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index d9313a21..367abe65 100644 --- a/_preview/451/_sources/cookbook-tasklist.md +++ b/_preview/451/_sources/cookbook-tasklist.md @@ -9,7 +9,7 @@ Once we've marked this entire checklist, [click here to open an issue on Project --- - [ ] **Confirm you’ve followed the entire Project Pythia [Cookbook Guide](https://projectpythia.org/cookbook-guide.html)**. -Take note especially of the **Develop your cookbook**, **Authorship and the CITATION.cff file**, **Gallery tags**, and **Generate a DOI** sections. **Save the step of making a “release” of your cookbook as the last step of this checklist.** +Take note especially of the [Develop your cookbook](https://projectpythia.org/cookbook-guide.html#develop-your-cookbook), [Authorship and the CITATION.cff file](https://projectpythia.org/cookbook-guide.html#authorship-and-the-citation-cff-file), and [Gallery tags](https://projectpythia.org/cookbook-guide.html#gallery-tags) sections. **Save the [Generate a DOI](https://projectpythia.org/cookbook-guide.html#generate-a-doi) step as the last step of this checklist.** - [ ] **Confirm that the individual notebooks within your Cookbook adhere to the [notebook template](https://github.com/ProjectPythia/cookbook-template/blob/main/notebooks/notebook-template.ipynb)**. If the template does not fit your Cookbook’s needs, that’s fine too! Simply let us know here in this issue. - [ ] **Finalize your Cookbook repository name.** @@ -40,7 +40,7 @@ This can be seen in individual Pull Requests as green checkmarks ✅ for importa - trigger-link-check will fail if links in your content can not be resolved. We can help ignore links that are broken even if they work on manual clicks. - Code errors in your notebooks themselves - [ ] **Identify a Maintainer team via GitHub handle(s) in this thread.** -This can be one or more people with availability to check in on this Cookbook, issue fixes to broken content, or with a vision for the future development of the Cookbook. +This can be one or more people with availability to check in on this Cookbook, issue fixes to broken content, or with a vision for the future development of the Cookbook. This is typically (but not necessarily) one of the primary authors of the Cookbook. - [ ] **Finally, release your Cookbook!** - On the right-hand sidebar for your Cookbook repository, click “Create a new release”. If you don’t see this button, you may need to click on the “Releases” header first and “Create” or “Draft” a new release. ![GitHub Repository sidebar section titled "Releases"](https://raw.githubusercontent.com/ProjectPythia/projectpythia.github.io/main/portal/_static/images/4-releases.png "Releases") diff --git a/_preview/451/_sources/index.md b/_preview/451/_sources/index.md index 99dbdfc9..6b1cd91a 100644 --- a/_preview/451/_sources/index.md +++ b/_preview/451/_sources/index.md @@ -9,9 +9,8 @@ An education and training hub for the geoscientific Python community - - Project Pythia is hosting a Cookbook Cook-Off June 11-14, 2024.
- Learn more here. + + Donate to support Project Pythia! [Project Pythia](about) is the education working group for [Pangeo](https://pangeo.io) diff --git a/_preview/451/_sources/posts/fundraiser.md b/_preview/451/_sources/posts/fundraiser.md new file mode 100644 index 00000000..68850e75 --- /dev/null +++ b/_preview/451/_sources/posts/fundraiser.md @@ -0,0 +1,39 @@ +--- +blogpost: true +date: Jun 28, 2023 +author: Julia kent +tags: fundraiser +--- + +# Donate to Support Project Pythia! + +## You can make an impact on our community! +By donating to support Project Pythia you are investing in an important educational resource for the entire geoscience community, from students to late career. Project Pythia is an education working group helping geoscientists make sense of huge volumes of numerical scientific data using tools that facilitate open, reproducible science, and building an inclusive community of practice around these goals. Project Pythia is a home for Python-centered learning resources that are open-source, community-owned, geoscience-focused, and high-quality. + +Donations contribute to outreach and community engagement activities, such as participant support at our annual hackathons. + +## Friends of the National Center +Friends of the National Center is the fundraising arm of the University Corporation for Atmospheric Research (UCAR), which manages the National Science Foundation National Center for Atmospheric Research. UCAR is a non-profit organization, so all donations to Project Pythia are tax-deductible to the fullest extent allowed by law. + +We accept donations through the following ways:
+**Online** – Click the Donate Button on the right (we accept credit cards, Paypal and ApplePay).
+**Check** – Mail your check made out to UCAR and send it to:
+UCAR – Friends of the National Center
+Attn: Sarah Swanson
+PO BOX 3000
+Boulder, CO 80307
+Please include in the memo: Donation for Project Pythia
+**Stock gifts, ACH Transfers, etc.** – Please reach out to Friends of the National Center at info@friendsofthenationalcenter.org + + + + + +

