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Writing Efficient Python Code

Intermediate
4.8+
493 reviews
Updated 04/2025
Learn to write efficient code that executes quickly and allocates resources skillfully to avoid unnecessary overhead.
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PythonProgramming4 hours15 videos52 Exercises4,000 XP135,193Statement of Accomplishment

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Course Description

As a Data Scientist, the majority of your time should be spent gleaning actionable insights from data -- not waiting for your code to finish running. Writing efficient Python code can help reduce runtime and save computational resources, ultimately freeing you up to do the things you love as a Data Scientist. In this course, you'll learn how to use Python's built-in data structures, functions, and modules to write cleaner, faster, and more efficient code. We'll explore how to time and profile code in order to find bottlenecks. Then, you'll practice eliminating these bottlenecks, and other bad design patterns, using Python's Standard Library, NumPy, and pandas. After completing this course, you'll have the necessary tools to start writing efficient Python code!

Prerequisites

Data Types in PythonPython Toolbox
1

Foundations for efficiencies

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2

Timing and profiling code

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3

Gaining efficiencies

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4

Basic pandas optimizations

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Writing Efficient Python Code
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*4.8
from 493 reviews
83%
16%
0%
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0%
  • Timothee
    about 19 hours

  • Sungmin
    about 19 hours

    So fun and so focused !

  • Michael
    1 day

  • Shoaib
    1 day

  • Daniel
    1 day

  • Mrityunjay
    about 15 hours

Timothee

"So fun and so focused !"

Sungmin

Michael

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