# Numpy

### Numpy?

#### 📚 Numpy는 C언어로 구현된 파이썬 라이브러리로써, 고성능의 수치 계산을 위해 제작되었습니다. Numpy는 벡터 및 행렬 연산에 있어서 매우 편리한 기능을 제공합니다.

```python
import numpy as np

# 1차원 배열
vec = np.array([1, 2, 3, 4, 5])
print(vec)

################
[1 2 3 4 5]
################

# 2차원 배열
mat = np.array([[10, 20, 30], [ 60, 70, 80]]) 
print(mat)

################
[[10 20 30]
 [60 70 80]]
################

# 1씩 증가하는 1차원 배열(시작이 0부터)

print(np.arange(10)) 

################ 
[0 1 2 3 4 5 6 7 8 9]
################

# 1씩 증가하는 1차원 배열(시작이 5부터)

print(np.arange(5, 10)) 

################
[5 6 7 8 9]
################

# 영행렬 생성

print(np.zeros((2,2)))  

################
 [[0. 0.]
  [0. 0.]]
################

# 유닛행렬

print(np.ones((2,3)))  

################
 [[1. 1. 1.]
  [1. 1. 1.]]
################

# 모든 원소가 5인 2*3행렬

print(np.full((2,3), 5)) 

################
 [[5 5 5]
  [5 5 5]]
################

# 단위행렬

print(np.eye(3)) 

################
 [[1. 0. 0.]
  [0. 1. 0.]
  [0. 0. 1.]]
################
```


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