Popular Python Libraries

This lesson presents the most used Python libraries for data processing, visualization, GUI, games, and automation. Each library comes with examples and practical applications.

numpy and pandas - Data Processing

numpy: working with arrays, fast mathematical operations
pandas: manipulating data tables (DataFrame), import/export CSV, filtering

import numpy as np
import pandas as pd

a = np.array([1, 2, 3])
df = pd.DataFrame({"Name": ["John", "Maria"], "Age": [25, 30]})
print(df)

matplotlib - Charts and Visualizations

Creating line charts, bar charts, histograms, etc.
Ideal for visual analysis and reporting

import matplotlib.pyplot as plt

x = [1, 2, 3]
y = [2, 4, 6]
plt.plot(x, y)
plt.title("Simple Chart")
plt.show()

requests - Working with APIs

Send HTTP requests to servers
Ideal for web scraping, integration with external services

import requests

r = requests.get("https://api.github.com")
print(r.status_code)
print(r.json())

tkinter - Graphical Interfaces

Create windows, buttons, text fields
Ideal for simple desktop applications

import tkinter as tk

root = tk.Tk()
root.title("Hello, John!")
tk.Label(root, text="Welcome!").pack()
root.mainloop()

pygame - 2D Games

Create games with graphics, sound, and interaction
Ideal for creative and educational projects

import pygame

pygame.init()
screen = pygame.display.set_mode((400, 300))
pygame.display.set_caption("John's Game")

running = True
while running:
    for event in pygame.event.get():
        if event.type == pygame.QUIT:
            running = False
pygame.quit()

Congratulations on completing the Python course! You have built a solid foundation for modern Python development, explored the essential tools that turn code into a real, scalable, and deployable application.

But the real journey is just beginning. As you deepen your concepts and expand your skills, you will discover new challenges, technologies, and opportunities. Our platform continues to provide valuable resources to help you move forward.

Keep learning, experimenting, and creating. Your future as a developer is built with every line of code.