Скачать или смотреть jupyter notebook execute python script

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Jupyter Notebooks provide an interactive computing environment that allows you to create and share documents that contain live code, equations, visualizations, and narrative text. One of the powerful features of Jupyter Notebooks is the ability to execute Python scripts within the notebook cells. In this tutorial, we'll explore how to execute Python scripts in Jupyter Notebooks, and we'll provide code examples to illustrate the process.
Before we begin, make sure you have the following installed:
Jupyter Notebooks: You can install Jupyter using Anaconda or pip. If you don't have it installed, you can use the following command:
Python: Ensure you have a working Python installation. Jupyter Notebooks support both Python 2 and Python 3, but it's recommended to use Python 3 for new projects.
Open a terminal and navigate to the directory where you want to create or open your Jupyter Notebook. Then, run the following command:
This will open Jupyter in your default web browser.
Click on the "New" button and select "Python 3" (or "Python 2" if you prefer) to create a new notebook. Alternatively, you can open an existing notebook.
In the notebook, create a new code cell by clicking on the "+" button or using the keyboard shortcut B. Code cells are where you can write and execute your Python scripts.
In the code cell, write your Python script. For example:
To execute the code cell, click the "Run" button or use the keyboard shortcut Shift + Enter. You should see the output below the cell.
If your Python script is in an external file (e.g., example_script.py), you can execute it in the notebook using the %run magic command:
This will execute the contents of the specified Python script in the notebook.
Congratulations! You've learned how to execute Python scripts in Jupyter Notebooks. This feature makes Jupyter a versatile tool for data analysis, machine learning, and interactive coding. Experiment with different Python scripts and explore the rich capabilities of Jupyter Notebooks for your projects.
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