Python<\/a> alternative to Matlab is now seen as a modern and also complete programming language.<\/p>\n\n\n\nPython distribution will come bundled with the NumPy module. NumPy can also be installed using its lighter version – a popular python package installer pip.<\/p>\n\n\n\n
pip install NumPy:<\/h2>\n\n\n\n We have the best way to enable NumPy. Install binary packages to the operating system. These binaries will contain full scipy stack.<\/p>\n\n\n\n
Windows<\/p>\n\n\n\n
Python(x,y) is a free python distribution with scipy stack and spyder IDE for windows OS.<\/p>\n\n\n\n
Linux<\/p>\n\n\n\n
Package managers of respective Linux distributors which will be used to install one or more packages in scipy stack.<\/p>\n\n\n\n
For Ubuntu<\/p>\n\n\n\n
sudo apt-get install python-numpy <\/p>\n\n\n\n
python-scipy python-matplotlib ipython ipython notebook python-pandas <\/p>\n\n\n\n
python-sympy python-nose<\/p>\n\n\n\n
How to install NumPy?<\/strong><\/p>\n\n\n\nThe core python will be installed with distutils and the Zlib module should be enabled.GNU gcc C compiler must be available.<\/p>\n\n\n\n
To install NumPy we have to run the following command<\/p>\n\n\n\n
Python setup.py install<\/p>\n\n\n\n
To test whether the NumPy module is properly installed we try to import it with a python prompt.<\/p>\n\n\n\n
import numPy<\/p>\n\n\n\n
NumPy packages will be imported by the syntax import numPy as np<\/p>\n\n\n\n
NumPy-Ndarray object:<\/h2>\n\n\n\n The most important object that will be defined in NumPy is an N-dimensional array type that will be called ndarray. It will describe the collection of items of the same type. Items in the collection can be accessed using zero-based index. Any item extracted from ndarray object that is represented by the python object is one of the scalar types.<\/p>\n\n\n\nAn instance of ndarray class will be built by different array creation routines. The most fundamental ndarray will be developed by using an array function in the NumPy that follows as<\/p>\n\n\n\n
numpy.array <\/p>\n\n\n\n
It will develop an ndarray from any object exposing an array interface, or any method that will return an array.<\/p>\n\n\n\n
There are many constructors which will take the parameters:<\/p>\n\n\n\n
\nObject- Any object exposing the array interface method returns an array or any sequence.<\/li>\n\n\n\n dtype- That is desired data type of array<\/li>\n\n\n\n copy- By default the object will be copied.<\/li>\n\n\n\n order- C or F column or A<\/li>\n\n\n\n subok- That returned array is forced to be a base class array. Through, sub-classes passed through.<\/li>\n\n\n\n ndadmin- It specifies minimum dimensions of the resultant array.<\/li>\n<\/ul>\n\n\n\nExample:<\/p>\n\n\n\n
import numpy as np <\/p>\n\n\n\n
a = np.array([2,3,5]) <\/p>\n\n\n\n
print a<\/p>\n\n\n\n
Output<\/p>\n\n\n\n
[2,3,5]<\/p>\n\n\n\n
The ndarray object consists of a contiguous one-dimensional segment of computer memory, integrated with an indexing scheme that maps each item to a location in the memory block.<\/p>\n\n\n\n
Numpy data types:<\/h2>\n\n\n\n
![\"Ndarray\"](\"https:\/\/lh5.googleusercontent.com\/FYPXpLP1kcUw6133MV2JF-JgjNpqfQ8rS3m81csosaaKYSRD7amaHPfrAk-YZwLa9uiE_T9NMBT5x001CXL2tIf7xXJg1k7ZN4LZ1XNvPeIeggLBoXvO6bvyuRyotjoF9jZ6J6wE_dUG39s3K1Vbhw\" "\\"\\"")
<\/figure>\n\n\n\n