import numpy as np

import matplotlib.pyplot as plt

x=np.linspace(0,1)

data1 = np.sin(x)

data2 = np.cos(x)

fig, ax1 = plt.subplots()

color = 'tab:red'

ax1.set_xlabel('x')

ax1.set_ylabel('sine', color=color)

ax1.plot(x, data1, color=color)

ax1.tick_params(axis='y', labelcolor=color)

ax2 = ax1.twinx()

color = 'tab:green'

ax2.set_ylabel('cosine', color=color)

ax2.plot(x, data2, color=color)

ax2.tick_params(axis='y', labelcolor=color)

plt.show()

#Simple Implementation

#---------------------------------------------------------------------

import numpy as np

import matplotlib.pyplot as plt

x = np.linspace(-np.pi, np.pi, 256, endpoint=True)

c= np.cos(x)

s= np.sin(x)

plt.plot(x,c)

plt.plot(x,s)

plt.show()

### Why Every Programmer Should Learn Python

### 1. Easy to Learn for Beginners

### 2. Widely Used for AI Development and Machine Learning

### 3. Unlimited Resources and Testing Framework

### 4. Offers Most In-Demand Job Opportunities in the Market

### 5. One of the Best for Web Development

### 6. An Ideal Option for Startups

### Source: Cybrary

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