The field of data science has seen tremendous growth with Python becoming the de facto language for connecting data science. However, due to Python's limitations, scaling code can be a steep learning curve, often requiring rewriting native Python source code in another architecture. This bottleneck hinders development and can lead to companies being outcompeted by rapidly changing data science landscapes. The Bodo architecture simplifies infrastructure by unifying production and development environments through a single source code, software stack, and dataset, utilizing open-source Numba Just-In-Time compiler technology and high-performance computing technologies. This solution enables productive data science, accurate insights, and cost-effective infrastructure through unparalleled efficiency, and is optimized for real-time insights from Cloud to Edge. Bodo allows deployment of native Python frameworks on cloud infrastructures without code rewrites, and offers features such as running different workloads on various environments, being fully portable, and adapting to emerging complexity.