Python Coding Rubric
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Intro to Python Coding | Complete Unit (Tutorials, Assessment + More!)
Looking for an easy, structured way to teach Python coding to beginners? This complete unit provides a term’s worth of lessons designed to take students from zero coding experience to confidently writing their own Python programs. Perfect for Digital Technologies, STEM, or coding clubs this resource combines short warm-up challenges, guided video tutorials, and practical coding activities to keep students engaged while building real programming skills. Everything is fully prepared and class
5th - 12th, Adult Education, Higher Education
Computer Science - Technology
Python Iterators & Generators | iter(), next() | Coding Activities | No Prep
Iterators and generators are where Python starts to feel advanced and where most beginner-friendly lessons stop short. This Python iterators lesson covers iter(), next(), and yield through step-by-step activities that build real understanding, not just memorization. No coding background required — structured, ready to teach, and open and go. Part of the Python series — also included in the complete PyWorks Python Curriculum Bundle in The Code Studio. 👩🏫 Designed for Teachers Who Want…✔ A
6th - 12th, Higher Education
Computer Science - Technology, Engineering
Python Turtle Graphics | Beginner Coding Lesson | No Prep
The best way to get students excited about Python is to make something they can see. This beginner Python turtle graphics activity introduces coding through simple movement commands and shape drawing — no coding background needed, no tech setup required. Open, print, and watch students code with confidence from minute one. Part of the Python collection — also included in the complete PyWorks Python Curriculum Bundle in The Code Studio. 👩🏫 Designed for Teachers Who Want…✔ A Python lesson t
6th - 12th, Higher Education
Computer Science - Technology, Engineering, Instructional Technology
PyWorks | Python Curriculum Bundle | Loops, Functions, Data, Debugging & More
No coding background? No problem. PyWorks is a complete Python curriculum that covers data types, operators, functions, loops, errors & debugging, and so much more — with guided lessons, printable worksheets, coding exercises, and ready-to-use activities. Everything students need to build real coding skills, everything teachers need to deliver it confidently. 👩🏫 Designed for Teachers Who Want…✔ A Python lesson bundle they can trust without rewriting ✔ Students working independently instead
6th - 12th, Higher Education
Computer Science - Technology, Engineering, Instructional Technology
Python Sequence Types Bundle | Lists, Tuples & range( ) | No Prep
Sequences are how Python organizes and accesses data and students who understand lists, tuples, and range() can tackle almost any beginner program. This Python sequence types bundle covers all three sequence types through clear lessons, guided examples, printable worksheets, and hands-on coding activities. No coding background required — three complete lessons, ready to teach from day one. Part of the Python Data Structures series — also included in the complete PyWorks Python Curriculum Bund
6th - 12th, Higher Education
Computer Science - Technology, Engineering, Instructional Technology
Python Lists | Indexing, Slicing & List Methods | No Prep
Lists are the backbone of Python data storage and students who don't understand them get stuck on almost every program they write. This Python lists lesson teaches students to access, modify, and organize data using indexing, slicing, and key list methods including append(), pop(), and sort() through clear examples and hands-on coding practice. No coding background required — structured, ready to teach, and open and go. Part of the Python Data Structures series — also included in the complet
6th - 12th, Higher Education
Computer Science - Technology, Engineering
Also included in: Python Data Types Bundle | Lists, Tuples, Sets, Floats & Dictionaries
Python Errors & Debugging | Syntax Errors, TypeError, ValueError | No Prep
Nothing kills a student's coding confidence faster than an error they don't understand. This Python errors and debugging lesson teaches students to identify and fix syntax errors, understand exceptions, and write try/except statements through clear examples, guided practice, and hands-on debugging tasks. No coding background required — structured, ready to teach, and open and go. Part of the Python series — also included in the complete PyWorks Python Curriculum Bundle in The Code Studio. 👩
6th - 12th, Higher Education
Computer Science - Technology, Engineering
Python Functions | Parameters, Return Values & Recursion | No Prep
Functions are where Python starts to feel powerful and where students start to feel lost. This Python functions lesson teaches students to write reusable code blocks, use parameters and return values, and apply recursion to solve real programming problems. No coding background required — structured, ready to teach, and open and go. Part of the Python series — also included in the complete PyWorks Python Curriculum Bundle in The Code Studio. 👩🏫 Designed for Teachers Who Want…✔ A Python les
6th - 12th, Higher Education
Computer Science - Technology, Engineering, Instructional Technology
