The document is an introduction to Python programming, covering its history, versatile applications, and essential concepts like data types and operators. Python, developed by Guido van Rossum in the late 1980s, is easy to learn, supports multiple programming paradigms, and is widely used in various domains such as web development, data science, and automation. Key features of Python include its use of indentation for code blocks, a variety of data types, and numerous built-in operators.

1. Python Programming - Unit 1
Introduction to Python

2. Introduction to Python
• Python is a general-purpose, high-level
programming language.
• It supports multiple programming paradigms
like OOP, procedural, and functional
programming.

3. History of Python
• • Developed by Guido van Rossum in late
1980s.
• • First released in February 1991.
• • Named after Monty Python's Flying Circus.

4. Why Python?
• • Easy to learn and use.
• • Versatile for different applications.
• • Dynamic typing and interpreted nature.

5. Applications of Python
• • Web Development (Django, Flask)
• • Data Science & AI
• • Game Development
• • IoT and Automation

6. Writing & Executing Python
Programs
• 1. Open IDLE.
• 2. Create a new file.
• 3. Write Python script.
• 4. Save with .py extension.
• 5. Run using F5.

7. Identifiers & Reserved Words
• • Identifiers are names given to variables,
functions, classes, etc.
• • Must start with a letter or underscore (_),
but not a digit.
• • Python has 35 reserved words.

8. Python Indentation
• • Uses indentation instead of braces {}.
• • Typically, 4 spaces per indentation level.
• • Essential for defining blocks of code.

9. Data Types in Python
• • Numeric: int, float, complex
• • Sequence: list, tuple, range
• • Text: str
• • Set: set, frozenset
• • Mapping: dict

10. Operators in Python
• • Arithmetic: +, -, *, /, %
• • Relational: >, <, >=, <=
• • Logical: and, or, not
• • Bitwise: &, |, ^, ~, <<, >>

11. Special Operators & Type
Conversion
• • Identity Operators: is, is not
• • Membership Operators: in, not in
• • Type conversion using int(), float(), str(), etc.