Discover 10 impressive yet easy web apps you can build with Python in this article.
So are you ready?
Have you gotten bored printing “Hello World!” again and again and again?
Guess what? Me too.
So, let’s see what the best web apps to start your Python programming journey with are.
Remember! These apps will not only help you improve your Python programming skills but also can be great decorative elements for your resume : )
Simply put, it’s a win-win game.
What is a web app?
First of all, let’s see what a web app is.
A web app is simply an application that you can access through a browser. Every software you use via the internet on your browser is a web app.
Google, YouTube, Facebook, Twitter, Gmail, etc. are all great examples of web apps.
Now that you know what a web app is let’s take a look at some of its benefits:
- You don’t need to download or install it
- You can use a web app on any device with an internet connection and a browser
- It is easy to update as you only need to make changes to the server once and it will be available to all the users immediately
Where a web app provides so many advantages there are also some drawbacks. As a wise man like Newton once said “Every action has its equal and opposite reaction”.
Jokes apart, let’s take a look at some of the drawbacks:
- You always need an internet connection to access a web app
- It can have limited functionality
- Performance is also a major drawback especially when it comes to graphics-intensive applications
- It may not be compatible with all the browser
So, that’s a small introduction to a web app.
What are the best libraries for building web apps in Python?
It is impossible not to talk about libraries when it comes to Python programming. As libraries make life much easier.
That’s the beauty of Python.
There is a library for every project you want to build with Python. That’s why people love this programming language. I am also in deep love with Python.
Anyways, let’s jump over to some of the best libraries you can use for building great web apps with Python:
First of all, it’s “JANGO” not “DEE-JANGO” 😂. Don’t ever dare to pronounce it like DEE-JANGO otherwise I will hate you.😂
Putting jokes aside, Django is seriously one of the coolest things in Python. It’s like having a swiss army knife.
Django is a high-level web framework that makes building web apps in Python super simple. It has all sorts of cool features and tools like built-in authentication and an admin interface.
Plus, it has an awesome ORM (Object Relational Mapping) that makes working with databases a child’s play.
But what makes Django special is its emphasis on clean and reusable code. It follows the DRY (Don’t Repeat Yourself) principle so that you only need to write code once and use it over and over again.
And one more cool thing about Django is it has a sweet community of developers too. They are always creating great plugins and packages that make building web apps even more fun.
Flask is a micro-web framework which means it’s lightweight and easy to use. You can build all sorts of things from small web apps to APIs to prototypes.
One of the things I love about Flask is how it encourages good coding practices. It has a clear and intuitive API that makes it easy to write clean and reusable code.
And because Flask is so lightweight, your code runs super fast which is always a crucial point in our book.
Like Django, Flask also has a huge community of developers who are passionate about building cool stuff and sharing their knowledge.
Streamlit is a powerful library for building data-driven web apps and visualizations in Python. It is designed to be super simple to use so that you can focus on the fun part.
With Streamlit, you can build various interactive data apps like data dashboards, machine learning models, data visualizations, etc.
Streamlit takes care of all the boring stuff like setting up a local host or figuring out how to make your app look on different devices. That’s the beauty of it. Streamlit handles all of that so you can focus on creating amazing stuff that people will love.
Every library has its community.
Yes, you guessed it right!
Streamlit also has a community that is full of enthusiastic developers who are there to help you with your queries.
So, if you want to build a data-driven web app Streamlit is the way to go.
Pyramid is also one of the best web frameworks that are built to be scalable and adaptable. It is capable of handling both small and large projects, and it’s powerful enough to build even the most complex of web applications.
With Pyramid, you can build anything from a simple web app to a full-fledged enterprise application.
Pyramid is designed to be highly extensible, which means you can easily add functionality as you need it. And because it’s built on a solid foundation of object-oriented programming principles, you can write clean and modular code that is easy to maintain and update.
So, if you want to build an app that’s both powerful and adaptable, Pyramid can be a great choice.
CherryPy is a minimalist web framework that’s easy to use and highly configurable. It’s lightweight and easy to deploy which makes it an ideal choice for small to medium-sized applications.
CherryPy enables developers to create stuff just like any other object-oriented Python program. That means it comes with a lot of pre-built functionalities so you can get started without writing a lot of code.
And because of its minimalistic nature, it’s perfect for projects where performance is the top priority.
CherryPy is like having a secret agent on your team – efficient, fast, and ready to get the job done.
So, there are many great web frameworks available but these five are my favorite libraries for building apps that I use most frequently. With these libraries in my bucket, I am confident that I can build any web application I want.
And with support from their sweet communities, I know that I can always find help when I need it.
10 easy web apps that you can build with Python
Coming this far, you know what a web app is.
You have some most famous web app libraries in your bucket.
Now, let’s see what easy web apps you can build using Python right away. So, buckle up and get ready.
You probably built a calculator when you just started learning Python. And there is also a one-line code for building a simple calculator using Python. And that one line of code is:
print(eval(input(Write your expression: )))
Now, it’s time to bring that boring calculator to life.
In Python, you can quickly build a simple calculator web app using streamlit. It is a great starting point for building web apps using Python.
With streamlit library, you can easily build a calculator that is functional and beautiful looking.
