Gone are the days when programming languages were solely known by software developers. Nowadays, programming skills have become increasingly valuable in various job roles, extending beyond software development. Consequently, there is a growing demand for a programming language that is both easy to learn and offers efficient development with rapid editing capabilities. This is where python comes into play.
Python is one of the most popular programming languages in the world and has amazing features that make it suitable for every person. Moreover, the applications of Python language are growing daily from Artificial Intelligence to Web Development, there is almost nothing that Python can’t do!
Okay enough talking, let’s see what are the must-know key features of python programming language that make it so special for beginners as well as experts:
Table of Contents
Features of Python Language
1. Easy to Read, Write, and Code
Python makes it easy for you to read and write code. When you’re writing Python code, you’ll notice that it looks clean and straightforward. You don’t need to worry about complicated syntax or confusing symbols. Instead, Python uses something called indentation and whitespace to organize your code.
This means that you can easily see how different parts of your code fit together, almost like reading a well-structured story. When you read someone else’s Python code, you’ll also find it easier to understand and follow along. Python’s readability makes it a great choice for writing code that’s clear, concise, and easy to maintain.
Instead of complicated symbols or convoluted syntax, Python uses something called indentation and whitespace to structure your code. Think of it as giving your code some breathing space. By indenting your code blocks consistently, you create a clear and organized structure that helps you (and others) understand the flow of your program.
For example, let’s say you want to write a program that prints “Hello, World!” on the screen. In Python, you would simply write:
See how straightforward that is? The code reads just like a sentence: “Print ‘Hello, World!’” It’s like having a conversation with Python, telling it exactly what you want to do. This readability not only makes it easier for you to write code but also makes it more maintainable in the long run.
When you come back to your code after a while, or when someone else needs to understand it, the clean and clear structure of Python makes it much less daunting to dive back in.
2. Object-Oriented Language
Python supports OOP (Object Oriented Programming) Principles, which helps in making the code more organized for developers. Another Benefit of Object Oriented Language is reusability, it provides features such as classes, objects, and the well-known 4 pillars of OOP — Inheritance, Abstraction, Encapsulation, and Polymorphism.
Well, imagine you’re building a house. Instead of starting from scratch every time, you can create a blueprint or a template for your house. This blueprint outlines the structure, design, and functionality of the house.
In programming, objects are like the real-world objects we encounter every day. They have properties (characteristics) and behaviors (actions they can perform). Just like how you can have multiple houses built from the same blueprint, in Python, you can create multiple objects from the same class.
Python’s support for OOP gives you the flexibility to structure your code in a way that closely reflects the real world. It encourages modular and reusable code, making your programs more organized, easier to maintain, and less prone to errors, hence making it one of the good features of python.
3. Large Standard Library
When it comes to Python, one of the coolest things is its large standard library. You might be wondering, what exactly does that mean?
The standard library in Python offers a wide range of modules and functions that can save you loads of time and effort. These modules provide solutions for common programming tasks, such as reading and writing files, handling network connections, working with databases, and even building web applications.
For example, let’s say you want to write a program that reads data from a file. Instead of starting from scratch and writing all the code to handle file operations, Python’s standard library already has a module called “fileinput” that can simplify the process for you. You can simply import this module, and it provides you with ready-made functions to read and process the contents of files.
The standard library goes beyond just file operations. It offers modules for working with dates and times, performing mathematical calculations, handling email communications, parsing XML and JSON data, and much more. Whatever task you have in mind, chances are there’s already a module available in the standard library to help you out.
What’s great about the standard library is that it’s part of the Python language itself. You don’t need to install any additional packages or worry about compatibility issues. It’s all there for you to use right out of the box.
4. Cross-Platform Compatibility
Python is a programming language that can run on different types of computers, like Windows, macOS, or Linux. This means that you can write your Python code on one operating system and then run it on another without having to make a lot of changes.
This cross-platform compatibility makes Python convenient because it gives you the freedom to work on different computers and operating systems without any major hassles. So, whether you’re using a Windows PC, a Mac, or a Linux machine, you can write and run Python code seamlessly.
This flexibility is especially helpful if you collaborate with other developers who use different operating systems. Python’s cross-platform compatibility ensures that your code works consistently across different environments. It saves you time and effort because you can focus on writing code that solves problems and builds applications, rather than getting caught up in platform-specific issues.
5. Interpreted and Interactive
One of the most amazing characteristics of Python is how easy it is to use and understand, which is one of the reasons why many people love it. When we say Python is an interpreted language, it means that you can write and execute your code line by line, without having to compile it beforehand.
This makes the development process faster and more convenient, especially when you’re just starting or when you want to try out new ideas quickly.
You can write a few lines of code, hit enter, and immediately see the results. It’s like having a conversation with Python, where you can ask it to perform certain tasks, and it responds right away. This interactive mode is great for learning because you can experiment with different code snippets and see the output instantly.
Python’s interactive nature also allows you to explore and understand how things work step by step. You can break down complex problems into smaller parts and execute each part independently to see if it’s working as expected. This helps in troubleshooting and identifying any issues in your code more easily. It’s like having a patient teacher who guides you through the learning process, patiently explaining each step along the way.
