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.
In This Article, You Will Know the Top 8 Reasons Why You Should Think of Python in 2022
Table of Contents
1. Simple & Easy
The ease and simplicity of Python are, without doubt, the most talked-about characteristics. Mainly, the key to success lies in the language’s design. Did you realize that we have previously spoken of Python in the context of a programming language that is high level?
Python does not need the developer to be concerned about minor issues like a missing semicolon. However, Python takes care of everything, which allows the programmer to concentrate on creating the perfect app algorithm.
Its Python structure is English-like which means it permits whitespaces and commonly used expressions. These will make the code blocks more understandable and make the code appear better and more attractive.
Additionally, Python comes with an extensive library ecosystem that abstracts the bulk of your work with only a few lines of code, making your project much easier to manage. The result is a rational, easy programming language without any strange language rules, which means that developing applications is enjoyable.
2. Exists Everywhere
Now, you’re aware of the versatility of Python. As a programming language, Python can be used to accomplish a range of tasks, making it one of the Swiss Army Knife for languages that program. In contrast to other language programs which excel in just one or two categories, Python can accomplish far more if used correctly.
There is a way to work with Python in a myriad of ways. The projects that you can work on vary from online scrapers to collect data from the internet to websites and web-based applications and libraries and plugins that can add functions to other programs.
Furthermore, Python can also be used to gather expertise and solve issues in areas like Artificial Intelligence, Data Science, and Machine Learning. Apart from automating mundane processes with the click of a button, Python can also be used to develop smaller but highly efficient automation scripts.
3. Huge Collection of libraries and frameworks
We barely got to the bottom of Python’s huge framework and library ecosystem in the previous article. There were more than the 290k mark in Python libraries when the article was written.
This means that for the program or application you plan to develop, there’s a high possibility that a library is already in place to help you.
Python provides frameworks and libraries that cover almost every application field that you can imagine. NumPy is a Python library that offers high-level mathematical operations and support for multi-dimensional arrays.
Are you looking for something with the same capabilities to work with data from scientific research? You can try SciPy as a Python library.
Furthermore, various frameworks and libraries are available to create graphic user interfaces, such as Kivy, PyQt, and Tkinter. There are also several Python frameworks and modules that can be used for various applications. I understand.
4. Versatility In Python
The advantages of Python, such as its simplicity, extensive library, and equally impressive help from the community, have made it evident why it is in the top three most used programming languages of the current period.
Python has been utilized by greater than 8.2 million programmers, as per an analysis published by SlashData, a leading analyst firm that studies the use of the software by developers.
Python is now a component of most people’s lives in some way. Today, the world has become more engaged with thousands of services, websites, and Python systems.
Python is well-versed with new technologies like Big Data, Machine Learning, Web Development, and Automation. Read on for more details about that:
- Data Science
In addition, one of the hottest disciplines, Data Science, is crucial in providing data scientists with access to vast amounts of data to produce essential information and understanding. Scrapy, NumPy, TensorFlow, Keras, and Matplotlib are a few of the software libraries commonly used to perform this task.
2. Machine Learning
In the age of Data Science, anyone operating in Machine Learning initiatives will be able to find Python as the best programming language for their endeavors. In fact, with libraries such as Scikit-Learn Matplotlib, NumPy, and TensorFlow, Python has evolved into one of the most powerful languages for enhancing Machine Learning skills by creating programs like chatbots, recommendation systems, and speech and image recognition systems.
3. Web Development
Python offers a wide range of frameworks and tools to aid web development that doesn’t require you to become obsessed with the more nuanced aspects. Django, Bottle, Flask, Web2Py, Requests, and Sanic are just a few of the most well-known websites. They are instruments and frameworks that can simplify a significant amount of your work.
5. High-Salaried Positions
Today, it is widely recognized that Python programmers are among the highest-paid software developers and software development is now one of the most lucrative fields around the globe.
A few of the most prominent players in information technology are interested in incorporating new technologies, like Artificial Intelligence, Data Science, and Machine Learning, deeply into their products. They include Google, Facebook, Microsoft, Amazon, Netflix, and Uber.
The only programming language that can do all these and more is Python. Python developers are therefore highly sought-after, earning an average salary of $75,000 and $150,000 annually, and the number is increasing.
In the year 2020, Python coders were among the most sought-after professionals, despite the Covid-19 epidemic.
Whatever the area you work in, Earning an income is always achievable, and learning Python could be the perfect way to earn a six-figure income. This is the answer to your most important question: why should you study Python for 2022?
6. Integrates Well with Other Languages
As you will observe, the process of learning Python isn’t as complicated as it might seem; however, it’s undoubtedly worthwhile both financially and technically. In the coming years, Python will become among the top well-known and sought-after programming languages available on the software market, making it an ideal time to begin studying it.
7. Used in State-of-the-art Technologies
Python isn’t just a well-known language; it’s the most reliable companion to data analytics and the latest technologies such as ML and AI. Data analytics has increased by 650 percent since 2012, and the usage of machine learning and AI is growing every year in all aspects of our lives, including choosing the best TV shows to analyze medical tests. Experts believe Python is the most suitable programming language for these kinds of operations due to its vast ecosystem and a variety of specialized frameworks and libraries that are best to handle the new artificial intelligence and machine learning concepts.
8. Popular Language
According to a Stack Overflow survey, the popularity of Python among developers and software companies is growing year to year and making it the top sought-after programming language. In the same way, these languages like C++, PHP, and Java have been losing popularity, whereas Python is being employed for the vast majority of current software projects. Therefore, it’s now time for software developers to begin learning about it.
As you will observe, indeed, getting started with Python isn’t as hard as it appears and is worthwhile both financially and technically. In the next few decades, Python will become one of the most sought-after, coveted, and well-paid programming languages in the current software market, which makes it an ideal time to begin studying it. By providing services for users, you can build a machine learning model and link it to an online site. We hope that we’ve answered your question on what you need to know about Python by 2022!
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