Intro to earth data science textbook
intro-to-earth-data-science-textbook Home

Lesson 1. Text File Formats for Earth Data Science

Jenny Palomino, Leah Wasser

Text File Formats for Earth Data Science - Intro to earth data science textbook course module

Welcome to the first lesson in the Text File Formats for Earth Data Science module. There are many text file formats that are useful for earth data science workflows including Markdown, text (.txt, .csv) files, and YAML (Yet Another Markup Language). Learn about these common text file formats for earth data science workflows.

Chapter Four - Text File Formats for Earth Data Science

In this chapter, you will learn about common text file formats for earth data science workflows including Markdown, text (.txt, .csv) files, and YAML (Yet Another Markup Language).

After completing this chapter, you will be able to:

  • Explain what the Markdown format is and describe its role in the documentation of earth data science workflows.
  • Use basic Markdown syntax to format text in Jupyter Notebook files.
  • Describe how text (.txt) and CSV files can be used for scientific data.
  • Explain how YAML is used to support earth data science workflows.

What You Need

Be sure that you have completed the previous chapter on Jupyter Notebook.

Markdown in Jupyter Notebook

Leave a Comment

You May Also Enjoy

Plot Data With Matplotlib

1 minute read

This Week

Calculate Seasonal Summary Values from Climate Data Variables Stored in NetCDF 4 Format: Work With MACA v2 Climate Data in Python

26 minute read

Learn how to calculate seasonal summary values for MACA 2 climate data using xarray and region mask in open source Python.

Calculate Summary Values Using Spatial Areas of Interest (AOIs) including Shapefiles for Climate Data Variables Stored in NetCDF 4 Format: Work With MACA v2 Climate Data in Python

32 minute read

Climate datasets stored in netcdf 4 format often cover the entire globe or an entire country. Learn how to subset climate data spatially and by time slices u...

How to Open and Process NetCDF 4 Data Format in Open Source Python

26 minute read

Historic and projected climate data are most often stored in netcdf 4 format. Learn how to open and process MACA version 2 climate data for the Continental U...