The demand for Python programming language is steadily increasing because of its powerful, versatile, and open-source nature. As a result, the demand for python developers is also increasing. By building your expertise in Python, you can unleash endless career opportunities. If you have been wondering how to learn Python, then you have reached the right place. This article includes everything you need to know about Python.

What is Python Programming Language?

Python is an object-oriented, general-purpose programming language that was released for the first time in 1991 and developed by Guido van Rossum. It is mainly used for developing web applications and desktop GUI applications. Because Python is a high-level language, it allows developers to focus on the core functionalities of the application while it takes care of all the common programming tasks. With high readability, the syntax of Python is simple and easy to learn. Python also supports packages and modules which in turn allows you to reuse code easily. You can use Python for backend or server-side development, performing mathematical computations, and processing big data. Developers also use Python for data science and machine learning purposes. 

Features of Python Programming Language

1. Easy maintenance and reusability of code

Unlike other programming languages, Python emphasises on code reusability and allows you to use English keywords. This, in turn, gives you the power to build custom applications on Python without the need to write any extra complicated code. The ultra-clean and readable code also makes it easy to maintain and update your software without putting in any extra efforts or time. 

2. Support for various programming paradigms

Python provides complete support for object-oriented and structured programming. It also has automatic memory management and a dynamic type system. The support for all the different programming paradigms and language features in Python programming language helps users in developing complex and large software applications.

3. Seamless compatibility with all the major platforms and systems 

Python supports all the major operating systems including Mac OS, Windows, and Unix. More importantly, Python is an interpreted language which means you can run the same code on different platforms without the need to recompile it again. You can also run modified code directly without recompiling it which decreases the overall development time and allows you to make changes faster to the code.

4. Exhaustive standard library

Python offers a robust and large standard library with a wide range of modules that you can use according to your needs. By adding modules in your Python application, you are able to add extra functionality without writing any kind of additional code. For instance, you can add modules in your Python application for performing string operations, implementing web services, checking internal protocols, managing operating system interface, and much more. You can find all the details about the different modules on Python’s official website.  

5. Open source tools and framework

Since Python is an open source programming language, it allows you to access all of its development tools, libraries, and frameworks free of cost. This, in turn, speeds up your development time and decreases the total cost of developing a Python application. Some of the many Python web frameworks include Django, Pyramid, Flash, Cherrypy, and Bottle. Python also has many GUI frameworks and tools like PyGUI, PyQT, PyJs, and WxPython. 

6. Development focused on testing 

Python follows a test-driven approach (TDD) which allows you to code and test simultaneously. In fact, you can write the required tests even before you start coding and then use the tests to check your application code’s feasibility in real-time. You can also use these tests to ensure that the Python application you are building meets all the predefined requirements. This allows you to quickly create prototypes in Python and then directly build software applications from the prototype by just refactoring the code.

7. Python Programming Language: Quick automation 

Automation is one of the most powerful features of Python. You can write system scripts in Python to automate repetitive and time-consuming tasks like copying files, uploading assets to servers, changing file names or just performing calculations. This can vastly improve your productivity and decrease the total time it takes to build a Python application.

The vast features of Python have made it a popular choice for companies. Developers also readily use Python for data analysis and visualisation. That is because Python is not just another traditional language, it is one the top languages for emerging data science fields like machine learning and artificial intelligence. 

If you have been planning to pivot your career towards data science, learning Python is a great way to start. You can also take a look at the data science courses offered by Springboard that comes with Python programming prep and a 1:1 mentoring-led, project-driven approach along with a job guarantee for all students. Try it out now.