semvec/pypi-packages huggingface dataset:
dsforge 0.1.2
A package to create a data science project structure
License: MIT
Requires Python: >=3.10

This package automates the creation of a basic directory structure and files for a data science or machine learning project. It is designed to set up an empty project with standard directories and placeholder files, making it easier to start your project.

The package will create the following structure and files:

    .
    ├── .github
    │   └── workflows
    │       └── .gitkeep
    ├── src
    │   └── (projectName)
    │       ├── __init__.py
    │       ├── modules
    │       │   └── __init__.py
    │       ├── utilities
    │       │   └── __init__.py
    │       ├── pipeline
    │       │   └── __init__.py
    │       ├── constants
    │       │   └── __init__.py
    ├── models
    │   └── .gitkeep
    ├── logs
    │   └── .gitkeep
    ├── data
    │   ├── raw
    │   │   └── .gitkeep
    │   ├── intermediate
    │   │   └── .gitkeep
    │   └── processed
    │       └── .gitkeep
    ├── exports
    │   └── .gitkeep
    ├── reports
    │   └── .gitkeep
    ├── research
    │   └── experiments.ipynb
    ├── tests
    │   └── .gitkeep
    ├── main.py
    ├── app.py
    ├── Dockerfile
    ├── requirements.txt
    ├── setup.py
    └── README.md


## Usage

Run the script from the directory where you intend to create the project template.

```python
# Replace 'MyProject' according to your project's name

from dsforge import creator
creator("MyProject")

 ```

## Notes:

The script will log each directory and file creation.
Below is a guide for folder usage:

  - **src/(projectName):** Main source code directory.
  - **models:** Reserved for storing model files.
  - **data:** For storing raw/intermediate/processed data files.
  - **reports:** For storing graphs and reports.
  - **exports:** For storing outputs and other file exports.
  - **research:** Jupyter notebook for experiments.
  - **tests:** Reserved for test scripts.
  - **main.py:** Main entry point for the project.
  - **app.py:** Web-app specific code.
mls-api 2.0.3
Python library for integrating with the MLS (Major League Soccer) API.
License: MIT
Requires Python: >=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*
Keywords: mls,mls api,mls_api,major league soccer,hori,horisystems,hori systems

mls-api
========

.. image:: https://badge.fury.io/py/mls-api.svg
    :target: https://badge.fury.io/py/mls-api
    :alt: MLS API Python Package Version

Python library for integrating with `MLS API`_ functionality.

.. _MLS API: https://horisystems.com/mls-api/


Requirements
-------------

Python 2.7 and later.


Setup
------

You can install this package by using the pip tool and installing:

.. code-block:: bash

	$ pip install mls-api

Or:

.. code-block:: bash

	$ easy_install mls-api


Usage Example
-------------

.. code-block:: python

    import mls_api
    from dotenv import load_dotenv
    import os

    ## Loads environment variables from .env
    load_dotenv('.env')

    username = os.getenv('_USERNAME')
    password = os.getenv('_PASSWORD')

    ## Authentication
    mls_api.login(username, password)

    ## Retrieve MLS Real-Time Data
    mls_rtd = mls_api.get_rtd()
    print(mls_rtd)

    ## Retrieve MLS Historical Data
    mls_historical = mls_api.get_historical_data()
    print(mls_historical)

    ## Retrieve MLS Players Data
    limit = 5
    offset = 5

    mls_players_l = mls_api.get_players(limit=limit)
    print(mls_players_l)

    mls_players = mls_api.get_players(limit=limit, offset=offset)
    print(mls_players)

    ## Retrieve MLS Assist Data
    mls_assists = mls_api.get_assists()
    print(mls_assists)

    ## Retrieve MLS Offence Data
    mls_offence = mls_api.get_offence()
    print(mls_offence)

    ## Retrieve MLS Top Scorers Data
    mls_top_scorer = mls_api.get_top_scorer()
    print(mls_top_scorer)

    ## Retrieve MLS Teams Data
    mls_teams = mls_api.get_teams()
    print(mls_teams)

    ## Retrieve MLS Fixtures Data
    mls_fixtures = mls_api.get_fixtures()
    print(mls_fixtures)

    ## Retrieve MLS Standings Data
    mls_standings = mls_api.get_standings()
    print(mls_standings)

    ## Retrieve MLS Latest News Data
    mls_latest_news = mls_api.get_latest_news()
    print(mls_latest_news)


Setting up an MLS API Account
-----------------------------

Sign up for a self-service `user account`_.

.. _user account: https://horisystems.com/mls-api/


Using the MLS API
------------------

You can read the `API documentation`_ to understand what's possible with the MLS API. If you need further assistance, don't hesitate to `contact us`_.

.. _API documentation: https://horisystems.com/docs/mls-api/
.. _contact us: https://horisystems.com/contact/

License
--------

This project is licensed under the `MIT License`_.  

.. _MIT License: https://horisystems.com/


Copyright
----------

Copyright |copy| 2020 - 2024 `Hori Systems Limited`_. All Rights Reserved.

.. |copy| unicode:: 0xA9 .. copyright sign
.. _Hori Systems Limited: https://horisystems.com/
pymojang 2.0.6
It's a full wrapper arround the Mojang API and Mojang Authentication API
License: MIT
Keywords: minecraft,mojang,python3

[![PyPI](https://img.shields.io/pypi/v/pymojang)](https://pypi.org/project/pymojang/)
[![CI](https://github.com/Lucino772/pymojang/actions/workflows/ci.yml/badge.svg)](https://github.com/Lucino772/pymojang/actions/workflows/ci.yml)
[![docs](https://github.com/Lucino772/pymojang/actions/workflows/deploy-docs.yml/badge.svg)](https://github.com/Lucino772/pymojang/actions/workflows/deploy-docs.yml)
[![pre-commit.ci status](https://results.pre-commit.ci/badge/github/Lucino772/pymojang/main.svg)](https://results.pre-commit.ci/latest/github/Lucino772/pymojang/main)
[![codecov](https://codecov.io/gh/Lucino772/pymojang/branch/main/graph/badge.svg?token=5Q6PRUXL4T)](https://codecov.io/gh/Lucino772/pymojang)
![PyPI - Downloads](https://img.shields.io/pypi/dm/pymojang)
![PyPI - Python Version](https://img.shields.io/pypi/pyversions/pymojang)

# Pymojang
PyMojang is a full wrapper of the [Mojang API](https://wiki.vg/Mojang_API) and [Mojang Authentication API](https://wiki.vg/Authentication).
It also support the [Microsoft Authentication Scheme](https://wiki.vg/Microsoft_Authentication_Scheme).

## Installation

To install the library use the following command:

```bash
pip install pymojang
```

Checkout the [documentation](https://lucino772.github.io/pymojang/)

## Licence
This project uses a
**MIT** Licence [view](https://github.com/Lucino772/pymojang/blob/main/LICENSE)