Dataframe in Python Pandas | Class 12 IP (ONE SHOT) | CBSE 2025-26 | Rohit Singh

Dive into the complete chapter “Data Handling using Pandas – I (DataFrame)”, designed especially for CBSE Class 12 Informatics Practices (IP) students (2025–26 syllabus). In this session, you’ll create, modify, and analyse data using Pandas DataFrames — the most powerful data structure in Python, essential for data analysis and board exams. Every concept is taught step-by-step with clarity, code, and board-oriented examples. 📘 What You’ll Learn 🔹 What is a DataFrame and why it’s important 🔹 Creating DataFrames from Dictionary, List, and Series 🔹 Accessing Data using loc[], iloc[], at, and iat 🔹 Boolean Indexing & Conditional Filtering 🔹 Adding, Deleting, and Renaming Rows & Columns 🔹 Sorting & Modifying Data in DataFrames 🔹 DataFrame Attributes & Methods (head(), tail(), etc.) 🔹 Importing & Exporting Data with CSV (read_csv(), to_csv()) 🔹 Practice Questions + Exam-focused Concepts 💡 Who Should Watch ✔️ Class 12 IP & CS students (CBSE 2025–26) ✔️ BCA, MCA, B.Tech, M.Tech learners mastering Python for data handling ✔️ Students preparing for boards, practicals, or viva 👨‍🏫 Instructor Rohit Singh PGT Computer Science | 10+ Years of Teaching Experience 🖥️ Computer Science | 💡 Informatics Practices | 🤖 Artificial Intelligence 📘 Notes: https://drive.google.com/file/d/1lyTV... 💬 Join CBSE Class 11–12 WhatsApp Group: https://chat.whatsapp.com/LW4dBrAHIaG... 📍 Offline Classes: Sant Nagar & Hudson Lane 📞 Coaching Enquiries: 8800873871 ⏱️ Timestamps – Jump to Any Topic (Python Pandas DataFrame | Class 12 IP | CBSE Data Handling using Pandas) Part A – Introduction to DataFrame 00:00 – Introduction 00:38 – What is a DataFrame? 02:09 – Creating an Empty DataFrame 03:13 – Creating a DataFrame using Dictionary 06:04 – Retrieving a Single Column 08:36 – Retrieving Multiple Columns 10:23 – Arithmetic & Relational Operations Part B – Accessing Data in a DataFrame 19:38 – Accessing Single Values using at and iat 23:20 – Accessing Multiple Values using loc and iloc 32:40 – Boolean Indexing Part C – Modifying DataFrame 33:35 – Adding & Modifying Rows 35:28 – Adding & Modifying Columns 37:24 – Using insert() Function 38:47 – Deleting Rows & Columns (drop(), pop(), del) 43:48 – Renaming Row and Column Labels 46:49 – Sorting Data in a DataFrame Part D – Attributes & Methods 47:51 – DataFrame Attributes 52:02 – Methods: head(), tail(), count() Part E – Working with CSV Files 53:33 – Importing CSV (read_csv()) 57:40 – Exporting DataFrames (to_csv()) Outro 59:44 – Thank You & Subscribe Reminder