Ipynb file is a file that allows you to create and share documents that contain live code, equations, visualizations and narrative text. Ipynb usually uses for data cleaning and transformation, numerical simulation, statistical modeling, data visualization, machine learning, and much more. The easy way to open this file is by installing vscode. You can download vscode in their official website.
https://code.visualstudio.com/downloadBut
the best way to open and run a program inside the ipynb file is by installing jupyter notebook library that available in python.
pip install jupyter
After you finish install the library, you should open command line (cmd) or terminal and point it to the directory of the ipynb file. And then run the command below. It will automatically open the file in the web browser. If you wanna stop the jupyter notebook you can click the quit button.
jupyter notebook
By using jupyter notebook you will get this following advantage
- If you have a piece of code and you want to explain step by step how it works, with immediate feedback along the way, you can embed it in a Jupyter Notebook. Best of all, the code will still be fully functional. You can add interactivity along with annotations, which are displayed and told at the same time.
- Most people have their first exposure to Jupyter Notebooks through data visualization, a shared notebook that includes a rendering of some data set as a graph. Jupyter Notebook allows you to create visualizations, but also share them and allows interactive changes to code and shared data sets.
- Cloud services like GitHub and Pastebin provide a way to share code, but they are mostly non-interactive. With Jupyter Notebook, you can view code, run it, and display the results right in your web browser.
- Jupyter Notebook code is not static; it can be edited and rerun incrementally, with feedback provided directly in the browser. Notebooks can also embed user controls (eg sliders or text input fields) that can be used as input sources for code.
