Lauren Herwehe

Lauren Herwehe has contributed to the materials listed below.

Course Lessons

Course lessons are developed as a part of a course curriculum. They teach specific learning objectives associated with data and scientific programming. Lauren Herwehe has contributed to the following lessons:

How Do You Design and Automate a Data Workflow

Designing and developing data workflows can help you complete your work more efficiently by allowing you to repeat and automate data tasks. Learn how to design and develop efficient workflows to automate data analyses in Python.

Learn to Write Pseudocode for Python Programming

Pseudcode can help you design data workflows through listing out the individual steps of workflow in plain language, so the focus is on the overall data process, rather than on the specific code needed. Learn best practices for writing pseudocode for data workflows.

Data Workflow Best Practices - Things to Consider When Processing Data

Identifying aspects of a workflow that can be modularized and tested can help you design efficient and effective data workflows. Learn best practices for designing efficient data workflows.

About the ReStructured Text Format - Introduction to .rst

Restructured text (RST) is a text format similar to markdown that is often used to document python software. Learn how create headings, lists and code blocks in a text file using RST syntax.

Introduction to Documenting Python Software

Lack of documentation will limit peoples’ use of your code. In this lesson you will learn about 2 ways to document python code using docstrings and online documentation. YOu will also learn how to improve documentation in other software packages.

The GitHub Workflow - How to Contribute To Open Source Software

Open source means that you can view and contribute to software code like packages you use in Python. Learn about the ways that you can contribute without being an expert progammer.

Introduction to Open Source Software - What Is It and How Can You Help?

Open source means that you can view and contribute to software code like packages you use in Python. Learn about the ways that you can contribute without being an expert progammer.

Measure Changes in the Terrain Caused by a Flood Using Lidar Data

A flood event often changes the terrain as water moves sediment and debris across the landscape. Learn how terrain changes are measured using lidar remote sensing data.

Rain: a Driver of the 2013 Colorado Floods

The amount and/or duration of rainfall can impact how severe a flood is. Learn how rainfall is measured and used to understand flood impacts.

How the Atmosphere Drives Floods: The 2013 Colorado Floods

Changes in the atmosphere, including how quickly a storm moves can impact the severity of a flood. Learn more about how atmospheric conditions impact flood events.

An Overview of the 2013 Colorado Floods

The 2013 flood event caused significant damage throughout the state of Colorado, USA. Learn about what caused the 2013 floods in Colorado and also some of the impacts.

Data tutorials

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