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Writing Efficient Python Code

Logan Thomas

Scientific Software Technical Trainer, Enthought

What you have learned

  • The definition of efficient and Pythonic code
  • How to use Python's powerful built-in library
  • The advantages of NumPy arrays
  • Some handy magic commands to profile code
  • How to deploy efficient solutions with zip(), itertools, collections, and set theory
  • The cost of looping and how to eliminate loops
  • Best practices for iterating with pandas DataFrames
Writing Efficient Python Code

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Writing Efficient Python Code

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