Jupyter notebook is a web-based interactive computing environment, which is widely used in data science, machine Xi, scientific computing, and other fields. Its powerful features allow users to mix and match content such as text, images, and more, and see the results of their execution in real time. Here's a detailed look at how to run it in a jupyter notebook, as well as some tips and tricks for using it.
Install the jupyter notebook instanceFirst, make sure you have Python installed on your computer. Then, install the Jupyter notebook via pip (Python's package manager). Enter the following command on the command line:
Copy pip install jupyterStart the jupyter notebookAfter the installation is complete, enter the following command on the command line to start the jupyter notebook:
Copy the jupyter notebookThis will open a new window or tab in your default web browser, showing the Jupyter Notebook user interface.
Create a notebook instanceIn the Jupyter Notebook user interface, click the "new" button in the upper right corner and select the programming language you want to use (usually Python 3), which will create a new notebook file.
Open an existing notebook instance: If you have a notebook file that you have saved before, you can click on the file in the file browser to open it.
Written**: In the new notebook file, you will see a blank cell. Here, you can enter any valid python**. For example, you can enter a simple number:
python copy **2+2Run**: After typing, press Shift+Enter or click the Run button on the toolbar to execute the ** in the current cell. The execution result will be displayed below the cell.
Add a new cell: If you want to add more ** or text, you can click the "+" button on the toolbar to add a new cell. You can continue writing and running in a new cell.
Save the notebook instance: As you write and run, remember to save your work regularly. You can click the "Save" button on the toolbar to save the notebook file.
Use markdownIn addition to the ** cells, Jupyter notebooks also support markdown cells for adding formatted text and comments. In markdown cells, you can use markdown syntax to format text, add links, and so on.
Rich text editing: You can also use the rich text editing feature to enhance the expressiveness of your notebook. For example, you can add things like titles, lists, images, and HTML.
Share a notebook instance: Jupyter notebook allows you to share your work with others. You can save the notebook file as HTML, PDF, or slideshow, or upload the file directly to a sharing platform such as GitHub.
Export the notebook instanceIf you want to export your work to other formats, such as Python scripts or markdown files, you can click on the "** For" option in the "File" menu to select the format you want.
In summary, Jupyter notebooks provide a powerful and flexible environment for interactive programming and data visualization.
By becoming proficient in its functions and shortcuts, you will be able to perform data analysis and scientific computing work more efficiently.