ICSE Class 10 Robotics & AI: 10 MUST-KNOW Python Programs (Set 2) | LMR, PYQ & Case Study Board 2026 скачать в хорошем качестве

ICSE Class 10 Robotics & AI: 10 MUST-KNOW Python Programs (Set 2) | LMR, PYQ & Case Study Board 2026

Level up your Python skills for the ICSE Class 10 Robotics & Artificial Intelligence (2026) board exams! 🚀 This is Set 2 of our "Expected Competency Questions" series, featuring 10 brand-new, high-probability Python programs that are completely different from Set 1. We've analyzed the last 3 years of Previous Year Questions (PYQs) and the latest specimen papers to bring you the most relevant practice for Section A and Section B. "Don't forget to watch Set 1 here:    • ICSE Class 10 Robotics & AI: Top 10 Python...  . FULL Syllabus ONE SHOT -    • ICSE Class 10 Robotics & AI | Full Syllabu...   Last Minute Revision -    • ICSE Class 10 Robotics & AI: Last Minute R...   ROBOTICS Competency QA -    • ICSE Class 10 Robotics & AI Case Study & C...   AI Expected QA -    • ICSE Class 10 Robotics & AI: 25 MUST-KNOW ...   Specimen Paper 1 with Solutions -    • Specimen Question Paper 1 for ICSE Class 1...   Specimen Paper 2 with Solutions -    • Specimen Paper 2 for ICSE Class 10 Robotic...   What You'll Master in This Video: ✅ Output Tracing: Handling negative indexing and list slicing with precision [02:12]. ✅ Error Detection: Identifying and correcting syntax, type, and name errors (Line-by-line method) [03:37]. ✅ Advanced Libraries: Comprehensive walkthroughs of OpenCV (BGR format, grey-scaling) [15:30] and Pandas (DataFrames, .describe()) [13:51]. ✅ Data Visualization: Drawing Pie Charts and Scatter Plots using Matplotlib with proper labeling [07:39]. ✅ NumPy Matrices: Creating 1D arrays and reshaping them into 3x3 2D matrices [11:00]. ✅ Mixed Concepts: A "Final Boss" program combining Lists, Functions, and Bar Charts [18:07]. Expert Board Exam Tips: Learn why you must always provide an Explanation alongside your output to get full marks. Understand the common "Unpacking Trap" when returning multiple values from a function [23:13]. Why OpenCV uses BGR instead of RGB [22:37]. Pro Tip: Watch Set 1 before starting this video for a full syllabus coverage! Subscribe to Prof. Analysis for the ultimate ICSE 2026 exam preparation and revision tables! 🔔 🕒 Timestamps [00:00] Intro: Python Expected Competency Questions (Set 2) [01:33] Summary Table: 10 Questions & Why they are important [02:12] Q1: Output Tracing (List Slicing & Negative Indexing) [03:37] Q2: Error Detection & Correction (Line-by-line model) [05:41] Q3: While Loop (Finding Factors of a Number) [07:39] Q4: Matplotlib (Pie Chart of Programming Languages) [09:03] Q5: Matplotlib (Scatter Plot - Hours vs. Marks) [11:00] Q6: NumPy (Reshaping 1D to 3x3 Matrix) [13:51] Q7: Pandas (DataFrames & Summary Statistics) [15:30] Q8: OpenCV (Image Reading & Gray-scale Conversion) [17:12] Q9: Python Dictionaries (Student Marks & High Scorer) [18:07] Q10: Mixed Concept (Functions + Lists + Bar Charts) [21:14] Master Revision Table: Set 1 vs. Set 2 Coverage [21:25] Top 7 Board Exam Tips for Python Programs [23:42] Conclusion: Final Best Wishes for 2026 Boards #ICSE2026 #RoboticsAndAI #LastMinuteRevision #Class10BoardExam #PythonProgramming #profanalysis #OpenCV #Pandas #Matplotlib