🐍 Python Examples - Comprehensive Code Library
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Python Programming Examples

Comprehensive Python code examples and tutorials covering fundamentals, data science, web development, automation, and advanced programming concepts.

25+ Tutorials
5 Learning Paths
300+ Code Examples

Learning Paths

Choose your learning journey based on your goals and interests

🏗️

Python Fundamentals

Master the core concepts of Python programming from basic syntax to object-oriented programming.

  • Python Syntax & Basics
  • Data Types & Structures
  • Control Flow & Functions
  • Object-Oriented Programming
  • Exception Handling
  • File I/O & Modules
Start Path
📊

Data Science & Analytics

Learn Python for data analysis, visualization, and scientific computing with popular libraries.

  • NumPy Arrays
  • Pandas DataFrames
  • Visualization (Matplotlib/Seaborn)
  • Data Cleaning
  • Statistical Analysis
Start Path
🌐

Web Development

Build web applications, APIs, and handle web scraping with Python frameworks and libraries.

  • Flask Web Apps
  • Django Framework
  • REST APIs & FastAPI
  • Web Scraping
  • Authentication Patterns
Start Path
🤖

Automation & Scripting

Automate repetitive tasks, manage files, and create powerful automation scripts.

  • File System Operations
  • Web Automation (Selenium)
  • Email Automation
  • System Admin Scripts
Start Path
🚀

Advanced Python

Explore advanced topics including async programming, concurrency, and machine learning.

  • Async Programming
  • Concurrency & Threading
  • Machine Learning Basics
  • Testing & Debugging
Start Path

Popular Python Examples

Ready-to-use code snippets for common Python tasks

Data Analysis with Pandas

Popular
analysis.py

import pandas as pd
import numpy as np

# Create a sample dataset
data = {
    'Name': ['Alice', 'Bob', 'Charlie', 'Diana'],
    'Salary': [70000, 80000, 90000, 75000],
    'City': ['NYC', 'LDN', 'TKO', 'PAR']
}

df = pd.DataFrame(data)

# Statistical summary
print(df.describe())

# Group by city and calculate average salary
avg_salary = df.groupby('City')['Salary'].mean()
print(f"Average salary: {avg_salary}")
            

Web API with Flask

Web
app.py

from flask import Flask, jsonify

app = Flask(__name__)

@app.route('/')
def home():
    return jsonify({
        "message": "Welcome to Python API",
        "status": "healthy"
    })

if __name__ == '__main__':
    app.run(debug=True)
            

Python Ecosystem

Explore the vast landscape of Python libraries and frameworks

🐍

Core Python

Fundamentals, syntax, and built-in libraries.

Python 3.11+ Standard Library PEP 8
📊

Data Science

Analyze data and build machine learning models.

NumPy Pandas Matplotlib Scikit-learn
🌐

Web Development

Build robust web applications and APIs.

Django Flask FastAPI Requests
⚙️

Automation

Automate repetitive tasks and manage systems.

Selenium BeautifulSoup Celery Fabric
🤖

AI & Machine Learning

Build intelligent applications with AI frameworks.

TensorFlow PyTorch OpenAI Hugging Face
🚀

DevOps & Deployment

Deploy applications and implement CI/CD.

Docker Kubernetes Ansible AWS SDK

Why Learn Python?

Discover the benefits of mastering the world's most versatile language

📈

High Demand

Python consistently ranks as one of the most popular and in-demand programming languages worldwide.

🔧

Versatile

Use Python for web development, data science, automation, AI, scientific computing, and more.

👥

Large Community

Benefit from extensive libraries, frameworks, and a supportive global community of developers.

Easy to Learn

Clean, readable syntax makes Python an excellent choice for beginners and experienced developers.

🏢

Industry Standard

Used by tech giants like Google, Netflix, Instagram, and countless startups and enterprises.

🚀

Rapid Development

Build prototypes quickly and scale to production with Python's rich ecosystem and frameworks.