Python continues to be one of the most popular coding languages in use. In fact, the TIOBE index of programming language popularity named it the 2018 Language of the Year. Its usage and adoption continue to grow and proliferate into additional use cases.
Python’s popularity and growth are in part because it’s flexible and easy to use. Python has grown from a scripting solution for sysadmins to web development for programmers to the driving force behind machine learning. We’ve observed this growth since 1999, when we began to build engineering Python distributions. As we’ve seen the use cases grow, we’ve examined the top use cases by customers ActiveState has observed.
Let’s look at the three most popular Python use cases within the traditional tech space: infotech, software and hardware.
The IT team of a state legislature is challenged to be able to remotely manage thousands of user desktops. Its 147 representatives, as well as its hundreds of supporting personnel, work on-premises and/or remotely. One of the key tools that empowered the team was Windows Powershell. Unfortunately, Powershell is unsupported and no longer works under newer Microsoft operating systems.
Rewriting any application that’s a cost center is always difficult to justify. As a result, rewrites are rarely budgeted, planned and resourced appropriately. But the alternative was much costlier in terms of capital and resources: dispatch IT personnel to physically install, update and manage each user’s desktop, on an on-call basis.
It’s famously easy to get started and develop with Python. While there was no way around a rewrite of the desktop management scripts, the IT team could at least minimize the time and resources required. Python allowed Powershell script rewrites to be done incrementally in IT’s spare time. This translated into a significant lowering of costs, and reduction in the risk of a “big bang” rip and replace project.
A U.S.-based public company has a 30-plus-year history of providing a suite of electronic design automation (EDA) tools to their more than 5,000 customers worldwide. Its suite of tools historically was built in C++ and is packaged for deployment on-premises.
Because each customer has their own instance, it’s natural for the customer to want to customize the suite of tools to their needs. The U.S. public company used Python to wrap some of its C++ APIs to expose key functionality, making their software solutions more extensible by customers. Ensuring Python was deployed properly at customer sites required including Python within their existing installer, rather than relying on their customers to install Python correctly.
The company used an OEM distribution Python that added a standard version of Python within their application and deployed it, so all teams can customize and leverage the EDA tools as required. Plus, by deploying a standardized Python version across all customer sites and developer desktops, the company can decrease support costs and speed time to market by eliminating the need for legal department reviews. Further, using a third-party-standardized Python version eliminates the opportunity cost of managing one’s own Python build and can facilitate the discovery of issues, bugs and performance issues.
A Silicon Valley-based American technology leader develops, manufactures and sells networking hardware. A key enterprise demographic for the company is network administrators, who often are confronted with managing the vendor’s multiple devices across extended corporate networks.
The challenge: Network admins aren’t typically developers. Yet, they want to improve their efficiency by being able to programmatically make configuration changes to multiple network devices at once. While sample scripts are easy for any network admin to use and modify, the vendor did not want to be held responsible for creating all the scripts its user base might require.
Python was the solution because it is simple enough for any technical person to learn and start using effectively. The company chose a version of Python that allows their customers to quickly create sample Python scripts to cover the majority of typical network admin use cases.
This choice also allows network admins to create Python libraries they can leverage to create their own custom scripts to manipulate the configuration, operational state or event data from network devices. Most importantly, the cost of administering enterprise networks is significantly lowered and network admins are dramatically more efficient with programmatic access to physical networking devices and virtual network resources.
Other examples that round out the top 10 use cases for Python include:
Python’s usage continues to grow due to its simplicity and flexibility. Developers clearly want to use it for a variety of reasons that surpass its creator’s original intent. To support this usage, organizations need to ensure their developers can do so securely, by overcoming open source vulnerabilities while still iterating quickly. It seems that use cases for Python are limited only to the imaginations of its growing, enthusiastic user base.
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