Unit -1 -Python Pandas – I | Part 2| Informatics Practices | Sumita Arora | Class 12| NCERT Syllabus
This video explains the basics of Pandas, which is a Python library for data analysis and manipulation, and is part of the Class 12 Informatics Practices NCERT syllabus (following Sumita Arora’s textbook).
00:00 - Introduction to Pandas Series
00:35 - What is a Series in Pandas?
01:10 - Creating an Empty Series
01:45 - Creating a Non-Empty Series with Data and Index
02:30 - Using Python Sequences to Create Series
03:10 - Using NumPy Arrays to Create Series
03:50 - Creating Series from a Python Dictionary
04:40 - How Dictionary Keys and Values Become Index and Data
05:20 - Recap: Different Ways to Create Pandas Series
06:00 - Example 1: Series from List (Sumita Textbook)
06:40 - Example 2: Another Series from List
07:20 - Summary and What’s Next
In this tutorial, we'll explore how to create a Series data structure using the Pandas library in Python. Whether you're a beginner or refreshing your data science basics, this video walks you through various ways to initialize a Pandas Series.
📌 What You'll Learn:
How to create an empty Series
Creating a Series with data and index
Using Python sequences (lists)
Creating Series with NumPy arrays
Using Python dictionaries to create Series
We'll walk through examples from the Sumita Arora Python textbook and explain how Pandas assigns default indexes when none are provided.
🔍 Key Concepts Covered:
Pandas Series class
Data types accepted by Series
Default and custom indexing
Integration with NumPy and dictionaries
📘 Textbook Reference:Examples from the Sumita Arora Python textbook (CBSE syllabus)
🧪 Sample Code Used:
import pandas as pd
Example 1: Series from a list
s1 = pd.Series([4, 6, 8, 10])
print(s1)
Example 2: Series from a dictionary
s2 = pd.Series({'Jan': 31, 'Feb': 28, 'Mar': 31})
print(s2)
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