In the early IT era, C++ and Java were the go-to languages, while Python was often overlooked. But with the rise of data science and analytics, the rigid complexity of traditional languages became a barrier. Businesses began seeking smarter, more flexible alternatives. Back then, Python development lacked structure—many developers worked independently, and projects often lost momen... https://www.quixom.com/