Why you should learn Python? Python was released in 1991 by Dutchman Guido van Rossum as an interpreted programming language with an emphasis on readability. In this article, we will cover the top reasons for why you should learn Python if you want to code. This article will be helpful for you to understand the computer science domain, and why is Python the most reasonable choice to learn how to code and build a career out of it.
To be clear, Python can do a variety of things. But it is not always the best option to code in Python. Based on the requirement for the product, the reasons for choosing any language may vary. It is undeniable that Python has a variety of features up its sleeves, which make it a fascinating programing language. Python is a general-purpose language with a lot of diverse applications.
Other social, economical, and environmental advantages attract beginners, professionals and enterprises to learn Python and use the python language for development.
Top 15 reasons for why you should learn Python:
1. Python is Simple, Easy and Expressive
With Python, the code looks very close to how humans think. Python for beginners is easy to learn. Python has few keywords with a simple structure and a clearly defined syntax. This design philosophy of Python programming language allows the student to pick up the language quickly.
2. Python is Free and Open source
Python language is free to use and distribute, including for commercial purposes, for it is developed under an OSI-approved open source license. Python is compatible with Windows, Linux, macOS, many brands of Unix, OS/2, and more. Plus, it uses a similar interface on each platform so that you can jump between them easily. Therefore, there is a large community of programmers from several different backgrounds contributes to the language in significant ways.
No matter what problem you’re trying to solve, the chances are good that they have shared code, documentation, tutorials, and examples to help program a solution in Python.
3. Python is a High-Level Programming Language
With Python, the code looks very close to how humans think. For this purpose, it must abstract the details of the computer from you: memory management, pointers, etc. Hence, it is slower than “lower-level language” like C.
4. Python is Interpreted and not Compiled
Sure, this statement is a gross simplification, but it’s somehow correct. During the execution, Python code is interpreted at runtime instead of being compiled to native code at compile time. Internally, Python converts the source code into an intermediate form called bytecodes.No need to worry about linking and loading with libraries, etc.. Since the code is interpreted line by line, debugging is easy and suitable for beginners.
5. Python has Multiple Programming Paradigms
Python supports several programming paradigms. It supports object-oriented and structured programming fully. Also, its language features support various concepts in functional and aspect-oriented programming. At the same time, Python also features a dynamic type system and automatic memory management. The programming paradigms and language features help you to use Python for developing large and complex software applications.
6. Robust Standard Library
Python’s standard library allows you to choose from a wide range of modules according to your precise needs. Each module further enables you to add functionality to the Python application without writing additional code. Python provides exceptional handling features along with inbuilt memory management techniques.
7. Rich Library, Frameworks and Development Tools Support
As an open-source programming language, Python helps you to curtail software development cost significantly. You can even use several open-source Python frameworks, libraries, and development tools to curtail development time without increasing development cost. You have the option to choose from a wide range of open-source Python frameworks and development tools according to your precise needs.
For instance, you can simplify and speed up web application development by using robust Python web frameworks like Django, Flask, Pyramid, Bottle, and Cherrypy.
8. Python is Versatile
Python has a diverse set of applications in the technical domain, such as – web development, Big Data, Artificial Intelligence, Games, Enterprise and Business Applications, Automation, Machine Learning, Data Science, Internet-of-Things, Cloud Computing. The reason behind such versatility of Python language is because of its readable and maintainable nature of coding syntax, and the adoption of test-driven development.
Python has been the fast-growing language among the top 5 languages. Partially due to the boom in AI, Machine Learning, and Big Data. Since Python is easy to understand, requires fewer lines of code to do a specific task, and it already being open source, Major technological players have betted on Python for product development. The explosion of the use of Python in booming industries like – Artificial Intelligence, Machine Learning, Data Science, and the Internet of Things has attracted great Corporate Sponsors, which translates to a lot of well-paying jobs for programmers.
10. Python is more Productive
The simplicity of code syntax, the readability, the versatility of applications, and the robust mechanism for memory management and error handling for debugging the code has proven Python to be a very productive language for the enterprises. The vast community, publically available queries, and codes save a lot of time and money for the coder and the company.
11. Python is in Academia
Academia is fueling the adoption of Python. Computer science curriculums now include Python as a core language requirement. Granted, programmers still need knowledge of other languages, but the rising demand for data science, machine learning, deep learning, and artificial intelligence specialists is making Python the go-to tool.
There are many applications for which Python is a great option, including data science, AI and machine learning, web development, and the Internet-of-Things (IoT) with devices like the Raspberry Pi, which is most popular among students and research bodies across the globe.
12. Python has some Great Corporate Sponsors
It helps big time when a programming language has a corporate sponsor. A vast majority of web applications and platforms rely on Python, including Google’s search engine, YouTube, and the web-oriented transaction system of the New York Stock Exchange (NYSE). In 2016, the Instagram engineering team boasted that they were running the world’s largest deployment of the Django web framework, which is written entirely in Python.
This music streaming giant Spotify is a massive proponent of Python, using the language primarily for data analysis and back end services. The same goes for other Technology giants like Quora, Netflix, Dropbox, Reddit.
13. Python has a Very Active Community
Programmers from several different backgrounds contribute to the language in significant ways. No matter what problem you’re trying to solve, the chances are good that they have shared code, documentation, tutorials, and examples to help program a solution in Python. There are numerous IDEs and other development tools to choose from, and thousands of open source packages available to extend Python to do just about anything technically possible.
14. Python Drives ML and AI
Machine Learning, Artificial Intelligence, Neural Networks, and Deep Learning are few highly specialized fields where the whole industry is pouring a lot of money, for it has shown signs of how personal and enterprise-level computing will be in the future. Most of these programs are written and run using Python language. A lot of demand for ML and AI professionals is rising every day, with the average salary is among the highest in the industry.
Stack Overflow found. “According to the data that we have, the patterns of visits that we see people using Python for data science is what is behind the dramatic rise in the use of Python,” Silge said.
15. Python is powering the Internet Of Things
With the rise of the Internet of Things – small low-power devices that are connected to the internet and can run any custom code – Python has risen to the top for a lot of the tools you can buy to perform innovative experiments. Devices like the Raspberry Pi are tiny and connect to a multitude of sensors, displays, lights, robots and more, and allow you to write code to communicate between these parts, as well as send and receive data over Bluetooth, the internet and other communication methods. With 5G just around the corner, everything is about to change.
So I hope you all have understood what the features of Python are and what makes it unique.
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