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Coding Dice Games: Explore Probability Through Play (Python | Grades 5–10+)
Looking for a meaningful way to teach coding AND probability—without worksheets that fall flat? This ready-to-use resource engages students through interactive Python-based dice games, helping them build, test, and understand key concepts through play. What Students Will Learn: Python fundamentals (variables, loops, conditionals, functions)Randomization and simulationTheoretical vs. experimental probabilityIndependent vs. dependent eventsStrategic thinking and decision-makingWhat’s Included:
5th - 11th
Computer Science - Technology, Other (Math), Other (Science)
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+)
Math × Python - FULL Series - Coding Linear Relations (8 x 2 Guides included)
Teaching in the Intermediate Grades?!I’m thrilled to introduce this Python + Linear Relations series on Teachers Pay Teachers—a seven-project journey that blends coding with algebraic thinking. From generating random lines to building an interactive tutor with success-rate analytics and live graphs, your students will: Practice pseudocode planning Write & test Python functions Handle input errors like pros Visualize data with Matplotlib & NumPy Reflect on their own learning Perfect for cl
7th - 9th, Adult Education
Algebra, Computer Science - Technology, Other (Math)
Telling time - Rabbit and Turtle Clock Craft
This clock activity uses the story of the rabbit and the turtle to help students clearly understand the difference between the hour hand and the minute hand. Many young learners find it confusing that when the minute hand makes one full turn, the hour hand also moves slightly. Through this storytelling, students can easily see that the rabbit (minute hand) moves much faster than the turtle (hour hand) — making it a fun and meaningful way to learn how clocks work! Included in this kit: ~p. 1-3 H
K - 2nd
Applied Math, Other (Math), Telling Time
Missing Addends with Turtles Addition within 12
Find the missing addend to complete the addition equation. Sums within 12.
Kindergarten
Basic Operations, Numbers, Other (Math)
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)
Count and Color Turtles Numbers 6-10
This modified worksheet is made for students who are on a kindergarten level who may be on a lower level or students with disabilities. The directions are to color how many turtles each group is asking for. These task cards go along with the lesson “Count and Sequence Numbers to 10 With Objects and a Written Number”. You can find more worksheets and activities for this lesson and more on my page.
Kindergarten
Numbers, Other (Math)
CCSS
K.CC.B.4
, K.CC.B.4a
, K.CC.B.4b
+2
Also included in: Representing Numbers 6-10 With Objects and a Written Number
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 6 - BOTH Guides)
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)
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 5 - Teacher 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 t
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)
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