45 Fun (and Unique) Python Project Ideas for Easy Learning

January 13, 2021
python tutorials for data science

If I could give my former self one piece of advice when I was struggling to learn Python as a beginner, it would be this: create more Python projects.

Learning Python can be difficult. You can spend time reading a textbook or watching videos, but then struggle to actually put what you've learned into practice. Or you might spend a ton of time learning syntax and get bored or lose motivation. (That happened to me. A lot).

How can you increase your chances of success? By building Python projects. That way you're learning by actually doing what you want to do!

Python Projects: Why Are They So Important?

Building projects helped me bring together everything I was learning. Once I started building projects, I immediately felt like I was making more progress. 

Project-based learning is also the philosophy behind our teaching method at Dataquest, where we teach data science skills using Python. Why? Because time and time again, we’ve seen that it works!

Working on things that you care about helps you stick with your studies, even when the going gets tough.

But it can be difficult to build Python projects for beginners. Where do you start? What makes a good project? What do you do when you get stuck? In this article, we’re going to talk about:

  • What you need to do before you build your first project.
  • What makes a successful project.
  • Strategies to use when you get stuck.
  • Examples of how to select the perfect project.

Why Building Projects Is the Best Way to Learn

First, let's take a look at why a project-based learning approach is so effective.

Motivation: Have the Momentum to Keep Going

First, building Python projects helps you learn more effectively because you can choose a project or topic that interests you. 

This helps you stay motivated, which is important in preventing you from giving up when things get tough.

Efficiency: Only Learn What You Need To

The second reason a project-based approach works is that there's no gap between learning the skill and putting it into practice. You won't waste time learning irrelevant things, because you’ll be actively trying to learn the specific things you need to build your project. 

This also means you will get where you want to go a lot faster. If you’re trying to learn Python for data science by building data science projects, for example, you won’t be wasting time learning Python concepts that might be important for robotics programming but aren’t relevant to your data science goals.

Problem-Solving: Learn the Key Programming Skill

Problem-solving is a key skill when working with Python (or any other programming language). When you're building a project, you're going to have to come up with ways of approaching problems and solving them using code. 

Building projects thus forces you to practice what is perhaps the most important skill in programming. And the more practice you can give your brain in solving problems with code, the faster your skills will develop.

Portfolio: Use Your Projects to Help You Get a Job

The fourth and final reason that building Python projects works for beginners is that you can get a head-start on getting your first job (if that's your goal). 

When employers are looking to hire entry-level candidates, they want to see that you have the key skills they need. A great way of achieving this is having a portfolio of relevant projects that demonstrate your skills. 

If you’re looking for your first job in the field, employers are going to want to see tangible proof of your Python skills. In other words, they’re going to want to see what projects you’ve built. 

If you're interested, you can read more about building a portfolio in our Data Science Career Guide (which while aimed specifically at people looking to get into data has advice that's equally valuable if your goal is another application of Python!).

Before You Build Your First Python Project

If you have some programming experience, you might be able to dive straight into building a project. For most people, however, you'll need to take a little time to learn some of the basics of Python first. The idea here is to spend a small amount of time to learn these basics so you have what you need to dive into projects.

There are a few resources that you can use at this stage:

Learning with Dataquest

  • Codecademy - One of the best-known sites for learning the basics

Once you have learned some of the basics, it's normal to feel a bit overwhelmed. You are learning something totally new, after all. Even though you might not feel ready to start building a project, you probably are.

As a first step, you might like to try building a structured or guided project. Structured projects are important because they allow you to build something without having to start from scratch, which can be difficult if you're a beginner.

At Dataquest, we include guided projects in every course which are designed to help bridge the gap between learning from a course and being able to build a project on your own. An alternative path would be following along with Python tutorial blog posts that you can find on either the Dataquest site or on thousands of other sites online.

What Makes a Great Python Project for Beginners?

Now that it's time to build your Python project, you need to decide what to build! Choosing what to build is extremely important — it will impact whether your project will be successful or not. So what makes for a great Python project for beginners?

Choose a Topic You're Interested In

The first and most important factor is choosing a topic that interests you. If you're interested in what you're building, you'll have more motivation. Motivation is important because it's the momentum that carries you through when you hit roadblocks (more on that later!).

