Python for Speed, Scale, and Science
Python is sometimes discounted as slow because of its dynamic typing and interpreted nature and not suitable for scale because of the GIL. But, in this talk, I will show how with the help of talented open-source contributors around the world, we have been able to build systems in Python that are fast and scalable to many machines and how this has helped Python take over Science.
- Founder and CEO/CTO of Quansight
- Prior to Quansight, he founded Anaconda and established the industry-standard platform for data science and machine learning
- Creator of industry cornerstones such as NumPy, SciPy, Numba, Conda, XND, NumFOCUS
- Travis is a well-known leader in the Python Data community