IEMDaily - Video Lecture Notes

Programming & Data Structure (English) (Part 3)

Thursday, November 05, 2026

Starting a new Lecture Notes Series on Programming & Data Structure

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Lecture 133: 133. Counting Binary Search Trees

Lecture 134: 134. BST Search Logic

Lecture 135: 135. Visualizing BST Logic

Lecture 136: 136. Decoding Tree Traversals

Lecture 137: 137. The Unique BST

Lecture 138: 138. BST Node Deletion

Lecture 139: 139. Visual BST Replments

Lecture 140: 140. N ary Tree Leaf Formula

Lecture 141: 141. Ternary Tree Leaf Derivation

Lecture 142: 142. Validating Binary Trees

Lecture 143: 143. AVL Geometric Harmony

Lecture 144: 144. AVL Tree Balance

Lecture 145: 145. AVL Rotation Mechanics

Lecture 146: 146. AVL Tree Node Limits

Lecture 147: 147. The Binary Tree Plus One Rule

Lecture 148: 148. Binary Tree Anatomy

Lecture 149: 149. Minimal Constrained Binary Tree Nodes

Lecture 150: 150. Minimal Size Balanced Trees

Lecture 151: 151. BST Range Sum Analysis

Lecture 152: 152. The Botanical Code

Lecture 153: 153. Maximizing Expression Trees

Lecture 154: 154. Tree Architectures

Lecture 155: 155. Binary Tree Syntax Decoded

Lecture 156: 156. Deducing the BST Root

Lecture 157: 157. Mapping Array Trees

Lecture 158: 158. The Parent Index Mystery

Lecture 159: 159. The LCRS Tree Mystery

Lecture 160: 160. The Architecture of Connection

Lecture 161: 161. Graph Data Structures

Lecture 162: 162. Graph Search Mechanics

Lecture 163: 163. BFS Matrix Complexity

Lecture 164: 164. Beyond Graph Search

Lecture 165: 165. DFS Visualized

Lecture 166: 166. Graph Algorithm Anatomy

Lecture 167: 167. Decoding Graph Traversal

Lecture 168: 168. DFS Decoded

Lecture 169: 169. Decoding DFS Depth

Lecture 170: 170. Hidden Graphs Explained | Graph Representation and Algorithm Analysis

Lecture 171: 171. The Quest for Constant Time

Lecture 172: 172. Mastering Hashing

Lecture 173: 173. Chaining Visualized

Lecture 174: 174. Hash Chaining Architecture

Lecture 175: 175. Hashing and Probability

Lecture 176: 176. Collision Probability

Lecture 177: 177. Open Addressing Visualized

Lecture 178: 178. Linear Probing Visualized

Lecture 179: 179. Linear Probing Visualized

Lecture 180: 180. Linear Probing Visualized

Lecture 181: 181. Visualizing Hashing Collisions

Lecture 182: 182. Decoding Hash Table Permutations

Lecture 183: 183. The Quadratic Leap

Lecture 184: 184. Double Hashing Architecture

Lecture 185: 185. Disjoint Set Essentials

Lecture 186: 186. Visualizing Disjoint Sets

Lecture 187: 187. Linked List Disjoint Sets

Lecture 188: 188. Linked List Disjoint Sets

Lecture 189: 189. Amortized Disjoint Analysis

Lecture 190: 190 Visualizing Disjoint Set Forests

Lecture 191: 191. Union by Size

Lecture 192: 192. Visualizing Union by Rank

Lecture 193: 193. Optimizing Disjoint Sets

Lecture 194: 194. Disjoint Set Complexity Simplified

Lecture 195: 195. Kruskal s Algorithm Visualized

Lecture 196: 196. Visualizing Kruskal s Algorithm

Lecture 197: 197. Graph Connectivity with Disjoint Sets

Lecture 198: 198. Visualizing Disjoint Sets

Programming & Data Structure (English) (Part 2)