Some people might be motivated by sports, others by a project that relates to social good. Others might be motivated by something to do with finance or the stock market. You might be obsessed with movies or a favorite TV series. Whatever that "thing" is for you, that's what your project should be about.

Think about your goals

The second factor to consider is what your overall goal is in learning Python. If you want to get into web development, then a project that builds a small web app is ideal. If you want to get into data science, then a project that analyzes a dataset is a good choice. By aligning your project with your goals, you'll be taking yourself closer to your eventual goal, rather than going on a "detour".

Start Small

The last factor is not being too ambitious. It's natural to come up with a grand plan, e.g. "I want to build a website that allows people to build custom shot charts of using NBA data." This project idea sounds like it is based around a motivating topic (presuming you like basketball) and intersects with a goal (learning to make websites).

The difficulty with this project choice is that it's too big. In order to execute it, a beginner will need to learn the basics of building an online application, how to store and retrieve a large amount of data, how to create shot-chart visualizations, and how to display them to a user upon request.

It's much better to start with an extremely small and simple version of your project and then add more functionality later. If you don't, it will take a long time before you get any sense of accomplishment from finishing and you might even give up. By starting small and expanding, you're much more likely to have success.

Matryoshka Dolls

Start from a small project and build it up over time

A better version of this project might be to create a simple web app that will show a single NBA statistic for a small selection of players. Once you've built that, you can choose to expand it out by adding more players, more statistics, or any other extra piece of complexity that might appeal to you.

Building Your Python Project: Roadblocks and Difficulties

You've learned the basics of Python, completed a guided project, selected the perfect topic for your first solo project, and you're ready to get started. After about half an hour, you run into a problem: there's something you don't know how to do!

I promise you that this will happen, and it's not a nice feeling. No one likes getting stuck. That said, what you're being presented with is an opportunity. These moments — roadblocks — are where the learning actually happens. The key is knowing how to research to get yourself around the roadblock and keep working.

The good news is that most of the time, someone has been in the same situation — with the same roadblock — as you are in right now. What you need to be able to do is find the resources left behind by those people. Enter: Google (or your favorite alternative search engine).

How to Search for Help

The key to being able to find help is constructing a search for information about a general version of the thing you want to do. 

Say you have a Python dictionary where the keys of the dictionaries are NBA player names and the values are how many games they've played. You're trying to find out which player has the most games.

Searching for “how to find out which NBA player has the most games in Python dictionary” probably isn’t going to be helpful, though. You need to construct a general form for your question, which in this case might be: "Find which key of a Python dictionary has the maximum value."

In fact, that exact Google search seems to bring us to a Stack Overflow question with answers that look helpful!

Finding these general question forms can be tricky at first, but this is an important skill that almost every programmer uses daily, so don't be afraid to dive in there and get some practice. If you still can't find help, you might need to break your problem down into smaller chunks and search for each 'chunk' individually.

You'll find that most of your searches for help will end up on one of three places:

  • An online tutorial that explains the thing you want to do.
  • Stack Overflow (an online programming Q&A site) thread of someone in a similar situation.
  • The documentation for Python or the Python library you're using.

If you still aren't finding the answers, you should post your question on a place like Stack Overflow or the Dataquest community, where others might be able to answer your question. You may be surprised by how quickly other programmers will jump in to help out a beginner!

Python Project Examples

Now let’s look through a few fictional examples of people with interests and goals, and see how they can choose a Python project that suits their needs.

Data-Focused Danielle

Danielle wants to break into the data science space, and she's identified that an entry-level job in data is going to be an analyst type role. 

She loves Star Trek, so she's decided that an ideal project would be to analyze some data related to Star Trek episodes. 

In order to start small and build up, she's going to find a data set and summarize data about episodes (she'll probably use this list of places to find free data sets for projects to get started). 

Once she's done that, she plans to expand her project by creating some visualizations.

