Decode-AiML

2.3 Introduction to Time and Space Complexity

Lecture 2.3.1) Asymptotic Notation in DSA - Big-O, Omega, Theta with Examples - Time Complexity - Hindi

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Notes Link : Asymptotic Notation

Video Description:

📘 Topics Covered:

  1. Introduction to Asymptotic Notation with Mathematical Explanation
  2. Types of Asymptotic Notation: Big-O, Omega, Theta
  3. Best, Average, and Worst Case Time Complexity with Examples
  4. Mathematical Definition of Big-O
  5. Shortcut to Calculate Big-O for Any Function
  6. Comparing Functions with Examples
  7. Using Logarithms to Compare Functions

#BigONotation #AsymptoticNotation #TimeComplexity #DSAInPython #DecodeAiML #DSATutorial #OmegaNotation #ThetaNotation #SpaceComplexity #PythonInHindi #decodeaiml

Lecture 2.3.2) Time Complexity of Iterative Programs in Python - Big-O of Loops & Nested Loops - Hindi

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Notes Link : Time Complexity of Iterative Programs

Video Description:

📘 Topics Covered:

  1. Types of Algorithms – Iterative vs Recursive
  2. Calculating Time Complexity of Iterative Programs
  3. Linear, Quadratic, Logarithmic Complexity with Iterative Examples
  4. Time Complexity of Nested Loops
  5. Comparing Different Big-O Complexities on Program Performance
  6. Polynomial vs Exponential Time Complexity Explained

#TimeComplexity #BigOofLoops #NestedLoopsPython #DSAinPython #DecodeAI #LearnDSA #PythonInHindi #AlgorithmComplexity #decodeaiml

Lecture 2.3.3) Memory Layout of Python Programs (CPython) - Heap and Stack Segment - Namespaces - Hindi

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Notes Link : Memory Layout of Python Program

Video Description:

📘 Topics Covered:

  1. Introduction to Memory layout of a Program
  2. Algorithms Vs Program Vs Process - Where they Reside in Memory?
  3. General Main Memory Layout of a Program
  4. Memory layout of a Python (CPython) Program
  5. Heap Segment Content with Examples
  6. Stack Frame in Stack Segment Explained with Examples
  7. What Are Namespaces and Where Are They Stored
  8. How Memory Is Managed in Python (CPython)

#MemoryLayoutPython #HeapAndStack #CPythonMemory #PythonNamespaces #DecodeAiML #PythonInHindi #PythonMemoryManagement #DSAinPython #decodeaiml

Lecture 2.3.4) How to Use LeetCode Effectively ? - Problems, Contests, Discussions, Swags - DSA in Hindi

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Notes Link : How to use Leetcode Effectively

Video Description:

📘 Topics Covered:

  1. How to Use LeetCode Effectively for Interview Preparation
  2. Exploring LeetCode Problems: Daily Challenges, Solutions, Editorials
  3. LeetCode Contests: Live and Virtual Participation
  4. LeetCode Discussion: Interview Experiences, Salaries, Career Advice
  5. Tracking Your LeetCode Profile: Contest Ratings, Rankings, Streaks

#LeetCodeTips #LeetCodeGuide #LeetCodeForInterviews #DSAinPython #DecodeAiML #CodingInterviewPrep #PythonInHindi #LeetCodeContest

Lecture 2.3.5) Introduction to Recursion - Base Case - Recursive Equation - Stack Frame Allocation - Hindi

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Notes Link : Introduction to Recursion

Video Description:

📘 Topics Covered:

  1. What is Recursion? Explained with Examples
  2. Base Case (Trivial Case) with Examples
  3. Recursive Equation with Code Examples
  4. Factorial & Fibonacci Problems using Recursion
  5. Stack Frame Allocation Sequence Explained
  6. Recursive vs Iterative Approaches
  7. Real Use-Cases of Recursion in DSA

#Recursion #PythonDSA #PythonInHindi #Fibonacci #Factorial #CodingInterview #StackFrame #LearnPython #DSAInPython #DecodeAiML

Lecture 2.3.6) Time Complexity of Recursion - Recurrence Relation, Master’s Theorem & Recursion Tree - Hindi

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Notes Link : Time Complexity of Recursion

Video Description:

📘 Topics Covered:

  1. What is Time Complexity in Recursion?
  2. Writing a Recurrence Relation
  3. Solving Recurrence using Substitution Method
  4. Master’s Theorem Explained with Examples
  5. Recursion Tree Method Explained Step-by-Step
  6. Time Complexity Analysis of Common Recursive Programs
  7. Best Method to Use in Different Scenarios

#Recursion #TimeComplexity #RecurrenceRelation #MastersTheorem #RecursionTree #PythonDSA #DSAHindi #CodingInterview #AlgorithmAnalysis #PythonRecursion #DecodeAiML

Lecture 2.3.7) Space Complexity of Iterative and Recursive Programs - Input and Auxiliary Space - Hindi

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Notes Link : Space Complexity in One Shot

Video Description:

📘 Topics Covered:

  1. Introduction to Space Complexity
  2. Space complexity of Iterative Programs
  3. Space complexity of Recursive Programs
  4. Input Space and Auxiliary Space
  5. Stack Frame allocation in Recursion
  6. Maximum Depth of Recursion Stack Frame
  7. Calculating Depth of recursion Tree

#spacecomplexity #PythonDSA #RecursivePrograms #IterativePrograms #AuxiliarySpace #InputSpace #DSAHindi #CodingInterview #PythonInHindi #DecodeAiML

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