Wednesday, November 04, 2026

Starting a new Lecture Notes Series on Programming & Data Structure

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Lecture 67: 67. Inside atoi

Lecture 68: 68. The Missing Zero

Lecture 69: 69. The Preprocessor Sneak Attack

Lecture 70: 70. C Loop Logic Decoded

Lecture 71: 71. The Illusion of Memory

Lecture 72: 72. Two-Pointer Technique Visualized | Array Manipulation and Memory Explained

Lecture 73: 73. Storage Class Arcitecture

Lecture 74: 74. Static Variable Persistence

Lecture 75: 75. Static Recursion Visualized

Lecture 76: 76. C Memory Architecture

Lecture 77: 77. C Dynamic Memory Management

Lecture 78: 78. C Structure Architecture

Lecture 79: 79. Visualizing C Pointers

Lecture 80: 80. Self Referential Structures

Lecture 81: 81. Dynamic Memory Mastery

Lecture 82: 82. Printf Deconstructed

Lecture 83: 83. Mastering C Input

Lecture 84: 84. The Bitwise Scanner

Lecture 85: 85. C File Handling

Lecture 86: 86. C File Navigation

Lecture 87: 87. Fluid String IO

Lecture 88: 88. C Data Streams

Lecture 89: 89. The Journey of a Byte

Lecture 90: 90. Dynamic C Memory

Lecture 91: 91. C Line Counting

Lecture 92: 92. Visualizing C File I O

Lecture 93: 93. Tracing Recursion Step by Step | Recursion Tree and Call Stack Explained

Lecture 94: 94. Visualizing Link List

Lecture 95: 95. Linked List Traversal

Lecture 96: 96. Visual Node Insertion

Lecture 97: 97. Linked List Deletion

Lecture 98: 98. SLL Pairwise Reordering

Lecture 99: 99. Tail to Head

Lecture 100: 100. Unwinding Recursion

Lecture 101: 101. Iterative List Reversal

Lecture 102: 102. Recursive List Reversal

Lecture 103: 103. Linked List Hacks

Lecture 104: 104. Circular Sentinel Architecture

Lecture 105: 105. Recursive Logic Decoded

Lecture 106: 106. Doubly Linked List Mastery

Lecture 107: 107. Understanding Stacks

Lecture 108: 108. Array Stack Mechanics

Lecture 109: 109. Dynamic Linked Stacks

Lecture 110: 110. Decoding Circular Queues

Lecture 111: 111. Single Pointer Circular Queues

Lecture 112: 112. Stack Permutation

Lecture 113: 113. Priority Queues Stacks

Lecture 114: 114. Average Stack Lifetime

Lecture 115: 115. Two Stack Queues

Lecture 116: 116. Stack Queue Logic

Lecture 117: 117. Infix to Postfix

Lecture 118: 118. Postfix Engine

Lecture 119: 119. Binary Tree Traversals

Lecture 120: 120. Visualizing Trersals

Lecture 121: 121. The Recursion Checklist

Lecture 122: 122. Triple Order Traversal

Lecture 123: 123. Indirect Tree Recurtion

Lecture 124: 124. Binary Tree Combinatorics

Lecture 125: 125. Decoding Tree Uniqueness

Lecture 126: 126. Binary Tree Recx Reconstruction

Lecture 127: 127. Recursive Node Counting

Lecture 128: 128. Visualizing Tree Recursion

Lecture 129: 129. The Full Node Algorithm

Lecture 130: 130. Visualizing Tree_Height

Lecture 131: 131. Binary Search Tree_Logic

Lecture 132: 132. Decoding the Binary_Search_Tree

CSE/IT SERIES LECTURE SERIES

Programming & Data Structure (English) (Part 1)

Wednesday, November 04, 2026

Starting a new Lecture Notes Series on Programming & Data Structure

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Lecture 1: 01. Beginning C

Lecture 2: 02. C Compiler Explained | How C Code Is Translated and Executed

Lecture 3: 03. Visualizing Form

Lecture 4: 04. C Character IO

Lecture 5: 05. C Operator Hierarchy

Lecture 6: 06. C Data Architecture

Lecture 7: 07. Enums for Humans

Lecture 8: 08. Type Fluidity

Lecture 9: 09. Compiler Constans

Lecture 10: 10. C String Mechanics

Lecture 11: 11. Assignment Shorthand

Lecture 12: 12. Visual Bitwise

Lecture 13: 13. Ternary Operator in C Explained | Conditional Expressions Made Simple

