Learn about the latest skills and tools being used in the earth data science field. Get tips and tricks on scientific programming and learn what skills and tools will give you an edge in the job market.
Also learn about the tools being used to work with different types of data in R and Python.
Making your codebase more robust with unit tests, linting, and continuous integration improves your ability to reuse code in house and greatly reduces the effort needed to share code. In this post, you will learn how to integrate testing with pytest, linting with black and flake8, and continuous integration with Travis.
Blogging is a great way to communicate the importance and results of scientific projects. Learn tips and tricks to get the most out of science blogging.
Earth analytics expertise leads to lucrative and meaningful job opportunities. Get a competitive edge with these in-demand earth data science skills.
The Earth analytics field sits at the intersection of data science and earth sciences. Discover why hiring managers are seeking earth data science skills.