Help your students discover new passions and build essential skills with an award-winning comprehensive Python curriculum. This curriculum is designed by experts and Silicon Valley vets from Google, Apple, MIT, and Stanford, to delight your child's imagination, and help them discover the joy in Python coding.

We are proud to support schools worldwide with a variety of services from online live instruction and teacher assistance, to AI-based curriculum training. Evaluate the levels of service that match your school’s Python needs, and get in touch.

Cutting-Edge Python Curriculum For Classrooms

Bring cutting-edge Python for kids education to your classrooms today and help your students discover the magic in technology. Create & Learn's Python curriculum is comprehensive and interactive. Furthermore, it's updated quarterly, and includes a strong focus on artificial intelligence. Our Python curriculum includes these live online classes which we can help support in your classroom at any levels of service that best matches your needs:

Python for AI Class

Python stands as a high-level coding language favored by industry giants such as Netflix and Google. It finds applications in web development, game design, app creation, machine learning, and much more. Our live online Python class for kids not only covers the fundamentals of Python coding, but also places a strong emphasis on the elements of Python most relevant to Artificial Intelligence, including data structures and libraries.

Data Science with Python, Pandas, and ChatGPT Class

No matter whether your student wants to become an entrepreneur, a lawyer, a journalist, a doctor, or an engineer, it is important for them to gain the power to analyze and utilize and the data to gain business insights and make decisions. Pandas is a fast, powerful, and flexible open source data analysis and manipulation tool.  It is easy to use and yet covers the most foundational features needed for analyzing data end to end. It also is a great way to apply and gain more Python skills.

AI Creators

Create simple and practical AI apps using a variety of tools - from the Python coding language and open source packages to commercial AI from Google and Open AI (creator of ChatGPT). By the end of this advanced AI class for teens, students will achieve a firm foundation in key technical concepts used in coding AI, and creating models representative of a variety of data, including medical imaging datasets (pneumonia, Covid-19, and the like), and so much more.

Computational Biology

This is a chance to get a peek into the challenges scientists deal with every day, and where coding can help! Computational biology is a field that bridges the gap between biology and computer science. If your teen is curious about understanding how we humans work inside, and is interested in learning how Python coding can lend a hand in understanding the world of DNA, RNA, and proteins, then this is the computational biology class to get started!

There's even a Python workbook to help students continue practicing their Python skills beyond classes.

Additional Python Curriculum Considerations

As you look to craft or discover the best Python curriculum for your students, don't just consider the content. Also consider the broader educational context, student engagement, and long-term skill development. Here are five crucial things to focus on:

  1. Alignment with Educational Standards and Objectives: Ensure that your Python curriculum aligns with broader educational standards and learning objectives. This might include integrating computational thinking skills, problem-solving, and digital literacy into your curriculum. You might also discover ways to seamlessly incorporate Python programming into existing STEM subjects or as part of a dedicated computer science course, ensuring it meets your school’s academic goals.
  2. Accessibility and Inclusivity: It's essential for your curriculum to be accessible to all students, regardless of their background in computing. This means introducing Python in a way that's engaging and understandable for beginners, while also being challenging enough for more advanced students. Inclusivity also involves considering diverse learning styles and potentially providing additional support for students who might struggle with the material.
  3. Practical Application and Real-World Relevance: As you know, students are more engaged when they see the real-world application of what they're learning. So be sure to look for curricula that not only teach the basics of Python, but also how to apply these skills to solve real problems. This might include project-based learning, where students work on projects that connect with real-life scenarios, such as data analysis, automation, web development, or creating simple games.
  4. Resources and Support: Implementing a new curriculum requires a wealth of resources, from textbooks and online courses to interactive coding platforms. Look or comprehensive materials that offer both theoretical knowledge and practical exercises. Additionally, seeking out professional development opportunities for you to learn Python or enhance your programming skills are crucial, ensuring you feel confident and prepared to teach the subject. Google offers a free Python class for those with a little bit of prior coding experience, and Create & Learn offers teacher training as well.
  5. Assessment and Feedback Mechanisms: Effective learning requires effective assessment. Educators need ways to monitor student progress, understand their challenges, and provide constructive feedback. This could involve traditional quizzes and tests, but also more innovative approaches like code reviews, project presentations, and peer assessments. As always, the goal is to create a supportive learning environment where students feel motivated to improve and succeed.

