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The best way to take full advantage of this book is to begin working on an IPython prompt by feeding it code and observing the output. You can use Anaconda IDE to avoid the need to install the required packages for the book. You can use Spyder IDE during an IPython session as well as editor to write multiline files. We suggest that you write detailed descriptive comments wherever needed to enhance understanding of workflow of the given code. This scheme works uniformly across all platforms. In this chapter, we will discuss the various kinds of data in Python and their categorization into several data types.

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© 2018 Sandeep Nagar

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Nagar, S. (2018). Data Types. In: Introduction to Python for Engineers and Scientists. Apress, Berkeley, CA.

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