PyleoTutorials: A Gentle Introduction to the Pyleoclim Package.#
A collection of science-driven tutorials for using the Pyleoclim Python package.
Made with contrib.rocks.
The notebooks are organized in three levels:
Getting Started: basic tutorials to understand the main classes and their uses, requiring minimal knowledge of Python
Manipulating Data and Graphics: more advanced tutorials involving customization and more knowledge of Python
Data Analysis with Pyleoclim: tutorials involving more advanced data analysis techniques, requiring some domain knowledge to apply and interpret properly.
How to run these notebooks#
myBinder allows you to run the notebooks in a no-install cloud container. The top right corner of each tutorial has a spaceship icon that will launch a myBinder instance of each notebook. Until recently, myBinder was supported by the Google Open Source Program Office, which is now being abandoned. This means that starting up a myBinder instance to run one of our notebooks swill be even slower than before (as in: possibly waiting forever). Until that is resolved, myBinder may not be a practical solution.
You may also download each notebook and run them with a local install of the conda environment. To do so, the best is to use the
environment.yml file with
conda to install the required packages within an anaconda or miniconda installation. Once you’ve cloned our repository, open a terminal, navigate to a folder containing
environment.yml , then run the command :
conda env create -f environment.yml
This will install all the required packages and their dependencies. It may take a few minutes the first time, but after that you will have the power of Pyleoclim and allied packages at your local disposal.
If you are new to conda, just know that it is an environment manager for Python. What is an environment, you may ask? Think of it as a piece of your computer where all the Python libraries that you need for a specific application live in perfect harmony. To access this paradise, you need to activate the environment. If you used the
conda activate pyleo
This work was supported by NSF Grant ICER 2126510.