How can I use line profiler to optimize my Python code?
You can use line profiler by installing it via pip and then decorating the functions you want to profile with @profile.
What kind of information does line profiler provide?
Line profiler provides detailed timing information for each line of code in the decorated functions, helping identify bottlenecks.
Can I use line profiler with Jupyter notebooks?
Yes, you can use line profiler in Jupyter notebooks by loading the extension and using the %lprun magic command.
Are there any alternatives to line profiler?
Yes, alternatives include cProfile, Py-Spy, and memory_profiler, each with its own features for profiling.
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