Python Turtle
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Learn Python Coding Bundle | Name Generator + Number Games (Grades 5–7+)
Introduce your students to Python programming through engaging coding projects that combine creativity, problem-solving, and game design. This bundle includes two scaffolded Python resources that guide students through a series of hands-on coding challenges. Students learn to manipulate text, work with numbers, and build interactive programs using core programming concepts such as variables, lists, loops, conditionals, functions, and user input. Across multiple projects, students gradually build
5th - 10th
Computer Science - Technology, Other (Math)
Learn Python Coding with Number Games | Grades 5–7+
Help your students build real Python programming skills through two engaging number-based coding challenges! This resource guides students through two scaffolded projects that explore lists, loops, conditionals, functions, and user input--all through interactive number games. Students will: Generate and analyze random number lists Identify even numbers using conditionals Use loops to process data Create and call functions Build complete "Number Sort" and "Guess the Number" games in Python T
5th - 10th
Computer Science - Technology, Other (Math)
Also included in: Learn Python Coding Bundle | Name Generator + Number Games (Grades 5–7+)
Turtle Tracking with Coordinate Grids PowerPoint | Math Activity Grade 5
Make coordinate plane practice exciting with this interactive Turtle Tracking with Coordinate Grids PowerPoint! This engaging math resource includes 20 days of turtle adventures where students plot a new ordered pair each day on a coordinate grid. Perfect for upper elementary math, this coordinate graphing activity turns daily practice into a fun, story-based experience students look forward to each morning. What’s Included: • Interactive PowerPoint with 20 days of turtle tracking • A new or
4th - 6th
Graphing, Math Test Prep, Other (Math)
CCSS
5.G.A.1
Two Variable Statistics with Python
This is a Unit on Two Variable Variable Statistics using the free computer programming language Python. The unit features 6 lessons, 2 quizzes, and one test. Each lesson has a student google document, a teacher lesson plan, a google slides with help videos for each lesson, and Python Code for the lesson. The lessons covers two way tables, relative frequency tables, associations with categorical data, scatterplots and lines of best fit, fitting linear models, and residuals.
7th - 12th
Computer Science - Technology, Math
CCSS
HSS-ID.B.5
, HSS-ID.B.6
, HSS-ID.B.6a
+4
Math x Python Series - Coding Linear Relations (Project 7 - BOTH Guides)
Empower students in the Intermediate Grades with “Project 7: Data Handling with Pandas and Export to CSV”—a set of teacher and student guides that seamlessly extend your linear‐relations Python tutor into real‐world data analysis. Why You’ll Love These Resources:Turn Code into Data Stories: Take learners beyond plotting points—now they collect each round’s results, build a Pandas DataFrame, generate descriptive statistics, and export a CSV for deeper exploration. End‐to‐End Support: The Teache
7th - 9th, Adult Education
Algebra, Computer Science - Technology, Other (Math)
Math x Python Series - Coding Linear Relations (Project 8 Guides - BUNDLE)
Project 8: Enhanced Graphing with Matplotlib – Complete Lesson BundleEquip your intermediate grade learners with a turnkey coding and math analysis experience. This bundle includes both the Teacher Guide and Student Guide—fully aligned to Ontario MTH1W C2—and everything you need to: Teach & Code: Ready-to-use lesson flow, live-coding scripts, pseudocode planning, and sample outputs. Visualize Error: Students implement and plot residual lines, calculate prediction accuracy, and annotate graphs.
7th - 9th, Adult Education
Algebra, Computer Science - Technology, Other (Math)
One Variable Statistics with Python Computer Programming
This is a Unit on Variable Statistics using the free computer programming language Python which is available free using Google Colaboratory. The unit features 8 lessons, 2 quizzes, and one test. Each lesson has a student google document, a teacher lesson plan, a google slides with help videos for each lesson, and a python notebook with Python Code for the lesson written in Google Colaboratory. The lessons cover and introduction to Python Programming, Data Types, Numeric Data Visualizations, O
7th - 12th
Computer Science - Technology, Math
CCSS
HSS-ID.A.1
, HSS-ID.A.2
, HSS-ID.A.3
Boom™ Cards Turtles Subtract Movable Flowers to 20 with Tens Frames Grade 2
A turtle is a shell-ebrity! In Boom™ Cards Turtles Subtract Movable Flowers to 20 with Tens Frames Grade 2, learners answer 15 questions. Learners drag and drop flowers onto fun turtle tens frames, type in an answer and press submit. ✔️This assignment can be used as whole group teaching, a math center station and interventions. ❤️ What teachers are saying!✔️ Lori C. says, "Love to progress monitor with this activity. Thank you."❤️This math lesson is a perfect way to enhance subtraction skills
1st - 3rd
Arithmetic, Basic Operations, Math
CCSS
2.OA.B.2
, MP4
, MP5
+1
Storybook STEAM: Turtle and Tortoise Are Not Friends Stop Motion