Python Dictionaries | Key-Value Pairs, Methods & dict Operations | No Prep
Teaching Python dictionaries is where most lessons lose students. The syntax is unfamiliar and the use cases aren't obvious. This ready-to-teach Python dictionaries lesson removes that confusion with clear key-value pair explanations, structured practice activities, and a real-world coding project that keeps students working independently. Zero extra prep, no coding background required.Part of the Python Data Structures series — also included in the complete PyWorks Python Curriculum Bundle
6th - 12th, Higher Education
Computer Science - Technology, Engineering, Instructional Technology
Python Strings | Slicing, Methods, Formatting & Text Manipulation | No Prep
String manipulation is one of the most practical Python skills and one of the hardest to teach without the right examples. This Python strings lesson covers slicing, built-in methods including capitalize(), join(), find(), upper() and more through interactive exercises and a creative String Formatter project where students apply real string methods to their own inputs. No coding background required — structured, ready to teach, and open and go. Part of the Python series — also included in the
6th - 12th, Higher Education
Computer Science - Technology, Engineering
Also included in: Python Data Types Bundle | Lists, Tuples, Sets, Floats & Dictionaries
Python Variables | Naming Rules, Data Types & Assignment | No Prep
Give students a clear introduction to Python variables with this beginner-friendly lesson. Covers data types, naming rules, reassignment, concatenation, and local vs global variables. Includes slides, worksheets, exercises, an activity, answer key, and teacher guide. Ready-to-teach, no-prep resource for middle and high school coding classes. 👩🏫 Designed for Teachers Who Want…✔ A Python lesson they can trust without rewriting ✔ Students working independently instead of getting stuck ✔ C
6th - 12th, Higher Education
Computer Science - Technology, Engineering, Instructional Technology
Python Tuples | Immutable Sequences, Methods & Guided Practice | No Prep
Students often wonder why tuples exist when lists already do the job and this lesson answers that question. This Python tuples lesson covers indexing, slicing, immutability, and key tuple functions through clear examples and hands-on coding tasks that make structured data easy to understand. No coding background required — open and teach from day one. Part of the Python Data Structures series — also included in the Python Data Structures Bundle and the complete PyWorks Python Curriculum Bund
6th - 12th, Higher Education
Computer Science - Technology, Engineering
Also included in: Python Data Types Bundle | Lists, Tuples, Sets, Floats & Dictionaries
Python Floats & Decimals | Rounding, Operations & Type Conversion | No Prep
Floating-point errors are some of the most confusing moments in beginner Python and most lessons don't explain why they happen. This Python floats and decimals lesson covers decimal operations, rounding, and floating-point behavior through coding tasks, printable worksheets, and clear real-world examples. No coding background required — structured, ready to teach, and open and go. Part of the Python Data Types series — also included in the complete PyWorks Python Curriculum Bundle in The Co
6th - 12th, Higher Education
Computer Science - Technology, Engineering
Also included in: Python Data Types Bundle | Lists, Tuples, Sets, Floats & Dictionaries
Python range( ) Function | Start, Stop, Step & Loop Control | No Prep
Most students write for loops without understanding why range() works the way it does and that gap causes errors they can't explain. This Python range() function lesson covers start, stop, and step values, why some ranges produce no output, and how range() pairs perfectly with for loops. No coding background required — structured, ready to teach, and open and go. Part of the Python Loops series — also included in the complete PyWorks Python Curriculum Bundle in The Code Studio. 👩🏫 Designe
6th - 12th, Higher Education
Computer Science - Technology, Engineering
Python While Loops | Conditions, Infinite Loops & Debugging | No Prep
While loops are where students first encounter code that breaks in ways they can't explain. This Python while loops lesson breaks down conditions, loop updates, and logic step by step including a dedicated debugging activity that teaches students how to identify and fix infinite loops. No coding background required — structured, ready to teach, and open and go. Part of the Python Loops series — also included in the Python Loops Bundle and the complete PyWorks Python Curriculum Bundle in Th
6th - 12th, Higher Education
Computer Science - Technology, Engineering
Python Sets | Methods, Membership & Set Operations & Generators
Sets are one of Python's most underrated data structures and most lessons skip them entirely. This Python sets lesson covers set creation, modification, looping, and membership checks through guided examples, practice tasks, and real coding challenges. No coding background required — structured, ready to teach, and open and go. Part of the Python Data Structures series — also included in the Python Data Structures Bundle and the complete PyWorks Python Curriculum Bundle in The Code Studio.
