How can I improve the performance of my Jupyter notebooks?
There are several ways to enhance the performance of Jupyter notebooks. You can optimize your code, use efficient libraries, and manage memory usage.
What specific code optimizations do you recommend?
You can use vectorized operations with libraries like NumPy and Pandas, avoid loops when possible, and leverage built-in functions.
Are there any settings I should adjust in Jupyter?
Yes, consider increasing the memory limit in your Jupyter configuration and disabling unnecessary extensions that may slow down performance.
What about using Jupyter with large datasets?
For large datasets, try using Dask or Vaex for out-of-core computation, and ensure you're only loading the data you need.
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