  

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

  

  

## License

  

[MIT](https://choosealicense.com/licenses/mit/)
mixpython 0.1.0
mix
Requires Python: >=3.6

# MIX python

This package is both a tutorial paper and a library of classic TAOCP algorithms in the Python language

_**The Art of Computer Programming ([TAOCP](https://en.wikipedia.org/wiki/The_Art_of_Computer_Programming))**_ is a comprehensive monograph written by computer scientist Donald Knuth that covers many kinds of programming algorithms and their analysis.

Install:

`pip install mixpython`

Simple usage:

```
import mixpython.algorithms as mix

alg = mix.Algorithms(logger=True) # mix.Algorithms - A base class that implements the algorithms and minimum settings

alg.euclid_e(45678, 86)
```