Welcome to S4SUREN! In this video series tailored specifically for Class 12 Informatics Practices, we'll be diving into Chapter 1 of the CBSE/NCERT Sumita Arora book, published by Dhanpat Rai. Our focus will be on Python Pandas, a powerful library essential for data manipulation and analysis.

What You’ll Learn:

Introduction to Pandas:

Understand the role and importance of the Pandas library in Python.
Explore why Pandas is a go-to tool for data analysis.
Series vs DataFrame:

Get to grips with the two fundamental data structures in Pandas: Series and DataFrame.
Learn the differences and use cases for each.
Series Data Structure:

Dive deep into the Series object.
Learn how to create and manipulate Series with practical examples.
Explore additional functionalities, attributes, and operations on Series objects.

Discover how to modify elements, rename indexes, and use methods like head() and tail().

Vector Operations and Arithmetic:

Perform vectorized operations and arithmetic with Series objects.
Filter, sort, and re-index Series data efficiently.
Comparisons:

Compare Series with Lists, Dictionaries, and 1D NumPy Arrays to understand their unique features and advantages.
DataFrame Data Structure:

Uncover the characteristics of DataFrames and how they differ from Series.
Learn how to create, display, and access data from DataFrames.
Explore DataFrame attributes and practical applications.
Each video will break down these topics into easy-to-understand segments, complete with practical examples to help solidify your understanding. Whether you're preparing for exams or looking to enhance your data analysis skills, S4SUREN has got you covered!

Class 12 Informatics Practices
CBSE NCERT Sumita Arora
Chapter 1 Python Pandas
Introduction to Pandas
Series vs DataFrame
Why Pandas?
Series Data Structure
Creating Series Object
Additional Functionality of Series
Series Object Attributes
Operations on Series
Modifying Elements of Series
Renaming Series Indexes
head() and tail() Functions
Vector Operations on Series
Arithmetic on Series Objects
Filtering Entries in Series
Sorting Series Values
Re-indexing Series
Dropping Entries from Series
Series vs Lists
Series vs Dictionaries
Series vs 1D NumPy Arrays
DataFrame Data Structure
Characteristics of DataFrame
Creating DataFrame
Displaying DataFrame
DataFrame Attributes
DataFrame vs Series
DataFrame vs 2D Ndarray
Selecting Data from DataFrame
Practical Pandas Examples


Let's dive into Python Pandas and make data analysis fun and engaging!



👍 Like, Share, and Subscribe!
If you found this video helpful, please give it a thumbs up, share it with your classmates and friends, and subscribe to our channel for more insightful content.

📝 Follow Us:

❤ Subscribe-
[ Ссылка ]...

❤ F𝗮𝗰𝗲𝗯𝗼𝗼𝗸-
Facebook link: / s4suren

❤ Instagram-
/ s4suren1

❤𝘌𝘮𝘢𝘪𝘭-
✉ mailtos4suren@gmail.com

𝘾𝙤𝙣𝙩𝙖𝙘𝙩 𝙉𝙪𝙢𝙗𝙚𝙧
❤ ✆ :+91 - 7610811422
Thank You from S4SUREN 🙏 🙏 🙏 🙏


📧 Contact Us:
For any queries or suggestions, feel free to email us at mailtos4suren@gmail.com.

Thank you for watching and happy studying! 😊


#Pandas #CBSEClass12 #NCERT #PythonProgramming #EducationalVideo #s4suren #12IP
#XIIIP


#class12ip
#CBSE
#NCERT

свернуть