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What is Python? A versatile programming language for different purposes

Python has found its place among the most popular programming languages for a while now. There are multiple reasons to back up this state of things, as Python remains a highly versatile tool for complex statistical calculations, data science and more. See why we value Python and enjoy using it in different projects.


Learning Python can be easy

Given its relatively low learning curve due to simple syntax similar to everyday English. It allows it to maintain a certain level of complexity without being overly complicated, and commands are easy to understand and remember.

Another reason for making it easier to learn and master is a large and supportive community ready to help whenever needed. Many active developers also create a variety of frameworks and libraries that allows them to learn Python more efficiently. It also offers a range of libraries and frameworks for build control and bug tracking.


What is Python used for?

Python is classed as one of the most versatile programming languages. It allows flexibility when creating different projects. Python can be used across various industries and for different needs. Let’s have a look at some of the most common ones.

Check out our article on different uses of Python in businesses

Read about Python

Artificial intelligence and machine learning

What else is Python used for? One of the recently popular uses of this language includes AI and machine learning. Its ability to analyse big data and find patterns, trends and associations makes it helpful for those purposes.

The larger the data set, the better chance for the learning algorithms to process the data and provide the results quicker. Many libraries are also already available, like NumPy, SciPy and Scikit-learn.

Web development

Web development Python frameworks like Django allow for efficient work and allow web developers to program more effectively. Django is ideal for building full web applications (including enterprise management applications) and medium-range scalable projects. It also works well with databases like MySQL.

Data analysis

Data scientists value Python for its simple syntax, as it reduces data analyst’s time to familiarise themselves with the language. Various libraries, like Scrapy, make science and data analytics more straightforward and automated. They can also use other libraries for data visualization and processing data.


Other applications

Besides those mentioned above, Python has other uses, even if the software developers are slightly less vocal. Among others, they include:

Game development

This language is equipped to develop entire games with 3D graphics, as it comes with a built-in game dev library, “pygame”. However, Python code can also create functionalities and add-ons in larger games.

Software testing

Sometimes, instead of using Python as the default language, the developers apply it for testing software and new ideas, processes and algorithms to see if they could find a place in the final product. When the idea is not yet wholly feasible, Python may be a cheap solution for testing it.

Embedded systems

External programs can test embedded systems efficiently. Writing a separate testing algorithm on a separate device (among other languages, also in Python) can simulate the algorithm on the embedded system for hassle-free testing.

Why should you consider Python for software development?

There are many reasons behind making Python so popular. Due to its versatility, it can find its place in task automation, project management and other aspects of the business. The main benefits of using Python include:

Relatively low learning curve

Thanks to its intuitive syntax and large, active community, learning this language can be relatively easy.


Python is highly scaleable, and writing code can grow with the project. Instagram, Facebook, and Pinterest are the most prominent examples of adopting it into scaleable products.


Developers can use this versatile language n different platforms and major operating systems. Python belongs to WORA (Write Once, Run Anywhere) languages. Which makes it a good multiplatform choice.


Help us build your next project with our Python experts

Whether you need a data science project, help with organising relevant data or develop a web application, we are here to help. Our software developers have proven to be more than capable across different projects we made for our clients.

If you want to start using Python or need the best team to join you in the next endeavour, contact us and let’s discuss your needs!