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: https://youtu.be/qAOA49SSdg0.
FULL Syllabus ONE SHOT - https://youtu.be/hgfpK9t57Kc
Last Minute Revision - https://youtu.be/wIJvMKP4QnA

ROBOTICS Competency QA - https://youtu.be/x_Gf88RnaXs
AI Expected QA - https://youtu.be/Sb_0jo5yOAc

Specimen Paper 1 with Solutions - https://youtu.be/8m02GDPEWx4
Specimen Paper 2 with Solutions - https://youtu.be/vHlTbVlu2RI

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

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