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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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Toc

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 – assigning values to variables

Assigning values to variables in Python works in a similar way to most programming languages.

  1. For instance, assign the value of 2 to a variable named var as follows:
    >>> var = 2
    >>> var
    2
    
  2. We defined the variable and assigned it a value. In this Python code, the type of the variable is not fixed. We can make the variable in to a list, which is a built-in Python type corresponding to an ordered sequence of values. Assign a list to var as follows:
    >>> var = [2, 'spam', 'eggs']
    >>> var
    [2, 'spam', 'eggs']
    

    We can assign a new value to a list item using its index number (counting starts from 0). Assign a new value to the first list element:

    >>> var
    ['ham', 'spam', 'eggs']
    
  3. We can also swap values easily. Define two variables and swap their values:
    >>> a = 1
    >>> b = 2
    >>> a, b = b, a
    >>> a
    2
    >>> b
    1
    

What just happened?

We assigned values to variables and Python list items. This section is by no means exhaustive; therefore, if you are struggling, please read Appendix B, Additional Online Resources, to find recommended Python tutorials.

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