10 Python Projects for Beginners

Python Projects for Beginners

10 Python Projects for Beginners

We have gathered some small project ideas for beginners who just started to learn Python. All of these projects are created with a beginner’s level in mind, and we have also provided a full guideline on how to complete each one. These projects are suitable for Python beginners, especially those who have little or no experience with the language.

This is a collection of small projects that can be done in just a day with a moderate amount of Python knowledge. This will aim to help you gain confidence in Python programming, avoid frustration and help nurture your skills.

In this post, we will be providing a brief description of Python beginner’s projects along with some useful resource links to help you further.

Let’s get started with it then…

Related: Interesting Python Libraries for Data Science

Python Projects for Beginners

1. Strong Password Generator

In the digital world, having a weak password is the real security threat that you would want to avoid at any cost. We have accounts on tens of websites and it’s a real challenge to keep all the passwords different and strong.

You can create a strong password generator app of your own using the Python passlib library. passlib has over 30 different password hashing algorithms so you can choose the one that works the best for your use case.

passlib depends on the six other libraries — pycrypto, ecdsa, hashlib, argparse, ctypes, and paramiko. Before you run the setup script, make sure that all these packages are installed on your system. You can use the pip install command to install all these.

Please note that for this task, there are other Python libraries too that you can explore.


2. BMI Calculator

BMI is calculated by taking the person’s weight in kilograms and dividing this by the square of the height in centimeters. In other words, BMI = (kg / m^2).

Using Python, you can create the app in only a few lines of code. You just have to take the person’s weight (in kg) and height (in m) as input and apply the following formula:

BMI = (weight) / (height)^2

Just categorize the BMI results using the following standard by using if and elif statements and you’re done.

  • 18.4 or less — Underweight
  • 18.5 to 24.9 — Normal weight
  • 25 to 29.9 — Overweight
  • 30 or above — Obesity


Currency converter

3. Currency Converter

Currency converters can be of 2 types:

  • One, that takes only one input as the primary currency value and outputs the converted value in secondary currency using any live conversion rate API, and
  • Second, that takes two inputs from the user — the value of the primary currency and the current conversion rate as well

The first kind of currency converter is a bit more complicated as it involves API and the second kind is a lot easier.


4. PDF to Word File Converter

You would have often used various online tools to convert files from one format to another format, like from PDF to Word. What if you could do that right on your computer without risking your privacy by using untrusted online tools?

There are multiple Python libraries using which you can convert a PDF file into an editable document format such as PyPDF2 and Aspose.Words.


5. Coin Flipper

Creating a coin flipper tool may sound very simple but it teaches you some important Python basics that you will always need. There can be multiple ways to create the coin flipper in Python but the one using NumPy’s binomial distribution method is the most preferable.

The method uses the above formula.


6. Music Player

Everybody loves to listen to music but what if you could code your own music player using Python? It’s a very simple project that will polish your basic Python skills.

The music app would be very simple though — the user should be able to do these operations play, pause, resume, go to the next song, and go to the previous song.

For this, you would need to install tkinter and pygame Python libraries.


7. Countdown Timer

The timers in which you set a time duration and then the timers count backward to zero are countdown timers. You can easily create one using Python’s time method.

After you finish doing it, as a bonus, you can also create a Pomodoro timer that will further polish your skills.


8. Portfolio Website in Django

As a developer, sooner to later you would need a portfolio website to showcase your skills to the world so that people know what you do and employers decide to hire you.

Well, you can quickly create a portfolio website by using Python’s Django library. Django is a fully-featured Python web framework that can be used to create a simple website as well as complex web applications.

The best thing, is if you know the basics of Python, you can get started with Django right away — it’s very easy to learn.


9. Bulk File Renaming Tool

Imagine having hundreds of files in a folder and you have to rename them all using a specific naming pattern. Now, how much time do you think it would take to do that manually — 1 hour, 2 hours, or more?

With Python, you can do this within seconds!

For this, you can use the rename() method which is a part of the os module. You can do this within 10 lines of code.

However, you can also aim to create a GUI Python app by using PyQt and Qt Designer. Yes, it will be a bit complex but you will learn a lot of things.


10. QR Code Generator

QR codes are machine-readable two-dimensional pixelated barcodes that can be used to store a variety of information. QR in QR code stands for Quick Response. A QR code looks something like the image below (scan the code and see what happens):

Python already has a module called qrcode that can quickly generate simple as well as very advanced QR codes for any kind of provided information.

You can create a Python project that creates QR codes and should also be able to read any kind of QR code.


Also see:

Final words

So, this is just a small list of simple Python projects for beginners that you can create to polish your skills. While there are plenty of other simple project ideas, the ones listed here are really helpful in enhancing your analytical thinking and programming skills in Python.

Also read: Commonly Asked Data Science Interview Questions

If you get stuck somewhere, feel free to let us know in the comments below.

Also, kindly share the post with your developer friends who you think might be interested in reading it.

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