Introduction to Python Programming

Jul 1, 2024

Python Programming Lecture

Overview

  • Python is a versatile and popular programming language suitable for beginners.
  • Offers efficient high-level data structures and effective object-oriented programming.

Agenda

  1. Introduction to Python
    • Overview of Python
    • Steps to become a Python developer
  2. Installation of Python IDE
    • Step-by-step installation
    • Running first Python program across various IDEs
  3. Python Basics
    • Comments, variables, data types, and operators
  4. Popular Python Libraries
    • NumPy and SciPy
  5. Advanced Concepts
    • File handling and functions
    • Object-oriented programming: classes and inheritance
  6. Web Development
    • Web scraping and frameworks: Django, Flask, Web2py

Introduction to Python

  • Ranked number one programming language (TIOBE index)
  • Used by major companies: Pinterest, Spotify, YouTube
  • Python's simple syntax and dynamic typing make it ideal for scripting and rapid application development.

Why Use Python?

  1. Applications: Web design, game design, UI/UX, data science, machine learning, etc.
  2. Simplified Syntax: Easier compared to Java or C++.
  3. Well-built Packages: Replace code lines with single package functions.
  4. Supportive Community: Extensive support available.

Python Installation

  • Download from the official Python website.
  • Installation involves setting path, customizing installation, and verifying via command prompt.

Running a Simple Program (PyCharm)

  • Create new project and virtual environment.
  • Write and run a "Hello World" program.
  • Demonstrates usage of print function.

Python Programming Basics

  • Variables: Storage of values that can change.
  • Operators: Assignment, arithmetic, comparison, logical, identity, membership, and bitwise.
  • Data Types: Integer, float, string, list, dictionary, tuple, set.

Python Libraries

  • NumPy and SciPy: Libraries for scientific computing.

Advanced Python Concepts

  • File Handling: Opening, reading, writing, appending files.
  • Functions: Reusability, defined using 'def', lambda functions for single-line definitions.
  • Object-Oriented Programming: Classes, inheritance, encapsulation.

Web Development with Python

  • Web Scraping: Extracting data from websites.
  • Frameworks: Django, Flask, Web2py for web application development.