Explore stop motion videos and shapes through this engaging project! Great for math projects, end or beginning of the year activities, STEAM centres, library activities, or classroom reward days! Rubrics inspired by the ISTE Standards for Students. Students will read Turtle and Tortoise Are Not Friends, then research turtles, explore shapes and design, and create a stop motion video. This project includes: 3 lesson plan options: STEAM project, Kinder math, 1st grade math2 Planning Page versions
K - 3rd
Computer Science - Technology, Math, Reading
CCSS
K.G.A.1
, 1.G.A.1
, 1.G.A.2
Also included in: Ultimate End of Year STEAM Bundle
Math x Python Series - Coding Linear Relations (Project 8 - Student Guide)
Empower Your Students with Hands-On Data Visualization!Unlock deeper understanding of linear relationships and prediction error with the Project 8 Student Guide: Enhanced Graphing with Matplotlib—a student-friendly roadmap that transforms abstract algebra into interactive, real-world analysis. Why Teachers & Students Will Love This Guide Student-Centered Design Clear, Step-by-Step Instructions: Guided pseudocode planning and code snippets walk learners through each function, reducing frus
7th - 9th, Adult Education
Algebra, Computer Science - Technology, Other (Math)
Math x Python Series - Coding Linear Relations (Project 8 - Teacher Guide)
Engage Your Grade 9 Students with Data-Driven Math Coding!Bring real-world analytics into your classroom with Project 8: Enhanced Graphing with Matplotlib—a ready-to-use, curriculum-aligned coding lesson that deepens students’ understanding of linear relations by having them compute, visualize, and interpret residuals. Perfect for any teacher looking to integrate Python programming, data visualization, and Ontario’s MTH1W coding standards into a single, hands-on activity. Why This Resource M
7th - 9th, Adult Education
Algebra, Computer Science - Technology, Other (Math)
Math x Python Series - Coding Linear Relations (Project 7 - Student Guide)
Empower students in the Intermediate Grades with “Project 7: Data Handling with Pandas and Export to CSV”—a set of teacher and student (THIS LISTING) guides that seamlessly extend your linear‐relations Python tutor into real‐world data analysis. Why You’ll Love These Resources:Turn Code into Data Stories: Take learners beyond plotting points—now they collect each round’s results, build a Pandas DataFrame, generate descriptive statistics, and export a CSV for deeper exploration. End‐to‐End Supp
7th - 9th, Adult Education
Algebra, Computer Science - Technology, Other (Math)
Math x Python Series - Coding Linear Relations (Project 7 - Teacher Guide)
Empower students in the Intermediate Grades with “Project 7: Data Handling with Pandas and Export to CSV”—a set of teacher (THIS LISTING) and student guides that seamlessly extend your linear‐relations Python tutor into real‐world data analysis. Why You’ll Love These ResourcesTurn Code into Data Stories: Take learners beyond plotting points—now they collect each round’s results, build a Pandas DataFrame, generate descriptive statistics, and export a CSV for deeper exploration. End‐to‐End Support
7th - 9th, Adult Education
Algebra, Computer Science - Technology, Other (Math)
Math × Python Series - Coding Linear Relations (Project 5 - BOTH Guides)
Interactive Linear Relation TutorStudents take the skills from Projects 1–4 and build a fully interactive tutor that challenges their understanding of lines and immediately visualizes each question. In Project 5, learners generate random linear equations, calculate and classify points, and see their work plotted—all in a reusable Python program. What Students Will Do: Generate Random Equations & Points- create y=ax+b and pick a test point (x,y).Prompt & Validate y-Value Answers- Ask users to co
7th - 9th, Adult Education
Algebra, Computer Science - Technology, Other (Math)
Math × Python Series - Coding Linear Relations (Project 4 - BOTH Guides)
Visualizing Points and Linear Relations with CodeBring coordinate geometry to life! In Project 4, students write a Python program that randomly generates a line and a test point, challenges them to predict its position, and then plots both on a graph—reinforcing the link between algebraic equations and their visual representations. What Students Will Do: Generate Random Equations & Points- Create a line y=ax+b and a test point (x,y).Predict & Compare- Calculate the correct y for a given x using
7th - 9th, Adult Education
Algebra, Computer Science - Technology, Other (Math)
Math × Python Series - Coding Linear Relations (Project 3 - BOTH Guides)
Building an Interactive Linear Relations Explorer with Loops & User InputTake your students’ coding and math skills to the next level by transforming their line-testing program into a fully interactive exploration tool. In Project 3, learners will harness loops and user-driven input to test as many points as they like, drawing on everything they’ve mastered in Projects 1 and 2. What Students Will Do:Design Dynamic Pseudocode-Plan a while-loop structure that repeatedly:Prompts for a test pointCa
7th - 9th, Adult Education
Algebra, Computer Science - Technology, Other (Math)
Math × Python Series - Coding Linear Relations (Project 2 - BOTH Guides)
Continue your students’ journey from simple linear equations to a more dynamic, inquiry-driven program. In Project 2, learners build on Project 1 by encapsulating logic in functions, working with floating-point inputs, and exploring randomness—deepening both their coding fluency and their mathematical understanding of linear relations. What Students Will Do:Write & Use Functions-Define a function that returns the corresponding y value on a predefined line.-Create a function that safely parses s
