What is the use of Python and where is it used?
Python is a general purpose language and is not limited to a specific domain. This means that you can work in different fields of technology with a single arrow. A Python programmer, if he is a professional, will have something to say in any field.
Some programming languages are specific to a certain area or not very powerful if they enter other areas, but Python is not like that. Just learn it and become a Python expert to see what power it really gives you in the world of programming.
The most important reason that made Python enter various IT departments was the libraries.
These are the libraries that make Python extensible. They also make the work of programmers easier. Of course, some of these libraries still have room for growth and development and cannot be used in large projects.
Another attractive feature of Python is the stickiness of this language. Glue Language means that Python can integrate well with the codes of other languages or stick to them.
With the help of this technique, you can easily add a piece of code in C language or any other language to your project. In the following, we will examine the use of Python, which is divided into 9 main parts, in detail.
1- The use of Python in the world of the web and the Internet
When it comes to website design and web development, some people's minds probably go to PHP or ASP. Of course, it is not strange, because many popular sites are written with these two programming languages.
But with the passage of time, Python showed its abilities well on the web and was used in the development of web applications. Especially since its frameworks were used in the field of web design.
Famous frameworks like Django and microframeworks like Flask played an important role in the popularity of Python. Many people learn Python to get to these frameworks sooner.
Currently, Django is the sixth most popular framework in the world for building websites, and large projects have been implemented with it. Successful sites like Instagram, NASA, Pinterest, etc. use Django.
Most Python frameworks like Django support the MVC design pattern and this is an important advantage for designing web pages. Because MVC is a well-known standard among programmers. Also, Python supports object orientation and makes it easier to design large and complex systems.
By default, Python uses an SQLite database to work with and manipulate data. The sqlite3 module was able to integrate this database with Python and is an ideal choice for small to medium projects.
However, there are ways to work with databases like MySQL or MongoDB.
2- Building a mobile application
We know that Android's main programming languages are Java and Kotlin, and iOS developers use Swift. But we are not limited to these languages for making mobile applications.
If you learn Python, with the help of frameworks like Kivy, you can create a mobile application and share it in different markets. In 2012, Kivy received $5,000 from the Python Foundation to port its framework to Python 3.3.
After the mobile application, Kivy went to Raspberry Pi to open Python Pi to Raspberry Pi development. Because the development of mobile applications with Kivy is not native, you may encounter problems such as an increase in the size of the application or a decrease in speed, which is normal.
Like React, which is a JavaScript framework for mobile programming and has the same problems.
3- Machine learning
Machine learning is a topic that is present in our daily life and sometimes we are using it without realizing it. For example, when we search on the Google site and Google shows us a list of results, we are actually using machine learning algorithms. Also, some online stores provide us with smart suggestions by personalizing the site for users.
Facial recognition systems or voice assistants like Cortana or Siri are another example of machine learning applications. It should be noted that Python has a good performance in machine learning and many Machine Learning specialists use its libraries.
4- The use of Python in hacking and penetration testing
For all its benefits, Python can also be intimidating. Because when it comes to hacking and infiltrating systems, Python has a lot to say.
Hackers have a lot of knowledge in computer science and are usually familiar with different computer trends.
They can write the tools they need with the help of programming, and what language can open the forbidden doors to them better than Python?
The use of Python in hacking is due to the high efficiency that this scripting language has in building small programs, and that is why professional hackers have a very good command of Python. So far, we have talked about Python libraries several times.
The reason is the great importance of these libraries. This language has various libraries in network and penetration testing such as NetworkX, NAPALM and Pulsar.
If you visit GitHub, you will find a lot of penetration testing and hacking tools written in this language.
5- Education and academic studies
In Iranian schools, unlike many advanced countries, there is no special planning for teaching programming to children and teenagers. In the past years, many countries taught Basic in their schools, but today Python has taken its place.
If a 12-year-old sees C++ or Java code, he will probably be turned off programming forever. But Python has a simple and attractive structure and is easy to learn.
Because of its simple structure, Python is a suitable option for teaching programming, especially to children and teenagers.
6- Application of Python in data mining and Big Data
Data mining is the science of data analysis. Services like Instagram or Google search engine receive thousands of gigabytes of data from their users every day and earn high income from analyzing this data.
With the help of Data Mining, one or more large databases are analyzed and useful and practical information is obtained from them. For example, only a few megabytes of reports may not be extracted from a 50 GB database, but these few megabytes are very valuable.
An engineer or data scientist needs programming to make the algorithms of his field understandable to the computer. Although different languages such as C, Scala and R can be used in data mining, but usually the best option for data mining is to use the Python programming language because its libraries are very useful.
In Python, there are various libraries for working with data. For example, Scarpy is used to crawl the web and examine available data, or NumPy is used to create n-dimensional arrays and various mathematical formulas such as the Fourier transform or linear algebra functions.
7 - Creating a graphical user interface
A long time has passed since the days when computers only had a command line.
Although the linear user interface still has many advantages such as scripting ability, speed and more control, but nowadays most of the softwares use the graphical interface for the beauty and convenience of the users.
Of course, working with the command line is inconvenient or difficult for many users.
Python performs well in creating graphical interface and has introduced various libraries for this purpose.
Libraries like WxPython or GTK+ help you add a graphical interface to your project after writing the program codes and building its logic.
According to many developers, the Tkinter library is the most standard Python library in user interface design.
Also, PyQt has an easy and attractive user interface that by installing it in Linux or Windows, you can graphically implement your desired environment.
8- The use of Python in making computer games
With the growth of technology, computer games have progressed and today in some countries they are considered a lucrative and money-making industry.
In the design of advanced games, dedicated game engines are used, but some engines such as Unity or Unreal are publicly available.
It is suggested to combine C# programming language and Unity game engine to make the game with relatively low cost. You may not expect it, but Python is also used in this field.
PyGame is a free and cross-platform library that started its work in 2000. This library consists of elements such as sound and computer graphics, which are well coordinated with the Python programming language.
Games like Frets On Fire are built with the PyGame engine. Although this library has a long history, it is still very different from Unity or Cry Engine. This library is mostly used to make light and simple games.
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