Lecture 14: 14. The Increment Dilemma

Lecture 15: 15. C Operator Spect

Lecture 16: 16. C Code Deconstrurm

Lecture 17: 17. Mastering Memory Geometry

Lecture 18: 18. The Logic of Choice

Lecture 19: 19. Mastering Control Flow

Lecture 20: 20. C If-Else Statements Explained | Conditional Logic in C Programming

Lecture 21: 21. Even or Odd in C

Lecture 22: 22. Optimizing Control Flow

Lecture 23: 23. Mastering C Switch Statements

Lecture 24: 24. Mastering the Switch

Lecture 25: 25. Visual C Calculator

Lecture 26: 26. C While Loop

Lecture 27: 27 Action Before Condition

Lecture 28: 28. The For Loop

Lecture 29: 29. Summing Natural Numbers in C

Lecture 30: 30. C do while Mastery

Lecture 31: 31. Mastering C Loop Flow

Lecture 32: 32. C Break Mastery

Lecture 33: 33. Prime Numbers in C Programming | Check Whether a Number Is Prime

Lecture 34: 34. Scaling Factorial Logic

Lecture 35: 35. Mastering C Nested Loops

Lecture 36: 36. Counting Digits in C

Lecture 37: 37. Armstrong Number Geometry

Lecture 38: 38. C Star Pyramid Logic

Lecture 39: 39. Visualizing C Palindromes

Lecture 40: 40. C Fibonacci Engine

Lecture 41: 41. Modular Functions in C Programming | Writing Reusable and Structured Code

Lecture 42: 42. Visualizing Pointer Swap

Lecture 43: 43. The C Power Engine

Lecture 44: 44. Visualizing Pointers

Lecture 45: 45. Visualizing C Pointers

Lecture 46: 46. Visualizing C Pointers

Lecture 47: 47. The Pointer Swap

Lecture 48: 48. Memory Doppelgängers

Lecture 49: 49. Spatial Pointer Mechanics

Lecture 50: 50. C Memory Mechanics

Lecture 51: 51. GATE 2008 Stringalized

Lecture 52: 52. Mastering C Poinerytax

Lecture 53: 53. The Pointer Labyrinth

Lecture 54: 54. Function Pointers in C Explained | Syntax, Working and Practical Examples

Lecture 55: 55. C Syntax Decoded

Lecture 56: 56. Visualizing Array Memory

Lecture 57: 57. Matrix Memory Mapping

Lecture 58: 58. Binary Array Architecture

Lecture 59: 59. Visual Array Mapping

Lecture 60: 60. Matrix Storage Optimization

Lecture 61: 61. Visualizing C String

Lecture 62: 62. Mastering strcpy

Lecture 63: 63. Visualizing strcT

Lecture 64: 64. Inside strcmp() in C C | String Comparison Explained

Lecture 65: 65. Two Pointer String

Lecture 66: 66. Integer to String

CONCEPTS SERIES LECTURE SERIES

Evolutionary Computation for Single and Multi-Objective Optimization (English)

Wednesday, November 04, 2026

Starting a new Lecture Notes Series on Evolutionary Computation for Single and Multi-Objective Optimization

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Lecture 1: Evolutionary Computation for Single and Multi-Objective Optimization

Lecture 2: Lec 1 : Introduction to Optimization

Lecture 3: Lec 2 : Introduction to Evolutionary Computation

Lecture 4: Lec 3 : Binary-Coded Genetic Algorithm (BGA)

Lecture 5: Lec 4 : Operators and Simulations of Binary-Coded Genetic Algorithm

Lecture 6: Lec 5 : Real-Coded Genetic Algorithm (RGA)

Lecture 7: Lec 6 : Operators and Simulations of Real-Coded Genetic Algorithm

Lecture 8: Lec 7 : Algorithmic Implementation of BGA and RGA

Lecture 9: Lec 8 : Particle Swarm Optimization (PSO)

