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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 – deciding with the if statement

We can use the if statement in the following ways:

  1. Check whether a number is negative as follows:
    >>> if 42 < 0:
    ...     print('Negative')
    ... else:
    ...     print('Not negative')
    ...
    Not negative
    

    In the preceding example, Python decided that 42 is not negative. The else clause is optional. The comparison operators are equivalent to the ones in C++, Java, and similar languages.

  2. Python also has a chained branching logic compound statement for multiple tests similar to the switch statement in C++, Java, and other programming languages. Decide whether a number is negative, 0, or positive as follows:
    >>> a = -42
    >>> if a < 0:
    ...     print('Negative')
    ... elif a == 0:
    ...     print('Zero')
    ... else:
    ...     print('Positive')
    ...
    Negative
    

    This time, Python decided that 42 is negative.

What just happened?

We learned how to do branching logic in Python.

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