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Title: Troubleshooting Python Code Not Running in Jupyter Notebook
Introduction:
Jupyter Notebooks are a popular interactive computing environment for Python that allows users to create and share documents containing live code, equations, visualizations, and narrative text. However, encountering issues where Python code does not run as expected in a Jupyter Notebook is not uncommon. This tutorial will guide you through common reasons why code might not be running and provide solutions with illustrative examples.
Cell Execution Order:
One common mistake is not running the cells in the correct order, especially when there are dependencies between cells. Make sure to execute cells from top to bottom. If you skip a cell or execute them out of order, it might lead to unexpected errors.
Make sure to run Cell 1 before running Cell 2.
Kernel Restart:
Sometimes, the Python kernel may become stuck or encounter issues. Restarting the kernel can resolve this.
Missing Dependencies:
Ensure that all necessary libraries and modules are installed in your Jupyter Notebook environment. Use the following example to install a missing library:
Syntax Errors:
Check for syntax errors in your code. Even a minor mistake can prevent the entire cell or subsequent cells from running.
Correct the syntax error before proceeding.
Cell Type:
Verify that the cell type is set correctly. Markdown cells cannot execute code, and code cells should contain valid Python code.
Change the cell type to "Code" if you intend to run Python code.
Long-Running Code:
Code that takes a significant amount of time to execute might appear as if it's not running. Monitor the kernel status indicator to ensure it is still running.
Be patient and wait for the code to finish executing.
Conclusion:
By following these troubleshooting steps and examples, you should be able to identify and resolve issues that prevent Python code from running in Jupyter Notebooks. Remember to carefully review your code, check for dependencies, and ensure proper cell execution order. If problems persist, consult the error messages provided by Jupyter to get more specific information about the issue.
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