So you’ve been studying Python for quite some time. But you’re still considering how you can apply what you’ve learned and improve your Python skills. You know the basics and now you’re ready to apply them. Get started with these 10 beginners ideas suitable for python project.
Like any achiever, you want to show off what you’ve created with what you’ve learned thus far. Of course, one of the best ways to improve your programming skills is through hands-on experience.
There are also many beginner Python projects you can work on to gain confidence, such as simple games, quizzes, authentication scripts, and more.
So, as a beginner, here are some of the best Python project ideas to consider.
Table of Contents
1. Login System
If you’re interested in web development, one of the most basic but impactful projects you can work on is a login system.
A novel approach is to collect user input in a text file (registration) and validate it during login. It’s similar to registering and submitting data to a software’s database in order to gain authenticated access to use it.
It also introduces you to conditional statements, exception handling, loops, and file handling in Python. One difficulty you may encounter with this project is determining how to remove duplicates from your data.
You will almost always need to modify your code to reject usernames that are already in your text file. Then, during login, match users’ passwords with their usernames. Fortunately, no web framework is required for this project. You can write your code in any text editor and run it through the command line.
The popular paper and pencil tic-tac-toe game has been self-coded with Python. So this should be a breeze. Tic-tac-toe is a two-player squared (usually 3 X 3) matrix game. Both are engaged in an attrition battle, attempting to take over three boxes in a row with their marks (usually an “X” for a player and an “O” for the other).
The winner is the first person to fill three boxes in a row in any significant direction. Naturally, the other loses. Additionally, you may set up a few neural network iterations so that players can compete against the machine.
If you’re interested in creating board games that incorporate some machine learning and artificial intelligence, this is an excellent direction to take. You can even improve the graphical appeal of your tic-tac-toe app with Python libraries like pygame and tkinter.
3. Build a Quiz App With Python
You can demonstrate that you can put what you’ve learned to practice by coding and running a multiple-choice app using your command line. Coding a multiple-choice quiz in Python not only introduces you to how a typical quiz app works but also introduces you to some of the fundamental concepts of Python programming.
As with the other beginner projects on the list, all you need is a basic understanding of Python loops, functions, conditions, object-oriented programming, and how arrays work in Python.
However, some questions should arise in order to simplify the development cycle:
- How will you present your inquiries?
- How do users enter their answers?
- How do you intend to specify the appropriate options when answering questions?
- How about adding up the points for each correct answer?
You’re ready to go once you’ve answered those questions.
4. Make a Desktop GUI Calculator
Starting with a Graphic User Interface (GUI) calculator is a good place to start if you want to build desktop applications with Python. Although this may appear to be a little advanced, the path is straightforward once you begin.
Creating a GUI calculator will help you understand Python’s GUI modules such as tkinter, PyQT, Pyforms, and Kivy, among others.You can handle the calculations with separate functions and then code the user interface with any GUI module.
The tkinter library, on the other hand, is more user-friendly. Tkinter includes an event button handler that accepts arguments from external functions. To make your calculation functions work with the GUI, you can call them while designing your interface.
5. Automate Excel Operations With Python
Using Vlookup and Excel, you may take advantage of Python’s versatility for creativity whether you are an expert in VBA or frequently perform date-to-time conversions. If you want to go into data science or statistical analysis with Python, automating Excel activities is pretty useful.
You will learn how to handle data and use data science tools like pandas, numpy, and matplotlib through this project.
For instance, you may create a Python program to clean up data that isn’t properly formatted or write some code to automate VBA and charts.
6. Create a Snake Game
Game development can be perplexing at times. However, Python has a significant influence on the game industry. And if you want to start making games with Python, getting your hands dirty with a snake game is a good place to start.
Although this may be difficult at first, once you get started, you’ll get the hang of it. If you want to go deeper, you can investigate the features of Python game libraries such as pygame, pyglet, pykyra, and kivy, among others.
However, you can use the popular turtle or pygame libraries to accomplish this.
7. Use Python to Build a Simple Chatbot
Many tech companies are now using artificial intelligence to improve customer satisfaction. They sometimes accomplish this by incorporating a chatbot that converses with you naturally when you visit their website.
Natural language processing (NLP) is one of Python’s strengths, and if you’re interested in deep learning with neural networks and AI, this should be of interest to you.
When you visit a website, a chatbot responds as if it were a human. While you may not need to publish yours on the web just yet, developing a command-line chatbot opens the door to more creative exploration.
To begin, consult the documentation for NLTK (Natural Language Toolkit), a Python library used for intelligent word processing.
Additionally, you must be familiar with the fundamentals of Python’s string and dictionary processing.
8. Make a URL Shortener With Python
Here’s something for bitly fans. One of the simplest projects you may start with as a beginner in Python is a URL shortener. To carry out your project, you can use Python modules like pyshorteners.
Even better, Bitly has an API that enables you to use Python to build a custom URL shortener. That’s a fantastic place to begin with APIs.
Additionally, you can create your own algorithm for the URL shortener if you want to test your understanding of how things operate in the background.
9. Build a Web Scraper
Web scraping is useful for monitoring market trends or consumer behavior if you want to explore the power of Python in business analytics.
Web scraping is a useful business intelligence tool that modern businesses use to obtain decision-making data from various web pages. You can create scripts to collect specific information and save it in a CSV or Excel file.
Building a web scraper with Python allows you to learn how web crawlers work in real-world applications. With Python’s beautifulsoup library, you can begin a web scraping project. You can also use the scrapy framework to create a full-fledged web crawler.
10. Unit Converter
Do you have a preference for computational programming? If so, a wise course of action would be to build a Python object having functions packed with unit conversion algorithms.
It’s simple to write your code if you know the mathematical formula for converting a unit. You may wish to develop criteria for validating user selections if you want your software to work for a wide range of units.
Using distinct functions for each conversion is the ideal approach to accomplish this. From a parent function, you can then make conditional calls to each function based on the user’s selection. Of course, you may also use the CMD to execute your conversion code.
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The Benefits of Projects
Aside from knowing Python’s regular expressions, devoting time to creating something with it demonstrates how to put what you’ve learned into practice.
You can showcase your portfolio by posting projects you’ve completed on GitHub. Projects also help you learn more about the programming development life cycle, from initiation and testing to production and implementation.
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