Скачать или смотреть Part-10 Master Python Libraries

📂 Step 10: Master Python Libraries 🐍

Python libraries make your coding faster and easier! Here are 3 essential libraries for data science:

1️⃣ NumPy: Quick calculations with arrays.

import numpy as np
arr = np.array([1, 2, 3, 4])
print(np.mean(arr))

Output: 2.5

2️⃣ Pandas: Work with data tables and analysis.

import pandas as pd
data = {'Name': ['Alice', 'Bob'], 'Age': [25, 30]}
df = pd.DataFrame(data)
print(df)


3️⃣ Matplotlib: Create visual charts.

import matplotlib.pyplot as plt
x = [1, 2, 3, 4]
y = [10, 20, 30, 40]
plt.plot(x, y)
plt.show()

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