This document discusses tools for data scientists. It begins with an introduction of the presenter and agenda. It then covers topics like data science, the data science process, notebooks/IDEs, methods and algorithms, software, deep learning tools, programming languages, cloud services, and computing power. Specific tools mentioned include Jupyter Notebook, RStudio, TensorFlow, Python, and cloud services from Amazon, Azure, and Google. The document concludes by introducing FlyElephant as a solution for high performance computing, data science engineering, and more.