Why should I learn Python? In this article, we will answer the question. These days, Python is a trendy programming language and needs to be introduced indeed. It has different applications in business, data science, web development, machine learning, etc. Therefore, It’s not surprising that it has overtaken other languages as the top programming language.
Why learning Python is a necessity
Python is one of the hot topics in the field of programming nowadays. The language was first published in 1991, but in recent years with the advent of new technologies and resources and the use of Youtube, it has reached its peak of popularity. This trend has continued to the point that Python is now one of the most widely used programming languages. Large sites in the world such as Pinterest, Instagram, Monkey Survey also use this language.
Python is one of the most beloved programming languages for developers, data scientists, software engineers, and even hackers. You may ask why Python is so popular. It must be said that Python has become popular because of its adaptability, simplicity, and object-oriented features. With these features, Python has been able to enter various fields. Here are some important features of Python.
Ease of learning Python
You can learn Python very quickly due to its high proximity of Python to English and its few principles (syntax). In fact, Python users should be able to implement anything they want easily and not get too caught up in the complexities of the language. Even beginners can make a Python game in a matter of days. If you compare Python with many other languages, you will notice its simplicity. As you can see in the image below, it is much easier for Python to print a phrase in the output than in C++ or Java.
Quickly building prototypes for projects
As mentioned, the Python language could be learned quickly. It is also structured so that many programs can be written with less complexity. These features allow us to promptly code and create a project prototype when we are limited in time. It is only a matter of time before an initial plan is completed.
Open source and cross-platform
Python has had these two capabilities for twenty years. It doesn’t matter if it is Linux, Windows, or Mac; it will run efficiently on all systems (this feature is called cross-platform). Thousands of people worldwide are also working to fix Python bugs to make sure python features could always be used properly when needed. Note that the large number of people who work with Python assures you that you will be able to fix the problem very quickly in the event of a problem.
All-purpose language and platform
You can use Python in any software scenario if you are a software developer. This has enabled the language to maintain and improve its position. For example, suppose you want to develop some functions in SQL databases, modify your website’s backend, or write desktop software. Python will help you in all cases.
Extensive libraries
Python is supported by PyPI (python package index) which provides users with more than 85,000 scripts and modules. These modules are easy to use, and users can use them in their own systems. These libraries can be used to solve various problems such as perform advanced data analytics, full web reset development, or emotion analysis and build a computer vision system. If you are not familiar with many of the concepts, do not worry.
Applications of Python
Now we want to get acquainted with present-day applications of Python. We will deal with these cases in the following.
- Artificial intelligence
- The science of data analysis or data mining
- Automation and scripting
- Testing frameworks
- Web Development
- Embedded systems
Artificial intelligence
Undoubtedly, one of the areas in which Python is strongly present is artificial intelligence. Artificial intelligence can give a machine the ability to think, analyze, and make decisions. The future power would be in the hands of those who have access to this tool. Artificial intelligence can be present almost anywhere you can think of. From identifying people based on face and fingerprint to recognizing voice commands (voice assistants Google, Microsoft, etc.) or displaying your favorite posts on social media such as Instagram. Also, one of the things that will be a good market for artificial intelligence in the future is self-driving cars. Note that Python can implement machine learning algorithms due to its powerful libraries such as Keras and Tensorflow. Of course, other things are being updated every day.
The science of data analysis
Python is the best programming language for many data scientists. Almost all businesses today need to use data and must use it in their work. Python has become very prominent in data science with the introduction of powerful libraries such as NumPy and panda. Python can also work with statistical and matrix data and present them in the form of understandable diagrams, using libraries such as matplotlib. Today, different companies need to provide the right services based on the excellent information they get from their customers.
This will be very costly and difficult with traditional methods, but with data science methods much easier than you might think, you can categorize the data and get the suitable behavioral model from the audience. In data science, a large number of job opportunities are created every year. Naturally, you can use it as a perfect opportunity and invest in yourself for the future. But suppose you have a business and want to analyze better and evaluate your customers’ behavior and use it to provide better services. In that case, you can take a big step towards the growth of your business by attracting data science specialists.
Automation and scripting
Most people are unaware that Python can also be used as a scripting language. In scripting, code is written and executed in script form. As a result, the machine reads and interprets the code, and errors are checked at runtime. It can be used over and over again when the code is scanned. Many things can also be done automatically with Python. If you are interested, you could learn how to create a digital clock with Python.
Test frameworks
Testing software after production is a vital task in the software industry. Python is an excellent language for testing software companies’ products or ideas. Python has a large number of built-in frameworks for testing software. Its tools and modules such as selenium and splinter simplify the job. In addition to cross-platform testing, Python also supports cross-browser testing. Frameworks such as PyTest and Robot are used to do this. So lots of software developer needs to use Python to test their products.
Web Development
Different Python frameworks allow you to develop a website. Popular web development frameworks are Django and Flask, which generate faster and more stable code. With these frameworks, the backend of a website can be coded. (Backend is the part of the coding of a website that is done on the server-side, and usually, users of a website do not see it).
Embedded systems
Does this language also play a role in embedded systems and the electronics industry? That’s right. The popular Raspberry Pi mini-computers can be coded and many IoT-related tasks can be implemented. Of course, this application is not limited to the Internet of Things and covers many areas such as image and video processing, computer vision, etc.
With the information you have gained, you should ask yourself whether you are interested in working in the areas or not? If so, you need to get down to business and do more research in the field you are interested in. Be sure to consult with experts and learn after examining all aspects and deciding. Now we will talk about the demand for Python, the salary of a Python developer, and how to start learning it.
Demand for Python
Demand for Python is growing, according to statistics released in recent years. So Python has achieved a relatively good position globally. Knowing the Python language can give you many job opportunities. You could see the following image which indicates the most in-demand programming languages 2021-2022.
Python Developer Earnings
The income of a software engineer who knows Python is a good position compared to other developers. In the United States, an average Python engineer earns about $120,000 a year, which is a significant amount. So no matter where you are in the world, the ability to code with Python brings you a decent job and income.
How to start learning Python
There are many ways you can learn Python; You can learn Python self-study or by taking part-time or online courses. Choose the best way that suits your needs and circumstances. But always consider one piece of advice. If you are new to a subject, it is best not to study independently and start with an experienced instructor so that you do not waste your time, energy, and money. But if you are already familiar with that area, you can start working on your own.
To start learning Python, I suggest the article “How to learn Python programming.”
Final words
Well, dear friends, you have read the “why should I learn python” article on W3camps. As you can see, I am focusing more on new areas of programming. I will publish more about AI and Python in the future. Please drop me your comment and question below. Do not forget to share this article with someone who needs this.
