This document is a beginner's guide to Python, highlighting its features, syntax, and key uses such as web development and data science. It covers essential concepts like variables, data types, control flow, and popular libraries, while encouraging learners to start with simple projects. The guide also suggests tools for installation and coding environments to support new Python users.

1. Python Basics: A Beginner's
Guide
Unlock the Power of Programming
Presented by Alamgir Hossain

2. What is Python?
• - High-level, general-purpose programming
language.
• - Created by Guido van Rossum in 1991.
• - Known for its simplicity and readability.
• - Widely used in:
• - Web Development
• - Data Science
• - Machine Learning
• - Automation

3. Key Features
• - Easy to Learn: Beginner-friendly syntax.
• - Cross-platform: Runs on Windows, macOS,
and Linux.
• - Rich Libraries: Includes NumPy, Pandas, and
more.
• - Interpreted: Executes line-by-line, simplifying
debugging.
• - Community Support: Extensive online
resources.

4. Python Syntax
• - Simple and Clear:
• Example: Printing “Hello, World!”
• ```python
• print("Hello, World!")
• ```
• - No need for semicolons (;) or braces ({}).
• - Indentation matters!

5. Variables and Data Types
• - Variables: Containers for storing data.
• Example:
• ```python
• name = "Alamgir"
• age = 24
• ```
• - Data Types:
• - Numbers: int, float
• - Strings: "text"

6. Control Flow
• - Conditional Statements:
• ```python
• if age > 18:
• print("Adult")
• else:
• print("Minor")
• ```
• - Loops: Repeat tasks.
• ```python

7. Functions
• - Reusable blocks of code.
• Example:
• ```python
• def greet(name):
• return f"Hello, {name}!"
• print(greet("Alamgir"))
• ```

8. Popular Libraries
• - Data Analysis: Pandas, NumPy
• - Visualization: Matplotlib, Seaborn
• - Web Development: Flask, Django
• - Machine Learning: TensorFlow, PyTorch

9. Why Learn Python?
• - Versatile and beginner-friendly.
• - In-demand skill for jobs in tech.
• - Helps automate repetitive tasks.

10. Getting Started
• - Install Python: python.org
• - IDEs:
• - PyCharm
• - VS Code
• - Jupyter Notebook
• - Practice: Start small and build projects!

11. Thank You!
• - Questions?
• - Contact: Alamgir Hossain