Overall, creating and teaching a Python curriculum is about much more than just the content. It's about fostering an inclusive, engaging, and supportive learning environment where students can develop not only their coding skills but also their critical thinking, creativity, and problem-solving abilities.

Python Curriculum for Middle School and High School

Here's how to create a strong curriculum for middle and high school students to learn Python programming.

  1. Start with the Basics: Before anything else, get comfortable with Python's syntax and basic concepts. Introduce students to introductory courses or tutorials that cover variables, data types, control structures (like loops and conditionals), and basic data structures (like lists and dictionaries). Websites such as Create & Learn or even Python's official website offer great starting points.
  2. Hands-On Practice: Theory is crucial, but practice makes perfect. Try to code a little every day, even if it's just solving small problems or building tiny programs. Websites like W3Schools offer tons of exercises to sharpen your skills. Don't get discouraged by errors or bugs; they're just stepping stones on your coding journey.
  3. Project Building: Once you're confident with the basics, start working on small projects. Projects are not only fun but also immensely rewarding. Students can be challenged to automate a simple task on their computer, create a small web application, or analyze data from their favorite game. This hands-on experience will solidify their understanding and showcase their skills.
  4. Learn Advanced Topics: As students grow more comfortable, delve into more complex topics such as object-oriented programming, data structures and algorithms, web development with frameworks like Django or Flask, or data analysis with libraries like Pandas and NumPy. These skills will elevate your coding capabilities and open doors to more intricate projects and opportunities.
  5. Keep Updated and Adapt: The tech world evolves rapidly, and so do programming languages. Keep an eye on the latest Python developments and libraries. Encourage students to embrace new learning opportunities and challenges, and adjust your learning plan as you discover new interests and career goals they may develop.

Tips for Introducing a Python Learning Path

Here are five essential tips to ensure a smooth and impactful introduction to Python programming for middle and high school students:

  1. Start with the Why: Begin by explaining the relevance and potential of learning Python. Show students real-world applications of Python in various fields such as web development, data analysis, artificial intelligence, and scientific research. This can help ignite their curiosity and motivation to learn.
  2. Make It Interactive and Engaging: Python is a language that allows for immediate feedback and results, which is perfect for keeping young learners engaged. Use interactive platforms or online coding environments like Trinket that allow students to see the results of their code as they learn. Incorporate games, challenges, and projects that are relatable to their interests to make learning fun and relevant.
  3. Focus on Concepts, Not Just Syntax: While learning syntax is important, understanding the underlying programming concepts such as loops, conditionals, and data structures is crucial. Use Python as a tool to teach these concepts, encouraging students to think like programmers and problem-solvers, rather than just memorizing code.
  4. Encourage Collaboration and Sharing: Programming is often seen as a solitary activity, but it can be much more engaging and enriching when done collaboratively. Encourage students to work on projects in pairs or groups, share their code for peer review, and present their projects to the class. This not only helps them learn from each other but also builds their confidence and communication skills.
  5. Provide Resources and Support for Self-Learning: Not all students will progress at the same pace, and some may wish to explore beyond the curriculum. Provide resources for further learning, such as links to online courses, tutorials, and forums. Encourage students to set personal goals and projects, and make yourself available for guidance and support. Foster a culture of curiosity and self-driven learning, reminding students that the journey of learning to code is one of continuous exploration and growth.

By focusing on these tips, teachers can create a dynamic and supportive environment that not only teaches Python but also fosters critical thinking, problem-solving skills, and a love for learning.

Bring The Python Curriculum To Life For Your Students

We partner with schools and educators to make Python accessible to all students through a variety of service options. From AI-based curriculum training software, to live online tutoring and classes taught by experienced computer science teachers, we have Python solutions tailored to your needs. Learn more and get in touch here, and get started in just a matter of days.