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Jupyter Notebooks provide an interactive and versatile environment for running Python code, visualizing data, and documenting your work. In this tutorial, we will explore the basics of using Jupyter Notebooks as a Python online compiler. We'll cover the following topics:
Let's get started!
If you don't have Jupyter Notebooks installed, you can install it using the following command:
After installation, you can start Jupyter Notebooks by running:
This will open the Jupyter Notebook interface in your default web browser.
The Jupyter Notebook interface is organized into cells. There are two main types of cells: code cells and markdown cells.
Let's create a simple Python code cell. Click on the "+" button in the toolbar, then select "Code" from the dropdown menu.
To execute the code, click the "Run" button or use the shortcut Shift + Enter.
You can add documentation using Markdown cells. Create a new cell, select "Markdown" from the dropdown menu, and enter:
Run the cell to see the formatted text.
Jupyter Notebooks allow you to run code in a step-by-step manner. Variables and their values are retained between cells.
Run each cell in order to see the result.
To save your work, click the "Save" button. You can also download your notebook in various formats, including HTML, PDF, and more, by selecting "File" - "Download as" in the menu.
Congratulations! You've learned the basics of using Jupyter Notebooks as a Python online compiler. This tool is invaluable for data analysis, machine learning, and collaborative coding. Explore additional features and functionalities to enhance your coding experience.
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