Python Coding II

Learn Python to solve real-world problems.

Grades 8+

Description

A deeper look at Python for intermediate or advanced coders in upper middle or high school. This course is tailored for students who have completed introductory visual programming courses on Tynker and want to advance to text programming in Python. Students will start with simple input-output statements and conditional logic, then progress to using more complex data structures to build algorithms. With hands-on coding practice, students learn to design, build, and debug programs – skills that any programmer needs to solve real-world problems. Students who successfully complete this lesson plan will demonstrate a strong mastery of Python syntax and functionality, as well as the ability to independently solve advanced coding problems.

Topics Covered: Python syntax, variables, data types, math operators, boolean logic, Turtle graphics, branching, while loops, strings, lists, for loops, functions, dictionaries, classes and objects, and recursion.

What Students Learn

  • Day 1: Syntax, I/O, Variables, Data Types
  • Day 2: Operators, Boolean Logic, Turtle Graphics
  • Day 3: Branching, While Loops, Strings
  • Day 4: Lists, For Loops, Functions
  • Day 5: Dictionaries, Objects, Classes, Recursion

Technical Requirements

* Online courses and lesson plans require a desktop computer, laptop computer, Chromebook, or Netbook with Internet connection and a Chrome (29+), Firefox (30+), Safari (7+), or Internet Explorer (10+) browser. No downloads required.
Python
Advanced Course
Prerequisites
No previous coding experience required.
Recommended for All ages.
Course includes
  • 15 lessons
  • 129 activities
  • Enhanced Creativity Tools
  • Automatic Assessment
  • Tutorials and Reviews
  • Coding Puzzles
  • DIY Projects
  • Quizzes
  • Answer Keys
1. Welcome to Python
7 activities
Use the computer's built-in function to display output, and practice writing correct and readable programs.
2. Variables and I/O
7 activities
Store values in named locations in a computer's memory.
3. Data types
9 activities
Define new types of data as a collection of functions and values.
4. Math Operators
11 activities
Use mathematical symbols to calculate results.
5. Boolean Logic
8 activities
Use logic operators to evaluate logical expressions.
6. Turtle Graphics
9 activities
Use the turtle library to produce graphics and animations.
7. Branching
9 activities
Use if, elif, and else statements to control the flow of instructions.
8. While Loops
8 activities
Use while statements to repeat instructions.
9. Strings
9 activities
Text in Python
10. Lists
15 activities
A list is a sequence of values.
11. For Loops
9 activities
Use for-loop statements to repeat instructions and iterate over lists.
12. Functions
8 activities
Define custom functions to organize programs
13. Dictionaries
6 activities
Define new types of data as a collection of functions and values.
14. Classes and Objects
7 activities
Define new types of data as a collection of functions and values.
15. Recursion
6 activities
Recursion is a problem-solving technique where a solution is expressed as smaller instances of the problem.