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Numpy Beginner's Guide (Update)

You're reading from   Numpy Beginner's Guide (Update) Build efficient, high-speed programs using the high-performance NumPy mathematical library

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Product type Paperback
Published in Jun 2015
Publisher
ISBN-13 9781785281969
Length 348 pages
Edition 1st Edition
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Author (1):
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Ivan Idris Ivan Idris
Author Profile Icon Ivan Idris
Ivan Idris
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Table of Contents (16) Chapters Close

Preface 1. NumPy Quick Start FREE CHAPTER 2. Beginning with NumPy Fundamentals 3. Getting Familiar with Commonly Used Functions 4. Convenience Functions for Your Convenience 5. Working with Matrices and ufuncs 6. Moving Further with NumPy Modules 7. Peeking into Special Routines 8. Assuring Quality with Testing 9. Plotting with matplotlib 10. When NumPy Is Not Enough – SciPy and Beyond 11. Playing with Pygame A. Pop Quiz Answers B. Additional Online Resources C. NumPy Functions' References
Index

Time for action – using Python as a calculator

We can use Python as a calculator as follows:

  1. In a Python shell, add 2 and 2 as follows:
    >>> 2 + 2
    4
    
  2. Multiply 2 and 2 as follows:
    >>> 2 * 2
    4
    
  3. Divide 2 and 2 as follows:
    >>> 2/2
    1
    
  4. If you have programmed before, you probably know that dividing is a bit tricky since there are different types of dividing. For a calculator, the result is usually adequate, but the following division may not be what you were expecting:
    >>> 3/2
    1
    

    We will discuss what this result is about in several later chapters of this book. Take the cube of 2 as follows:

    >>> 2 ** 3
    8
    

What just happened?

We used the Python shell as a calculator and performed addition, multiplication, division, and exponentiation.

You have been reading a chapter from
Numpy Beginner's Guide (Update)
Published in: Jun 2015
Publisher:
ISBN-13: 9781785281969
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