How can I improve the performance of my Python imports?
You can improve Python import performance by using techniques like lazy loading, optimizing your import statements, and using built-in modules.
What is lazy loading and how does it help?
Lazy loading means importing modules only when they are needed, which can reduce startup time and memory usage.
Are there specific modules that are slower to import?
Yes, some modules, especially large libraries like NumPy or Pandas, can take longer to import. Consider importing only what you need.
Can I measure the import time of my modules?
Yes, you can use the time
module or the timeit
module to measure how long your imports take.
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