In the early IT landscape, C++ and Java were the go-to languages, while Python was often overlooked. As data science and analytics gained traction, the complexity of traditional languages highlighted the need for something simpler and more adaptable. At that time, Python development lacked structure, with many projects abandoned midway by independent contractors. We saw this gap as an... https://www.quixom.com/