What is Python used for?
What is Python?
There are many uses for Python, but some are particularly good at it. As far as python application development is concerned, this general-purpose language will come in handy in many different fields.
Python is not just a programming language. It is a whole world with its possibilities, difficult tasks, and ways of solving them. It is rather difficult for a beginner who has just started acquaintance with the language to realize in which areas his knowledge can be useful.
The choice is quite huge. Software development in Python is gaining momentum on the market every day. And today it occupies one of the leading positions among all other languages, competing for primacy with the “monoliths” of the industry.
There are 5 most popular areas for using python app development services:
- web development;
- data science: machine learning, data analysis, and visualization;
- process automation;
- medicine;
- games creation.
Web Development
In Python, you can make the entire backend of an Internet resource, which will be executed on the server. This is done using special frameworks (Django and Flask) written in this language. They simplify the process of processing addresses, accessing databases. They create HTML that is displayed on custom pages.
Third-party developers have written a large number of additional tools. They are aimed at implementing network applications. For example, the HTMLGen tool allows you to create ready-made classes for a page in HTML using the Python language.
Data Science
DjangoStars python development company has created the most simple and intuitive access to almost any database. So, today, in the working environment of the language there is a programming interface. It allows you to use databases directly from a script using SQL queries. Also, code written in Python can be used for MySQL and Oracle databases with minimal modifications.
Machine learning
In addition to the core toolkit, Python has libraries and frameworks that allow you to work in the field of machine learning. Scikit-learn and TensorFlow are especially popular. Scikit-learn differs in that the most common learning algorithms are already built into it. TensorFlow, in turn, is a low-level library that opens up possibilities for creating user algorithms.
Machine learning processes based on the Python programming language help implement face and voice recognition systems. It helps to create neural networks, deep learning, and more.
Fintech and Financial industry
This is the very area where the python software development company can compete in its capabilities with FORTRAN or C ++. A special NumPy extension, written for mathematical calculations. Itworks great with arrays, equation interfaces, and other data. Once the extension is installed on your computer, Python is integrated with the formula libraries.
Medicine and Pharmacology
Statistical studies show that the number of routine technical problems solved by doctors and health workers is growing. Therefore, medical institutions need to think over the introduction of additional education as soon as possible to develop the skills to automate such tasks. Python development services guarantee great results.
Game Development
In vain, many people underestimate game development. because it is thanks to it that so many gadgets, developments have appeared and the graphics have improved. Of course, the python software company is hardly suitable for large projects, its tools in this area are somewhat limited, but for fans of this language, collecting small applications and indie toys is not such a difficult task. For multi-platform games, the Unity engine driven by C # is the best choice. This tool is designed for such purposes.
