Top 4 Reasons to Learn Python Programming

Python is based on C, it is a software development language that is deep, huge, and intuitive. Python is an interpreted, object-oriented, high-level programming language with integrated dynamic semantics primarily for web and app development. It is also used in System Scripting. It is extremely attractive in the field of Rapid Application Development because it offers dynamic typing and dynamic binding options.

Why Learn Python Programming?

Why Python is so popular?

Most computer/ IT professionals including data scientists, software engineers, developers, and hackers use Python. It’s one of the most beloved programming languages amongst them, mostly because of how versatile, flexible, and subjected-oriented it is. All of these features make Python the best programming language to work with for professionals and freelancers.

Use-Cases of Python

A lot of mobile and web applications we use today are because of Python’s huge libraries containing various frameworks and vast collections of modules and file extensions.  It doesn’t just end here; Python also works really well for the building of micro-projects as well as of macro web services for huge enterprises, it also supports other programming languages and works really well with them in coordination.

Top Python Applications

  • Python is used to perform several complex and basic tasks such as data science, data mining, AI, Web development, machine learning, Graphic design, web frameworks, embedding systems, gaming, product and network development, rapid application development, automation, testing, and the list goes on and on. 
  • Even though python is a high-level programming language and can perform several complex tasks, it’s extremely easy to learn for beginners owing to its simple and clean syntax.
  • Python is easy to learn and highly recommended for both, beginners and highly experienced programmers. Its easily the best alternative programming language to C, C++, R, Java, etc.
  • Apart from being easy to learn and understand, Python is also very easily accessible to all. To date, there are plenty of resources from where budding programming aspirants can self-study and learn Python. Online resources, coding bootcamps, events, and plenty of other options are available. To this point, it’s safe to say that learning python is just one choice away.

Useful for Aspiring Data Scientists and Machine Learning Engineers

There are a lot of advantages of Python making it different from others. Its applications have made it a demanded language for software development, web development, graphic designing, and other use cases.

Its standard libraries support internet protocols such as HTML, JSON, XML, IMAP, FTP and many more. Libraries are able to support many operations like Data Scraping, NLP and other applications of machine learning. Due to such advantages and uses, students are preferring python programming tutorials rather than other languages.

Top 4 Reasons to Learn Python

Co-authored by Parinita Gupta

Everyone programming or data science aspirant must learn python and here are a few reasons to list so as to why you should learn python:

1. Its easy to learn! So why not?

Learning python is as easy as learning the English language, the only difference is, here you instruct or rather talk to a machine instead of a human being to make the machine perform tasks for you. There are definitely syntaxes and commands to learn but it’s totally like eating a piece of your favorite pie.

Python was built with a goal to omit the complex and only keep the necessary in a programming langue, hence, it’s quite similar to English language and it doesn’t have any weird, hard to learn, complex syntaxes to make it perform a task.

Python, undoubtedly is one of the best and excellent choice for the beginners owing to its extreme simplicity. Due to its close resemblance with English language, it naturally has a high readability factor and therefore its learning curve is way shorter than any other programming language (C, C++, Java, etc.). It truly cannot get any simpler than this!

Python may have completely changed the face of programming languages with its simplicity. Its also pretty easy to set up and you don’t have to really deal with any of those, ‘class, path’ issues like you do in Java, neither the compiler issues like in C++ since it is an already interpreted language.

2. Inclusive, friendly and helpful community

Owing to its popularity, open-source build, simplicity, and free accessibility to all, Python has managed to build itself a huge inclusive and dynamic, well-knit community of extremely helpful people that you can rely on shall things ever go south.

 Even if you are stuck at some coding related or data science issue while programming through python, you can always call out to the python community for help. Thanks to platforms like Quora, Stack Overflow, reddit communities etc. you can find most of your questions answered and chances are, the problem you’ve been facing has already been resolved by someone for you and all you have to do is follow in the community member’s footsteps.

 Also, since its an open source language, every now and then new changes and progress is made within the community by the developers and coders who regularly contribute into prospering the language further.

3. Several programming models, therefore high flexibility and productivity

Python supports several programming models like ‘object-oriented programming’, ‘functional programming’, ‘empirical programming’, and ‘structured programming’.

This allows python to perform cross language programing quite seamlessly which makes python a highly scalable, extensive and portable programming languages. Python is also supported in most of the major platforms like Windows, Linux, Macintosh, Solaris, Play station, and many more.

All of this enables python to be used in the development of both, the largest of apps to the smallest of them. One can use it to engineer various apps and produce games, android apps, web apps, etc. As previously mentioned, since it is an already interpreted language and completely omits the need of compiling the program to detect errors, it helps the programmer detect an error more quickly on the go as they keep programming.

4. Professional growth and higher salaries

Python is growing really big, really fast. All because of how well made and productive it is. Engineers and programmers who know python have been proven extremely profitable for Companies, MNCs etc. Hence, they do not hesitate to pay well to a python developer.

 Right now, is the best time to learn and be highly skilled in python, a major programming language which is completely revolutionizing the world as we see it.

Starting your programming career with python (even as a freelancer) will prove to be extremely beneficial for you. Also, with the sudden boom of data science and the industry realizing the value of data, and how it is indeed a gold mine, the job market for people with skillset in python is more profitable than ever.

In 2019 studies showed that the demand for data scientists has grown more than 400%, therefore definitely investing your time in learning python might be exactly what is worth it.

It won’t just help you get hired quickly but also accelerate your career graph to new heights with extraordinarily huge salary prospects.

Python developers are one of the most highly paid professionals, particularly in data science owing to the fact mentioned earlier, and machine learning and web/ app development. They can make roughly between 70k USD to 150k USD pa depending upon their domain. Python skills definitely enables you to command high salary within the industry and help you prosper beyond your imaginations.

Related Articles:

Python vs R: Usability, Popularity, Jobs & Salaries

Best Online Courses to Learn Python

Free Python Courses Online

About Parinita Gupta

Parinita is a full-time banking professional. Additionally, she is also a passionate blogger and digital marketer.

She mostly writes about the Banking & Finance, Technology, and FinTech sector. But, she also enjoys writing on other topics as well.  You can follow her on Twitter.

Featured Image Source: Data Wider

Translate »
%d bloggers like this: