Best Python Projects for Python Developers

By | April 12, 2021
Best Python Projects for Python Developers

Do you want to be a python developer? If yes, then you can start with these best python books. Learning Python basic is not a hack of a task; even a person having no prior knowledge of any programming language can also learn basic python in a month or so. If you have just finished with basic python and thinking of upgrading your python skill to web-development or other computers science fields such as data science and machine learning, you need to hold your horses. Theoretical knowledge of Python programming will help you learn new syntax and tools, but it’s also important to know how to implement them practically. Here in this article, we have mentioned some interesting Python project ideas for all Python developers. These Python Projects will help you to implement and test your python coding and programming skills. And also, shore up your resume and boost your confidence during Python interviews.

At first glance, python looks very easy to learn and implement, but if you directly jump to python’s buzz words, you probably lose your interest in it. Like other programming languages, Python has also become a complex programming language for Data Science and Web Development. Its numerous libraries, web-frameworks, and complex syntax can easily overwhelm you.


Python Projects Ideas for Beginner

It’s always suggested to practice and implement logic with what you have learned, so you do not forget the basic concepts and logic used to create big software. Once you are done with basic python and core concepts, rather than looking for Django, flask, pandas, numpy, or TensorFlow, you should hone your basic skills by building some simple Python projects. These projects will help you figure out where you lack in python and how all the basic concepts are used to complete a project.

1. Build a Scientific Calculator

Building a calculator using Python Programming language is one of the easiest projects on which you can work; it may take you merely 30 to 60 minutes to build this project. While building a calculator, make sure that apart from arithmetic operations, your calculator should also be capable of computing other scientific calculations, such as trigonometric calculation and other logarithmic calculations.

This project will help you to learn the vital role of Python input/output and operator operations in a program. And also, make sure that your program should be immune to any exceptions and errors; for example, if a user inputs a string or any special character instead of a numeric value or any other valid operator, your program must not throw an error instated it should return a warning message of invalid input.

Problem Statement

Build a Scientific Calculator using python, and it should comprise all the arithmetic operations, including all the necessary scientific computation.

Topics to Considered

2. Create a Conversion Tool

Like a Calculator, you can also build a Conversion tool as your first ever project of python. It is also a straightforward project and can be build using simple logic.

The conversion tool must have different entities to convert, such as it should have length convertor, Temperature Converter, Area convertor, Volume converter, and Weight Convertor.

It’s suggested that you should create different modules for each convertor and introduced them in your main program.

Problem Statement

Build a Conversion Tool using Python program; the program must comprise the logic for the length convertor, Temperature Converter, Area convertor, Volume converter, and Weight Convertor.

Topic to Considered

  • Python Input/Output
  • Python Operators
  • Python Float Data Type
  • Python If..else statements

3. Dice Simulator

Using the python random module, you can easily build this program, and within 5 to 20 lines of python code, you can create this program. As its title suggests, you need to build a program that can print a random number between 1 to 6.

Problem Statement

Using the Python Random module, build a program that can print a random number between 1 to 6. You can make this program more interactive by using the while loop and asking the user if they want to roll the dice again or quit the game.

Topic to considered

4. Guess the Number

In this Program, you will deal with the python random module and python input/output statements. For a beginner, building this project could be a piece of cake, but make sure that your program is immune to every kind of exception, such as, even if the user enters invalid input, your program must not throw an error.

Problem Statement

Use the Python code and random module to create the Guess the Number program. First, generate a random number between a random range and give the user three chances to guess that number. Display the range from which the random number was generated and ask the user to enter the randomly generated number. After each attempt, give a hint to the user how close the answer was, and if the user lost his/her, all three chances show the Number and terminate the program.

Topics to Considered

  • Python Random Module
  • Python Variables
  • Python Integers
  • Python Input/Output
  • Python Loop
  • Python If…else statement

5. Hangman Game

Apparently, Hangman is a paper and pencil guessing game like tic-tac-toe. The game can be played between two or more than two persons; in this game, One player thinks of a word, and the other tries to guess it by suggesting letters. Here, the player gets 2x numbers of chances where x is the word’s total length to guess. Creating a Hangman Game in Python is very easy and straightforward.

