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Fun and Easy Python Weekend Projects

5 min read

Python can be challenging to learn. You give a lot of time to learning through videos and books, but if you can’t put everything you learn into practice, all your learning becomes pointless.

This is why you must get involved with Python projects. A project will help you integrate what you’ve learned together, stay motivated, build a portfolio, and develop new methods to approach and solve problems using code.

This post will go over various projects to help you improve your Python programming skills.

2 Easy Games in Python to Try

Gaming is one form of amusement available to humans. Various types of games are available on the web, mobile, and desktop platforms, among others. No, we’re not talking about creating one of those heavy games.

Project 1 – Tic Tac Toe

Without a doubt, you must have played Tic Tac Toe in school, and every one of us enjoys the game. Tic Tac Toe is a popular game that you can play anywhere with a pen and paper.

Tic Tac Toe Python Projects

After creating this game, we should understand dictionaries in Python, how to access dictionaries, iterate over dictionaries, for loops, if-else conditions, and functions in Python.

Project 2 – Rock Paper Scissors

I’m sure you’ve heard of the classic game rock, paper, scissors. It’s a basic two-player hand game in which each participant forms one of three shapes with their hand at the same time. This introductory project will teach us how to implement basic Python concepts like lists, if statements, and inputs.

Rock Paper Scissors Python Projects
Rock Paper Scissors Python Projects

The goal is to develop a game that follows the following rules:

  1. Rock smashes scissors.
  2. Paper covers rock.
  3. Scissors cut paper.

After completing this project, you can use the Pygame library to create more complicated games utilizing computer graphics and sound libraries.

Build a GUI in Python

Writing Python code is fun, but do you know what even more fun is? The ability to interact with your code via a graphical user interface, allowing anyone to test what you’ve created.

Python GUI Python Projects
Python GUI Python Projects

The Python modules Tkinter, PyQt, and Kivi, will assist you in creating a graphical user interface (GUI) with buttons, windows, and a variety of other widgets that make it easier for the user to interact with your application.

The idea behind this project is simple: construct a GUI for any project you’ve already completed. You can also make a graphical user interface for the projects featured in this post!

1. Age Calculator

The age calculator app is one of the easiest apps you can create with the help of a GUI. Once you’ve created the app, all you have to do is enter your birth date, and the calculator will tell you your exact age.

2. Scientific Calculator

The scientific calculator can now be found on our cellphones and laptops. While creating a simple calculator doesn’t require much effort anymore, creating a scientific calculator isn’t as simple, especially if you don’t use a graphical user interface.

3. Expenses Calculator

We have daily expenses, such as groceries, clothing, and bills. Because there are so many expenses, it’s natural to lose sight of them and keep spending until we’re virtually out of money. A tracker can assist consumers in keeping track of their costs.

Simple Movie Recommendation System in Python

Have you ever wondered how Netflix, Hulu, or Amazon suggest new movies to watch? It’s simply a recommendation system created by engineers that finds the greatest movie based on various user information.

Recommendation System Python Projects
Recommendation System Python Projects

A recommendation system is a program that attempts to forecast a user’s preference for a given item. The recommendation algorithm predicts which movies a user will want to see based on some data in this scenario. Python modules such as Pandas, Numpy, and Scikit-learn can be used to create a recommendation engine ranging from basic models to content-based and collaborative filtering recommender systems.

Automation Projects in Python

If you have ever spent hours renaming files or updating hundreds of spreadsheet cells, you understand how time-consuming such activities can be. But what if your computer could do them for you?

Automation Python Projects
Automation Python Projects

1. Automating Reading & Writing Files

One of the top Python automation projects is automating file reading and writing. They should be aware of the file path where it is kept. To open and run all code indented under a block, they should utilize a statement.

After completing a program’s execution, the statement will automatically complete the clean-up and close the opened file in the folder. This Python project makes it simple for expert developers to read and write files in this programming language with automation.

2. Automatic Crypto Trading

Since cryptocurrencies began to dominate the financial industry, there has been a surge in cryptocurrency investors’ demand for crypto trading bots. One of the most popular Python automation projects for expert developers is creating a cryptocurrency trading bot.

This Python project involves buying and selling cryptocurrency and determining whether any amount of money can be traded efficiently.

3. Automatic Time Tracker

Another notable Python automation project for managing time efficiently and increasing productivity in this programming language is the automatic time tracking tool. It enables skilled developers to automatically track the current website and the time each user spends on the page. It is critical to use a JSON file with that data in the future.

With this Python app, developers may track the time spent on any website or their use of social media accounts. It is great for saving time and obtaining practical expertise with this programming language.


Each of the preceding examples followed the guidelines on selecting a great Python project for beginners:

  1. Consider your hobbies and find a project that aligns with them to help you stay motivated.
  2. Consider your goals for learning Python and ensure that your project advances you toward those goals.
  3. Begin small. After you’ve completed a little project, you can either extend it or construct another one.

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