Python provides a datetime object for storing and working with dates. Learn how you can convert columns in a pandas dataframe containing dates and times as strings into datetime objects for more efficient analysis and plotting.
last updated: 11 Sep 2020
Python provides a datetime object for storing and working with dates. Learn how you can convert columns in a pandas dataframe containing dates and times as strings into datetime objects for more efficient analysis and plotting.
last updated: 19 Jan 2022
Learn how to calculate exceedance probability and return periods associated with a flood in Python.
last updated: 11 Sep 2020
The Jupyter ecosystem contains many useful tools for working with Python including Jupyter Notebook, an interactive coding environment. Learn useful shortcuts in Jupyter Notebook that can help you complete your tasks quickly and efficiently.
last updated: 14 Sep 2020
The Jupyter ecosystem contains many useful tools for working with Python including Jupyter Notebook, an interactive coding environment, and the Jupyter Notebook dashboard, which allows you to manage files and directories in your Jupyter environment. Learn how to manage Jupyter Notebook files including saving, renaming, deleting, moving, and downloading notebooks.
last updated: 14 Sep 2020
The Jupyter ecosystem contains many useful tools for working with Python including the Jupyter Notebook dashboard, which allows you to manage files and directories in your Jupyter environment. Learn how to create, rename, move, and delete directories using the Jupyter Notebook dashboard.
last updated: 03 Sep 2020
The Jupyter ecosystem contains many useful tools for working with Python including Jupyter Notebook, an interactive coding environment. Learn how to work with cells, including Python code and Markdown text cells, in Jupyter Notebook.
last updated: 14 Sep 2020
The Jupyter ecosystem contains many useful tools for working with Python including Jupyter Notebook, an interactive coding environment. Learn how to launch and close Jupyter Notebook sessions and how to navigate the Jupyter Dashboard to create and open Jupyter Notebook files (.ipynb).
last updated: 03 Sep 2020
The Jupyter ecosystem contains many useful tools for working with Python including Jupyter Notebook, an interactive coding environment. Learn how the components and functionality of Jupyter Notebook can help you implement open reproducible science workflows.
last updated: 03 Sep 2020
When plotting raster and vector data together, the extent of the plot needs to be defined for the data to overlay with each other correctly. Learn how to define plotting extents for Python Matplotlib Plots.
last updated: 21 Jan 2022
Sometimes you want to customize the colorbar and range of values plotted in a raster map. Learn how to create breaks to plot rasters in Python.
last updated: 21 Jan 2022
Folium is a Python package that can be used to create interactive maps in Jupyter Notebook. Learn how to create interactive maps with raster overlays in Python using Folium.
last updated: 21 Jan 2022