diff --git a/_preview/451/_sources/resource-gallery.md b/_preview/451/_sources/resource-gallery.md index 15e6d85e..d5fd01af 100644 --- a/_preview/451/_sources/resource-gallery.md +++ b/_preview/451/_sources/resource-gallery.md @@ -14,7 +14,7 @@ Resource Gallery :::{dropdown} affiliation
    -
    • +
::: @@ -64,7 +64,7 @@ Resource Gallery

Your First Python Tutorial

 -

Author: Xdev Team
Affiliation: NCAR

+

Author: Xdev Team
Affiliation: NSF NCAR

A tutorial for getting started with Python aimed at scientists with experience in at least one other coding language. Designed to teach you Python, not package specific syntax.

@@ -82,70 +82,6 @@ Resource Gallery -:::{grid-item-card} -:shadow: md -:class-footer: card-footer -:class-card: tagged-card course unidata - -
- -
-

Unidata Python Training

 -

Author: Anonymous
Affiliation: Unidata

-

Introduction to Python for Atmospheric Science and Meteorology. Unidata is working to create a collection of online training materials focused on the use of Python in the atmospheric sciences. While our examples and scenarios may feature Unidata tools and data technologies, our aim is to present a generic ... more

-
-
- -
-
- -

Unidata Python Training

-Author: Anonymous -
-Affiliation: Unidata -

Introduction to Python for Atmospheric Science and Meteorology. Unidata is working to create a collection of online training materials focused on the use of Python in the atmospheric sciences. While our examples and scenarios may feature Unidata tools and data technologies, our aim is to present a generic set of freely available tools that are generally useful to scientists, educators, and students in the geosciences, broadly defined. -

-

Course -Unidata

-

Visit Website

-
-
- - -+++ - -Course -Unidata - -::: - - - -:::{grid-item-card} -:shadow: md -:class-footer: card-footer -:class-card: tagged-card jupyter unidata - -
- -
-

Unidata Python Workshop - Jupyter Notebooks Introduction

 -

Author: Anonymous
Affiliation: Unidata

-

Jupyter notebooks are a great way to have code, output, images, video, and other information in one place. Notebooks are an ideal tool for the student, research scientist, and even software developer. In this lesson we will go over the basic features of Jupyter notebooks and how to use them. -

-
-
- - -+++ - -Jupyter -Unidata - -::: - - - :::{grid-item-card} :shadow: md :class-footer: card-footer @@ -155,7 +91,7 @@ Resource Gallery

An Introduction to Earth and Environmental Data Science

 -

Author: Ryan Abernathey, Kerry Key
Affiliation: Lamont-Doherty Earth Observatory

+

Author: Kerry Key, Ryan Abernathey
Affiliation: Lamont-Doherty Earth Observatory

This book grew out of a course developed at Columbia University called Research Computing in Earth Science. It was written mostly by Ryan Abernathey, with significant contributions from Kerry Key. By separating the book from the class, we hope to create an open-source community resource for python education ... more

@@ -164,7 +100,7 @@ Resource Gallery

An Introduction to Earth and Environmental Data Science

-Author: Ryan Abernathey, Kerry Key +Author: Kerry Key, Ryan Abernathey
Affiliation: Lamont-Doherty Earth Observatory

This book grew out of a course developed at Columbia University called Research Computing in Earth Science. It was written mostly by Ryan Abernathey, with significant contributions from Kerry Key. By separating the book from the class, we hope to create an open-source community resource for python education in the Earth and Environmental Sciences. @@ -644,7 +580,7 @@ Resource Gallery

GeoCAT Tutorial

 -

Author: GeoCat
Affiliation: NCAR

+

Author: GeoCat
Affiliation: NSF NCAR

The examples below show GeoCAT-comp functions being utilized in real-world use cases. They also demonstrate how GeoCAT-comp can be used to make plots with Matplotlib (using Cartopy) and PyNGL (work in progress).

