Python Programming

Our fully-customizable interactive courseware enables instructors to promote active learning in Python with auto-graded assessments, minimal text, and hands-on labs.

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Included in this course:

Introduction:

Printing Variables Lab Coding Exercises

Arithmetic Operators Boolean Operators Lab Coding Exercises

If Statement If Else Statement Compound Conditionals If Elif Else Statement Lab Coding Exercises

For Loops While Loops Nested Loops Lab Coding Exercises

List Basics List Operators List Methods List of Numbers List Iteration 2D Lists Lab Coding Exercises

String Basics String Functions String Methods String Iteration String Comparison Formatting Strings Lab Coding Exercises

Writing to a File Reading a File CSV Files Lab Coding Exercises

Function Basics Parameters Variable Scope Returning Values Advanced Concepts Lab Coding Exercises

Introduction to Tuples Built-In Tuple Functions Built-In Tuple Methods Manipulating Tuples Lab Coding Exercises

Introduction to Dictionaries Iterating Over Dictionaries Functions, Operators, and Methods Nested Dictionaries Lab Coding Exercises

What is Recursion? Lab Coding Exercises

Objects:

Classes and Objects Lab Coding Exercises

Changing Objects with Functions Changing Objects with Methods Class and Static Methods Lab Coding Exercises

Introduction to Encapsulation Getters and Setters Lab Coding Exercises

Parent & Child Classes Extending & Overriding Multiple Inheritance Lab Coding Exercises

Polymorphism Lab Coding Exercises

Advanced Topics Lab Coding Exercises

Learning-by-doing

Constructing Knowledge Through Python Coding

Our Intro to Python computer science course content emphasizes students applying and exploring the information presented. To provide a thorough introduction to Python programming, a code editor accompanies each page with new concepts so students can see for themselves how the computer responds to code.

In addition, the content provides code snippets to get students started as well as suggested avenues for investigation. At the end of each module, students are asked to apply the skills they learned in a lab.

Auto-graded assessments

Auto-graded assessments and instant learner feedback

Students receive immediate, rich feedback. In addition to correctness feedback (i.e. right or wrong), students will also see an explanation with the complete solution.

There are a wide variety of questions - all of which are auto-graded, giving students a sense of their understanding of the material right after they are introduced to it and as they attempt harder and harder problems. Auto-graded assessments also include five coding exercises at the end of each module, where students are evaluated on the code they write.

Lower barriers to entry

Lowering the Barrier to Entry

This Python intro course material reflects the need for computer science education to meet students where they are. Like any specialized community, computer science has its own jargon. The formal teaching of computer science should not burden students with the assumption that they are fluent in this special language.

The material is presented in smaller units that are more manageable for the students. The same vocabulary and concepts are covered, but in a more approachable way - state things as plainly as possible, and, when appropriate, use images, tables, or lists.

Another way in which our intro to Python programming content is more approachable is that it uses many small programs instead of one large program. Research shows that a variety of smaller problems increase student performance and reduce stress. Using many small programs leads to students spending a sufficient amount of time on their work, and they do not wait until the last moment to begin their work.

Modular & customizable

Encouraging Customization Through Modularity

This content is not a one-size-fits-all solution. Instead, it implements a modular format. Natural breakpoints occur in the curriculum where instructors can make necessary changes. Instructors can rename, re-order, or remove units and can author new material using Codio's powerful curriculum content authoring tools, giving complete flexibility when designing the learner's experience.

What's included

What's Included

Interactive content in Python with visuals and minimal text for maximum hands-on engagement
Example code snippets that can be copied
A fully-featured web-based IDE
Run code with the click of a button
Use Code Visualizer to see "under the hood"
Parsons Problems and other formative assessments to help students check their understanding

“Click on a student’s project and five seconds later I can compile, run and debug without having to unzip or copy and paste it into my own environment. The time I save with this feature alone justifies the Codio platform and gives me back my Sundays.”

Dr. Gordon Fraser
Senior Lecturer, Sheffield University

"Codio has truly revolutionized the way we approach coding education at Code Wiz. As an innovative coding school for kids, one of the things we absolutely love about Codio is how it allows us to seamlessly integrate different types of media into our lessons, making the learning experience engaging and interactive. The platform's online IDE with collaborative features has made coding projects and lessons educational and fun for our young students. The ability to customize development environments based on skill levels and languages is a game-changer, enabling us to tailor the learning experience to each individual's needs. Moreover, Codio's automated assessment tools have simplified our evaluation process, ensuring students receive timely feedback on their code. Thanks to Codio, our students have a dynamic and effective way to learn programming, making it an indispensable tool in our curriculum."

Ruth Agbaji
CEO & Founder of Code Wiz

“Having the instant formative feedback is really useful. And that is where Codio comes in handy. They click ‘check it’ in Codio and it goes and tests that their code meets the specifications. It sorts correctly, it searches correctly. It has the error handling and features that we are expecting. It doesn’t have memory leaks.”

David Croft
Lecturer, Coventry University

[Build] Real-World Coding Skills With Hands-On, Interactive Labs

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