Ada vs. Java vs. Python vs. TensorFlow Comparison Chart

Ada is a state-of-the-art programming language that development teams worldwide are using for critical software, from microkernels and small-footprint, real-time embedded systems to large-scale enterprise applications, and everything in between. Why use Ada? In short, because you want to write reliable and efficient code, with confidence that it works, and not waste time and effort in the process. Ada is unique among languages in how it helps you detect and eliminate bugs early in the software life cycle when they are least expensive to correct. And as evidenced by the many successfully fielded applications that need to meet a hard time or space constraints, Ada helps you build software that is reliable, safe, and secure without sacrificing performance. At the technical level, Ada has everything you might expect in a modern language. Concurrent programming features, including support for multicore.

The core of extensible programming is defining functions. Python allows mandatory and optional arguments, keyword arguments, and even arbitrary argument lists. Whether you're new to programming or an experienced developer, it's easy to learn and use Python. Python can be easy to pick up whether you're a first-time programmer or you're experienced with other languages. The following pages are a useful first step to get on your way to writing programs with Python! The community hosts conferences and meetups to collaborate on code, and much more. Python's documentation will help you along the way, and the mailing lists will keep you in touch. The Python Package Index (PyPI) hosts thousands of third-party modules for Python. Both Python's standard library and the community-contributed modules allow for endless possibilities.