According to the , Python has emerged as the language developers want to use more than any other this year for building data-intensive projects, which can range from automating robots to fueling internet of things (IoT) networks with sensor intelligence. Once an obscure scripting language, Python now powers some of the most complex applications on the cloud.
Python is on the rise in large part because it allows developers to quickly analyze and organize data, making it especially effective for streaming analytics apps built on the cloud.
Streaming analytics, or event stream processing, has become pivotal to the growth of IoT and the corresponding increase of information being collected on the cloud from sensors across industries. It’s the most effective way to keep track of events ranging from equipment failure to financial transactions, as well as to compile and analyze real-time data on the cloud or at the edge of the network.
This compatibility has spurred a greater number of streaming analytics cloud services to offer the growing Python community the tools needed to compile data and build in their preferred language. In turn, this has accelerated how quickly developers can harness real-time data for more intelligent solutions across manufacturing, finance, operations and other industries.