@@ -669,7 +605,7 @@ Resource Gallery

GeoCAT Gallery

 -

Author: GeoCAT
Affiliation: NCAR

+

Author: GeoCAT
Affiliation: NSF NCAR

A gallery of plotting examples from GeoCat.

@@ -969,7 +905,7 @@ Resource Gallery

MetPy

 -

Author: MetPy developers
Affiliation: Unidata

+

Author: MetPy developers
Affiliation: NSF Unidata

MetPy is a collection of tools in Python for reading, visualizing, and performing calculations with weather data.

@@ -994,7 +930,7 @@ Resource Gallery

MetPy Tutorial

 -

Author: MetPy developers
Affiliation: Unidata

+

Author: MetPy developers
Affiliation: NSF Unidata

This collection of tutorials (under development) demonstrates the use of MetPy to perform common meteorological tasks.

@@ -1010,31 +946,6 @@ Resource Gallery -:::{grid-item-card} -:shadow: md -:class-footer: card-footer -:class-card: tagged-card metpy tutorial - -
- -
-

Unidata Python Workshop- MetPy

 -

Author: Anonymous
Affiliation: Unidata

-

MetPy is a modern meteorological open-source toolkit for Python. It is a maintained project of Unidata to serve the academic meteorological community. MetPy consists of three major areas of functionality: plots, calculations, and file i/o. -

-
-
- - -+++ - -Metpy -Tutorial - -::: - - - :::{grid-item-card} :shadow: md :class-footer: card-footer @@ -1044,7 +955,7 @@ Resource Gallery

MetPy Gallery

 -

Author: MetPy Developers
Affiliation: Unidata

+

Author: MetPy Developers
Affiliation: NSF Unidata

Examples of using a variety of MetPy’s functionality together.

@@ -1060,31 +971,6 @@ Resource Gallery -:::{grid-item-card} -:shadow: md -:class-footer: card-footer -:class-card: tagged-card atmospheric-science gallery - -
- -
-

Unidata Gallery

 -

Author: Anonymous
Affiliation: Unidata

-

Check out detailed examples for atmospheric science and meteorology, from data analysis to publication-quality figures. -

-
-
- - -+++ - -Atmospheric-Science -Gallery - -::: - - - :::{grid-item-card} :shadow: md :class-footer: card-footer @@ -1093,8 +979,8 @@ Resource Gallery
-

Unidata MetPy Mondays

 -

Author: Anonymous
Affiliation: Unidata

+

MetPy Mondays

 +

Author: Anonymous
Affiliation: NSF Unidata

A weekly video series showing how to use MetPy or other Python libraries to solve problems relevant to geoscience applications.

@@ -1159,31 +1045,6 @@ Resource Gallery -:::{grid-item-card} -:shadow: md -:class-footer: card-footer -:class-card: tagged-card numpy tutorial - -
- -
-

Unidata Numpy Workshop

 -

Author: Anonymous
Affiliation: Unidata

-

Unidata Numpy tutorial that covers how to create an array of ‘data’, perform basic calculations on this data using python math functions, and slice and index the array. -

-
-
- - -+++ - -Numpy -Tutorial - -::: - - - :::{grid-item-card} :shadow: md :class-footer: card-footer @@ -1357,7 +1218,7 @@ Resource Gallery

Siphon

 -

Author: Siphon Contributors
Affiliation: Unidata

+

Author: Siphon Contributors
Affiliation: NSF Unidata

Siphon is a collection of Python utilities for downloading data from remote data services. Much of Siphon’s current functionality focuses on access to data hosted on a THREDDS Data Server. It also provides clients to a variety of simple web services.

