<jupyter_start><jupyter_text>Pandas SeriesSeries :- one-dimensional array of indexed data<jupyter_code>#Create a series 
import pandas as pd
series_1 = pd.Series([1,2,3,4])
# Left column is index and Right column is Data
series_1
series_1.index
series_1.values
series_1[1]
series_1[1:]
series_1[:2]
# Here Index Assign naming to particulr data 
series_2 = pd.Series([1,2,3,4], index=['a','b','c','d'])
series_2
series_2[1]
series_2['b']
#Use Python Dictionary as series Series.
# A dictionary is a structure which maps arbitrary keys to a set of arbitrary values, and a series is a structure which 
# maps typed keys to a set of typed values.
#Create a Python Dictionary
python_dic = {'Nandan':'Big Data','Kundan':'Manager','Chandan':'Businees Man'}
# Assign Dictionary to Series 
people = pd.Series(python_dic)
# Check the Series 
people
#Check type of data object
type(people)
people['Nandan']
people[2]<jupyter_output><empty_output>
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