Peter Grant
Senior Scientific Engineering Associate at Lawrence Berkeley National Laboratory
Expertise: Data science and python
Education: Stanford University; University of Colorado, Boulder
Peter Grant is a building energy efficiency expert at Lawrence Berkeley National Laboratory. Grant received his M.S. in architectural engineering from the University of Colorado Boulder and a graduate certificate in innovation and entrepreneurship from Stanford. He’s worked as an energy efficiency expert and engineer since 2007.
Sort By
Most Recent
32 Articles
Here’s how to write Python scripts to check your data for errors (minus the tedium of doing it yourself).
When we’re working with large amounts of data, errors are inevitable. Here’s how to check your data for errors manually using Python.
Working with large data sets can be a challenge. Learn how to automate your analysis using these simple Python scripts.
Have you perfected the fundamentals of control flow? These tips and tricks will take your Python game to the next level.
Your Python scripts have to make decisions and control flow is the key.
As a data scientist, developing great models and extrapolating nuanced insights won’t get you far if you can’t communicate your findings clearly. Here’s how to present your work using bokeh.
Linear regression is a simple tool to study the mathematical relationship between two variables. Here’s how to try it for yourself.
Multiple regression is an extension of linear regression models that allow predictions of systems with multiple independent variables.