Why Should You Learn Python in 2021?

Python is one of those programming languages that has exploded in popularity and demand over the last 4-5 years. Whether we discuss the PYPL index, Stack Overflow, or any other platform, the language consistently ranks among the top programming languages.

However, many people believe that these rankings change frequently and that there should be some compelling and legitimate reasons to learn and get started with Python!

This is also true – rather than focusing exclusively on the popularity and demand of a particular programming language, you should consider its features, learning curve, compatibility with other technologies, and community support, among other things.

Additionally, it would be best to determine whether the language is relevant and appropriate for your career prospects.

Moreover, specifically, when it comes to Python, the language provides numerous compelling reasons to begin using it in the year 2021, whether due to its compatibility with future technologies, extensive library support, ease of learning and versatility, or any other reason.

In this article, we will discuss seven compelling reasons why you should learn Python in 2021.

Thus, let us begin:

When an individual, mainly a student, considers learning a new programming language, the first thing that comes to mind is that the language should be simple to learn, with no overly complicated syntax or unusual rules.

Furthermore, without a doubt, Python scores a perfect 100 in this parameter!

Python has a straightforward syntax, almost identical to that of the English language, making it an ideal language for beginners. The language is comparatively more straightforward to learn due to its simple syntax and improved readability. To print 'Hello World' in Python, for example, the code would be print("Hello World") – yes, it is that simple!

That is perhaps why various schools and colleges prefer the language as the first programming language to teach students. Additionally, you should be aware that Python is a freely available, open-source, high-level programming language.

Python provides much-needed scalability, extensibility, and flexibility. As a cross-platform language, it runs effectively on Windows, Linux, and macOS.

Additionally, you should be aware that you can do so without difficulty if you wish to execute Python code written for Windows, Mac, or Linux. Python enables developers to perform cross-language operations efficiently and integrates easily with Java,.NET components and C/C++ libraries. Its extremely extensible nature enables it to be effectively extended to other programming languages.

Additionally, because Python is an interpreted language, unlike Java or C++, you do not need to compile your program before running it. Additionally, it is a dynamically typed language, which means that you are not required to specify the data type when declaring variables. Python is, in fact, a more flexible, portable, and extensible programming language than other programming languages.

Are you interested in pursuing a career in the field of Artificial Intelligence and Machine Learning?

Are you interested in pursuing a career as a Data Scientist or Data Engineer?

Are you interested in pursuing a career in Web Development or Game Development?

Regardless of the trending domain in which you wish to gain expertise or establish a career, the likelihood is that you will require Python along the way. Big Data, Cloud Computing, AI & Machine Learning, and Data Science are just a few technologies that heavily rely on Python.

According to reports, most tech professionals believe Python is the best language for Artificial Intelligence, Machine Learning, and Data Science in the modern era. Additionally, you can use Python to develop web applications, web scraping, embedded systems, and so on.

These technologies rely on Python as a tool for various reasons, including its robustness, extensive library, increased scalability, and strong community support.

Now for one of Python's significant advantages – a vast collection of libraries and frameworks. The language provides hundreds of well-known libraries and frameworks for Machine Learning, Data Science, Cloud Computing, and Web Development, among other things.

It truly helps simplify and expedite the development process by completing the required task with a few lines of code. From the developer's perspective, an extensive standard library enables them to focus on the critical tasks at hand rather than on low-level details. Additionally, it contributes to cost savings during development.

The following are some of the most popular Python libraries and frameworks:

NumPy, SciPy, Pandas, PyTorch, and others are available for data science.

Scikit-Learn, PyBrain, PyML, and Tensorflow are all examples of machine learning libraries.

NLTK, Keras, OpenCV, and others are used in Artificial Intelligence.

Django, Pyramid, Flask, and others are used for web development.

For network programming, Asyncio, Pulsar, Pyzmq, and others are available.

Everyone recognizes the importance of automation, and let us assure you that Python is an excellent choice for scripting and automation. The language can be used to automate various routine or repetitive tasks, resulting in increased productivity and efficiency.

Because Python is an interpreted language, you can write the code in script format, and it will be executed directly. The machine will check for the error during runtime when it reads and interprets your code. After the code has been verified for errors, it can be reused multiple times.

To make things easier, Python includes a plethora of tools and modules for performing various critical automation tasks such as web scraping, testing, and so on. Selenium Python, Robot framework, PyTest, Beautiful Soup, and Automagica are just a few popular Python libraries and tools for automation.

A programming language's growth and evolution are highly dependent on its community support, documentation, and other related parameters. Whether you are a beginner or an experienced programmer, this open-source language provides an extensive and dependable community to assist you with any Python-related issue or concern.

According to reports, there are more than 8 million Python developers active worldwide. You can join a variety of well-known communities such as Stack Overflow, GitHub, and others to connect with many Python programmers who are always willing to assist beginners.

Additionally, numerous documents, guides, and learning resources are available on the web that can assist you in quickly getting started and working with Python.

Perhaps, if you are a beginner or have not yet entered the programming world, you will not consider this massive community supports an enriching feature. However, you will inevitably appreciate this advantage the most once you advance with Python.

Python is one of the most rapidly growing technologies on the planet. As mentioned previously, Python is associated with a variety of future technologies, including the Internet of Things (IoT), artificial intelligence (AI), automation, cloud computing, and big data – which is why the demand for Python developers is high in the tech world.

Their salary is also relatively higher than that of other developers. In India, the average salary for a mid-level Python developer is approximately 10-16 LPA. Additionally, if you acquire additional relevant skills such as Data Science, Machine Learning, and so on in addition to Python, your salary may increase.

Almost every major information technology company, whether Google, Facebook, Amazon, Uber, or another, uses Python for their respective platform or product. Additionally, it indicates that Python's future is bright, and career opportunities for Python professionals will grow significantly in the coming years.

Thus, these are some of the primary reasons (or, you could say, advantages) why you should consider learning Python in the year 2021. From Web Developer to Data Scientist to Machine Learning Professional – once you have mastered the language, you will have many career options.

Thus, from now on, stop looking for reasons to learn Python and instead begin learning immediately and making the most of it...!!