Real World Applications for Python Skills

Real World Applications for Python Skills

Software Development

Python is widely used in software development, across a wide variety of real-world applications. The line between software development and web development is a bit blurry these days, since almost all software is built to work on the web even when there’s also a desktop app. Dropbox is a good example of a modern software development company that does both, and Python was used to build Dropbox’s desktop app. Similarly, Spotify has both web and desktop apps, and Python was used to build a number of the background services that make them work.

Of course, Python is also used at many companies to develop internal software tools.

Example use case : A company plans to build a new email client. The developers choose to use Python because they know they’ll be able to create web and desktop clients using Python and its relevant libraries.

Data Engineering

Many of the Python libraries that make it a great option for data analysts and data scientists also make Python an important language for data engineers. Data engineers use Python for tasks such as building pipelines, combining datasets, cleaning data, working with APIs, automating various data processes, etc.

Example use case : A company has a lot of data, but it’s stored in various formats and databases, making it time-consuming for analysts to find and work with. A data engineer could use their Python skills to build a pipeline that automates collection from the various sources, joins and cleans the data, and makes it easier for analysts to access and filter.


Python is a popular language in the field of robotics, both among hobbyists and professionals. On the hobbyist end of the spectrum, Python is frequently used together with the Raspberry Pi hardware platform, which allows for flexible and affordable experimentation. In business, Python is one of the languages commonly used for robotic process automation (RPA), and it’s been used to do things like code industrial robot arms that can work in tandem with each other.

Example use case : A company orders a number of robotic arms for a manufacturing facility. Engineers could use Python to program their behavior, taking advantage of the language’s high-level readability to make it easier for everyone to understand what the arms are meant to be doing.

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