• Python 3
Reading time
  • Approximately 25 days
What you will learn
  • Numerical Programming and Data Mining
  • Graphics and Computer Vision
  • Juan Nunez-Iglesias
  • 2 years, 2 months ago
Packages you will be introduced to
  • numpy
  • scipy
  • matplotlib
  • pandas
Book cover of Elegant SciPy: The Art of Scientific Python by Juan Nunez-Iglesias

Official description

Welcome to Scientific Python and its community! With this practical book, you'll learn the fundamental parts of SciPy and related libraries, and get a taste of beautiful, easy-to-read code that you can use in practice. More and more scientists are programming, and the SciPy library is here to help.

Finding useful functions and using them correctly, efficiently, and in easily readable code are two very different things. You'll learn by example with some of the best code available, selected to cover a wide range of SciPy and related libraries—including scikit-learn, scikit-image, toolz, and pandas.

The examples highlight clever, elegant uses of advanced features of NumPy, SciPy, and related libraries. Beginners will learn not the functionality of the library, but its application to real world problems. This book starts from first principles and provides all of the necessary background to understand each example, including idioms, libraries, and scientific concepts.


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