4 Application of Python in various fields of technology
Today, one of the concerns of newcomers to the world of programming is choosing a programming language. Because they know that each programming language has its own application, market, and capabilities. Therefore, such people are always to trying choose a language that has no limits for them and help them achieve goals. One the most popular and useful programming languages right now is Python, which in this article we are going to show you what will be able to do in the future if you choose the Python programming language for training and monetization. So if you are eager to learn about the most important uses of Python, stay tuned for the rest of this article.
Why do we need to know the use of programming languages?
Learning a new programming language can take a lot of time and energy. However, learning the syntax of language is usually not difficult and most of the programmer’s time and energy is for mastering the language. If you do not know what the is programming language you are learning for , you will probably lose motivation while learning or become confused along the way. For example, someone who is into PHP is more likely to want to become a web developer, or someone who is into kotlin is more likely to decide to work as an Android programmer. Therefore, understanding the applications of a programming language is one of the most important steps in learning it.
What is the use of Python and where we can use it?
Python is a general purpose language and is not limited to a specific area. This means you can shoot with a few arrows and work in different areas of technology. A Python programmer, if he is a professional, will have a say in any field. Some programming languages are specific to a particular field or do not have much power if they enter fields, but Python is not. all you have to do is learn it and become Python expert to see what power it really gives you in the world of programming.
Libraries were the main reason Python entered various areas of IT. These are the libraries that make Python extensible. They also make it easier for programmers to work. Of course, some of these libraries still have room for growth and development and are not in large projects. Another attractive feature of Python is its stickiness. Glue Language means that Python can integrate well with the code of other languages or so-called. With this technique you can easily add a piece of code in C or any other language to your project. In the following, we will examine the use of Python, which is 4 parts, in detail.
1.Python application in the world of web and internet
When it comes to website design and web development, some people probably think of PHP or ASP. Of course, this is not surprising, since many site are based on in these two programming languages. But over time, Python also demonstrated its capabilities on the web and it is for web applications. Especially since its web design frameworks came into being. Popular frameworks like Django and micro frames like Flask played an important role in Python’s popularity. Many people learn it to get to these frameworks sooner. Django is currently the sixth most popular framework for building a site in the world, and large projects use this framework. Successful site like Instagram, NASA, Pinterest, use Django.
Most Python frameworks, such as Django, support the MVC design template, which is an important advantage for designing web pages. Because MVC is a well-known standard among programmers. It also support object-orientation and simplifies the design of large and complex systems. It uses the SQLite database by default to work with and modify. The sqlite3 module was able to integrate this database with it, making it an ideal choice for small to medium-sized projects. However, there are ways to work with databases like MySQL or MongoDB.
2.Build a mobile application
We know that the main programming languages are Android Java and Kathleen, and IOS developers use swift. But it is not the only mobile programming. If you learn Python, you can build mobile apps and share them in different markets with help of frameworks like Kivy. Kivy received $5,000 from the Python foundation in 2012 to port its framework to Python 3.3. After the mobile app, Kivy went for the raspberry Pi to open Python to the development of Raspberry Pi. Because the development of mobile applications with Kivy is not native, you may encounter problems such as increased application volume or slowdown, 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 lies and sometimes we are using it without realizing it. For example, when we search on a google site and Google shows us a list of results, we are actually using machine learning algorithms. Also, some online stores offer smart offers to users by personalizing the site. Face recognition systems or voice assistants such as Cortana or Siri are other examples of machine learning, many machine learning professionals use its libraries.
4.Use of Python in hacking and penetration testing
For all its benefits, Python can be scary. Because when it comes to hacking systems, Python has a lot to say. Hackers have a lot of knowledge in computer science and are usually familiar with different computer trends. With the help of programming, they can write the tools they need and what better language than Python can open the forbidden doors?
The use of Python in hacking is due to the high efficiency this scripting language has in building small applications, and that is why professional hackers have a very good command of this language. So far we have talked about Python libraries several times. The reason is that these libraries are very important. This language has networking and penetration testing of various libraries such as NetworkX, NAPALM, and pulsar. If we look at GateHub, we see a lot of intrusion and hacking tools written in this language.