@@ -1373,31 +1234,6 @@ Resource Gallery -:::{grid-item-card} -:shadow: md -:class-footer: card-footer -:class-card: tagged-card siphon tutorial - -
- -
-

Siphon Tutorial

 -

Author: Anonymous
Affiliation: Unidata

-

An overview on Siphon from the Unidata Python Workshop that: uses Siphon to access a THREDDS catalog, filters data, and uses Siphon to perform remote data access. -

-
-
- - -+++ - -Siphon -Tutorial - -::: - - - :::{grid-item-card} :shadow: md :class-footer: card-footer @@ -1407,7 +1243,7 @@ Resource Gallery

Siphon Gallery

 -

Author: Siphon Contributors
Affiliation: Unidata

+

Author: Siphon Contributors
Affiliation: NSF Unidata

Examples of using Siphon’s functionality.

@@ -1432,7 +1268,7 @@ Resource Gallery

WRF-Python

 -

Author: Anonymous
Affiliation: NCAR

+

Author: Anonymous
Affiliation: NSF NCAR

A collection of diagnostic and interpolation routines for use with output from the Weather Research and Forecasting (WRF-ARW) Model.

@@ -1457,7 +1293,7 @@ Resource Gallery

WRF-Python Gallery

 -

Author: Anonymous
Affiliation: NCAR

+

Author: Anonymous
Affiliation: NSF NCAR

Examples of how wrf-python can be used to make plots with matplotlib (with basemap and cartopy) and PyNGL. None of these examples make use of xarray’s builtin plotting functions, since additional work is most likely needed to extend xarray in order to work correctly.

@@ -1518,31 +1354,6 @@ Xarray is inspired by and borrows heavily from pandas, the popular data analysis -:::{grid-item-card} -:shadow: md -:class-footer: card-footer -:class-card: tagged-card tutorial xarray - -
- -
-

Unidata Xarray Workshop

 -

Author: Anonymous
Affiliation: Unidata

-

An introduction to Xarray through the Unidata Python Workshop that asks, "What is XArray and how does XArray fit in with Numpy and Pandas?"" by creating a DataArray, openning netCDF data using XArray, and subsetting the data. -

-
-
- - -+++ - -Tutorial -Xarray - -::: - - - :::{grid-item-card} :shadow: md :class-footer: card-footer @@ -1551,7 +1362,7 @@ Xarray is inspired by and borrows heavily from pandas, the popular data analysis
-

Xarray Tutorial

 +

Xarray Tutorial

Author: Xarray Developers

A collection of tutorials provided by the Xarray developers.

@@ -1578,7 +1389,7 @@ Xarray is inspired by and borrows heavily from pandas, the popular data analysis

Python Programming for Earth Science Students

 -

Author: Hanna Asefaw, Lisa Tauxe, Brendan Cych
Affiliation: Scripps Institution of Oceanography

+

Author: Hanna Asefaw, Brendan Cych, Lisa Tauxe
Affiliation: Scripps Institution of Oceanography

Python Programming for Earth Science Students

@@ -1771,7 +1582,7 @@ Xarray is inspired by and borrows heavily from pandas, the popular data analysis

Your First Python Tutorial - Reading in a .txt File

 -

Author: Project Pythia, Julia Kent
Affiliation: NCAR

+

Author: Project Pythia, Julia Kent
Affiliation: NSF NCAR

Recording from the Python Tutorial Seminar Series designed to teach you Python, not package specific syntax. This lessons covers setting up a work environment and opening a .txt file. The content to follow along with this video is hosted on the Xdev Python Tutorial website.

@@ -1799,7 +1610,7 @@ Xarray is inspired by and borrows heavily from pandas, the popular data analysis

Your First Python Tutorial - Creating a Data Dictionary

 -

Author: Project Pythia, Julia Kent
Affiliation: NCAR

+

Author: Project Pythia, Julia Kent
Affiliation: NSF NCAR

Recording from the Python Tutorial Seminar Series designed to teach you Python, not package specific syntax. This lessons covers creating a data dictionary. The content to follow along with this video is hosted on the Xdev Python Tutorial website.

