Are you a regular reader of this blog? You may be wondering why I’m writing a blog post to encourage people to learn Python in a Java blog. After all, didn’t I advise preferring Java over Python a couple of years ago? But so much has changed since then! In 2016, Python surpassed Java as the most popular language on college and university campuses, and has only gained traction since then. Python isn’t slowing down – its growth is booming, something that can be seen in programming and technology news outlets as well as popular developer communities such as Stack Overflow and CodeCademy.

The biggest question is why would a programmer learn Python? Python is growing, and that’s great, but it doesn’t mean Java or C++ are going away.

Despite being a Java developer, and it will always remain my preferred programming language, we shouldn’t stop ourselves from learning potential new tools and programming languages, which will make us better programmers, and Python fits the bill.

Beginners should start with Python because it’s easy to learn and powerful enough to automate boring tasks and build web applications.

Several years ago, scripting was the main reason for learning Python, and also the main reason I preferred Python to Perl, another popular scripting language at that time.

For experienced programmers or someone who already know Ruby, Java, or JavaScript, learning Python means acquiring a new and powerful tool in your arsenal. I have yet to come across a programmer who says no to a tool, which is the right way to look when you learn a new programming language.

Automating trivial tasks with Python allows you to focus on more exciting and useful things instead of worrying about trivial stuff. In case you are a Java developer, Groovy can be used for that, but Groovy doesn’t offer the same extent of reach as Python in terms of APIs, libraries, frameworks, and domains like Data Science, Machine Learning, and Web Development.

There is no better way to start learning Python in 2023 than joining theBest Python Training Institute In Kolkata.

2023, why should programmers learn Python?

The following 10 reasons highlight the benefits of learning Python in 2023 if you’re considering learning it but not sure why.

It is true that the questions depend on who is asking them, i.e., for a beginner, learning Python makes sense because Python is a simple and straightforward language.

Similarly, for an experienced programmer who wants to go into Data Science and Machine learning, learning Python makes sense since it is fast becoming the most widely used programming language, and there are powerful APIs and libraries available for AI, Data Science, and Machine learning.

In any case, here are my 10 reasons to learn Python in 2023:

Data Science

It is for this reason that many programmers will learn Python in 2023. Because of exciting work and high pay, many of my friends are learning Python on Udemy to make a career in Data Science after getting bored with Java programming jobs in Investment banks.

What makes Python a preferred language for Machine Learning and Data Science? Didn’t R used to be the best language for that? Among the reasons, I believe, are the libraries and frameworks Python offers on AI, Data Science, and Machine Learning, like PyBrain, NumPy, and PyMySQL.

Additionally, Python allows you to do a lot more than R, for example, you can automate stuff, go into web development, etc.

If you are interested in becoming a Data Scientist in 2023 and looking for pointers, I suggest you check out Data Science, Deep Learning, & Machine Learning with Python course on Udemy. It is an excellent course, and you can usually get it for less than $10.

Here is a list of the best Python Data Science courses for programmers if you need more options.

AI (Machine Learning)

The growth of machine learning in the last few years has been phenomenal, and it’s quickly changing everything around us. This is another reason programmers will be learning Python in 2023. Algorithms become more sophisticated every day; one example is Google, which can now answer anything you ask for.

Python is the only major programming language that makes machine learning easy, whether you are interested in doing a pet project or just playing around.

There are machine learning libraries available in Java, but the developer community prefers Python over anything else when it comes to data science and machine learning.

On Udemy, you can find Machine Learning A-ZTM: Hands-On Python & R In Data Science if you are interested in machine learning with Python.

If you need more options, here is another comprehensive list of machine learning courses for programmers.

Development of Websites

The fact that Python offers so many useful libraries and frameworks, such as Django and Flask, makes web development so easy is another reason to learn it.

On Udemy, there is a free Python course that teaches that while teaching Python. Python can also be used for web scraping.

Python web development frameworks, such as Django and Flask, can help you quickly create your web application.

Keeping it Simple

When you’re just starting out with programming and coding, you don’t want to start with a language with complex syntax and weird rules.

Aside from being readable and simple, Python is also easier to set up; you don’t have to worry about class path problems like Java or compiler issues like C++.

It will also ask you to add Python to PATH, which means you can run Python from anywhere on your computer.

Community of Large Size

When it comes to learning a programming language, friends are your biggest asset. You get stuck with one thing or another, and you need someone to help you.

You can find a Python-related solution on Google in minutes. Communities like StackOverflow also bring Python experts together to help newcomers.

Frameworks and Libraries

In addition to the sheer number of open source libraries, frameworks, and modules available, Python and Java are also very similar in the number of open source libraries, frameworks, and modules available.

The development of a web application without Spring in Java or Django and Flask in Python is a lot simpler, since you only need to focus on business logic.

For web development, Django and Flask are the most popular Python libraries, while NumPy and SciPy are used for data science.

Automated Systems

As a result of a scripting need, I learned about Python for the first time. I was working with an application that received messages over UDP, and there was a problem, the logs did not contain messages.

It would have been nice to know if we were receiving UDP traffic on that box and port, but I couldn’t find a useful UNIX command to do so. My friend, who sits next to me, was learning Python, and he wrote a utility in just 5 minutes to intercept UDP messages using one of the Python modules.

Obviously, I was impressed by how long it took him to write such a tool, but that simply highlights Python’s power when it comes to writing scripts, tools, and automation.

I recommend Automate the boring stuff with Python if you want to learn how much Python helps with automation.

Adaptable

There are a lot of things you can do with Python. It’s not tied to just one thing, like R, which is great for Data Science and Machine Learning but not for web development. Learning Python gives you a lot of options.

At a bare minimum, you can use Python to write scripts that automate many of your daily tasks using Django and Flask, NumPy, Scipy, Scikit-Learn, and NLTK.

Growth and Jobs

You should learn Python if you are just starting your programming career because it is growing fast and for a long time.

IMHO, for beginners, this is the most important reason to learn Python after simplicity. It will help you to get a job quickly, as well as accelerate your career growth.

Amount of Salary

In Data Science, Machine Learning, and Web Development, Python developers are among the highest-paid developers. On average, they earn 70K USD to 150K USD based on their experience, location, and domain.

Check out my earlier post about the 10 highest-paid technology jobs for Software Engineers to learn more about high-paying technology jobs.

In 2023, here are the best resources for learning Python

That’s all about some of the reasons to learn Python in 2023. Today, knowing how to code is important, and if you don’t know how to code, you’re missing out, and Python is a great way to begin.

Python gives programmers who already know Java or C++ a powerful tool to write scripts, create web applications, and open the door to Data Science and Machine Learning.

To start with, The Complete Python Masterclass is the best course to learn Python if you want to learn just one programming language in 2023.

I hope you enjoyed reading this article so far. If you decide to learn Python in 2023, it will be a great decision, and I wish you all the best.