Python is one of the most popular and widely used programming languages of today.

It is one of the most loved programming languages by developers, data scientists, software engineers, and even hackers because of its versatility, flexibility and object-oriented features.

Many of the web and mobile applications we enjoy today is because of Python’s abundant libraries, various frameworks, vast collections of modules and file extensions.

Not only that, Python is great for building micro-project to macro enterprise web services as well as on supporting other types of programming languages.

Although it’s a high-level language and can do complex tasks, Python is easy to learn.

Python has a nice and elegant syntax that allows you to write concise and readable code. Therefore, its recommendable for both beginners and experienced programmers.

It’s applied by beginners and professionals, start-ups and large companies, academic and commercial entities. As a general-purpose and multi-platform programming language, it has a variety of applications.

Python is an important programming language that all developers should know.

Many programmers use this language to make websites, produce learning algorithms and perform different necessary tasks. Python is considered as one of the most popular and in-demand programming language.

7 reasons why you should learn Python:

1. Python Is Easy to Learn

Python is extremely simple and easy to learn.

It is a very powerful language and it closely resembles the English language. Python is free and open source, high-level, interpreted and blessed with large community.

It’s “easier” compared to many of the other programming languages available to you. There isn’t a lot of ceremony to Python’s syntax, which makes it readable even when you’re not a Python expert. Furthermore, in Python, you don’t have to deal with complex syntax.

2. Python Is a General-Purpose Programming Language

Python is useful for a variety of applications like data science and machine learning, Web development, Internet of Things devices, desktop and mobile applications development and just automating repetitive tasks.

This is due to the simplicity and flexibility of the language and interpreter. Also, due to the existence of a large number of third-party open-source libraries.

3. Python is productive
Working with the Big Data (collecting it, analysis, processing,usage) is the future.

The more data you have to process, the more important is the management of used resources and code’s effectiveness.

Python lets you build more functions with less code, for example you can build a unlimited game in two days. The extensive support libraries and clean object-oriented designs increase two to ten the programmer’s productivity.

Its strong process integration features, unit testing framework and enhanced control capabilities contribute the increased speed for applications.

4. Professional skills
There are many languages for educational purposes such as Scratch or Logo.

Surely, they can help you with learning the logics of programming, some of them gets to the schools, and it’s a good trend.

So, reach for Python! It’s really approachable, and will immediately give you a concrete professional asset — programming.

5. Career Opportunities
Even though it is a very easy language to begin with, Python opens a lot of doors for you.

Your career as a programmer can grow along with Python every day. In the professional world, Python and Ruby developers earn the second highest grub, next to Swift.

In India, the average package of a Python developer with around 4 years of experience is approximately 5 lacs per annum. Python also finds use in cyber security.

Developers who works with Data Science, Machine learning and web development are one of the highest paid. This is why Python is worth learning.

6. Python in Artificial Intelligence and Machine Learning

AI is the next huge development in the tech world. You can actually make a machine mimic the human brain which has the power to think, analyse and make decisions.

With Python, it is possible to carry out complex computations using a single import statement followed by a function call.

Today, Python is preferred as the language for computer science research. With its speed and flexibility, it is here to stay. Data is the base in this subject, doesn’t matter what field you want to be in, it’s going to be there. Python is one of the commonly used programming languages for Data Science and Machine Learning.

7. Testing Framework

Python is great for validating ideas or products for established companies.

Python has many built-in testing frameworks that covers debugging & fastest workflows. There are a lot of tools and modules to make things easier such as Selenium and Splinter.

It supports testing with cross-platform & cross-browser with frameworks such as PyTest and Robot Framework. Testing is a long task and Python is the booster for it, so every tester should definitely go for it!