@@ -1827,7 +1638,7 @@ Xarray is inspired by and borrows heavily from pandas, the popular data analysis

Your First Python Tutorial - Writing Functions

 -

Author: Project Pythia, Julia Kent
Affiliation: NCAR

+

Author: Project Pythia, Julia Kent
Affiliation: NSF NCAR

Recording from the Python Tutorial Seminar Series designed to teach you Python, not package specific syntax. This lessons covers how to write and call functions in Python. The content to follow along with this video is hosted on the Xdev Python Tutorial website.

@@ -1855,7 +1666,7 @@ Xarray is inspired by and borrows heavily from pandas, the popular data analysis

Your First Python Tutorial - Creating Your Own Package

 -

Author: Project Pythia, Julia Kent
Affiliation: NCAR

+

Author: Project Pythia, Julia Kent
Affiliation: NSF NCAR

Recording from the Python Tutorial Seminar Series designed to teach you Python, not package specific syntax. This lessons covers how to create and call modules and packages. The content to follow along with this video is hosted on the Xdev Python Tutorial website.

@@ -1883,7 +1694,7 @@ Xarray is inspired by and borrows heavily from pandas, the popular data analysis

Your First Python Tutorial - Using a Built-In Package and Publishing Your Package

 -

Author: Project Pythia, Julia Kent
Affiliation: NCAR

+

Author: Project Pythia, Julia Kent
Affiliation: NSF NCAR

Recording from the Python Tutorial Seminar Series designed to teach you Python, not package specific syntax. This lessons covers how to use your first external buil-in package, `math`, and how to publish your package. The content to follow along with this video is hosted on the Xdev Python Tutorial website.

@@ -1911,7 +1722,7 @@ Xarray is inspired by and borrows heavily from pandas, the popular data analysis

Python Tutorial Seminar Series - Jupyter Notebooks

 -

Author: Project Pythia, Kevin Paul
Affiliation: NCAR

+

Author: Project Pythia, Kevin Paul
Affiliation: NSF NCAR

Recording from the Python Tutorial Seminar Series introducing JupyterLab and Jupyter Notebooks.

@@ -1939,7 +1750,7 @@ Xarray is inspired by and borrows heavily from pandas, the popular data analysis

Python Tutorial Seminar Series - Numpy

 -

Author: Project Pythia, A Kootz
Affiliation: NCAR

+

Author: Project Pythia, A Kootz
Affiliation: NSF NCAR

Recording from the Python Tutorial Seminar Series introducing the Python Package `numpy`. The content to follow along with this video is hosted on this Numpy Google Collab.

@@ -1967,7 +1778,7 @@ Xarray is inspired by and borrows heavily from pandas, the popular data analysis

Python Tutorial Seminar Series - Matplotlib

 -

Author: Project Pythia, Anissa Zacharias
Affiliation: NCAR

+

Author: Project Pythia, Anissa Zacharias
Affiliation: NSF NCAR

Recording from the Python Tutorial Seminar Series introducing the Python Package `matplotlib`. The content to follow along with this video is hosted on this Matplotlib Tutorial GitHub Repository.

@@ -1996,7 +1807,7 @@ Xarray is inspired by and borrows heavily from pandas, the popular data analysis

Python Tutorial Seminar Series - Object Oriented Programming

 -

Author: Project Pythia, A Kootz
Affiliation: NCAR

+

Author: Project Pythia, A Kootz
Affiliation: NSF NCAR

Recording from the Python Tutorial Seminar Series introducing Object Oriented Programming. The content to follow along with this video is hosted in this Object Oriented Programming Tutorial GitHub Repository.

@@ -2023,7 +1834,7 @@ Xarray is inspired by and borrows heavily from pandas, the popular data analysis

Python Tutorial Seminar Series - Cartopy

 -

Author: Michaela Sizemore, Project Pythia
Affiliation: NCAR

+

Author: Project Pythia, Michaela Sizemore
Affiliation: NSF NCAR

Recording from the Python Tutorial Seminar Series introducing the Python Package `cartopy`. The content to follow along with this video is hosted in this Cartopy Tutorial GitHub Repository.

