Learn Python Programming
Start with getting started, installation, and core basics. Clear explanations and practical examples to help you learn faster.
Python Exceptions
Exceptions are errors detected during execution. When Python encounters an error it cannot handle, it raises an exception that interrupts normal program flow.
What Are Exceptions?
# Exceptions occur when something goes wrong at runtime
# (as opposed to syntax errors, which are caught before running)
# Common built-in exceptions:
print(10 / 0) # ZeroDivisionError
print(int("hello")) # ValueError
print(my_var) # NameError (undefined variable)
print([1, 2][5]) # IndexError
print({"a": 1}["b"]) # KeyError
print("hello" + 5) # TypeError
open("missing.txt") # FileNotFoundError
Exception Hierarchy
# All exceptions inherit from BaseException
# Most user-facing exceptions inherit from Exception
# BaseException
# ├── SystemExit
# ├── KeyboardInterrupt
# ├── GeneratorExit
# └── Exception
# ├── ValueError
# ├── TypeError
# ├── KeyError
# ├── IndexError
# ├── FileNotFoundError (subclass of OSError)
# ├── ZeroDivisionError (subclass of ArithmeticError)
# ├── AttributeError
# ├── ImportError
# │ └── ModuleNotFoundError
# ├── RuntimeError
# │ └── RecursionError
# └── StopIteration
# You can inspect the hierarchy:
print(ValueError.__mro__)
# (ValueError, Exception, BaseException, object)
Basic Exception Handling
# try/except catches exceptions and prevents crashes
try:
number = int(input("Enter a number: "))
result = 100 / number
print(f"Result: {result}")
except ValueError:
print("That is not a valid number!")
except ZeroDivisionError:
print("Cannot divide by zero!")
# Catch the exception object for details
try:
data = [1, 2, 3]
print(data[10])
except IndexError as e:
print(f"Error: {e}") # list index out of range
print(f"Type: {type(e)}") # <class 'IndexError'>
Common Exception Types and When They Occur
| Exception | When It Occurs | Example |
|---|---|---|
ValueError | Wrong value for the type | int("abc") |
TypeError | Wrong type for operation | "a" + 1 |
KeyError | Dict key not found | d["missing"] |
IndexError | List index out of range | [1,2][5] |
FileNotFoundError | File does not exist | open("x.txt") |
ZeroDivisionError | Division by zero | 10/0 |
AttributeError | Object has no attribute | None.upper() |
ImportError | Module not found | import fake_lib |
PermissionError | No permission for operation | open("/etc/shadow") |
Raising Exceptions
# Use raise to throw an exception intentionally
def set_age(age):
if age < 0:
raise ValueError("Age cannot be negative")
if age > 150:
raise ValueError("Age seems unrealistic")
return age
try:
set_age(-5)
except ValueError as e:
print(e) # Age cannot be negative
# Re-raise an exception after logging
try:
result = risky_operation()
except Exception as e:
print(f"Error occurred: {e}")
raise # re-raises the same exception
- Exceptions are runtime errors — different from syntax errors which prevent execution.
- Use
try/exceptto handle exceptions gracefully instead of crashing. - Catch specific exceptions (not bare
except:) to avoid hiding bugs. - Use
raiseto signal errors in your own functions with descriptive messages. - All exceptions form a hierarchy — catching a parent catches all its children.
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.