Artificial Intelligence
Please fill the required field.

nipyy file


A `.nipynb` or `.ipynb` file is an interactive notebook file used primarily with Jupyter Notebooks. These files contain a JSON formatted data structure that stores both the code (like Python) and the output of the code, as well as Markdown text, visualizations, and other elements. Here's a quick overview of how to utilize Jupyter notebooks with `.ipynb` files: ### How to Open a Jupyter Notebook: 1. **Install Jupyter**: If you haven't installed Jupyter yet, you can do so via pip: ```bash pip install notebook ``` 2. **Launch Jupyter Notebook**: Run the command in your terminal/command prompt: ```bash jupyter notebook ``` This opens a new page in your web browser. 3. **Create or open a notebook**: You can create a new notebook by selecting the "New" button, or you can open an existing `.ipynb` file from your directory. ### Working with Notebooks: - **Running Cells**: You can run different cells in the notebook via `Shift + Enter` or the play button in the toolbar. - **Markdown Cells**: You can add formatted text by selecting a cell and changing its type to Markdown. - **Saving**: Notebooks can be saved by clicking on the save icon or using the `Ctrl + S` shortcut. ### Exporting Notebooks: You can export Jupyter notebooks to various formats (like HTML or PDF) from the `File` menu. ### Example content of a .ipynb file: Here's a simplified representation of what an `.ipynb` file structure might look like: ```json { "cells": [ { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "print(\"Hello, World!\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# This is a Markdown cell\n", "You can write **bold** text here." ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.8.5" } }, "nbformat": 4, "nbformat_minor": 4 } ``` ### If you're referring to something else, such as the `.nipyy` file type specifically, please clarify or provide more context!