Ten industries using Python programming

ActiveState released a new report examining the top 10 use cases of the open source language Python. They (ActiveState) has been building Python since 1999 and has seen customers’ use of Python grow from a scripting solution for sysadmins to web development for programmers to the driving force behind machine learning.

Use cases have grown, along with usage and adoption, as Python has evolved over the past two decades.

The top 10 most common uses of Python by industry include:

Insurance: Creating business insights with machine learning
Retail Banking: Flexible data transformation and manipulation
Aerospace: Meeting software system deadlines
Finance: Data mining to identify cross-sell opportunities
Business Services: API access to financial information
Hardware: Automating network administration
Healthcare: Predicting disease prognosis
Consulting Services: Bespoke web development
InfoTech: IT modernization
Software: Adding extensibility to legacy applications

The report is part of ActiveState’s undertaking to better understand the needs and pain points of industry related to open source languages. ActiveState aims to decrease the costs and risks of managing open source languages and enable enterprises to maximize their related benefits.

Bart Copeland, CEO, ActiveState, said: “Since our founding, we have been helping developers and enterprises eliminate costs and risks of working with open source languages. To date, millions of enterprise developers worldwide have downloaded and deployed our commercial offering of Python, ActivePython. Our goal is to help millions more. The insights reflected in this report are foundational pillars for our vision for Open Source Language Automation. Our ActiveState Platform to automatically build, certify and resolve open source languages is the linchpin to our vision. ”