The world of programming is really vast but still, no one can deny that Python 3.7 is one of the fastest growing programming languages amongst an entire lot of languages. In high-income countries like Germany, Canada, US, UN, India etc., the use of python as the primary programming language is getting increased day by day. It is becoming a favorite language of developers.
The reason behind the popularity of Python 3.7 is its simplicity and flexibility. In recent times, in one of the interviews Wojciech Lichota, Head of Service Delivery at STX Next, said, “Python’s readability and flexibility impressed me so much that on that day, I became a Python fan for life.” Programmers worldwide prefer to use python as python focuses on removing clutter and reducing the complexity of the programme.
Big names like Google, Instagram, Quora and YouTube use Python as their programming language. Python is perfect to analyze and visualize complex data and transform it into simpler and easily understandable one especially in industries with the financial background. It is the best language to solve, understand quantitative problems and assess the risk associated with the same. The language is being used worldwide by investment bankers and major trading companies.
Here are few reasons that make Python 3.7 favorite of all:
Simplicity and flexibility:
Simplicity of the language is the first reason that makes it a favorite with every programmer. The working nature of Python 3.7 focuses on cutting down the complexity, it will only do what is expected out of it and will prompt you there and then if you go anywhere wrong. The other languages are little lesser strict and do not prompt if nothing major is wrong which may sound good but it is always better to be corrected. Moreover, it uses commonly used English words as its language rather than using any complex language making it easier for the user to understand and use. Its simple and easy syntax rules make this language flexible enough to accommodate according to the user.
For Example: In other languages, if you to create any list, you may have to use arrays, vectors, collections and what not, but in python, it is really easy and quick to make any list. Let’s say you want to create your list of work to be done in a day.
todo_list= [‘ Cooking’, ‘Studying’, ‘Shopping’]
Open to reuse existing modules:
Even after being simplest, python 3.7 is open to reuse existing programming code modules in order to complete any task. This feature of python 3.7 saves programmer to start from step 1 and frame the entire module from the scratch. One can reuse the modules if they encounter any problem in between the programming. Python has its own inbuilt library that offers the vast range of options to programmers. The strength of Python 3.7 lies in its reach, the language which has such exposure in worldwide industries is must learn the language for all the programmers.
Open for cross-platform operations:
Python 3.7 is a programming language that is compatible with almost all platforms. It works well on MS Windows, Linux, MAC operating system and on many other such platforms. There is a website Python Anywhere which allows you to use services of Python on any platform. This feature of python allows it for school students as well, as they can this language on their school systems only as no special operating system is required to run the same. Moreover, the python website is a solution for everyone who does not want to install the full programme setups on their systems or are not allowed to do the same.
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When we make any list, it is always better to make it precise and break the list in the subheading to make it more understandable. When main tasks are broken into subtasks it becomes really easy to complete the tasks in lesser time, such method of breaking down the work into subheadings is called scoping. Python does the same for you, it breaks down the assigned work and focuses on making it easily understandable and achievable by you.
The language implements a code in a simpler way and breaks it down and frame the codes together that relate to each other. This way of making things simpler makes it easy for the learner to learn things. For eg; in general English language, the statement which is more complex with lot many symbols is difficult to understand in the same way the simpler the programming language, easier it is to learn the same.
Python 3.7 is user-friendly and its simplicity makes it easy to understand for first-time learners as well. Moreover, it not only helps to remove clutter and make things simpler for you but also breaks it down in the order of their relativity making it easier for you to complete the tasks in the much simpler way.