example the following is an example of creating series from ndarray by using pandasin [ ]import pandas as pd in [ ]import numpy as np in [ ]data np array([' ',' ',' ',' ',' ',' ']in [ ] pd series(datain [ ]print ( dtypeobject for more detailed study of pandas you can go to the link scikit-learn another useful and most important python library for data science and machine learning in python is scikit-learn the following are some features of scikit-learn that makes it so usefulit is built on numpyscipyand matplotlib it is an open source and can be reused under bsd license it is accessible to everybody and can be reused in various contexts wide range of machine learning algorithms covering major areas of ml like classificationclusteringregressiondimensionality reductionmodel selection etc can be implemented with the help of it installation and execution if you are using anaconda distributionthen no need to install scikit-learn separately as it is already installed with it you just need to use the package into your python script for examplewith following line of script we are importing dataset of breast cancer patients from scikit-learn