Python – Numpy introduction

numpy:

• Python is dynamic programming language.
• Python doesn’t support arrays.
• Python is a general purpose programming language to develop application.
• ‘numpy’ is a module.
• numpy and pandas modules make the python become an important platform in Data analysis.

Arrays:

• Array is static(fixed size)
• To process the information efficiently we use arrays in any programming languages(one dimensional, two dimensional and multi dimensional)

Notes:

• ‘numpy’ module not coming with python software like other modules….
• Third party modules need to install using pip.

pip:

• Python packages installer.
• It is a program
• We need to download and install PIP first.
• Download the file get-pip.py
• Run the file from your system (data connection mandatory).
  • cmd/>  python  get-pip.py
• collect the pip software through data connection and install

Installing other modules using pip:

            cmd/>  pip install <module-name>

Working with numpy module:

• We can construct Numpy array from list.
• We create list object initially and passing that object as an input to numpy array.

import numpy
my_list = [10,20,30,40,50]
arr = numpy.array(my_list)
print("Array is :",arr)

We can import modules with alias names:

• alias name is a duplicate name given to ‘module’
• we cannot use original name in that program once alias name is assigned.

import numpy as np
arr = np.array([10,20,30,40,50])
print(arr)