After learning the basics of Python programming, the typical advice is to start making programs yourself or start doing Python projects, to further your learning. At some point, you’ve got to stop doing exercises and start making real software.
But what should you make? When you’re a beginner, it’s not always obvious what is possible to make, let alone what is achievable at your current skill level.
Projects offer you a promising way to kick-start your career in this field. Not only do you get to learn more about Python by applying it, you also get projects to showcase on your CV! Nowadays, recruiters evaluate a candidate’s potential by his/her work. It wouldn’t matter if you just tell them how much you know if you have nothing to show them! That’s where most people struggle and miss out.
You might have worked on several projects before, but if you can’t make it presentable & easy-to-explain, how on Earth would someone know what you are capable of? That’s where these projects will help you. Think of the time you’ll spend on these projects like your training sessions. The more time you spend practicing, the better you’ll become!
We’ve made sure to provide you with a taste of a variety of problems from different domains. We believe everyone must learn to smartly work; hence some advance projects are also included.
First let’s talk about thumb rule.
THE 3 RULES FOR FINDING A PROJECT
- Pick a topic that interests you– If you’re motivated by the topic of a project, you’ll be better faced to take on the roadblocks you face along the way.
- Think about why you are learning– What do you want to eventually do? Maybe you want to get into web development, or maybe robotics? Choosing a project that intersects with this will also help with motivation.
- Don’t aim too big– One of the most common issues with building projects is getting too ambitious, and then getting discouraged as you run into early problems. Pick something small that you think you could achieve in 2–3 weeks. Remember, it’s easier to expand your project later than to try and build something complex immediately.
After you’ve built a few structured projects, you’ll have the confidence and knowledge to start building some more free form projects and extend yourself.
To help you decide where to begin, we’ve divided this list into 2 levels, namely:
- Beginner Level/Intermediate Level: This level comprises of Python Projects which are fairly easy to work with, and don’t require complex techniques. You can solve them using basic python knowledge such as functions, conditional statements etc.
- Advanced Level:This level is best suited for people who understand advanced topics like neural networks, deep learning, machine learning etc. Also, this is the time to get creative. See the creativity brings out best outcome to work and codes.
· Beginner Level/Intermediate Level:
- Dice Rolling Simulator:
The Goal: Like the title suggests, this project involves writing a program that simulates rolling dice. When the program runs, it will randomly choose a number between 1 and 6. (Or whatever other integer you prefer — the number of sides on the die is up to you.) The program will print what that number is. It should then ask you if you’d like to roll again. For this project, you’ll need to set the min and max number that your dice can produce. For the average die, that means a minimum of 1 and a maximum of 6. You’ll also want a function that randomly grabs a number within that range and prints it.
Concepts to keep in mind:
- While Loops
Guess the Number:
The Goal: Similar to the first project, this project also uses the random module in Python. The program will first randomly generate a number unknown to the user. The user needs to guess what that number is. (In other words, the user needs to be able to input information.) If the user’s guess is wrong, the program should return some sort of indication as to how wrong (e.g. the number is too high or too low). If the user guesses correctly, a positive indication should appear. You’ll need functions to check if the user input is an actual number, to see the difference between the inputted number and the randomly generated numbers, and to then compare the numbers.
Concepts to keep in mind:
- Random function
- While loops
- If/Else statements
The Goal: To make simple or scientific calculator.
Calculator can be a good beginner project. You can further add more functionality such as graphic user interface, more complex calculations. You’ll need prompts for user input, and to then print out the full output.
Concepts to keep in mind:
· Advanced Level:
Some good web scraping ideas are listed below
- Quote of the day
- Cricket rankings
- Sports Schedule
- Stock market details
- Weather report
- And much more.
The most important component is the data. You need data to run whatever you want to do project using ML.You can find some free data sets at https://www.kaggle.com.
If you are just starting out, these are the data sets we recommend.
A lot of projects can be done using raspberry pi and python.
You can make a robot, smart mirror or a smart clock.
Remember sky is limit but imagination is limitless and using Python and imagination anything can be made possible.
For more project ideas on raspberry pi this site can help you.
4. Internet of Things or IoT:
The next big thing in the industry is now Internet of Things. Iot is the inter networking of physical devices like sensors, motors or simply a smart device and linking them to cloud, so as to get updates remotely from almost anywhere. IoT has promising applications for smart homes, wearable devices, smart cities, connected cars and more.
Generally Iot projects are very hard but you can follow this link to get started with Iot.
Here at eckovation we provide industry best practical oriented Iot course with industry best mentors.
The best part of this course is that you will be building 6 projects, which will give you a complete idea of how electronics control systems work.
The course include following awesome projects:
- Room Temperature Monitoring System
- Motion Detection System
- Soil Moisture Sensor
- Home Automation System
- Smile Detection using Raspberry Pi Camera
The course offers you cool projects plus guaranteed internship. That’s the most happening thing that can happen to kick start your career.
Some more cool Python projects to consider:
- Face recognition
- Chat bot
- Instagram photo downloader
- Bookstore management system
- Hospital finder
- Water Pumping System
- Pesticide Spraying Drone
- Arduino based Pedometer
- Motor Speed Control using Raspberry PI
- Maze Solving Robot using Arduino
- Sentiment analysis on Twitter or Facebook feed
- Business and Enterprise Applications
- TV show tracker
Some useful websites for more Python project ideas
Do something you like and are interested about, there is a python module you can use for almost any conceivable computing task or problem domain you can conceive. Maybe some text based games, or a simple web app to learn something new.
Leave a comment below and let me know which tool or app you’re going to make with Python.