# Python Programming – NumPy Installation

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## Python Programming – NumPy Installation

Numpy installation

This section discusses the simple installation approaches of NumPy in different operating system.

Windows

By default, NumPy is not shipped with official Python installer. But one can download (from website link: http://sourceforge.net/projects/numpy/files/NumPy/) the executable file of NumPy (recent version 1.8.1) followed by installing it. Before installing NumPy, please make sure that Python is already installed. NumPy is already included in Python(x,y) package, so one does not have to install NumPy separately, if the programmer is using Python(x,y).

Linux

One can install NumPy in Ubuntu (Linux) operating system by executing the following commands in the terminal (as shown in figure 6-1).

sudo apt-get install python-numpy Data types

Some of the data types supported by NumPy are given in table 6-1.

 Data type Description bool_ Boolean (True or False) stored as a byte. intS Byte (ranging from -128 to 127). intl6 Integer (ranging from -32768 to 32767). int32 Integer (ranging from -2147483648 to 2147483647). int64 Integer (ranging from -9223372036854775808 to 9223372036854775807). uint8 Unsigned integer (ranging from 0 to 255). uintl6 Unsigned integer (ranging from 0 to 65535). uint32 Unsigned integer (ranging from 0 to 4294967295). uint64 Unsigned integer (ranging from 0 to 18446744073709551615). float_ Shorthand for float64. floatl6 Half precision float: sign bit, 5 bits exponent, 10 bits mantissa. float32 Single precision float: sign bit, 8 bits exponent, 23 bits mantissa. float64 Double precision float: sign bit, 11 bits exponent, 52 bits mantissa. complex_ Shorthand for complexl28. complex64 Complex number, represented by two 32-bit floats (real and imaginary components). complexl28 Complex number, represented by two 64-bit floats (real and imaginary components).