Question:
Today, I opened my computer to prepare to use jupyter, double-clicked and then the command window opened and flashed back, and I could not use the software properly and reported an error:
C:\Users\***>jupyter notebook --generate-config Traceback (most recent call last): File "D:\LeStoreDownload\Anaconda\Anaconda\Scripts\", line 6, in <module> from import main File "D:\LeStoreDownload\Anaconda\Anaconda\lib\site-packages\notebook\", line 41, in <module> from jinja2 import Environment, FileSystemLoader File "D:\LeStoreDownload\Anaconda\Anaconda\lib\site-packages\jinja2\__init__.py", line 33, in <module> from import Environment, Template File "D:\LeStoreDownload\Anaconda\Anaconda\lib\site-packages\jinja2\", line 15, in <module> from jinja2 import nodes File "D:\LeStoreDownload\Anaconda\Anaconda\lib\site- packages\jinja2\", line 19, in <module> from import Markup File "D:\LeStoreDownload\Anaconda\Anaconda\lib\site-packages\jinja2\", line 642, in <module> from markupsafe import Markup, escape, soft_unicode ImportError: cannot import name 'soft_unicode' from 'markupsafe' (D:\LeStoreDownload\Anaconda\Anaconda\lib\site- packages\markupsafe\__init__.py)
This error may be caused by a problem with one of the Jupyter Notebook's dependent libraries. In particular, errors related to Jinja2 and MarkupSafe may have occurred when trying to generate a configuration file.
In order to solve this problem, you can try the following steps: (solution given by chatgpt)
1. Update the Jinja2 and MarkupSafe libraries: Run the following commands from the command line to update the two libraries:
pip install --upgrade Jinja2 MarkupSafe
2. Uninstall and reinstall Jupyter Notebook: Run the following command at the command line to uninstall Jupyter Notebook:
pip uninstall jupyter notebook
Then reinstall Jupyter Notebook:
pip install jupyter notebook
3. Check the Python environment: Make sure you are using the correct Python environment and that there are no other libraries that conflict with Jupyter Notebook's dependencies.
If the above steps still don't solve the problem, you may want to consider updating or reinstalling Anaconda (or any other distribution you're using) to ensure that all dependent libraries are up to date and compatible.
Also, if you have made any changes to your computer before running Jupyter Notebook (e.g., installing new software, updating the operating system, etc.), these changes may also cause problems. In this case, you can try using a backup that did not cause problems before or restoring your computer to a more stable state.
Uninstallation:
Open cmd
Copy the following command and enter
pip uninstall jupyter -y pip uninstall jupyter_core -y pip uninstall jupyter-client -y pip uninstall jupyter-console -y pip uninstall notebook -y pip uninstall qtconsole -y pip uninstall nbconvert -y pip uninstall nbformat -y
To uninstall jupyter notebook locally
mounting
Jupyter Notebook (Jupyter for short) is an interactive editor that supports running more than 40 programming languages and facilitates the creation and sharing of documents.Jupyter is essentially a web application, and compared with other editors, it has the advantages of compactness, flexibility, support for real-time code, and ease of graphical presentation. The following are respectively for you to demonstrate how to install and use Jupyter.
1. Install Jupyter
Jupyter can be easily installed using the pip utility. pip utility is a package management tool for Python, which comes with the Python 3.4+ interpreter. Open a Windows command prompt window and use the pip command to install Jupyter as follows.
pip install jupyter notebook
After the above commands are executed, if the following message is output in the command prompt window, it means that Jupyter is successfully installed.
Inatalling collected packages: jupyter Successfully installed jupyter-1.0.0
Or go to Anaconda to download
2. Use Jupyter
Type "jupyter notebook" in a command prompt window, and Jupyter will start in the default browser. Take the EApython directory as an example, open a command prompt window in that directory, type in the Jupyter startup command and execute it, and the main interface of Jupyter will be displayed in the browser as shown in the figure.
It is worth mentioning that the files displayed in the main interface of Jupyter will be saved to the E:\python directory by default. Click "New" at the top right of the file list in Figure 1-6, and select "Python 3" in the drop-down list to create a Python file directly.
After creating the Python file, Jupyter opens a new page in the browser.
page "Untitled" is the file name; file name is below the menu bar, to provide save, open, new file and other functions; menu bar below the toolbar, to provide run, cut, paste and other code operations related functions.
Enter the following code in the text box after "In[ ]:" on the screen shown above.
print('hollo world!')Click the "Run" button on top of the text box, the result of the code will be output directly below the text box.
Use the key combination Ctrl+S (or change the filename of the file page) to save the code edited in the current page and the results of the code in a file with the extension .ipynb. The saved file will appear in the file list of the main interface of Jupyter, and you can open and continue to use it in the browser by clicking on the file in the list.
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