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  • Book Overview & Buying IPython Notebook Essentials
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IPython Notebook Essentials

IPython Notebook Essentials

By : Martins
3.7 (3)
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IPython Notebook Essentials

IPython Notebook Essentials

3.7 (3)
By: Martins

Overview of this book

If you are a professional, student, or educator who wants to learn to use IPython Notebook as a tool for technical and scientific computing, visualization, and data analysis, this is the book for you. This book will prove valuable for anyone that needs to do computations in an agile environment.
Table of Contents (10 chapters)
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Basic types, expressions, and variables and their assignment

Any data that can be referred to in a Python code is considered an object. Objects are used to represent everything from atomic data, such as numbers, to very complex data structures, such as multidimensional arrays, database connections, and documents in several formats.

At the root of the object hierarchy are the numeric data types. These include the following:

  • Integers: There are three types of integers in Python.
    • Plain integers: They are represented in the native architecture, which, in most systems, will be either 32- or 64-bit signed values.
    • Long integers: They are integers with unlimited range, subject to available memory. Most of the time, the programmer does not need to be concerned with the distinction between plain and long integers. Python deals with conversions between the types in a transparent way.
    • Booleans: They represent the values False and True. In most situations, they are equivalent to 0 and 1, respectively.
  • Floats...
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IPython Notebook Essentials
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