Beginning Python

Beginning Python

One full day course

Welcome to the "Beginning Python with Google Colab" one-day course! Python is a versatile and widely-used programming language that's well-suited for various applications, from web development to data analysis and artificial intelligence. By leveraging Google Colab, a powerful cloud-based tool, you'll be able to code and run Python programs efficiently, while also collaborating with others in real-time. This course aims to provide a comprehensive introduction to Python, equipping you with the fundamental skills to start writing Python programs confidently.

Learning Outcomes:

Upon completion of this course, participants will be able to:

• Understand the basics of Python programming.
• Write simple Python programs using variables, loops, and conditional statements.
• Work with Python data structures such as lists, dictionaries, and tuples.
• Create and manipulate functions to modularize code.
• Utilize Google Colab's features to improve programming efficiency.

Prerequisites:

• Basic computer skills.
• Familiarity with programming concepts is helpful but not required.
• A Google account to access Google Colab.

Course Outline:

• Introduction to Python and Google Colab (30 minutes)
  • Brief history and importance of Python
  • Overview of Python applications
  • Introduction to Google Colab
  • Creating and sharing notebooks
• Python Basics (1 hour)
  • Python syntax
  • Variables and data types
  • Basic arithmetic operations
  • Comments and docstrings
  • Practice exercises
• Control Structures (1 hour)
  • Conditional statements (if, elif, else)
  • Loops (for and while)
  • Loop control statements (break, continue, and pass)
  • Practice exercises

Lunch Break (1 hour)

• Python Data Structures (1.5 hours)
  • Lists
  • Tuples
  • Dictionaries
  • Sets
  • Common operations and methods
  • Practice exercises
• Functions (1.5 hours)
  • Defining and calling functions
  • Function arguments and return values
  • Anonymous functions (lambda)
  • Scope and lifetime of variables
  • Practice exercises
• Google Colab Tips and Tricks (30 minutes)
  • Code snippets
  • Collaborative editing
  • Markdown and rich text
  • Integrating Google Drive
  • Saving and exporting notebooks
• Course Summary and Next Steps (30 minutes)
  • Recap of key concepts
  • Recommendations for further learning
  • Q&A session