Fun Python project ideas for building data skills:

  • Find out How Much Money You've Spent on Amazon — Dig into your own spending habits with this beginner-level tutorial!
  • Analyze Your Own Netflix Data — Another beginner-to-intermediate tutorial that gets you working with your own personal data set.
  • Analyze Your Personal Facebook Posting Habits — Are you spending too much time posting on Facebook? The numbers don't lie, and you can find your numbers in this beginner-to-intermediate Python data project.
  • Analyze Survey Data — This walk-through will show you how to get Python set up and how to filter survey data from any data set you can find (or just use the sample data linked in the article).
  • Dataquest's Guided Projects — These guided projects walk you through building real-world data projects of increasing complexity, with suggestions for how each project can be expanded.
  • Analyze Everything — Grab a free data set that interests you and start poking around! If you get stuck or aren't sure where to start, our Python courses are here to help you, and you can try them for free!

Gamer Greg

Greg wants to learn Python in order to build games for fun and loves puzzles. 

Greg has decided that he's going to learn Python by building games using the Pygame library. He'll start by building a structured project using some Pygame tutorials and then go onto create a simple version of Rock–paper–scissors before gradually increasing the complexity of his projects.

Video Game

Building a video game using Python

Cool Python projects for game devs:

  • Rock, Paper, Scissors — Start your Python learning journey with a simple but fun game that everybody knows.
  • Build a Text Adventure Game — This is a classic Python beginner project (it also pops up in this book) that'll teach you a lot of basic game setup concepts that'll be useful for more advanced games in the future.
  • Guessing Game — This is another beginner-level project that'll help you learn and practice the basics.
  • Mad Libs — Learn how to make interactive Python Mad Libs!
  • Hangman — Another childhood classic that you can make in Python to stretch your skills.
  • Snake — This is a bit more complex, but it's a classic (and surprisingly fun) game to make and play.

Website Wanda

Wanda wants to get a job building websites using Python, and she loves fitness and exercising. She's going to start by following a tutorial for the Python flask web framework, and then try to build a very basic website that she can use to log each time that she exercises. 

Once she's built this simple version, she plans to expand and add new features one by one.

Simple Python projects for beginner web devs:

  • URL shortener — This free video course will show you how to build your own URL shortener like Bit.ly using Python and Django.
  • Build a Simple Web Page with Django — This is a very in-depth, from-scratch tutorial for building a website with Python and Django that even has cartoon illustrations!

App Dev Aaron

Aaron wants to learn Python so that he can build apps for mobile devices and the web. 

Easy Python projects for aspiring developers:

Additional Python Project Ideas

Still haven't found a project idea that appeals to you? Here are a whole bunch more, separated out (roughly) by experience level.

These aren't tutorials, they're ideas that you'll have to dig into and research on your own, but that's part of the fun! And it's part of the natural process of learning to code, and even working as a programmer. The pros Google for answers all the time — so don't be afraid to dive in and get your hands dirty!

Python Project Ideas: Beginner Level

  • Create a "Code" Generator that takes text as input and replaces each letter with another letter, and outputs the "encoded" message.
  • Build a "countdown calculator." Write some code that can take two dates as input, and calculate the amount of time between them. This will be a great way to familiarize yourself with Python's datetime module.
  • Write a Sorting Method. Given a list, can you write some code that sorts it alphabetically, or numerically? Yes, Python has this functionality built-in, but see if you can do it without using sort()!
  • Build an Interactive Quiz. Which Avenger are you? Build a personality or recommendation quiz that can asks users some questions, stores their answers, and then perform some kind of calculation to give the user a personalized end result that's based on their answers
  • Tic-Tac-Toe by Text. Build a Tic-Tac-Toe game that's playable like a text adventure. Can you make it print a text-based representation of the board after each move?
  • Make a Temperature/Measurement Converter. Write a script that can convert Fahrenheit to Celcius and back, or inches to centimeters and back, etc. How far ca you take it?
  • Build a counter app. Take your first steps into the world of UI by building a very simple app that counts up by one each time a user clicks a button.
  • Build a number guessing game. Think of this as a bit like a text adventure, but with numbers. How far can you take it?
  • Build an alarm clock. This is borderline beginner/intermediate, but it's worth trying to build an alarm clock for yourself. Can you create different alarms? A snooze function?

