Its versatility, ease and speed of development, powerful libraries, framework and community support: these are just some of the reasons that make Python an attractive programming language. In this article, we will discuss some areas where the use of Python is currently excelling.
Python is free and easy to learn. Its main features include a high-quality programming language, as well as dynamic typing and interpretation. This facilitates debugging and promotes rapid development of application prototypes.
Python was developed in 1989 by Guido Van Rossum, under the DRY principle – "Don't repeat yourself." Good readability was also a priority.
Python supports cross-platform operating systems, making it more convenient to create applications. World-famous applications such as YouTube, Spotify or Uber use Python to achieve good functionality.
Web development and Python
Python can be used to create web applications quickly. Why is it like this? The frameworks that Python uses to build applications make this possible. There is common backend logic used to create these frameworks, as well as a set of libraries that can be used to integrate protocols such as FTP, SSL, HTTPS, HTTP, etc., and even handle JSON, XML, and email.
Some of the frameworks better known are Flask, Django either pyramid. But why is it necessary to use a framework? The security, scalability, and convenience they offer are unmatched by developing a website from scratch.
Video games development and Python
Python is popular for developing interactive games. There are libraries like PySoy, a 3D game engine that supports Python 3, or PyGame, a library that provides functionality.
Games as well known as Battlefield 2 and many more have been created with Python.
Machine Learning and Artificial Intelligence (AI) are the hottest topics of the moment, as they offer promising careers in the future. We make the computer learn based on past experiences and through stored data or we create algorithms that make the computer learn on its own. The programming language that almost everyone chooses to do this? Python. Because? Python supports this industry with numerous existing libraries such as pandas, Scikit-Learn, NumPy and many more.
Learn how a certain algorithm works, use the libraries and you will have the solution to your AI problem. It is very simple. However, if you want to go the hard way, you can design your own code if it provides a better solution, a rather complicated task since the main libraries are developed by true professionals in the sector.
Data science, visualization and Python
Data is money. If you know how to extract relevant information that helps you better calculate the risks, you can increase the benefits. You can analyze the data, perform various operations and extract the necessary information. Libraries like pandas either NumPy They help you do it.
With the help of data libraries such as Matplotlib either seaborn You can even visualize your data, which can be very useful when drawing diagrams.
desktop GUI and Python
Python can be used to program desktop applications. User interfaces can be developed using the Tkinter library. Other useful toolkits like Kivy, wxWidgets and PYGT They help you create applications on different platforms.
Start by creating simple apps like calculators or homework apps, and then test your skills on more complicated projects.
web scraping and Python
You can use Python to extract a large amount of data from websites and then use it in various real-world processes, such as price comparison, job listings, research, development, and more.
There is a library called BeautifulSoup which can be used to retrieve precisely that data and process it appropriately.
Business applications and Python
Enterprise applications differ from regular applications in that they cover areas such as e-commerce, enterprise resource planning, and many more. Applications should be easily scalable, quickly extensible, and easy to read – Python offers all of these features. For this you can use platforms such as tryton.
Audio and video applications and Python
Python allows you to create applications that can perform multiple tasks simultaneously and output media. Many video and audio applications, such as cplay and TimPlayer, have been developed using Python libraries and offer much better stability and performance compared to other media players.
Embedded applications and Python
Python is based on C. This means that you can easily create embedded software in C. This especially helps in running high-level applications on smaller devices.
Probably the best-known embedded application is Raspberry Pi. It uses Python for data processing. It can be used directly on the computer or embedded in a program to perform high-level calculations.
Find out all the details in our Master in Advanced Programming in Python for Hacking, BigData and Machine Learning.
