01. Introduction to NumPy

1.1 Introduction to NumPy
1.2 Why we use NumPy
1.3 How to Install and use NumPy
1.4 Prerequisite to Learn NumPy
1.5 Outline of this Course

02. N-Dimensional Arrays

2.1 Arrays
2.2 Creating 1D Arrays
2.3 Creating 2D Arrays

03. Create a Different Metrices

3.1 Zero Metrics
3.2 Ones Metrics
3.3 Empty Metrics

04. Functions

4.1 Arange
4.2 Linspace
4.3 Reshape
4.4 Ravel
4.5 Flatten
4.6 Transpose

05. Mathematical Operations

5.1 Add
5.2 Subtract
5.3 Divide
5.4 Multiply
5.5 Sum
5.6 Mean
5.7 Srq
5.8 Sqrt
5.9 Exp
5.10 Log

06. Array Slicing

6.1 Row slicing
6.2 Column slicing
6.3 Diagonal Slicing
6.4 Item Size

07. Concatenation and Split

7.1 Concatenation
7.2 Split

08. Trigonometry

8.1 Helpful Functions
8.2 Trigonometric functions
8.3 Inverse Functions

09. Random Sampling

9.1 Random.Random()
9.2 Random.RandomInt()
9.3 Random.Seed()
9.4 Random.Choice()
9.5 Random.Permutation()