Python Project Ideas: Intermediate Level

  • Build an Upgraded Code Generator. Starting with the project mentioned in the beginner section, see what you can do to make it more sophisticated. Can you make it generate different kinds of codes. Can you create a "decoder" app that reads encoded messages if the user inputs a secret key? Can you create a more sophisticated code that goes beyond simple letter-replacement?
  • Make your Tic-Tac-Toe Game clickable. Building off the beginner project, now make a version of Tic-Tac-Toe that has an actual UI, and that you play by clicking on open squares. Challenge: can you write a simple "AI" opponent for a human player to play against?
  • Scrape some data to analyze. This could really be anything, from any website you like. The web is full of interesting data, and if you learn a little about web-scraping, you can collect some really unique datasets.
  • Build a Clock Website. How close can you get it to real-time? Can you implement different time zone selectors, and add in the "countdown calculator" functionality to calculate lengths of time?
  • Automate some of your job. This will vary, but many jobs have some kind of repetitve process that can be automated!
  • Automate your personal habits. Do you want to remember to stand up once every hour during work? How about writing some code that generates you unique workout plans based on your goals and preferences? There are a variety of simple apps you can build for yourself to automate or enhance different aspects of your life.
  • Create a simple web browser. Build a simple UI that allows for URL enter and that can load webpages. PyWt will be helpful here! Can you add "back" button, bookmarks, and other cool features?
  • Write a notes app. Create an app that helps people write and store notes. Can you think of some interesting and unique features to add?
  • Build a Typing Tester. This should show the user some text, and then challenge them to type it, timing them for the length of time it takes them to finish, and scoring them on their accuracy.
  • Create a "site updated" notification system. Ever get annoyed with having to refresh a website to see if an out-of-stock product has been relisted, or to see if any new news has been posted? Write a Pythons script that automatically checks a given URL for updates and informs you instantly when it identifies one. (Be careful not to overload the servers of whatever site you're checking, though — keep the time interval reasonable between each check).
  • Recreate your favorite board game in Python. There are tons of options here, from something simple like Checkers all the way up to Risk or even more modern and advanced games like Ticket to Ride or Settlers of Catan. How close can you get to the real thing?
  • Build a Wikipedia Explorer. Build an app that displays a random Wikipedia page. The challenge here is in the details: can you add user-selected categories? Can you try a different "rabbit hole" version of the app where each article is randomly selected from the articles linked in the previous article? This might seem simple, but it can actually take some real web-scraping chops.

Python Project Ideas: Advanced Level

  • Build a Stock Market Prediction App. For this one, you'll need a source of stock market data and some machine learning chops, but tons of people have tried this, so there's a lot of source code out there to work from. 
  • Build a Chatbot. The challenge here isn't so much making the chatbot as making it good. Can you, for example, implement some Natural Language Processing techniques to make it sound more natural and spontaneous?
  • Program a robot. This requires some hardware (which isn't usually free) but there are lots of affordable options out there, and tons of learning resources too. Definitely look into Raspberry Pi if you're not already thinking along those lines.
  • Build an Image Recognition App. Starting with handwriting recognition is a good idea — Dataquest even has a guided project to help with that! — but once you've got that down, you can take it much bigger.
  • Make a Price Prediction Model. Pick an industry or product you're interested in, and build a machine learning model that predicts price changes.
  • Create your own Sentiment Analysis Model. Sure, there are plenty of pre-built ones out there, but can you collect a large corpus of text data and build one of your own? (Or, less challenging: optimize an existing sentiment analysis model for the particular text you're analyzing.)
  • Create an interactive map. This will require a mix of data skills and UI creation skills. Your map can display whatever you'd like — bird migrations, traffic data, crime reports — but it should be interactive in some way. How far can you take it?

 

Next Steps

Each of the examples in the previous section followed the advice on choosing a great Python project for beginners:

  • Think about what you're interested in and choose a project that overlaps with your interests to help with motivation.
  • Think about your goals in learning Python, and make sure your project moves you toward those goals.
  • Start small. Once you've built a small project you can either expand it or build another one.

Now you're ready to get started. If you haven't learned the basics of Python yet, I recommend diving in with Dataquest's Python Fundamentals course

If you already know the basics, there’s no reason to hesitate! Now is the time to dive in and find your perfect Python project.

(If you're stuck for ideas, this article contains lots of ideas as well as some resources for structured projects.)


Tags

beginner, Data Science Projects, Learn Python, Portfolio, project portfolio, projects, python, python projects


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