In this article, we’ll go over 15Python projects with code that’ll help you build a portfolio, and level up your Python programming skills.
We’ll start by discussing why you should learn Python, followed by helping you choose a development environment. Along the way, we’ll also help you with tips to learn Python effectively. We’ll then walk you through a list of 15 beginner-friendly Python projects, covering a wide variety of topics.
For all of this and more, let’s begin!
Why Should You Learn Python?
Easy-to-read syntax, a variety of built-in modules, and a supportive community make Python a great first programming language to learn.
Once you’re familiar with programming fundamentals, you may want to choose a path to specialize in, and learn specific skills.
Read through the following list of specializations. Does any of them interest you?
These are some of the most sought-after tracks; you could do all of these and much more with Python!
So if you’re looking to learn Python, the best time to start is now! ⏲
What are the Best Python IDEs and Code Editors to Use?
If you are beginner Python programmer, you’d likely need some help choosing the best development environment.
To solve coding problems and build simple modules, a code editor will suffice. As you start building larger projects with multiple modules, you may want to consider an integrated development environment (IDE). An IDE helps you manage installations, develop, and debug in the same environment.
Here are our top picks for Python code editors and IDEs.
#1. Sublime Text
With a friendly interface, support for Markdown, and multiple programming languages, Sublime Text is one of the code editors you can use for scripting in Python.
#2. Geekflare Online Python Code Editor
We have a library of Python tutorials, and you can open up Geekflare’s online Python editor and try running the code snippets, as you go through the tutorials You can do this right from your browser – no installation needed!
#3. Jupyter Notebook
Are you someone who likes to add descriptive text and images to document your project, in addition to writing code? If yes, Jupyter notebook could be a great choice to showcase your projects!
Apart from the traditional notebook interface, there are several Jupyter alternatives that provide better collaboration, and enhanced features.
PyCharm from JetBrains is another popular IDE for Python. You can manage your projects inside virtual environments, install required packages, and profile your Python code. There is a free community edition that you can use.
#5. Visual Studio Code
What is the Best Way to Learn Python?
Now that you have a list of options for your development and programming practice, let’s see how you can learn Python effectively.
There are three steps to learning any programming language effectively.
Step 1: Learn the fundamentals
This would include learning the basic syntax, data types and built-in data structures, programming fundamentals such as conditional statements, loops, functions, and so on. You may learn Python fundamentals online from platforms like Udemy.
Step 2: Build projects
Learning the syntax is just the tip of the iceberg when it comes to mastering a programming language. The actual learning happens when you build projects applying what you’ve learned.
Step 3: Practice
At this point, you’ve understood the fundamentals, and have also built projects.
How do you ensure that you remain familiar with all that you’ve learned?
Well, deliberate practice is the key. This means you should revise and practice periodically, and flex your coding muscles.
Beginner Python Projects
As building projects and practicing problems is the key to effective learning, we’ve put together a list of 15 beginner-friendly Python projects and coding questions—all explained with code.
These practice problems and projects will start by focusing on fundamentals. The list will then gradually introduce you to different Python modules, and programming paradigms like object-oriented programming (OOP) – to help you go from a beginner to an intermediate Python programmer.
Let’s get started.
Solve Problems on Python Strings
A a beginner Python programmer, you should be familiar with Python strings and string operations. To help you level up, we’ve put together a tutorial covering interesting problems around Python strings.
Problems you’ll solve:
Check whether a given Python string is a palindrome.
Verify whether or not two strings are anagrams.
Given a string containing the first name and last name, check if the name string is formatted in the title case.
Along the way, you’ll also learn important concepts like string slicing and string reversal in Python.
Once you’ve ramped up on core Python fundamentals, it’s important to learn the basic searching and sorting algorithms, and we’ve got you covered with comprehensive tutorials on the same.
Searching Algorithms in Python
If you’d like to search for a specific element in an array, you’ll take the help of search algorithms.
Linear search with O(n) complexity, for input array of size n
Binary search with O(log n) complexity
While linear search is the best you can do when the input array is not sorted, binary search is the most efficient when you have a sorted array. This is because binary search works by reducing the search interval into half at each successive step.
I hope you found a few interesting practice problems and projects you can add to your portfolio. As you keep adding new skills to your Python toolbox, you should always remember to supplement your learning by building projects. Remember, consistent practice is the key to getting better at programming.
See you all in another Python tutorial soon! Happy learning!
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