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Introduction_to_Python a great programming language | PPTX
Introduction to Python
 Overview of Python
 - High-level language
 - Interpreted & Object-oriented
 - Easy syntax, readability
 - Open source & widely used
History of Python
 Developed by Guido van Rossum in 1991
 Open-source, supported by Python Software Foundation
 Latest versions widely used: Python 3.x
Features of Python
 1. Simple & Easy to Learn
 2. Cross-platform
 3. Free & Open Source
 4. Rich Standard Library
 5. Dynamically Typed
Applications of Python
 1. Web Development
 2. Data Science
 3. Machine Learning
 4. Automation/Scripting
 5. Game Development
 6. IoT & More
Setting up Python
 Steps:
 1. Download from python.org
 2. Install Python 3.x
 3. Set Environment PATH
 4. Verify using 'python --version'
Python Data Types
 Basic Types:
 - int, float, complex
 - str, bool
 - list, tuple, set, dict
 Dynamic Typing feature in Python
Variables in Python
 Rules:
 - Must start with letter or underscore
 - Case-sensitive
 - Cannot use keywords
 Examples:
 x = 10
 y = 'Hello'
Operators in Python
 1. Arithmetic: + - * / % ** //
 2. Relational: == != > < >= <=
 3. Logical: and, or, not
 4. Assignment: =, +=, -=
 5. Membership & Identity
id() and type() functions
 id(): Returns memory location of object
 Example: id(x)
 type(): Returns datatype of object
 Example: type(x)
Coding Standards
 Follow PEP-8 Guidelines:
 - Meaningful variable names
 - Indentation: 4 spaces
 - Commenting & Documentation
 - Consistent Style
Input in Python
 Function: input()
 Always returns string
 Example:
 name = input('Enter name: ')
 print('Hello', name)
Output in Python
 Function: print()
 Supports multiple arguments, sep, end
 Example:
 print('Hello', name, sep='-', end='!')
Control Structures
 Decision Making & Loops
 - if, elif, else
 - for loop
 - while loop
 - Nested loops & decisions
If-Else Statement
 Syntax:
 if condition:
 statements
 else:
 statements
 Example: Check even or odd number
Elif Statement
 Syntax:
 if condition1:
 statements
 elif condition2:
 statements
 else:
 statements
 Used for multiple conditions
Nested If
 if condition1:
 if condition2:
 statements
 Example: Check if number is positive & even
Iteration: for loop
 for variable in sequence:
 statements
 Used to iterate over list, tuple, string
 Example: for i in range(5): print(i)
Iteration: while loop
 while condition:
 statements
 Example: Print numbers 1 to 10 using while loop
Break, Continue, Pass
 break: Exit loop immediately
 continue: Skip current iteration
 pass: Do nothing, placeholder
Summary
 Python Basics covered:
 - Introduction & Setup
 - Variables & Operators
 - id() & type()
 - Coding Standards
 - Input/Output
 - Control Structures

Introduction_to_Python a great programming language

  • 1.
    Introduction to Python Overview of Python  - High-level language  - Interpreted & Object-oriented  - Easy syntax, readability  - Open source & widely used
  • 2.
    History of Python Developed by Guido van Rossum in 1991  Open-source, supported by Python Software Foundation  Latest versions widely used: Python 3.x
  • 3.
    Features of Python 1. Simple & Easy to Learn  2. Cross-platform  3. Free & Open Source  4. Rich Standard Library  5. Dynamically Typed
  • 4.
    Applications of Python 1. Web Development  2. Data Science  3. Machine Learning  4. Automation/Scripting  5. Game Development  6. IoT & More
  • 5.
    Setting up Python Steps:  1. Download from python.org  2. Install Python 3.x  3. Set Environment PATH  4. Verify using 'python --version'
  • 6.
    Python Data Types Basic Types:  - int, float, complex  - str, bool  - list, tuple, set, dict  Dynamic Typing feature in Python
  • 7.
    Variables in Python Rules:  - Must start with letter or underscore  - Case-sensitive  - Cannot use keywords  Examples:  x = 10  y = 'Hello'
  • 8.
    Operators in Python 1. Arithmetic: + - * / % ** //  2. Relational: == != > < >= <=  3. Logical: and, or, not  4. Assignment: =, +=, -=  5. Membership & Identity
  • 9.
    id() and type()functions  id(): Returns memory location of object  Example: id(x)  type(): Returns datatype of object  Example: type(x)
  • 10.
    Coding Standards  FollowPEP-8 Guidelines:  - Meaningful variable names  - Indentation: 4 spaces  - Commenting & Documentation  - Consistent Style
  • 11.
    Input in Python Function: input()  Always returns string  Example:  name = input('Enter name: ')  print('Hello', name)
  • 12.
    Output in Python Function: print()  Supports multiple arguments, sep, end  Example:  print('Hello', name, sep='-', end='!')
  • 13.
    Control Structures  DecisionMaking & Loops  - if, elif, else  - for loop  - while loop  - Nested loops & decisions
  • 14.
    If-Else Statement  Syntax: if condition:  statements  else:  statements  Example: Check even or odd number
  • 15.
    Elif Statement  Syntax: if condition1:  statements  elif condition2:  statements  else:  statements  Used for multiple conditions
  • 16.
    Nested If  ifcondition1:  if condition2:  statements  Example: Check if number is positive & even
  • 17.
    Iteration: for loop for variable in sequence:  statements  Used to iterate over list, tuple, string  Example: for i in range(5): print(i)
  • 18.
    Iteration: while loop while condition:  statements  Example: Print numbers 1 to 10 using while loop
  • 19.
    Break, Continue, Pass break: Exit loop immediately  continue: Skip current iteration  pass: Do nothing, placeholder
  • 20.
    Summary  Python Basicscovered:  - Introduction & Setup  - Variables & Operators  - id() & type()  - Coding Standards  - Input/Output  - Control Structures