Python For Beginners: Start Your Journey

The Python Programming curriculum is a one-semester course covering topics typically found in introductory computer programming (coding) courses. Other introductory programming courses are not required; students merely need to have typical computer usage skills prior to starting this course.

TEACHING STRATEGIES

The course material is designed to appeal to a variety of students, from traditional learners who thrive on written text to audio-visual students who enjoy a multi-media format. All content is delivered through an online system that allows students to work seamlessly both in the classroom and at home.

The main chapters concentrate on Python programming and computer science topics. Certain states may require additional topics ranging from computing ethics and security to career exploration to the impact of computers on modern society. The course contains additional supplemental chapters at the end that can optionally be used to meet common state requirements. Teachers may choose to assign Supplemental Lessons as desired to meet state standards or student interest.

The final “Creative Project” is optional and can be completed in small groups

COURSE PLANNER

Some classes may move faster or slower than the suggested pace.

The planner assumes students are working daily with approximately 45 to 60 minutes of class time. In most cases, the planner estimates one day per lesson (including the lesson quiz), one day per graded chapter activity (lab), and one day per chapter test. Some larger labs are assigned more time.

READING AND OBJECTIVES

Chapter One: Fundamentals of Python

• Introduction to Python
• Running Python Programs
• Writing Python Code

• Data Types and Variables
• Using Numeric Variables
• Using String Variables

• Printing with Parameters
• Getting Input from a User
• String Formatting

• Logical Expressions
• The “if” Statement
• Logical Operators
• More Complex Expressions

• Types of Errors
• Troubleshooting Tools
• Using the Python Debugger

• Lists and Tuples
• List Functions
• “For” Loops
• “While” Loops

• Dates and Times
• Advanced Data and Time Management
• Random Numbers
• The Math Library

• Character Data
• String Functions
• Input Validation with “try / except”

• Writing and Calling Functions
• Function Inputs and Outputs
• Local and Global Scope

• Thinking about Objects
• Class Variables and Methods
• Managing Class Files

Chapter Twelve: Food Fight Project

• Introducing “Food Fight”

• Project Life-cycles and teams Coding Testing

• Installing Python
• Managing Projects
• Using the Python IDE

• Global Computing Issues
• Managing Your Digital Identity
• Impact of Computing
• Artificial Intelligence

LOCATION

ONLINE – Students will be having fun learning movie making with scratch at the comfort of their home. Zoom link will be provided

Optional: Adults can stay or take a breather.