how to run python code on jupyter notebook
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Title: Getting Started with Jupyter Notebook: A Step-by-Step Tutorial for Running Python Code
Introduction:
Jupyter Notebook is a powerful open-source tool that allows you to create and share documents that contain live code, equations, visualizations, and narrative text. It is widely used for data analysis, machine learning, and scientific research. In this tutorial, we will guide you through the process of running Python code in Jupyter Notebook, covering installation, basic usage, and code execution.
If you haven't installed Jupyter Notebook yet, you can do so using the following steps:
Once Jupyter Notebook is installed, you can launch it by executing the following command in your terminal:
This will open a new tab in your web browser displaying the Jupyter Notebook dashboard.
Before running code, it's important to understand the basic components of the Jupyter Notebook interface:
In a code cell, type a simple Python command, for example:
To execute the code, either click the "Run" button in the toolbar or press Shift + Enter.
You should see the output below the code cell.
You can use Markdown cells to add text and explanations to your notebook. To create a Markdown cell, change the cell type from "Code" to "Markdown" using the dropdown menu in the toolbar.
Example:
Jupyter supports magic commands that provide additional functionality. For example, %matplotlib inline allows you to display plots directly in the notebook.
Congratulations! You've successfully run Python code in a Jupyter Notebook. This tutorial covered the basics of installation, launching Jupyter, creating a notebook, and executing code. Experiment with additional features and explore the rich capabilities of Jupyter Notebook for your Python projects.
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