DAY 3 (21 Sept 2023):

Topic: Numpy Revision

1. Numpy Array Basics
   • 1.1 Understanding Numpy DataTypes
   • 1.2 Creating Numpy Arrays
2. Array Inspection
   • 2.1 Array Dimension and Shapes
   • 2.2 Array Indexing and Slicing
3. Array Operations
   • 3.1 Element-wise Operations
   • 3.2 Append and Delete
   • 3.3 Aggregation Functions and ufuncs
   • 3.4 Reshpaing Arrays
4. Working with Numpy Arrays
   • 4.1 Combining Arrays
   • 4.2 Splitting Arrays
   • 4.3 Alias vs. View vs. Copy of Arrays
   • 4.4 Sorting Numpy Arrays
5. NumPy for Data Cleaning
   • 5.1 Identifying Missing Values
   • 5.2 Removing Rows or Columns with Missing Values
6. NumPy for Statistical Analysis
   • 6.1 Data Transformation
   • 6.2 Random Sampling
7. NumPy for Linear Algebra
   • 7.1 Complex Matrix Operations
   • 7.2 Solve Linear Equations
8. Advanced NumPy Techniques
   • 8.1 Masked Arrays
   • 8.2 Structured Arrays
9. Performance Optimization with NumPy
   • NumPy vs. Standard Python Lists

Detailed Medium Article: Mastering NumPy: A Data Enthusiast’s Essential Companion

LinkedIn post: Day 3 Update

LeetCode Problems Solved:

1. Median of Two Sorted Arrays
2. Consecutive Numbers

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