This document outlines a lesson plan for an introduction to Python programming, detailing key concepts like code syntax, integrated development environments, and the advantages of Python over C. It highlights Python's applications in web development, software development, and system scripting, while presenting Google Colab as a tool for writing and executing Python in a browser. The document also emphasizes Python's user-friendly nature and its support for multiple programming paradigms.

1. ECSF6320305
Python Programming
Ammar Azlan

2. Lesson Outline
• Introduction to computer programming
• Introduction to Python
• Python vs C
• Introduction to Google Colab

3. Introduction to Computer Programming
• code or source code – the sequence of instructions in a program.
• syntax – the set of legal structures and commands that can be used in
a particular programming language.
• output – the messages printed to the user by a program.
• IDE – Integrated Development Environment is a software application
that helps programmers develop software code efficiently.
• console – the text box onto which output is printed.
• some IDE pop up the console as an external window while others contain
their own console window

4. Introduction to Python
• A popular programming language.
• Created by Guido can Rossum.
• Released in 1991.
• It is used for
• Web development (server-side)
• Software development
• Mathematics
• System scripting

5. Introduction to Python
• Why Python?
• Support multiple platforms
• Windows, Mac, Linux, Raspberry Pi, etc
• High level language
• simple syntax, similar to English language
• Fewer lines
• Interpreter language
• Can be executed as soon as it is written
• Accelerate prototyping
• Support multiple model
• Procedural, object-oriented, functional

6. Python vs C
Python C
Slower Faster
Object-oriented Procedural
Pointer functionality not available Pointer functionality available
Interpreted Compiled
Dynamic Static

7. Introduction to Google Colab
• Colab or “Colaboratory” allows you to write and execute Python in
your browser
• No configuration
• Free access to GPUs
• Easy sharing
• Colab notebook
• Interactive environment to write and execute code
• Support multiple data format
• Executable code, rich text, images, HTML, LaTeX etc
• Jupyter notebooks that are hosted by Colab