Lecture 10: Lec 9 : Simulations and Algorithmic Implementation of Particle Swarm Optimization

Lecture 11: Lec 10 : Differential Evolution (DE)

Lecture 12: Lec 11 : Simulations and Algorithmic Implementation of Differential Evolution

Lecture 13: Lec 12 : Constrained Optimization: Introduction and Optimality

Lecture 14: Lec 13 : Penalty Function Methods for Evolutionary Computing Techniques

Lecture 15: Lec 14 : Evolutionary Computing Techniques: Separation of Objective Function and Constraints

Lecture 16: Lec 15 : Simulations of Constraint Handling Techniques

Lecture 17: Lec 16 : Simulations of Constraint Handling Techniques: Part 2

Lecture 18: Lec 17 : Introduction to Multi-Objective Optimization: Part 1

Lecture 19: Lec 18 : Introduction to Multi-Objective Optimization: Part 2

Lecture 20: Lec 19 : Multi-Objective Optimization: Ranking and Diversity

Lecture 21: Lec 20 : Classical Multi-Objective Optimization Methods

Lecture 22: Lec 21 : Non-Dominated Genetic Algorithm: NSGA-II: Introduction

Lecture 23: Lec 22 : Non-Dominated Genetic Algorithm: NSGA-II: Simulations

Lecture 24: Lec 23 : Strength Pareto Evolutionary Algorithm: SPEA2: Introduction

Lecture 25: Lec 24 : Strength Pareto Evolutionary Algorithm: SPEA2: Simulations

Lecture 26: Lec 25 : Performance Assessment of Multi-Objective EC Techniques

Lecture 27: Lec 26 : Closure of EC for Single and Multi-Objective Optimization

CONCEPTS SERIES LECTURE SERIES

Dynamic Behaviour of Materials (English)

Thursday, October 29, 2026

Starting a new Lecture Notes Series on Dynamic Behaviour of Materials

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Lecture 1: Dynamic Behaviour of Materials

Lecture 2: Lec 1: Introduction to Dynamic Behaviour of Materials - I

Lecture 3: Lec 2: Introduction to Dynamic Behaviour of Materials - II

Lecture 4: Lec 3: Introduction to Waves

Lecture 5: Lec 4: Quasi-static vs Dynamic Deformation

Lecture 6: Lec 5: Elastic Wave and its Classification

Lecture 7: Lec 6: Propagation of Elastic Waves in Continuum

Lecture 8: Lec 7: Wave Reflection, Refraction and Interaction

Lecture 9: Lec 8: General Solution of Elastic Wave Equation

Lecture 10: Lec 9: Additional Considerations of Elastic Wave in Cylindrical Bar

Lecture 11: Lec 10: Introduction to Plastic Waves

Lecture 12: Lec 11: Plastic Waves of Uniaxial Stress

Lecture 13: Lec 12: Plastic Waves of Combined Stress

Lecture 14: Lec 13: Taylor's Experiment for Plastic Wave Propagation 1

Lecture 15: Lec 14: Taylor's Experiment for Plastic Wave Propagation 2

Lecture 16: Lec 15: Taylor's Experiment: Wilkins-Guinan Analysis

Lecture 17: Lec 16: Introduction to Shock Waves- I

Lecture 18: Lec 17: Introduction to Shock Waves- II

Lecture 19: Lec 18: Shock Wave: Rankine Hugonoit Treatment

Lecture 20: Lec 19: Rankine Hugonoit Treatment and Shock Wave under Impact

Lecture 21: Lec 20: Shock Wave under Impact

Lecture 22: Lec 21: Equations of States (Shock Waves) : Experimental Methods

Lecture 23: Lec 22: Equations of States (Shock Waves) : Theoretical Calculations

Lecture 24: Lec 23: Complex Problems of Shock Waves and Temperature Rise under Shock Wave

