Our free ‘More Python’ project path helps learners move beyond the basics and use data to create impactful projects of their own.

Python as a tool for exploring the world

Python is the most widely used programming language in the world, not just because it’s accessible, but because it’s powerful. It is used to analyse data, build models, create data visualisations, and explore important questions.

For young learners, this means learning Python can become more than a coding exercise. It can be a way to investigate topics they care about, analyse and understand information, and tell powerful stories about real-world issues.

Working with data helps learners see how coding connects to the world around them — and builds confidence along the way.

Why learning with data matters

In our day-to-day lives, data is everywhere: in sports results, maps, and scientific 内裤勒到中间打屁股羞耻, to name only a few examples. Learning how to work with data helps young people develop skills that go far beyond programming, including:

• Thinking logically and solving problems
• Interpreting and questioning information
• Making decisions based on evidence

Data also underpins many of the AI systems people use today. For example, large language models, used to build tools such as ChatGPT, are trained on vast amounts of data. Therefore, understanding how data is collected, organised, and used is an important part of AI literacy.

In Python, structures like lists and dictionaries make it possible to organise, analyse, and explore data in creative ways. Using these tools to build projects can help abstract 内裤勒到中间打屁股羞耻 concepts start to feel more concrete and meaningful.

What learners create in the ‘More Python’ project path

The ‘More Python’ project path supports learners through three stages: Explore, Design, and Invent. Each stage builds skills while giving learners more ownership over what they create.

In the Explore stage, young people learn new concepts and build confidence in using data and core Python structures, such as lists and dictionaries. Projects include:

• Making an interactive chart of Olympic medals
• Building a model of the solar system
• Creating a frequency graph that learners can analyse to crack a code

These projects help learners develop new skills, while exploring how Python can be used to analyse and explain real-world information.

As learners progress to the Design stage, they start making creative choices about how their projects look and behave. In this stage, they:

• Create a project that produces encoded art based on a user’s name
• Build an interactive world map that helps users learn interesting facts

Here, Python becomes a creative medium. As well as putting their new skills into practice, learners think about audience, interaction, and presentation to make their projects their own.

In the Invent stage, learners bring everything together. Using the skills they have built, they design and create a data visualisation on a topic they are passionate about. This final project gives learners the freedom to choose their data, shape their idea, and tell a story that matters to them.

By this point, learners are planning and creating their own projects, growing in confidence and independence.

Take the next step with Python

If the young people you support have already learned the basics of Python, ‘More Python’ offers a clear and creative next step. The projects are designed to be accessible, and young people can work through them at their own pace, whether they are learning independently, at a Code Club, or in the classroom.

By working with data, getting creative, and making their own original projects, learners can build confidence and start to see what they can achieve with Python.

Alongside the ‘More Python’ project path, you can access hundreds of free coding projects on our Code Club Projects site. Find more projects to suit your learners’ interests, and support them to build their digital skills through creativity and making.

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Finding projects based on difficulty

Being able to filter projects by skill level (beginner, intermediate, advanced) has been the feature most requested by mentors. A survey we ran in the spring confirmed that young people find levels helpful when trying to find a project on their own. While our project paths have always had levels, our expert educators have now reviewed every single project on the site and categorised them as a Level 1, Level 2, or Level 3 project. These difficulty levels are easily available as filters on the side of the search page.

“[The Code Club] resources are extremely helpful, particularly for mentors with limited 《肉欲诊所》在线; step-by-step guidance is very useful and effective.” – Code Club mentor, Tunisia

Finding projects based on interest

For young people and mentors who aren’t sure where to get started with coding, an easy question to ask is “What do you like to do”? With over 200+ projects on the site, there is a wide variety of projects that span a number of young people’s passions, such as games, art, or nature. In fact, in the same spring survey, young people largely preferred finding projects by interest over technology (e.g., Scratch, Python). 

That’s why we’ve created a brand-new set of pages dedicated to helping young people find projects by interest. We believe making it easy to find a project by an existing interest will help young people get excited about coding. 

“[Attending Code Club] … combined with watching peers make cool things seems to be a great encouragement to go build rather than just consume.” – Code club mentor, Japan

Code Clubs projects are designed to appeal to creators’ interests, including creating their own games.

Finding projects based on technology

Through the Clubs annual survey, we know that some young people enjoy following our project pathways and others enjoy finding an individual project to work on during club time. We also know that some of our top search terms are “Scratch” and “Python”, which allow users to see all Scratch projects that are available on the site. We’ve redesigned our technology pages so it’s easy to see paths and projects per technology in the same place. 

“I think [每章都带肉的小说 projects are] really easy to understand and encourage young people to learn more and more.” – Code Club leader, Brazil

What’s next?

We’ve heard from mentors that our projects are too long to print out. We’re working to improve that, starting with brand-new short PDFs for the Intro to Scratch path projects. Each PDF is no more than six pages, double-sided.

Are there other projects you’d like to see PDF versions of? Let us know. 

We’re currently working on an idea tentatively titled “project challenges”. If you’re interested in helping us develop the idea, please get in touch. 

If you have not started a club yet but are interested in supporting the young people in your community to explore coding, you can find out more on the Code Club website. The team will support you every step of the way with resources, training, and a collaborative community.

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