This article is part of in the series

python applications

According to Statista, a trusted statistics collector, Python is in the third position used among coders. The first and second places went to JavaScript and HTML/CSS, an absolute must to design IT products.  Let's take a closer look at Python, and the opportunities it gives us!


A language with a clear and readable syntax, Python is a high-level programming language of a general-purpose. That is convenient to create different IT products, from web applications to AI learning algorithms and platforms. 


This dynamic and interpreted language also serves other industries based offline. There are no limits on producing goods by Python exist. You can ask numerous devs or mobile app development services to code the perfect IT product for you. 


Thus, where can you design with Python?


  • Web development

Django and Flask, Python frameworks, have become spread in web development. That is used to create website logic running on the server in the back-end. 


These frameworks simplify the processes of generating HTML pages that the user sees in his browser, database queries, and address processing. The classes used with Python are handier and shorter than in any other coding language. 


  • Analysis and visualization of data

Matplotlib is a comprehended visualization library for drawing two-dimensional 2D graphics. The Python updated version was created to interact with any database as simply and clearly as possible. 


In particular, the working environment of the language contains a programming interface for working with databases directly in the script using SQL queries. The Python code will require only minimal modifications if you need to use it for Oracle and MySQL databases.


  • Process Automation

Many devs use Python as a convenient tool to complete small scripts. That enriches every office and company’s routine by making diverse processes automatical. A slight example relates to the way the email system is processing. 


Sure, that might be done manually. To make a collection of statistical data and analyze it, you need to count the number of incoming emails containing particular keywords. Yet, you can create an easy script that will calculate every title or tag.


  • Machine Learning 

Python is perfect for that purpose. One acquires the ability to recognize people’s faces and voices with systems written with Python. Likewise, it matches the needs of professionals in deep learning and neural network. 


There are frameworks and databases for machine learning. The two most popular are twofold: scikit-learn and TensorFlow. Scikit-learn is an open-source machine learning software library for the Python programming language. The latter is a more low-level library. It allows you to create custom algorithms.


  • System programming and administration

Python has interfaces for managing services of various operating systems in which it runs - Linux, Windows, etc. Therefore, it is convenient to write portable applications for PC using Python. With it, you can speed up the opening and search for files in folders, launch programs, calculations, and other typical tasks.


The main advantage of Python is its low entry threshold. In other words, almost anyone can learn to program in this language. Thus, look for a reliable course and start practicing if you want to start coding. 

Author’s bio: Anastasiia Lastovetska is a technology writer at MLSDev, a software development company that builds web & mobile app solutions from scratch. She researches the area of technology to create great content about app development, UX/UI design, tech & business consulting.