Lecture 25: Lec 24:Shock Wave Attenuation, Interaction and Reflection- I

Lecture 26: Lec 25: Shock Wave Attenuation, Interaction and Reflection- II

Lecture 27: Lec 26: Shock Wave Interaction and Reflection

Lecture 28: Lec 27: Fundamentals of Materials Science and Engineering

Lecture 29: Lec 28: Shock Wave Induced Phase Transformations I

Lecture 30: Lec 29: Shock Wave Induced Phase Transformations 2

Lecture 31: Lec 30: Shock Wave Induced Phase Transformations 3

Lecture 32: Lec 31: Shock Wave Induced Phase Transformations 4

Lecture 33: Lec 32: Experimental Techniques for Dynamic Deformation 1

Lecture 34: Lec 33: Experimental Techniques for Dynamic Deformation 2

Lecture 35: Lec 34: Plastic Deformation at High Strain Rates 1

Lecture 36: Lec 35: Plastic Deformation at High Strain Rates 2

Lecture 37: Lec 36: Plastic Deformation at High Strain Rates 3

Lecture 38: Lec 37: Plastic Deformation at High Strain Rates 4

Lecture 39: Lec 38: Plastic Deformation at High Strain Rates 5

Lecture 40: Lec 39: Plastic Deformation Under Shock Waves 1

Lecture 41: Lec 40: Plastic Deformation Under Shock Waves 2

Lecture 42: Lec 41: Plastic Deformation Under Shock Waves 3

Lecture 43: Lec 42: Shear Band 1

Lecture 44: Lec 43: Shear Band 2

Lecture 45: Lec 44: Dynamic Fracture 1

Lecture 46: Lec 45: Dynamic Fracture 2

CONCEPTS SERIES LECTURE SERIES

Mass Transfer Operations -I (English)

Wednesday, October 28, 2026

Starting a new Lecture Notes Series on Mass Transfer Operations -I

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Lecture 1: Mass Transfer Operations -I

Lecture 2: Lec 1: Introduction and Overview of Mass Transfer Operation

Lecture 3: Lec 2: Molecular and Eddy Diffusion, Diffusion Velocities and Fluxes

Lecture 4: Lec 3: Fick's First and Second Law

Lecture 5: Lec 4: Steady State Molecular Diffusion in fluids under stagnant and laminar flow conditions

Lecture 6: Lec 5: Diffusion through variable cross-sectional area

Lecture 7: Lec 6: Gas Phase Diffusion Coefficient measurement

Lecture 8: Lec 7: Gas Phase Diffusion Coefficient prediction and liquid phase diffusion coefficient measurement

Lecture 9: Lec 8: Multicomponent diffusion and diffusivity in solids

Lecture 10: Lec 9: Mass transfer coefficient concept and classifications

Lecture 11: Lec 10: Dimensionless groups and correlations for convective mass transfer coefficients

Lecture 12: Lec 11: Mass transfer coefficient in laminar flow

Lecture 13: Lec 12: Boundary Layer Theory and mass transfer coefficients in turbulent flow

Lecture 14: Lec 13: Mass transfer theories

Lecture 15: Lec 14: Interphase mass transfer

Lecture 16: Lec 15: Interphase mass transfer and material balance for operating line

Lecture 17: Lec 16: Number of ideal stages in counter current operation: graphical and algebraic methods

Lecture 18: Lec 17: Introduction, classification, Sparged and agitated vessels design

Lecture 19: Lec 18: Gas dispersed: Tray tower

Lecture 20: Lec 19: Sieve Tray

Lecture 21: Lec 20: Liquid dispersed: Venture scrubber, wetted wall column, Packed tower

Lecture 22: Lec 21: Introduction to absorption, Equilibrium in gas-liquid system, and minimum liquid rate

Lecture 23: Lec 22: Design of packed column absorber based on the Individual Mass Transfer Coefficient

Lecture 24: Lec 23: Design of packed column absorber based on the Overall Mass Transfer Coefficient

Lecture 25: Lec 24: HETP, Design of packed column absorber for dilute and concentrated gases

Lecture 26: Lec 25: Absorption in plate column: Method of McCabe & Thiele-graphical determination of ideal trays

Lecture 27: Lec 26: Introduction to distillation, binary equilibrium diagrams and concept of relative volatility

Lecture 28: Lec 27: Distillation in non-ideal systems and concept of enthalpy-concentration diagram