Problem Statement

  • Here the computer will think a word, and the user has to guess it.
  • First, we let the user know the total length of the word that the computer has picked to guess
  • Then we ask the user to enter an appropriate letter.
  • The user will get only twice the changes as the word’s length; if the word is 3 letters, the user will only get 6 chances to enter the letter.
  • After each guess will the program will tell the user whether the entered letter is right or wrong.
  • If the user guesses the word correctly before losing all his chances, the user will win the game.

Topics to Considered

Python Project ideas for Python Intermediate Developers

In basic or core python projects, we build console-based applications, but actually, Python can do more than a simple console-based application. We explore python GUI, libraries, and web-frameworks in the intermediate Python developer phase and build Desktop or Web-applications. A Python intermediate developer must know popular python libraries like Tkinter, requests, BeautifulSoup, Django or Flask, and PyGame. These libraries and frameworks are the baselines for python intermediate developers.

1. To-Do Web-Application

To-Do is a simple Create, Read, Update, and Delete (CRUD) application. In a ToDO application, the user can create multiple tasks that he/she is supposed to do on that day, and if the user finishes those tasks, then he/she can update and delete them.

ToDo is a single page web-application, so you can use Python light-weighted web frameworks like Flask and PyCheary to build this. Or you can also use Django to build a multiuser ToDo web-application in which users can register and login to see his/her to-do list.

Topics to Considered

  • Python basics
  • Python Web-Frameworks
  • Front End-Technologies HTML, CSS, and JavaScript to make the application more interactive.
  • SQL Database.

2. Dynamic Multi-user Micro Blog Web Site

With the help of Python web-frameworks, we can build a blog website. A multi-user blog web-site is a platform where users register, login, and share their posts. There are various types of multi-user blogs; for example, Instagram is a multi-user Image Blog. Youtube is a multi-user Video blog. These days, mostly all the websites have a different section for text blogs. You are not supposed to create a clone of StackOverflow, Instagram, or Youtube; use your Python web-development skill to build a simple multi-user Create Update, Read and Delete (CURD) web-application.

Topics to Considered

  • Python basics
  • Python Web Framework (Django or Flask).
  • DataBase query using Python
  • Front-End technologies like HTML, CSS, and JavaScript
  • SQL Database.

3. Content Aggregator Web Application:

The content refers to the data of the web page. Every social media or blog website on the internet is comprised of content, and the content on these websites keeps increasing with time. The user either searches for the content on the search engine or directly visits a website. According to the categories, web-applications on the internet filter content from the other websites and lists and group them. These web-applications are known as Content Aggregator.

Unlike blog web-sites, the content aggregator websites do not create their own content; they crawl the different and popular web-pages and list their content on their website.

AllTop and Upstract are two popular Content Aggregator websites, which collect data and content from various authenticated sources and list them.

You can also build a Content Aggregator web-application that compares the goods and pricing from different eCommerce websites.

Topics to Considered

  • Python basics
  • Python Web-Scraping
  • Python Web-frameworks (Django or Flask)
  • Front End tool HTML, CSS, JavaScipt
  • Databases

4.Quiz Application

Quiz applications or quiz games can be easily built with the help of Python web-frameworks. In a Quiz application, the user could set some questions and let another user answer them. Then display all the answers with the final score.

You can also create a quiz application like “who will become a millionaire,” where users need to give all 13 correct answers to win the prize. To create this application, you can use any Python web framework and front-end tools such as HTML, JavaScript, and CSS, to make the application more interactive.

