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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+)
2-Digit Turtle Head Multiplication
Turtle head multiplication strategy. There are 4 problems with a step by step checklist on each slide to help students as they solve each problem. The worksheet is on google slides and students can drag the turtle head, collar, and egg into their problem!
3rd - 5th
Basic Operations, Math
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 - 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)
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 3 - Student Guide)
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)
Also included in: Math × Python Series - Coding Linear Relations (Project 3 - BOTH Guides)
Math × Python Series - Coding Linear Relations (Project 3 - Teacher Guide)
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)
Also included in: Math × Python Series - Coding Linear Relations (Project 3 - 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)
Math × Python Series - Coding Linear Relations (Project 1 - Student Guide)
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 Connect math to code by translating the equa
7th - 9th, Adult Education
Algebra, Computer Science - Technology, Other (Math)
Also included in: Math × Python Series - Coding Linear Relations (Project 1 - BOTH Guides)
Analyzing Box Plots: Digital Activity
This independent activity gives 6th grade students a chance to explore and make sense of box plots using real data from sea turtle weights. Students will practice identifying parts of a box plot—like the median, quartiles, and range—while comparing different data sets. It’s a fun way to connect math to the real world and can be used for independent or partner work, as a warm-up, or extra practice. This activity is an easy, low-prep way for teachers to check students’ understanding of box plots.
6th
Applied Math, Statistics
CCSS
6.SP.A.3
, 6.SP.B.4
, 6.SP.B.5
+2
![Preview of Function Reading Practice [2.1 & 2.2] warm ups [CMU CSA CS1]](https://ecdn.teacherspayteachers.com/cdn-cgi/image/format=avif,quality=70,width=525,height=525,onerror=redirect/thumbitem/Function-Reading-Practice-2-1-2-2-warm-ups-CMU-CSA-CS1--14282932-1756065050/750f-14282932-1.jpg)
Function Reading Practice [2.1 & 2.2] warm ups [CMU CSA CS1]
These 3 warm up exercises allow student to piece together the use of substitution of parameter variables with argument values as they read through abstract python functions. Note to Teacher: Display the above code on the screen. Distribute blank canvases (half sheets) to the class. Allow 3 - 5 minutes to attempt to draw the canvas independently in pencil. 2. Guide students in labeling parameters with argument values and writing out each command with the substituted values. 3. Draw the resulti
7th - 12th
Computer Science - Technology, Other (Math)
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