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.

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Prescriptive analytics image of a dark-haried woman in a button-down blouse and pencil skirt delivering a presentation of data visualizations to a group of three men sitting at a conference table.
Prescriptive analytics is a tool used in many industries to connect causes to effects, and make well-informed decisions. Here’s why, when and how we use prescriptive analytics.
monte carlo simulation image of a craps table at a Monte Carlo casino
Monte Carlo simulations are a tool we use to predict the probability of various outcomes in a process that’s difficult to assess due to random variables. Here’s how to perform one yourself.
GAAP generally accepted accounting principles illustrated image of several miniaturized people working at a calculator, looking at a a spreadsheet, sitting on a stack of coins and looking at an account ledger
GAAP (the generally accepted accounting principles) are a set of rules that public U.S. companies must follow when reporting financial information.
Financial accounting image of an abacus leaning upright against a wall
Financial accounting is a specific process of recording, processing and reporting a company’s business transactions. These transactions are recorded in financial statements that detail the organization’s financial health.
Alphanumeric characters image of a torn piece of paper and underneath you can see the word password written in alphanumeric and special characters
Alphanumeric characters are the alphabetical letters and numerical numbers used in a given language.
Here’s how to solve your datetime, Pandas indices and daylight saving time nightmares.
Do you need to improve your regression model’s performance? Use this sample Python code to help you find residuals in your own projects.
This quick how-to will introduce you to the Python float function and show you how you can create them yourself.
Do you need to ditch your outliers? Here’s how to find (and remove) outliers in your data set with IQR.
automate data analysis
In this step-by-step tutorial, I’ll show you how to automate your data analysis using a real-world problem.
Here are six things you need to know about using these powerful tools in order to write more Pythonic code.
person coding on a desktop computer
Are you looking to try your hand at programming in Python but not sure where to start? Anaconda will make your life a lot easier.