Python Features: 10 Unique Features Of Python You Should Know

Python is the fastest-growing programming language in the world compared to any other programming language. Python has some of the most unique features and provides very ease to programmers by breaking complex programming into simple modular forms. Also, Python is the third most popular programming language in the world right now. In this article, we’ll cover the most unique Python features that you should know.

Related: 9 Best Python IDEs and Code Editors

Here are 10 Unique Features Of Python You Should Know

Here we’ve compiled the list of all unique and important features so that you get an easy overview. So, let’s begin.

1. Syntax

Print Hello world

If you’ve tried C, C++, or Java, these require at least 5-6 lines of code to just print “Hello, World!” on the console. Well! This is not the case with the Python language. You can print hello world using just a syntax print “hello world!”

2. Dynamic

Dynamic explains why Python is so simple. Unlike C/C++ and Java, Python is a dynamically typed programming language in which you don’t need to assign the type of variable/data types in front of a variable. It dynamically detects data type from the value of the variable at compile time.

Let’s understand with examples:

Dynamic feature in Python 1

As you can see in the above images, you don’t need to assign the data type to the variables. You just need a unique variable name and assign any value you want. It will automatically assign data type at program compile time. That’s the main benefit of Dynamic. For your kind information JavaScript is also a dynamic programming language.

3. Interpreted


Python is a high-level interpreted programming language. In an interpreter, programs are executed line by line from high-level to low-level language or machine language. It makes debugging a lot easier and so for error handling. However, interpreters are slower than compilers but there are some major advantages over compilers as well. In Python, source code is compiled into .py format first, also known as Bytecode and this byte code can run on any computer architecture.

4. Web Development


Python is used for Web Development. Flask and Django both are extremely popular Python frameworks for web development. Python provides very powerful tools to work with websites such as a built-in development server, integrated support for unit testing, a fast debugger, Jinja2 template, and many more. You can interact with databases (MySQL, MS SQL, etc) as well. To become a web developer in Python you must have basic knowledge of HTML and CSS before. For your information, Flask is recommended for beginners and Django for advanced users.

5. Python for Data Science


There are many applications of Python and Data Science is of them. After R programming, Python is highly integrated with data science. It provides so many scientific tools to interact with data science such as TensorFlow, Thea-np, PyTorch, Apache spark, NumPy, Matplotlib, Keras, and many more. These tools are open source & free to download. You can use these to visualize data, and statistical calculations, and also interact with databases. Along with that, You can learn Machine learning, Artificial Intelligence (also known as Neural programming), and other advanced topics.

6. Portable

Python is Portable

As I explained above how Python program gets executed on a machine. In the first round, the program compiles into byte code, then machine code. And because of byte code Python is portable.

Now let’s understand it in a better way with examples. Let’s suppose you’ve written a Python program for Windows. Now if you want to run it on Linux or Mac, you don’t need to make any changes to the program source code. In simple words, you can write code for only one platform and, then you can run it on any platform. So you can also say that Python is distributed as well.

7. Integrated


Integrity simply shows the flexibility of a programming language with another programming language. Python easily can be paired with other programming languages like C/C++ and Java codes and embedded into the real application.

Programming Fact: Both(Java+Python) codes compile into Bytecode using the Python compiler, which is entirely written in Java.

8. Very Large Standard Library 

Python is very vast and widely spread into multiple platforms and so for its standard library. It provides a very large standard library supporting tons of frameworks, packages, tools, etc. Some popular libraries are TensorFlow, Scikit-Learn, Numpy, PyTorch, etc. You can learn the whole documentation of the Python Standard Library. Also, you may like the top 10 Python Libraries.

9. GUI Programming

Yes! Python supports GUI Programming. Tkinter, Kivy, and pyGUI are some frameworks of Python, that offer you tons of tools to make an interactive GUI program. Also, it supports cross-platform GUI programs. Here are the 6 best Python GUI frameworks you may like. To get started with GUI in Python, You must start with Tkinter first. Click here for Tkinter tutorials.

10. Scripting & Hacking

Python is a General Purpose Scripting language along with a programming language. Yes! it can be used for building programs as well as for ethical hacking purposes. You can use it to automate the task or process. Scanning vulnerability, Password attacks, and other operations are very easy to perform with Python.

Why You Should Choose Python?

As you can see, Python is a very powerful multi-purpose programming language. With this huge library support and tons of Python features Python easily can replace many popular programming languages. Along with all these features, Python provides simplicity and very ease to the programmer. That’s the main reason why many programmers are shifting towards Python and you should also choose Python as your first programming language.

Well, I’m not pushing you to choose the Python programming language. There are many options available in the market, you can choose whatever you want. Every language has its priority and some pros & cons, however, you’ll get more opportunities in Python language.

Leave a comment