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NoseBleedSection

nose-beed-logo

Description

Nosebleed Section is a Django web application that provides basketball enthusiasts with up-to-date NBA news and player statistics. Through the use of nba_api and beautifulsoup - it serves as a one-stop platform for users to stay informed about the latest happenings in the world of the National Basketball Association.

Table of Contents

Installation

  • nba_api is an API Client for www.nba.com. It requires Python 3.7+
    pip install nba_api
    

To run the Project Name locally on your machine, follow these steps:

  • Clone the repository: git clone https://github.com/Kudzmat/NoseBleedSection.git
  • Navigate to the project directory: cd project-name
  • Create a virtual environment: python -m venv venv
  • Activate the virtual environment:
    • On Windows: venv\Scripts\activate
    • On macOS and Linux: source venv/bin/activate
  • Install the dependencies: pip install -r requirements.txt
  • Run the development server: python manage.py runserver

Features

  • NBA News: Stay informed about the latest NBA news, rumors, and updates from reliable sources in the basketball community.

  • Player Search: Use the player search feature to find detailed statistics and information about NBA players easily. Users can search for players by name, team, position, or other criteria.

  • Player comparison: Use the comparison feature to compare two players head-to-head.

Usage

  • Launch your web browser and go to http://localhost:8000/ to access the application.
  • Navigate through the different sections to explore NBA news and player statistics.
Screen Shot 2023-11-02 at 3 48 59 PM

Use the player search feature to find specific player information by entering their name.

Screen Shot 2023-08-07 at 8 02 24 PM

Browse various statistical categories for the regular season and playoffs.

Screen Shot 2023-08-07 at 8 03 53 PM

Enter two players to begin the comparison

Screen Shot 2023-11-02 at 4 06 50 PM

Select a statistical category to view a visual graph comparison between the players

Screen Shot 2023-11-02 at 4 07 23 PM Screen Shot 2023-11-02 at 4 07 47 PM

View a visual comparison of the two players

Screen Shot 2023-11-02 at 4 08 57 PM

Use the News feature to catch up on the latest stories and events happening in the association

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Technologies Used

  • Frontend: HTML, CSS, Bootstrap, Jinja Templates

  • Backend: Python, Django Web Framework

Contributing

We welcome contributions from the open-source community. If you find any issues or want to suggest enhancements, feel free to create a pull request or submit an issue. For more information on contributing visit https://github.com/Kudzmat/NoseBleedSection/blob/master/CONTRIBUTING.md

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