Moreover, Python’s interpreted nature makes it ideal for prototyping and rapid development. You can quickly write and test code without the need to go through a lengthy compilation process. This means you can iterate and refine your code more efficiently, making it a valuable tool for projects that require frequent experimentation and modifications.
6. High-Level Language
When we say Python is a high-level language, it means that it allows you, as a developer, to focus more on solving problems and writing code in a way that’s easier for you to understand. You don’t have to worry too much about the nitty-gritty low-level details that can sometimes make coding more complex and time-consuming.
In simpler terms, Python takes care of the behind-the-scenes work for you. You don’t have to deal with tasks like managing computer memory or worrying about the specific hardware requirements of different systems. Python handles all of that for you, so you can concentrate on writing code that solves real-world problems.
Because Python is a high-level language, you get to work with a more human-readable syntax. The code you write in Python looks more like everyday English, making it easier for you to understand and maintain. Python achieves this by using indentation and whitespace to structure code blocks instead of relying on complex syntax like other programming languages.
So, when you write Python code, you can express your ideas and logic in a way that closely resembles how you would explain it to someone. This readability not only makes coding more enjoyable but also makes it easier for you and other developers to collaborate on projects.
7. Dynamically Typed Language
In Python, one thing that sets it apart from some other programming languages is that you don’t need to worry about explicitly declaring the type of a variable before using it. This is because Python is dynamically typed.
What does that mean for you as a developer? Well, think of it this way: when you create a variable in Python, you don’t have to tell the language what kind of data it will hold, like a number or a text. Python figures it out for you automatically as you go along.
Let’s say you want to store a person’s name in a variable called “name.” You can simply assign a string like “John” to it, like this:
name = "John"
Python recognizes that “John” is a string, and it knows that the variable “name” will hold a string value. You can then use that variable to perform various operations, such as printing the name or manipulating it further.
But here’s the interesting part: Python allows you to change the type of a variable on the fly. So, in the next line of code, you could assign a number to the same variable “name” without any issues:
name = 42
Python doesn’t complain or throw an error because it’s dynamically typed. It adapts to the new value and changes the type of the variable “name” to an integer. This flexibility can be quite handy when you’re experimenting or need to switch between different types of data.
8. Extensive Third-Party Libraries
When you’re working with Python, you have access to a vast collection of additional tools called third-party libraries. These libraries are created by other developers and provide ready-made solutions to common problems, saving you time and effort in writing code from scratch.
These libraries as toolkits filled with pre-built functions and modules that you can use to add specific functionalities to your Python programs. They cover a wide range of areas, from scientific computing and data analysis to web development, machine learning, and more.
If you’re working on a project that involves analyzing large sets of data. Instead of building all the necessary data manipulation and analysis functions yourself, you can leverage libraries like NumPy and Pandas. These libraries provide efficient and optimized tools for handling arrays, matrices, and data frames, making complex computations and data manipulation tasks much easier.
If you’re interested in creating interactive data visualizations or plotting graphs, you can turn to a library called matplotlib. With just a few lines of code, you can create beautiful and informative visual representations of your data.
9. Scalability and Integration
Python is capable of handling projects of different sizes. Whether you’re working on a small script or a large-scale application, Python can adapt to your needs. This flexibility is great because it allows you to start small and gradually expand your project as it grows. So, no matter the scope of your project, Python can handle it!
Python also shines when it comes to integration. It plays well with other programming languages like C, C++, and Java. This means you can easily combine Python with existing code written in those languages. It’s like having a toolbox with multiple tools that work together. By integrating Python with other languages, you can leverage the strengths of each language and create more powerful and versatile applications.
So, when we talk about scalability and integration in Python, we’re referring to its ability to handle projects of varying sizes and seamlessly work with other programming languages and operating systems. Python’s flexibility and compatibility empower you to create projects that grow with your needs and easily integrate with existing code or external libraries.
10. Community and Support
Python has a vibrant and supportive community of developers from all around the world. As someone learning or using Python, you become a part of this community, gaining access to a wealth of resources, expertise, and encouragement.
When you have questions or face challenges while working with Python, you don’t have to go it alone. The community is there to help you out. Online forums, discussion boards, and dedicated Python communities are bustling with enthusiastic developers who are eager to share their knowledge and provide assistance.
Apart from the community’s generosity, another valuable aspect is the extensive documentation and tutorials available. Python has well-documented resources that cater to different learning styles. You can easily find tutorials, guides, and examples that explain various Python concepts and libraries clearly and understandably. This makes it easier for you to grasp new concepts and expand your Python skills.
The features of python programming language that we just discussed including its ability to understand code line by line, a large library of open-source packages, platform independence, expressiveness, extensibility, and embeddability make it an excellent candidate for a wide range of development projects.
Python enables you to swiftly and simply create complicated software. With its extensive community support, you may work with code more easily and efficiently at any level of expertise. So, this was all about the essential features of python language. Hope you got a good understanding of the overall concepts of Python.