Jesse Daniel

has five years’ experience writing applications in Python, including three years working within the PyData stack (Pandas, NumPy, SciPy, scikit-learn). He joined the faculty of the University of Denver in 2016 as an adjunct professor of business information and analytics, where he taught a Python for Data Science course. He currently leads a team of data scientists at a Denver-based ad tech company.

books by Jesse Daniel

Data Science with Python and Dask
  • July 2019
  • ISBN 9781617295607
  • 296 pages
Included with a Manning Online subscription
  • printed in black & white
  • Available translations: Korean, Simplified Chinese
catalog / Software Development / Cloud / Machine Learning / Data Science and Analytics

Data Science with Python and Dask teaches you to build scalable projects that can handle massive datasets. After meeting the Dask framework, you’ll analyze data in the NYC Parking Ticket database and use DataFrames to streamline your process. Then, you’ll create machine learning models using Dask-ML, build interactive visualizations, and build clusters using AWS and Docker.