Skip to main content

A small python package

Project description

# LinkInCell 🔗

[![PyPI version](https://badge.fury.io/py/LinkInCell.svg)](https://badge.fury.io/py/LinkInCell) [![Python Versions](https://img.shields.io/pypi/pyversions/LinkInCell.svg)](https://pypi.org/project/LinkInCell/) [![License](https://img.shields.io/badge/License-Apache_2.0-blue.svg)](https://opensource.org/licenses/Apache-2.0)

LinkInCell is a lightweight PyPI package that brings the web to your Jupyter environment. It allows you to seamlessly render fully interactive websites and embedded YouTube videos directly inside your .ipynb notebook cells.

## ✨ Features

  • Render Any Website: Display live, interactive web pages within an iframe in your notebook.

  • YouTube Integration: Native support for embedding and playing YouTube videos without leaving your workflow.

  • Lightweight & Fast: Minimal dependencies, designed specifically for Jupyter environments.

  • Customizable: Adjust the width and height of the rendering area to fit your screen perfectly.

## 📦 Installation

You can install LinkInCell directly from PyPI using pip:

`bash pip install LinkInCell `

# How to install this package in your system

`bash conda create -n LinkInCell_env python=3.8 -y `

`bash conda activate LinkInCell_env `

`bash pip install -r requirements_dev.txt `

## 🚀 Usage

Using LinkInCell is incredibly simple. Import the package and pass your target URL.

### 1. Rendering a Website

python from linkincell import render_web

# Render a full webpage inside your notebook cell render_web(”https://en.wikipedia.org/wiki/Python_(programming_language)”, width=”100%”, height=”500px”)

### 2. Rendering a YouTube Video

python from linkincell import render_youtube

# Pass the standard YouTube URL or the video ID render_youtube(”https://www.youtube.com/watch?v=dQw4w9WgXcQ”, width=800, height=450)

## 🛠️ Requirements

  • Python 3.6+

  • Jupyter Notebook or JupyterLab

  • IPython (Usually comes pre-installed with Jupyter)

## 🤝 Contributing

Contributions, issues, and feature requests are welcome! Since open-source collaboration thrives on shared knowledge, feel free to check the [issues page](#) if you want to contribute.

  1. Fork the Project

  2. Create your Feature Branch (git checkout -b feature/AmazingFeature)

  3. Commit your Changes (git commit -m ‘Add some AmazingFeature’)

  4. Push to the Branch (git push origin feature/AmazingFeature)

  5. Open a Pull Request

## 📄 License

Distributed under the Apache License 2.0. See LICENSE for more information.

Built for the community, by the community.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

linkincell-0.0.1.tar.gz (8.0 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

linkincell-0.0.1-py3-none-any.whl (8.3 kB view details)

Uploaded Python 3

File details

Details for the file linkincell-0.0.1.tar.gz.

File metadata

  • Download URL: linkincell-0.0.1.tar.gz
  • Upload date:
  • Size: 8.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.9.25

File hashes

Hashes for linkincell-0.0.1.tar.gz
Algorithm Hash digest
SHA256 0be05ee751e0c2628e0519ace4b95939c06d6a09261467fe4940050bc9538461
MD5 7a8515df3e6381a5fadfc278feabafd5
BLAKE2b-256 aaf32ae69721397b97792e64cd0f2f2366ad23b8585650d243ae0808d4c70b3d

See more details on using hashes here.

File details

Details for the file linkincell-0.0.1-py3-none-any.whl.

File metadata

  • Download URL: linkincell-0.0.1-py3-none-any.whl
  • Upload date:
  • Size: 8.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.9.25

File hashes

Hashes for linkincell-0.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 d6dbe221a8514d381d18c68dd59cdb3294589bd53abdaa3c9a4b7959ec6548b0
MD5 88ddb517998795b5e8353bc1371269e7
BLAKE2b-256 a7e825db78995d0fe62d38cfe7b3d4d853ae845f7b3eba070f38e5eb44ce0b87

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page