Python code optimization may seem easy or hard depending on the performance target. If the target is “best effort”, carefully choosing the algorithm and applying well-known common practices is usually enough. If the target is dictated by the UX, you have to go down a few abstraction layers and hack the system sometimes. Or rewrite the underlying libraries. Or change the language, really. This post is about our experience in Python code optimizations when whatever you do is not fast enough.

5G has proven to be a game-changer for several businesses. Given the advancements in O-RAN contributed by cloud-native design & 5G Core, telecommunication vendors, Communication Service Providers (CSPs), and enterprises are trying to deliver an extraordinary customer experience by leveraging 5G. This also presents a massive opportunity for service providers to simplify and enhance customer experience, fortify existing revenue streams, and tap into new markets.

Change is critical to growth. Especially if you’re running a business in today’s volatile market. The silver lining is that we are at the peak of innovation, moving forward from a decade filled with disruptions, catalysing transformations. Over the years, enterprise IT has evolved to play a more significant role in business. Innovation, macro-economic factors, unexpected disruptions, and other internal and external factors have caused the change.