Topics to Considered

  • Python basics
  • Python Web-framework
  • Python with SQL database
  • HTMlL, CSS and JavaScript

5. Python GUI Games

With Python GUI bases libraries like Tkinter, and PyGame we can build Graphical Desktop-based applications and games. You can build simple pen-paper games like Tic Tac Toe, HangManGame, and Balck Jack, using these libraries. However, these games are straightforward, and the logic behind them is considered a beginner-level project. But with a Graphical User Interface, these games and applications are considered as an Intermediate project.

All the pen-paper games can be built using Tkinter only, but if you want to build a game like a flappy bird or advance snake game, you can use the PyGame library.

Topics to Considered

  • Basic Python
  • Python Tkinter or PyGame

Python Project ideas for Python Advanced Developers

In Intermediate and basic Python projects, we only scratch some layers of python libraries but do not dive into deep. But in the Advanced Python project, we bring everything together and code to built sometimes powerful and useful. In the Advance Python projects, we deal with powerful and complex python libraries and frameworks.

1. Image Caption generator Project in Python

This project creates a Machine Learning model that accepts an image and tells what that image is representing. This is a very interesting and yet complex Machine learning project; this concept is similar to the Google lens.

The main objective of this project to generate a caption about the context of the passed image. To build this project, you need a big data set on which you can train your model. And Python Machine learning, image processing, and Natural language processing libraries such as Keras, NumPy, imageio, pillow, tqdm, etc.

Topics To considered

  • Python basic
  • Neural Networks
  • Python Machine Learning Libraries
  • Python Natural Language Processing Libraries
  • Python Image Processing Libraries

2. AI-based chatbot using Python

These days every popular organization uses chatbots services. All these organizations which provide services often use a chatbot for first communication with their clients and customers. The chatbot helps the organization automate interaction with customers, and it also reduces the overall expenses.

You can also build an AI or ML-based chatbot using Python TensorFlow and chatterbot libraries. You need to train your chatbot based on the data set to answer according to the user query. Your chatbot could be domain-specific, which means the chatbot is only trained for a specific domain such as medical, educational, technical, etc.

Topics to considered

  • Python basic
  • Python TensorFlow and other chatbot libraries
  • Neural Network
  • Jason Data handling

3. Python Handwriting Digit Recognition Project

Handwriting Digit Recognition is a Machine Learning project. We need to create such an ML model that can scan an image and recognize the handwritten digits. Ans this is a viral and widespread project amongst data science and machine learning engineers. This project can be built with many Python ML and Neural Networks libraries like TensorFlow, Sklearn, Pandas, etc. Instead of scanning an image, you can also build a UI interface or canvas to draw a digit and then predict it.

Topics To consider

  • Python ML and DataSciene Libraries
  • Neural Network
  • MNIST DataSet

4.Python Fantasy team Prediction

These days there are many fantasy sports applications present in the market which asks the user to create a fantasy team and win prizes. Predicting a team could be tricky, but with data and stats, we can create a Python Data Science model to predict a team for us. Many websites, such as kaggel, provide data and states related to the sports league, players, and team that can train and create a team prediction model.

Topics to considered

  • Python basics
  • Python Data Science and Machine learning Libraries
  • Data analysis

5. Python Image objects Color Detection Project

There are more than 16 million colors formation if we use the RGB format. However, only a few are named because it is impossible to name two similar-looking colors with slightly different RBG configurations. But using Python image processing and Data Science libraries, we can find out the RGB configuration forever pixel and find out the most appropriate color name.

In this project, we create a Data Science model that accepts an image and tells every object’s color name present in the image. This project’s idea is similar to image recognition, but this project can be designed and trained with fewer data.

Topics to considered:

  • Python basics
  • Python image processing libraries
  • Python Data Science libraries
  • Color Name data set.


With this, we have reached the end of our article on top Python projects for beginners, intermediate, and advanced Python developers. You can pick any Python project according to your Python skills and caliber and start working on it. Most of these projects can be built using a single module; however, we recommend dividing your code into different modules for better readability. If you haven’t done any project using Python, we suggest starting with beginner projects and moving further. During Python interviews, your projects will be your main assets, so be truthful while building a project. Do not copy and paste someone else code.

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