Lecture 29: Lec 28: Flash distillation

Lecture 30: Lec 29: Batch and steam distillation

Lecture 31: Lec 30: Continuous multistate fractionation

Lecture 32: Lec 31: Number of trays by McCabe & Thiele for distillation

Lecture 33: Lec 32: Pinch Points and minimum reflux

Lecture 34: Lec 33: Reflux below its bubble point: Sub-cooled reflux and use of open steam

Lecture 35: Lec 34: Multiple feeds, multiple product withdrawal or side streams

Lecture 36: Lec 35: Multistage batch distillation with reflux

Lecture 37: Lec 36: The Ponchon-Savarit method - I

Lecture 38: Lec 37: The Ponchon-Savarit method - II

Lecture 39: Lec 38: Packed Distillation

Lecture 40: Lec 39: Introduction to multicomponent distillation and multicomponent flash distillation

Lecture 41: Lec 40: Minimum stages and minimum reflux in multicomponent distillation

Lecture 42: Lec 41: Multicomponent batch distillation

CONCEPTS SERIES LECTURE SERIES

Mass Transfer Operations II (English)

Saturday, October 24, 2026

Starting a new Lecture Notes Series on Mass Transfer Operations II

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Lecture 1: Mass Transfer Operations II

Lecture 2: Lec 1: Basic concepts, Adiabatic saturation temperature

Lecture 3: Lec 2: Design calculations of cooling tower

Lecture 4: Lec 3: Design of cooling tower

Lecture 5: Lec 4: Design of cooling tower

Lecture 6: Lec 5: Air conditioning, Example problems on dehumidification

Lecture 7: Lec 6: Mechanism of drying and drying equilibria, drying rate curve

Lecture 8: Lec 7: Drying: rate of drying for batch dryers

Lecture 9: Lec 8: Drying: rate of drying for continuous dryers

Lecture 10: Lec 9: Drying time calculation from drying rate curve

Lecture 11: Lec 10: Introduction to liquid-liquid extraction, liquid-liquid equilibria

Lecture 12: Lec 11: Effect of temperature on LLE & Design of single stage extraction

Lecture 13: Lec 12: Design Calculation of Multistage Operation

Lecture 14: Lec 13: Design calculation of multistage cross-current extraction

Lecture 15: Lec 14: Design calculation of multistage counter-current extraction, Selection of extractors

Lecture 16: Lec 15: Leaching: single stage operation

Lecture 17: Lec 16: Leaching: multistage operation

Lecture 18: Lec 17: Supercritical Fluid Extraction, equipmet for leaching

Lecture 19: Lec 18: Fundamentals of membrane separation processes

Lecture 20: Lec 19: Manufacturing of membranes,advantages and limitations

Lecture 21: Lec 20: Various models and applications: design aspects

Lecture 22: Lec 21: Various models and applications: design aspects

Lecture 23: Lec 22: Electric field enhanced membrane separation processes

Lecture 24: Lec 23: Micellar-enhanced ultrafiltration

Lecture 25: Lec 24: Adsorption: types and nature, isotherm

Lecture 26: Lec 25: Stage wise and continuous adsorption

Lecture 27: Lec 26: Fluidized bed and teeter bed

Lecture 28: Lec 27: Unsteady state fixed bed adsorbers, ion exchange

Lecture 29: Lec 28: Crystallization, types of crystal geometry

Lecture 30: Lec 29: Solid-liquid phase equilibrium, Theory of crystallization

Lecture 31: Lec 30: Design of crystallizer, crystallization equipment

Lecture 32: Lec 31: Concluding remarks: Part 1

Lecture 33: Lec 31: Concluding remarks: Part 2

CSE/IT SERIES LECTURE SERIES

Python for Beginners (Full Course) | #100DaysOfCode Programming Tutorial in Hindi (Part 2)

Friday, October 02, 2026

Starting a new Lecture Notes Series on Python for Beginners (Full Course) | #100DaysOfCode Programming Tutorial in Hindi

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Indian Polity for All Competitive Exams By Lecture Notes together!

