Python Course

Master the basics of Python and build amazing automations.

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Slide 1: Introduction to Python Programming

  • Introduction to Python Programming
  • Learn the Basics and Syntax
  • SOT

Slide 2: What is Python?

  • Python is a high-level, interpreted programming language.
  • Emphasizes code readability and simplicity.
  • Widely used for web development, data science, automation, etc.

Slide 3: A Brief History of Python

  • Developed by Guido van Rossum and first released in 1991.
  • Inspired by ABC language and influenced by C, Java, and Perl.
  • Open-source and maintained by the Python Software Foundation.
  • Named after "Monty Python's Flying Circus".

Slide 4: Python Versions

  • Python 2.x: Launched in 2000, deprecated in 2020.
  • Python 3.x: Introduced in 2008, major upgrade, current standard.

Slide 5: Why Choose Python?

  • Easy to learn for beginners due to its simple syntax.
  • Large community and rich ecosystem of libraries and frameworks.
  • Cross-platform compatibility (Windows, Mac, Linux).
  • High productivity and rapid development cycles.

Slide 6: Python Installation

  • How to install Python from python.org.
  • Installing Python on different operating systems (Windows, macOS, Linux).
  • Introducing Python IDEs: VS Code, PyCharm, and Jupyter Notebook.

Slide 7: Your First Python Program

  • Writing "Hello, World!" in Python.
  • print("Hello, World!")

Slide 8: Python Syntax Basics

  • Python syntax is clean and straightforward.
  • No need for semicolons at the end of statements.
  • Indentation is used to define blocks of code.

Slide 9: Variables in Python

  • Declaring variables without explicitly defining their type.
  • x = 5
    name = "John"

Slide 10: Data Types in Python

  • Common data types: int, float, str, bool.
  • Dynamic typing and type checking using the type() function.
  • age = 25
    price = 19.99
    is_valid = True

Slide 11: Operators in Python

  • Arithmetic operators: +, -, *, /, %.
  • Comparison operators: ==, !=, >, <.
  • Logical operators: and, or, not.

Slide 12: Input and Output

  • Using input() to get user input and print() for output.
  • name = input("Enter your name: ")
    print(f"Hello, {name}!")

Slide 13: Control Flow (if-else)

  • Decision making with if, elif, and else.
  • if age >= 18:
        print("Adult")
    else:
        print("Minor")

Slide 14: Loops in Python (for and while)

  • Using for loops and while loops for repetition.
  • for i in range(5):
        print(i)

    count = 0
    while count < 5:
        print(count)
        count += 1

Slide 15: Functions in Python

  • Defining reusable code blocks using functions.
  • def greet(name):
        return f"Hello, {name}!"

    print(greet("Alice"))

Slide 16: Lists in Python

  • Working with collections using lists.
  • fruits = ["apple", "banana", "cherry"]
    fruits.append("orange")
    print(fruits)

Slide 17: Dictionaries in Python

  • Storing key-value pairs with dictionaries.
  • person = {"name": "John", "age": 30}
    print(person["name"])

Slide 18: Python Libraries

  • Overview of popular libraries: NumPy, Pandas, Matplotlib.
  • Brief description of their usage in data science and web development.

Slide 19: Error Handling

  • Managing exceptions using try, except, and finally.
  • try:
        num = int(input("Enter a number: "))
    except ValueError:
        print("Invalid input!")

Slide 20: Conclusion

  • Recap of the main points: History, Syntax, Control Flow, Data Structures.
  • Encourage further learning: online resources, practice, and projects.
  • Thank you!

CONGRATULATIONS

  • You have successfully completed the Python course