A simple calculator app may seem like a basic project, but it will teach you the fundamentals of building web apps using Python.
Data visualization is a powerful tool for analyzing and presenting data. It is also a fun way to build web apps in Python.
You can easily create charts, bars, graphs, and maps with only a few lines of code. One of the most famous data visualization libraries is Matplotlib. It provides visualizations of all kinds.
To build a data visualization web app, you can start by importing the necessary libraries and the data you want to visualize.
Once your data is ready, you can create a chart or graph using Matplotlib, and then with the help of Flask, you can serve the chart as an image or interactive widget on your web app.
Creating a data visualization web app allows you to explore many tips and tricks that help you become a Python Ninja. It is a great way to build your Python portfolio to showcase your skills.
You can see my tutorial: Data Visualization Web App Using Streamlit: Step-by-Step Guide
If you are interested in machine learning then building an image classifier web app will be a fun way to practice your skills.
And don’t forget, by building these simple projects you are not only improving your skills but also building a great portfolio as proof of what you can do.
This way you are increasing your chances of getting hired.
So, image classifiers like dogs and cats image classifiers can be a great starting point for building a machine learning-based web app.
To build an image classifier you need a set of labeled images for training the model. You can either collect images on your own or you can find a dataset on Kaggle.
Once you have trained your model you can build a web app using Flask or Streamlit where users can upload their images and see the classification results.
Building an image classifier can be a fun project. And you will explore the world of machine learning.
Sentiment analyzer is also a machine-learning based web app. It allows users to analyze the sentiment of the sentence they input in the app.
Many e-commerce companies like Amazon use sentiment analyzer models to analyze their customer reviews. Which ultimately helps them improve their customer service.
Like image classifiers, you can follow the same process to create a sentiment analyzer web app. The only difference is your model will need to classify the text as negative, positive, or neutral according to its sentiment.
Chatbots are cool. With Python, you can easily create your own.
First, you need to choose your platform. You can go with a pre-built platform like Dialogflow or roll your own with a framework like Flask or Django.
Once you choose your platform it’s time to get to the fun stuff – creating the chatbot’s dialog flow.
This is where things get interesting. You must map out all the possible user inputs and responses using natural processing libraries like NLTK or Spacy.
Now it’s time to build the backend of your chatbot app. This is where the magic happens. You can create the logic for responding to the user’s input, from simple keyword matching to complex machine learning models like sequence-to-sequence models.
Last but not the least, you need to create the front end of your chatbot web app. This is where you make it look professional. You can use a user interface framework like Bootstrap to create a chatbot interface that your user will love.
Quiz apps are a great way to engage your audience and test their knowledge. You can easily build a quiz app with Python.
First, you need to decide on the theme of your quiz app. It can be anything from general knowledge to a specific topic like science or math.
Once you get your theme it’s time to write your questions and answers.
You can create a database of questions and answers using a framework like Flask and Django. You can also use PyGame to make it a more interactive experience.
Next, it’s time to create a scoring system for your quiz app. You can assign points for correct answers and deduct points for wrong answers. You can even add a time limit for each question to make things challenging.
At this stage, you can start creating the front end of your app. You can use Bootstrap for creating a professional-looking user interface. If you want to be more creative you can add animations and sound effects to make it more fun.
Most of the big companies like Amazon, Spotify, and Netflix use recommendation systems to provide a better user experience by recommending the stuff a user likes.
But how do they know what a user likes?
Well, you guessed that right!
With their past activities on their website.
A recommendation system is a great way to help users discover new products and services based on their preferences.
And the good news is, with Python, you can easily build a recommendation system that is smart and intuitive.
First, you will need to decide on the type of recommendation system you want to build. There are three main types: content-based, collaborative, and hybrid.
Once you have decided on the type of recommendation system, it’s time to collect the data. You use various sources like user ratings, search history, or purchase history to train the system.
The K-nearest neighbors machine learning algorithm can be the most suitable algorithm for this application.
And finally, when you have trained your system, it’s time to integrate it into your web app. Flask or Django can help you do that.
A dashboard app helps the user to track the key performance indicators. It is a graphical user interface that displays charts, progress bars, or graphs.
With the Streamlit package, you can easily build a dashboard app in Python that is interactive and responsive. You can add charts and graphs that update in real time as the user interacts with the dashboard.
Dash is another great library for creating data visualizations and interactive dashboards.
So, building a dashboard app is also a great way to showcase your skills.
A weather app can be a useful tool for providing up-to-date weather information to users. There are many APIs like OpenWeatherMap and Weather Underground that you can use to gather weather data.
Web frameworks like Flask and Django will help you build a great weather app. This app will be able to make requests to the weather APIs to retrieve current weather conditions for a specific location.
So, build a weather app and make your resume presentable to employers.
Build an expense tracker web app that will help users to track their expenses and manage their budgets. This app will take in the user’s expenses and categorize them based on the type of expense.
This app will provide users with a summary of their expenses over some time and help them analyze their spending patterns.
You can use Django or Streamlit to build this web app.
So, these are the web app ideas that you can build using Python and enhance your Python programming skills.
Moreover, these projects will also make your resume stand out.
I hope you like this article.
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See you next time. Happy Coding!