Intro to Python

Want a closer look? You can review past syllabi for detailed information about what is covered in the course, objectives, schedule, labs, grading deliverables, and more.

Program Format

Intro to Python is offered every fall, spring, and summer. With two shorter sessions offered each term, you’ll choose the one that best fits your schedule. Because it’s asynchronous, you’ll have the flexibility to learn on your terms, whether that’s after school, on weekends, or from anywhere in the world.

Online Asynchronous: Flexible learning with real support

Intro to Python is designed for independent learners who want the right balance of freedom and guidance. You’ll watch pre-recorded lectures on your own schedule, then put concepts into practice through practice problems, assignments, and weekly quizzes. Regular deadlines keep you on track, while optional study sessions and timely feedback from expert instructors give you the support you need to succeed.

By the end of the course, you’ll have built a solid foundation in Python and the confidence to apply your skills in future academic or professional settings.

Year-round: Achieve your goals, on your schedule

Whether you’re balancing a busy school year or diving in over the summer, Intro to Python is designed to fit into your daily life. The primarily asynchronous format gives you the freedom to set your own rhythm, while clear deadlines and structured support help you stay focused and achieve your goals.

 Note: Please visit our Cost & Aid page for full details and information about financial aid.

Eligibility

Intro to Python carries the expectations of a Johns Hopkins college course, so you’ll need to meet specific requirements before you apply.

Academic Prerequisites

• As and Bs in your high school math and science classes
• Completed Algebra II

Grade and age requirements 

For Intro to Python, you must be a current high school student who has completed at least 9th grade or recent high school graduate. 

What to Expect Day to Day

Here’s how the course is structured, how much time you’ll spend on projects, and what you’ll need to get started.

Course Modality, Structure, and Expectations

This course is not self-paced. Intro to Python is primarily asynchronous, allowing you to manage your time flexibly; however, you will need to meet weekly deadlines for assignments, projects, and quizzes.

• Lectures and Quizzes: Pre-recorded lectures are available anytime, so you can learn when it works best for you. Expect to spend about 1 hour each week watching lectures and another 30 minutes preparing for and completing a short online quiz.
• Practice Problems: Each week, you’ll spend about 3 hours and 15 minutes working through guided examples and practice problems that reinforce lecture concepts. These activities help you build confidence step by step.
• Programming Assignments: Plan for about 2 hours and 45 minutes each week applying what you’ve learned to hands-on coding projects. These assignments are where you’ll put your skills into action and see your progress come to life.
• Study Sessions: Optional study sessions are offered two times a week. These real-time meetings give you the chance to ask questions, connect with peers, and get direct guidance from your instructor or TA.
• Collaboration: You’ll also interact with classmates and instructors on Canvas. Posting questions and sharing ideas in the discussion forum is encouraged, and you can expect responses from your instructor and TAs within 24 hours.

Time Commitment

You’ll be engaging with a college-level course in a manageable format. On average, plan to dedicate about 7.5 hours per week across lectures, quizzes, practice, and projects.

How Your Time Breaks Down

Lectures & Quizzes: 1.5 hours/week
Practice Problems: 3.25 hours/week
Programming Assignments: 2.75 hours/week
Optional Study Sessions: 2.75 hours/week

Computer and Platform Requirements

Computer Requirements

To participate in the course, you’ll need a computer with a reliable internet connection that can access course materials on the Canvas learning management system.

Browser

We recommend the latest version of Google Chrome or Mozilla Firefox. For the smoothest experience, please enable third-party cookies in your browser.

Coding Platform

All coding assignments will be completed in Replit, a web-based Integrated Development Environment (IDE) that runs entirely in your browser. No installation is required. Replit offers a free plan, though some features may require a paid subscription. As of August 2025, the monthly plan is $25 (see Replit pricing for current rates).