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pandas benchmarking for efficiency

Collection of benchmarkings on common data wrangling use cases in pandas.

Topics covered in the notebook:

  • Useful magic commands
    • time and timeit
    • prun and lprun
    • memit
  • pandas benchmarking
    • Looping through elements
    • Column assignment
    • Groupby and apply
    • Reduce memory usage
    • Categoricals
      • Less memory usage
      • Better performance
    • String operations
      • Calculate string length (in words)
      • Regex search

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Benchmarking on common use cases in pandas

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