7th - 9th, Adult Education
Algebra, Computer Science - Technology, Other (Math)
Math × Python Series - Coding Linear Relations (Project 1 - BOTH Guides)
( Both Teacher and Student Guides included) Bring together mathematics and coding in a seamless, curriculum-aligned learning experience! This first installment of a six-part project series introduces Grade 9 students to Python programming through the context of linear relations. Each project builds on the last, guiding learners—and their teachers—step by step toward deeper computational thinking and mathematical understanding. In Project 1: Exploring Linear Relations with Python, students will
7th - 9th, Adult Education
Algebra, Computer Science - Technology, Other (Math)
Math × Python Series - Coding Linear Relations (Project 6 - Student Guide)
Interactive Linear Relations Tutor – Part IICap off your Python‐meets‐algebra unit with a fully interactive tutor that not only tests students on linear equations but tracks their performance and visualizes results. In Project 6, learners build a “linear relations tutor” that generates questions, validates answers, scores attempts, provides personalized feedback, and plots each problem on a graph. What Students Will Do: Generate Random Equations- Create a line y=ax+b each round. Prompt for y‐Va
7th - 9th, Adult Education
Algebra, Computer Science - Technology, Other (Math)
Also included in: Math × Python Series - Coding Linear Relations (Project 6 - BOTH Guides)
Math × Python Series - Coding Linear Relations (Project 6 - Teacher Guide)
Interactive Linear Relations Tutor – Part IICap off your Python‐meets‐algebra unit with a fully interactive tutor that not only tests students on linear equations but tracks their performance and visualizes results. In Project 6, learners build a “linear relations tutor” that generates questions, validates answers, scores attempts, provides personalized feedback, and plots each problem on a graph. What Students Will Do: Generate Random Equations- Create a line y=ax+b each round. Prompt for y‐V
7th - 9th, Adult Education
Algebra, Computer Science - Technology, Other (Math)
Also included in: Math × Python Series - Coding Linear Relations (Project 6 - BOTH Guides)
Math × Python Series - Coding Linear Relations (Project 5 - Student Guide)
Interactive Linear Relation TutorStudents take the skills from Projects 1–4 and build a fully interactive tutor that challenges their understanding of lines and immediately visualizes each question. In Project 5, learners generate random linear equations, calculate and classify points, and see their work plotted—all in a reusable Python program. What Students Will Do: Generate Random Equations & Points- create y=ax+b and pick a test point (x,y).Prompt & Validate y-Value Answers- Ask users to co
7th - 9th, Adult Education
Algebra, Computer Science - Technology, Other (Math)
Also included in: Math × Python Series - Coding Linear Relations (Project 5 - BOTH Guides)
Math × Python Series - Coding Linear Relations (Project 4 - Student Guide)
Visualizing Points and Linear Relations with CodeBring coordinate geometry to life! In Project 4, students write a Python program that randomly generates a line and a test point, challenges them to predict its position, and then plots both on a graph—reinforcing the link between algebraic equations and their visual representations. What Students Will Do: Generate Random Equations & Points- Create a line y=ax+b and a test point (x,y).Predict & Compare- Calculate the correct y for a given x using
7th - 9th, Adult Education
Algebra, Computer Science - Technology, Other (Math)
Also included in: Math × Python Series - Coding Linear Relations (Project 4 - BOTH Guides)
Math × Python Series - Coding Linear Relations (Project 4 - Teacher Guide)
Visualizing Points and Linear Relations with CodeBring coordinate geometry to life! In Project 4, students write a Python program that randomly generates a line and a test point, challenges them to predict its position, and then plots both on a graph—reinforcing the link between algebraic equations and their visual representations. What Students Will Do: Generate Random Equations & Points- Create a line y=ax+b and a test point (x,y). Predict & Compare- Calculate the correct y for a given x
7th - 9th, Adult Education
Algebra, Computer Science - Technology, Other (Math)
Also included in: Math × Python Series - Coding Linear Relations (Project 4 - BOTH Guides)
Math × Python Series - Coding Linear Relations (Project 2 - Student Guide)
Continue your students’ journey from simple linear equations to a more dynamic, inquiry-driven program. In Project 2, learners build on Project 1 by encapsulating logic in functions, working with floating-point inputs, and exploring randomness—deepening both their coding fluency and their mathematical understanding of linear relations. What Students Will Do:Write & Use Functions-Define a function that returns the corresponding y value on a predefined line.-Create a function that safely parses s
7th - 9th, Adult Education
Algebra, Computer Science - Technology, Other (Math)
Also included in: Math × Python Series - Coding Linear Relations (Project 2 - BOTH Guides)
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