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From Python to NumPy
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  • Title: From Python to NumPy
  • Author(s) Nicolas P. Rougier
  • Publisher: LaBRI (May 2017); eBook (Creative Commons Licensed)
  • License(s): CC BY-NC-SA 4.0
  • Hardcover/Paperback: N/A
  • eBook: HTML
  • Language: English
  • ISBN-10: N/A
  • ISBN-13: N/A
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Book Description

NumPy is one of the most important scientific computing libraries available for Python. This book teaches you how to achieve expert level competency to perform complex operations, with in-depth coverage of advanced concepts.

Beginning with NumPy's arrays and functions, you will familiarize yourself with linear algebra concepts to perform vector and matrix math operations. You will thoroughly understand and practice data processing, exploratory data analysis (EDA), and predictive modeling.

You will then move on to working on practical examples which will teach you how to use NumPy statistics in order to explore US housing data and develop a predictive model using simple and multiple linear regression techniques.

  • Grasp all aspects of numerical computing and understand NumPy
  • Explore examples to learn exploratory data analysis (EDA), regression, and clustering
  • Access NumPy libraries and use performance benchmarking to select the right tool
About the Authors
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