Top 5 Reasons Why You Should Think Of Python in 2022

Essentially, Python is an analyzed, general-purpose, and high-level programming language that has quickly become the language of choice for developers worldwide when it reaches developing online apps, gaming, addressing AI and machine learning workloads, graphical user interfaces, and automating tasks. So in this article, I’m going to see why you should think of Python.

5 Reasons Why to Learn Python In 2022

1. Simple & Easy

The simplicity and ease of use of Python are undoubtedly the most talked-about features. Specifically, the secret lies in the programming language’s design. Are you aware that we previously referred to Python as a high-level programming language?

Python doesn’t require the developer to worry about such low-level details as a missing semicolon. In contrast, Python takes care of everything, allowing the developer to focus on designing the ideal application logic.

The Python structure is English-like, so it allows for the use of whitespaces and common expressions, which not only make code blocks easier to understand but also make the code look cleaner and more appealing.

Furthermore, Python comes with a vast library ecosystem that abstracts the majority of your activities with a few lines of code, making your project appear even more manageable. The result is a logical, straightforward programming language that is free of strange language rules, so application development is fun.

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2. It Is Present in All Places 

By now, you’re probably aware of Python’s versatility. As a programming language, Python can perform a wide variety of tasks, making it the Swiss Army Knife of programming languages. Unlike many other programming languages that excel in only one or two areas, Python can accomplish far more if you use it properly.

It is possible to use Python in an infinite number of ways. The projects you can work on range from online scrapers that extract data from the internet to websites and web applications and libraries or plugins that add functionality to other applications.

Moreover, Python can also be used to acquire knowledge and solve problems in disciplines such as Artificial Intelligence, Data Science, and Machine Learning. In addition to automating tedious activities with the click of a button, Python may also be used to create smaller but incredibly useful automation scripts.

3. An extensive collection of Python libraries and frameworks

In the preceding pointer, we barely scratched the surface of Python’s extensive library and framework ecosystem. At the time this article was written, there were close to 290,000 Python libraries.

However, this indicates that of the application or software you intend to create, there is a good chance that a library will already exist to assist you.

Python gives libraries and frameworks for almost any application domain imaginable. NumPy is a Python library that provides high-level mathematical operations and support for multidimensional arrays.

Have you been looking for something similar to NumPy’s capabilities for working with scientific data? You can use SciPy, a Python library.

Further, other libraries and frameworks exist for developing graphical user interfaces, including Kivy, PyQt, and Tkinter. Likewise, there are several Python modules and frameworks available for a wide variety of use cases. I understand.

4. Versatility Is The Key Reason to Learn Python in 2022!

Python’s merits, including its effortlessness, large library collection, and equally amazing community support, have made it apparent why it ranks among the top few most popular programming languages of the modern era.

Python has been used by more than 8.2 million developers, according to a survey published by SlashData, an industry-leading analysis business that tracks developer software usage.

Python is currently a part of almost everyone’s life in some form. Nowadays the public today has become more interactive with hundreds of thousands of websites, services, and systems that include Python code.

Python is too well-versed in emerging technologies such as Big Data, Machine Learning, Web Development, and Automation. Continue reading for more information regarding that:

A) – Data Science

Furthermore, one of the century’s hottest fields, Data Science, is essential in enabling data scientists to access massive volumes of data for the purpose of generating critical knowledge and insights. Scrapy, NumPy, TensorFlow, Keras, and Matplotlib are simply a few of the libraries that are often used for this purpose.

B) – Machine Learning

With Data Science, anyone operating on Machine Learning projects will find Python to be the ideal programming language for their endeavours. Indeed, with libraries like Scikit-Learn, Matplotlib, NumPy, and TensorFlow, Python has evolved into one of the greatest languages for honing your Machine Learning skills through the invention of applications similar as chatbots, recommendation systems, and speech and picture recognition systems.

C) – Web Development

Python gives a plethora of tools and frameworks for web development without requiring you to evolve overly concerned with the finer details. Django, Bottle, Flask, Web2Py, Requests, and Sanic are only a few of the most popular web development tools and frameworks that may automate a considerable portion of the work for you.

D) – Automation

While functioning on application development projects, you’re bound to encounter a slew of tedious but necessary low-level activities or those that simply take too long. Python provides you with all the important tools to quickly and efficiently automate these tedious activities using frameworks similar to Selenium Python, PyTest, PyUnit, and Robot.

5. High-Salaried Positions Mean Money, Money!

Now it is widely acknowledged that Python developers are among the world’s highest-paid software developers, with software development becoming one of the most lucrative industries in the world.

Some of the largest players in the information technology world are becoming quite keen on incorporating emerging technologies, such as Artificial Intelligence, Data Science, and Machine Learning, deeply into their offerings. These include Google, Facebook, Microsoft, Amazon, Netflix, and Uber. 

The only programming language that can accomplish all of this and much more in Python. Python developers are thus in high demand, earning an average income of between $75,000 and $150,000 a year, and the trend is rising.

In 2020, Python coders were among the top-demanded professionals despite the Covid-19 pandemic.

Regardless of your field of choice, earning a living is always possible, and mastering Python might just be a golden ticket to six-figure earnings. That’s the answer to your golden question: Why should you learn Python in 2022?


As you can see, learning Python is not as difficult as it may seem, but it’s definitely worth your efforts both economically and technically. During the upcoming several years, Python is going to be one of the most popular, demanded, and highly-paid programming languages on the modern software market, so it’s a perfect time to start learning it. By providing a service to users, you can develop a machine learning model and connect it with a website. Hopefully, we have answered your query on why you should learn Python in 2022!

Article by, Amruddin Shaik is a Digital Marketer and Content Contributor, Who is working with MindMajix, a top global online training provider. I’m a tech enthusiast and have a great understanding of today’s technology. Having an in-depth knowledge of IT and demanding technologies such as Python, DevOps,  Business Intelligence, Snowflake, Cyber Security and Software testing, etc.