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Python

Topic Hub & Articles

Python Intro

10 min

Python Getting Started

10 min

Python Syntax

10 min

Recap Quiz

5 Questions

Python Comments

10 min

Python Variables

10 min

Python Data Types

10 min

Recap Quiz

5 Questions

Python Numbers

10 min

Python Casting

10 min

Python Strings

10 min

Recap Quiz

5 Questions

Python Booleans

10 min

Python Operators

10 min

Python Lists

10 min

Recap Quiz

5 Questions

Python Tuples

10 min

Python Sets

10 min

Python Dictionaries

10 min

Recap Quiz

5 Questions

Python If...Else

10 min

Python While Loops

10 min

Python For Loops

10 min

Recap Quiz

5 Questions

Python Functions

10 min

Python Lambda

10 min

Python Arrays

10 min

Recap Quiz

5 Questions

Python Classes/Objects

10 min

Python Inheritance

10 min

Python Iterators

10 min

Python Scope

10 min

Recap Quiz

5 Questions

Python Modules

10 min

Recap Quiz

5 Questions

Python Dates

10 min

Python Math

10 min

Python JSON

10 min

Recap Quiz

5 Questions

Python RegEx

10 min

Python PIP

10 min

Python Try...Except

10 min

Recap Quiz

5 Questions

Python User Input

10 min

Python String Formatting

10 min

Python Scope

10 min

Python Iterators

10 min

Recap Quiz

5 Questions

Python Polymorphism

10 min

Python Math Module

10 min

Python Random Module

10 min

Recap Quiz

5 Questions

Python JSON Module

10 min

Python RegEx Module

10 min

Python PIP Package Manager

10 min

Python File Handling

10 min

Recap Quiz

5 Questions

Python Read Files

10 min

Python Write/Create Files

10 min

Python Delete Files

10 min

Python Directory Management

10 min

ML Intro

10 min

Recap Quiz

5 Questions

ML Mean Median Mode

10 min

ML Standard Deviation

10 min

ML Percentile

10 min

Recap Quiz

5 Questions

ML Data Distribution

10 min

ML Linear Regression

10 min

ML Polynomial Regression

10 min

Recap Quiz

5 Questions

ML Multiple Regression

10 min

ML Scale

10 min

ML Train/Test

10 min

ML Decision Tree

10 min

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PythonPython Tutorial
Lesson

Python Intro

10 min reading
Free Course

Python Intro: Modern Python 3 Ecosystem & Applications

Python is a high-level, interpreted, dynamically typed programming language created by Guido van Rossum. Renowned for its readability, minimal boilerplate, and batteries-included philosophy, modern Python 3.10+ powers backend web services, data engineering pipelines, artificial intelligence, and automation scripts worldwide.

Execution Flow in Python 3

Unlike compiled languages like C or C++, Python code is parsed into bytecode (.pyc) by the CPython interpreter and executed line-by-line on the CPython Virtual Machine (PVM).

flowchart LR
    A["Python Source (.py)"] --> B["CPython Compiler"]
    B --> C["Bytecode (.pyc)"]
    C --> D["Python Virtual Machine (PVM)"]
    D --> E["Machine Code Execution"]

Key attributes of modern Python:

  1. Dynamic Typing with Optional Annotations: Variables are bound to object references at runtime, while type hints enable static inspection via MyPy or IDE autocompletion.
  2. Automatic Memory Management: Reference counting combined with a generational garbage collector manages object allocations and deallocations.
  3. Extensive Standard Library: Built-in modules support file I/O, networking, data serialization, concurrency, and regular expressions without third-party packages.

Practical Code Example

from typing import List, Dict, Any
import platform

def get_environment_info() -> Dict[str, Any]:
    """Retrieve runtime Python engine information and active features."""
    features: List[str] = ["Type Annotations", "Pattern Matching", "AsyncIO Core"]
    
    return {
        "engine": "CPython",
        "python_version": platform.python_version(),
        "platform": platform.system(),
        "supported_features": features
    }

if __name__ == "__main__":
    env_info = get_environment_info()
    print(f"Running on {env_info['engine']} v{env_info['python_version']} ({env_info['platform']})")
    for feature in env_info["supported_features"]:
        print(f" - Feature Enabled: {feature}")

Best Practices & Gotchas

  • Use Python 3.10+ Features: Take advantage of modern pattern matching (match/case), pipe union types (int | str), and enhanced error tracebacks.
  • Beware of GIL (Global Interpreter Lock): CPython enforces a GIL that restricts true parallel execution of CPU-bound tasks across multiple threads; use multiprocessing or concurrent.futures.ProcessPoolExecutor for CPU-heavy tasks.
  • Enforce PEP 8 Formatting: Keep code clean using standard code formatting tools like black or ruff.

Self-Check Challenge

Write a Python script that imports the built-in sys module, prints the current Python version tuple (sys.version_info), and checks if the major version equals 3.

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