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In Python’s standard library, what packages would you say are the most useful for data scientists?

in Data Science & Statistics by Platinum (129,800 points) | 232 views

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Python wasn’t built for data science. However, in recent years it has grown to become the go-to programming language for the following:

  • Machine learning
  • Predictive analytics
  • Simple data analytics
  • Statistics

For data science projects, the following packages in the Python standard library will make life easier and accelerate deliveries:

  • NumPy (to process large multidimensional arrays, extensive collections of high-level mathematical functions, and matrices)
  • Pandas (to leverage built-in methods for rapidly combining, filtering, and grouping data)
  • SciPy (to extend NumPy’s capabilities and solve tasks related to integral calculus, linear algebra, and probability theory)
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