Private Python Tutoring | Bring your Own or Learn from Scratch

Students may bring Python programs that they are already developing and receive help with coding and debugging.

Alternatively, learners may progress through a series of lessons that introduce the most important Python skills and learn to code with fun projects like custom Mad-Libs, a Pokemon-style Monster Battler, and more!

Lesson 1 - Introduction to Python
 - How to use Google Colab
 - What Python looks like
 - "Strings"

Lesson 2 - Input and Output
 - Print() and Input()
 - Variables()
 - Project 1: Mad Libs

Lesson 3 - True or False
 - "Booleans"
 - Comparing strings
 - If statements

Lesson 4 - Conditional Code
 - Tabs and territory
 - "Else" and "elif"
 - Project 2: Quizzes

Lesson 5 - Numbers and Math
 - "Integers"
 - Math operations
 - Math with variables

Lesson 6 - To Infinity and Beyond!
 - Comparing numbers
 - "While" loops
 - Project 3: Monster Battler, version 1

Lesson 7 - Making and Using Lists
 - Lists
 - Indexing
 - Adding and removing

Lesson 8 - Special List Functions
 - "Tuples"
 - Sorted and range
 - Project 4: Shopping Mall, version 1

Lesson 9 - Counting and Functions
 - "For" loops
 - What is a function?
 - Creating a function

Lesson 10 - Custom Functions
 - Parameters
 - Return
 - Project 5: Fishing Minigame

Lesson 11 - Fractional Numbers
 - "Floats"
 - Math with floating points
 - Intro to modules

Lesson 12 -  Randomness
 - The "random" module
 - Randint, random, and choice
 - Project 6: Shopping Mall, version 2

Lesson 13 - So Many Types
 - Types review
 - Custom types: Classes
 - The __init__ function

Lesson 14 - Creating Objects from Classes
 - Creating an object
 - Class functions
 - Project 7: Pet Simulator

Lessons 15 & 16 - Final Project: Monster Battler!

This lesson plan is organized so that one topic will be covered during a 25-minute session. However, the content that is taught in each class is flexible and tailored to the students, so the pace may be sped up or slowed down to prioritize the students' learning and enjoyment!

Students will need to be able to use Google Colab for these lessons. If the student or guardian has experience using Jupyter notebooks or another Python editor, these can be used instead of Colab.