JoyofComputing

NPTEL Joy of Computing — Week 9 Study Guide NPTEL WEEK 09 Overview Monte Carlo & Images Stylometry Networks Monty Hall Quick Revision Quiz The Joy of Computing · Exam prep Computational Thinking in Action A high-yield, interactive Week 9 study guide: understand the core ideas, memorize the Python patterns, revise the formulas, and test yourself with 10 exam-style MCQs. 4 modules Code references Searchable flashcards 10-question quiz Your revision route Learn → Recall → Test Read the module summaries, use the quick-reference tables, then complete the quiz. Your quiz progress and score update instantly in this page. Week 9 at a glance Four computational ideas, four practical toolchains. 01 · Sampling & pixels Monte Carlo estimation, RGB channels, NumPy arrays and PIL images. 02 · Writing fingerprints Stylometry, Federalist Papers, tokenization and NLTK frequency distributions. 03 · People as networks Nodes, edges, graph models, shortest paths, NetworkX...

Week 10 | Quick Exam Revision QUICK REVISION / W10 NumPy Image Compression FLAMES Last-minute recap Quiz ✦ Exam sprint · Python concepts Understand fast. Recall confidently. A compact, mobile-friendly revision guide covering NumPy arrays and matrix operations, digital image compression, and the FLAMES algorithm—with worked examples and a self-check quiz. 3 core topics Worked examples 15-question quiz Instant feedback Your study plan 15–20 min Scan the core rules, test yourself, then revisit any question you missed. Topic Remember NumPy shape · axis · dtype Compression bucket gap FLAMES normalize · slice · modulo Source note: Your pasted guide is titled “Week 11 Exam Study Guide.” This page is labeled Week 10 as requested, while preserving the supplied guide’s topics and examples. 01 · NumPy fundamentals Arrays, shapes, data types, arithmetic and axes. Array basics 1D vs 2D import numpy as np v = np.array([1, 2, 3]) # v.shape → (3,) M = np.array([[1,2,3], ...

NPTEL Module 11 | Exam Quick Study Guide NPTEL · Module 11 Exam Quick Study Guide ☰ Menu Libraries datetime Timezones Weekdays Leap Years Valid Dates Selenium Locators Waits WhatsApp Workflow NPTEL · The Joy of Computing with Python Your Module 11 Exam Prep Starts Here Revise calendar arithmetic and browser automation with concise notes, key rules, code examples, and quick self-check questions. Calendar Arithmetic Python Concepts Selenium Automation Study key: Definition / key term Formula / rule Example / code idea 01 Overview of Modules and Key Libraries Know which Python library supports each calendar and time task. Revision tip ...

NPTEL Study Hub | PageRank & Collatz Conjecture ∑ NPTEL Study Hub ☰ Menu Collatz PageRank Graph Basics Algorithms Python Lab Quick Revision Self-Test ✦ Week 12 · Module 12 · Exam Notes Think clearly. Code confidently. A focused, student-friendly guide to the Collatz Conjecture , PageRank , graph terminology, and NetworkX implementations—with code snippets, quick revision tables, and a self-test. Start learning ↓ Print / Save as PDF ⌘ 3n + 1 PageRank NetworkX 01 · Collatz Rules, sequence tracing, iteration logic 02 · PageRank Directed graphs, random walk, points 03 · Python Lab NetworkX syntax and exam-ready code 📚 On this page 1. Collatz Conjecture 2. Sequence & steps 3. PageRank concept 4. Graph terminology 5. PageRank methods 6. NetworkX code 7. Quick revision 8. S...