Description
Building Efficient Containers for Python Applications
In recent years, containerization using tools like Docker has become a cornerstone for deploying applications efficiently. This talk focuses on techniques and best practices to build more efficient Docker images for Python in order to generate reproducible and quicker builds while reducing the image sizes at the same time.
Speaker: Avik Basu
Avik is an experienced Data Scientist and Machine Learning Engineer. Currently he leads AIOps at Intuit. He was first introduced to Python in 2013 during his undergrad, and has been his primary language since then. He views writing elegant Python code as an art, blending creativity with engineering precision. Presently, he leads the Machine Learning efforts for AIOps at Intuit.