Learn Python Programming
Start with getting started, installation, and core basics. Clear explanations and practical examples to help you learn faster.
Verify Python Installation
After installing Python, you need to verify it is correctly set up and accessible from your terminal or command prompt. This page shows you how to check your installation on every platform.
Check Python Version
Open your terminal (macOS/Linux) or Command Prompt (Windows) and run:
# Windows
python --version
# Output: Python 3.12.1
# macOS / Linux
python3 --version
# Output: Python 3.12.1
# Check pip (package manager)
pip --version
# or
pip3 --version
# Output: pip 23.3.1 from /usr/lib/python3/dist-packages/pip (python 3.12)Quick Test: Run Python Interactively
# Start the Python interactive shell
python3
# You should see something like:
# Python 3.12.1 (main, Dec 7 2023, 20:45:44)
# [GCC 11.4.0] on linux
# Type "help", "copyright" or "exit()" for more information.
# >>>
# Try some commands:
>>> print("Python works!")
Python works!
>>> 2 + 2
4
>>> import sys
>>> sys.version
'3.12.1 (main, Dec 7 2023, 20:45:44) [GCC 11.4.0]'
>>> exit() # or Ctrl+D to quitRun a Python File
# Create a file called test.py with this content:
import sys
print(f"Python version: {sys.version}")
print(f"Python path: {sys.executable}")
print(f"Platform: {sys.platform}")
print("Installation verified successfully!")Run it from your terminal:
$ python3 test.py Python version: 3.12.1 (main, Dec 7 2023, 20:45:44) [GCC 11.4.0] Python path: /usr/bin/python3 Platform: linux Installation verified successfully!
Common Issues and Fixes
| Problem | Cause | Fix |
|---|---|---|
python: command not found | Python not in PATH | Use python3 instead, or reinstall with "Add to PATH" checked |
pip: command not found | pip not installed or not in PATH | Run python3 -m pip --version or python3 -m ensurepip |
| Shows Python 2.x | System has both versions | Always use python3 and pip3 explicitly |
| Permission denied (Linux) | Need sudo for system-wide install | Use sudo apt install python3 or use a virtual environment |
| Wrong version installed | Older package in system repos | Download latest from python.org directly |
Verify pip and Install a Package
# Check pip version
pip3 --version
# Install a package (requests as example)
pip3 install requests
# Verify it works
python3 -c "import requests; print(requests.__version__)"
# Output: 2.31.0
# List all installed packages
pip3 listSet Up a Virtual Environment (Recommended)
# Create a virtual environment in your project folder
python3 -m venv myproject_env
# Activate it
# macOS/Linux:
source myproject_env/bin/activate
# Windows:
myproject_env\Scripts\activate
# Your prompt changes: (myproject_env) $
# Now pip install goes into this env only
pip install flask pandas numpy
# Deactivate when done
deactivateVirtual environments isolate project dependencies, preventing conflicts between projects that need different package versions.
Frequently Asked Questions
Answers to common Python getting-started questions
Python Programming Tutorial — Learn Python from Scratch
Python is the world's most popular programming language for beginners, data science, AI/ML, web development, and automation. This tutorial teaches Python step-by-step with clear explanations and runnable code examples. You can try every example in our free Python Compiler without installing anything.
Each topic builds on the previous one, starting from installation and Hello World through advanced concepts like decorators, generators, and file I/O. Whether you are a complete beginner or refreshing specific skills, every page gives you immediately usable code.
What This Tutorial Covers
- Getting Started: Install Python, run online, Hello World
- Basics: Variables, data types, type conversion, input/output
- Operators: Arithmetic, comparison, logical, assignment
- Control Flow: if/elif/else, for loops, while, break/continue
- Data Structures: Lists, tuples, sets, dictionaries
- Strings: Methods, slicing, formatting, f-strings
- Functions: Parameters, return values, *args, **kwargs, scope
- OOP: Classes, objects, inheritance, polymorphism
- File I/O: Reading, writing, CSV, JSON handling
- Exceptions: try/except, custom exceptions, raise
- Advanced: List comprehensions, lambda, generators, decorators
- Modules: import, pip, packages, __name__ == "__main__"
Why Learn Python in 2026?
- #1 most popular language: Ranked first on TIOBE, Stack Overflow, and GitHub for multiple years running.
- AI and Data Science: The primary language for machine learning (TensorFlow, PyTorch, scikit-learn), data analysis (Pandas, NumPy), and AI development.
- Web development: Django and Flask power backends at companies like Instagram, Spotify, and Pinterest.
- Automation: Automate files, emails, web scraping, reports, and system administration tasks in minutes.
- Beginner-friendly: Clean syntax with enforced indentation makes code readable from day one — no curly braces or semicolons.
- Massive job market: Python developers are in high demand across tech, finance, healthcare, and research.
Python vs Other Languages
| Feature | Python | Java | JavaScript | C++ |
|---|---|---|---|---|
| Syntax | Very clean, readable | Verbose | Moderate | Complex |
| Typing | Dynamic, strong | Static, strong | Dynamic, weak | Static, strong |
| Speed | Slower (interpreted) | Fast (JIT) | Fast (V8 JIT) | Fastest (native) |
| Best For | AI/ML, data, automation | Enterprise, Android | Web frontend/backend | Systems, games |
| Learning Time | 2–4 weeks basics | 4–6 weeks basics | 3–4 weeks basics | 8–12 weeks basics |
How to Get Started
- Run Python online: Use our free Python Compiler — no installation needed.
- Install locally: Download Python 3 from
python.org(Windows/Mac) or useapt install python3(Linux). - Verify: Run
python3 --versionin your terminal to confirm installation. - Choose an editor: VS Code with Python extension (free), PyCharm Community (free), or Jupyter Notebook for data science.
- Follow this tutorial in order: Start from Introduction and work through each topic sequentially.
Frequently Asked Questions
No. Python is designed to be beginner-friendly. This tutorial starts from absolute zero and builds up gradually.
Python 3.10+ is recommended. Python 2 reached end-of-life in 2020. All examples in this tutorial use Python 3 syntax.
Basics (syntax, loops, functions) take 2–4 weeks. Intermediate (OOP, file I/O, modules) adds 3–4 weeks. Specialisation (Django, data science, ML) takes another 2–3 months.
Yes, completely free. No account, no sign-up. All topics and examples available without restriction.
Who Is This For?
Complete beginners choosing their first programming language. Students in CS courses needing a Python reference. Data analysts transitioning from Excel to Python (Pandas). Self-taught developers adding Python to their skill set. Professionals automating repetitive tasks. Anyone preparing for Python coding interviews.