Lecture 52: Lambda functions in Python | Python Tutorial - Day #52

Lecture 53: Map, Filter and Reduce in Python | Python Tutorial - Day #53

Lecture 54: 'is' vs '==' in Python | Python Tutorial - Day #54

Lecture 55: Exercise 5 - Snake Water Gun | Python Tutorial - Day #55

Lecture 56: Introduction to OOPs in Python | Python Tutorial - Day #56

Lecture 57: Classes and Objects in Python | Python Tutorial - Day #57

Lecture 58: Constructors in Python | Python Tutorial - Day #58

Lecture 59: Decorators in Python | Python Tutorial - Day #59

Lecture 60: Getters and Setters in Python | Python Tutorial - Day #60

Lecture 61: Inheritance in Python | Python Tutorial - Day #61

Lecture 62: Access Modifiers in Python | Python Tutorial - Day #62

Lecture 63: Snake Water Gun Game in Python - Exercise 5 - Solution | Python Tutorial - Day #63

Lecture 64: Exercise 6 - Library Management System in Python | Python Tutorial - Day #64

Lecture 65: Static Methods in Python | Python Tutorial - Day #65

Lecture 66: Instance variables vs Class variables in Python | Python Tutorial - Day #66

Lecture 67: Exercise 6 Solution - Library Management Software in Python | Python Tutorial - Day #67

Lecture 68: Exercise 7 - Clear the Clutter | Python Tutorial - Day #68

Lecture 69: Class Methods in Python | Python Tutorial - Day #69

Lecture 70: Class Methods as Alternative Constructors in Python | Python Tutorial - Day #70

Lecture 71: dir, __dict__ and help method in Python | Python Tutorial - Day #71

Lecture 72: super keyword in Python | Python Tutorial - Day #72

Lecture 73: Magic/Dunder Methods in Python | Python Tutorial - Day #73

Lecture 74: Method Overriding in Python | Python Tutorial - Day #74

Lecture 75: Exercise 7 Solution + Shoutouts | Python Tutorial - Day #75

Lecture 76: Exercise 8 - Merge the PDF | Python Tutorial - Day #76

Lecture 77: Operator Overloading in Python | Python Tutorial - Day #77

Lecture 78: Single Inheritance in Python | Python Tutorial - Day #78

Lecture 79: Multiple Inheritance in Python | Python Tutorial - Day #79

Lecture 80: Multilevel Inheritance in Python | Python Tutorial - Day #80

Lecture 81: Hybrid and Hierarchical Inheritance in Python | Python Tutorial - Day #81

Lecture 82: Exercise 8 - Merge the Pdf Solution in Python | Python Tutorial - Day #82

Lecture 83: Exercise 9 - Shoutouts to Everyone | Python Tutorial - Day #83

Lecture 84: Time Module in Python | Python Tutorial - Day #84

Lecture 85: Creating command line utility in python | Python Tutorial - Day #85

Lecture 86: Walrus Operator in Python | Python Tutorial - Day #86

Lecture 87: Shutil Module in Python | Python Tutorial - Day #87

Lecture 88: Exercise 9: Solution - Shoutouts to Everyone | Python Tutorial - Day #88

Lecture 89: Requests Module in Python | Python Tutorial - Day #89

Lecture 90: Exercise 10: News App in Python | Python Tutorial - Day #90

Lecture 91: Generators in Python | Python Tutorial - Day #91

Lecture 92: Function Caching in Python | Python Tutorial - Day #92

Lecture 93: Exercise 10 - News App Solution & Shoutout | Python Tutorial - Day #93

Lecture 94: Exercise 11 - Drink Water Reminder | Python Tutorial - Day #94

Lecture 95: Regular Expressions in Python | Python Tutorial - Day #95

Lecture 96: AsyncIO in Python | Python Tutorial - Day #96

Lecture 97: Multithreading in Python | Python Tutorial - Day #97

Lecture 98: MultiProcessing in Python | Python Tutorial - Day #98

Lecture 99: Exercise 11: Solution + Shoutouts - Desktop Notification System | Python Tutorial - Day #99

Lecture 100: Conclusion and Where to go from here | Python Tutorial - Day #100