How can I improve the performance of my Jupyter Notebook?
There are several ways to enhance the performance of your Jupyter Notebook. You can try optimizing your code, reducing the size of your datasets, or using more efficient libraries.
What specific code optimizations can I make?
You can look into vectorizing your operations with NumPy, using list comprehensions instead of loops, and avoiding global variables.
Are there any tools to help me analyze performance?
Yes, you can use tools like line_profiler, memory_profiler, and the built-in Jupyter Notebook magic commands like %timeit to analyze performance.
What about hardware upgrades?
Upgrading your RAM, using an SSD instead of an HDD, or even utilizing cloud computing resources can significantly improve performance.
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