6th - 12th, Higher Education
Computer Science - Technology, Engineering
Also included in: Python Data Types Bundle | Lists, Tuples, Sets, Floats & Dictionaries
CSP Python — Unit 6 Assessment Lists & Data Collections (Quizzes + Mini Project)
Assess student understanding of Python lists and data collections with this complete Computer Science Principles (CSP) Unit 6 Assessment Bundle. This bundle includes two quizzes and one mini project, providing a balanced mix of concept checks, tracing, reasoning, and real-world data application. Students demonstrate mastery of list fundamentals, looping through lists, and interpreting lists as simple datasets. All assessments follow the Mr. H Codes assessment style — clear, structured, stud
9th - 12th, Adult Education, Higher Education
Computer Science - Technology
CCSS
RST.9-10.3
, RST.11-12.3
, MP1
+1
CSP Python – Unit 9 Mini Project: Internet Safety & Secure Communication
Give students a real-world way to apply networking, cybersecurity, and digital citizenship concepts. In this Unit 9 Mini Project, students analyze an online scenario and make informed decisions about internet safety, secure communication, and responsible technology use. Rather than focusing on heavy coding, this project emphasizes reasoning, explanation, and decision making, making it ideal for Computer Science Principles courses. Students choose from realistic scenarios such as phishing em
9th - 12th, Adult Education, Higher Education
Computer Science - Technology
CCSS
SL.9-10.1
, RST.9-10.3
, RST.9-10.7
+1
Also included in: CSP Python – Unit 9 Assessment Bundle | Quizzes A & B + Mini Project
CSP Python — Unit 6 Mini Project | Lists & Real-World Data Analysis
Give students a meaningful way to apply their understanding of Python lists with this classroom-ready Computer Science Principles (CSP) mini project. In this Unit 6 List Data Analyzer Mini Project, students create a list that represents real-world data, process the data using a for loop, and analyze what the data reveals. The focus is on data thinking, interpretation, and reasoning—not complex math or advanced programming. Designed in the Mr. H Codes instructional style, this project is st
9th - 12th, Adult Education, Higher Education
Computer Science - Technology
CCSS
RST.9-10.3
, RST.11-12.3
, MP1
+1
Python Operators & Expressions | Arithmetic, Logic & Relational | No Prep
Every Python program runs on operators and students who don't understand them write code that breaks constantly. This Python operators and expressions lesson covers arithmetic, relational, logical, and assignment operators through clear examples, guided exercises, and a hands-on coding activity. No coding background required — structured, ready to teach, and open and go. Part of the Python series — also included in the complete PyWorks Python Curriculum Bundle in The Code Studio. 👩🏫 Desig
6th - 12th, Higher Education
Computer Science - Technology, Engineering, Instructional Technology
Python For Loops | Iteration, range( ) & Loop Patterns | No Prep
Repetition is one of the most powerful concepts in programming and for loops are where it clicks. This Python for loops coding lesson covers iteration, range, lists, strings, and using break and continue to write cleaner, more efficient code. No coding background required — structured, ready to teach, and open and go. Part of the Python Loops series — also included in the Python Loops Bundle and the complete PyWorks Python Curriculum Bundle in The Code Studio. 👩🏫 Designed for Teachers Wh
6th - 12th, Higher Education
Computer Science - Technology, Engineering
Showing 1-21 of 21 results
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