@@ -2053,7 +1864,7 @@ Xarray is inspired by and borrows heavily from pandas, the popular data analysis

Python Tutorial Seminar Series - Git and GitHub

 -

Author: Project Pythia, Kevin Paul
Affiliation: NCAR

+

Author: Project Pythia, Kevin Paul
Affiliation: NSF NCAR

Recording from the Python Tutorial Seminar Series introducing the tools Git and GitHub. The content to follow along with this tutorial is hosted in this Git and GitHub Demo GitHub Repository.

@@ -2081,7 +1892,7 @@ Xarray is inspired by and borrows heavily from pandas, the popular data analysis

Python Tutorial Seminar Series - Pandas

 -

Author: Max Grover, Project Pythia, Drew Camron
Affiliation: NCAR

+

Author: Project Pythia, Max Grover, Drew Camron
Affiliation: NSF NCAR

Recording from the Python Tutorial Seminar Series introducing the Python Package `pandas`. The content to follow along with this video is hosted in this Pandas Tutorial GitHub Repository.

@@ -2109,7 +1920,7 @@ Xarray is inspired by and borrows heavily from pandas, the popular data analysis

Python Tutorial Seminar Series - Xarray Part 1

 -

Author: Anderson Banihirwe, Project Pythia
Affiliation: NCAR

+

Author: Project Pythia, Anderson Banihirwe
Affiliation: NSF NCAR

Recording from the Python Tutorial Seminar Series introducing the Python Package `xarray`. This is the first lesson of a two part series. The content to follow along with this video is hosted in this Xarray Tutorial GitHub Repository.

@@ -2137,7 +1948,7 @@ Xarray is inspired by and borrows heavily from pandas, the popular data analysis

Python Tutorial Seminar Series - Xarray Part 2

 -

Author: Anderson Banihirwe, Project Pythia
Affiliation: NCAR

+

Author: Project Pythia, Anderson Banihirwe
Affiliation: NSF NCAR

Recording from the Python Tutorial Seminar Series introducing the Python Package `xarray`. This is the second lesson of a two part series. The content to follow along with this video is hosted in this Xarray Tutorial GitHub Repository.

@@ -2165,7 +1976,7 @@ Xarray is inspired by and borrows heavily from pandas, the popular data analysis

Python Tutorial Seminar Series - Dask Part 1

 -

Author: Anderson Banihirwe, Project Pythia
Affiliation: NCAR

+

Author: Project Pythia, Anderson Banihirwe
Affiliation: NSF NCAR

Recording from the Python Tutorial Seminar Series introducing the Python Package `dask`. This is the first lesson of a two part series. The content to follow along with this video is hosted in this Xarray Tutorial GitHub Repository.

@@ -2193,7 +2004,7 @@ Xarray is inspired by and borrows heavily from pandas, the popular data analysis

Python Tutorial Seminar Series - Dask Part 2

 -

Author: Anderson Banihirwe, Project Pythia
Affiliation: NCAR

+

Author: Project Pythia, Anderson Banihirwe
Affiliation: NSF NCAR

Recording from the Python Tutorial Seminar Series introducing the Python Package `dask`. This is the second lesson of a two part series. The content to follow along with this video is hosted in this Xarray Tutorial GitHub Repository.

@@ -2221,7 +2032,7 @@ Xarray is inspired by and borrows heavily from pandas, the popular data analysis

Python Tutorial Seminar Series - Plotting with GeoCAT

 -

Author: Project Pythia, Anissa Zacharias
Affiliation: NCAR

+

Author: Project Pythia, Anissa Zacharias
Affiliation: NSF NCAR

Recording from the Python Tutorial Seminar Series introducing advanced plotting techniques and highlighting tools developed by GeoCAT. The content to follow along with this video is hosted in this Plotting with GeoCat GitHub Repository.

@@ -2250,7 +2061,7 @@ Xarray is inspired by and borrows heavily from pandas, the popular data analysis

Python Tutorial Seminar Series - GeoCAT-Comp

 -

Author: Project Pythia, A Kootz
Affiliation: NCAR

+

Author: Project Pythia, A Kootz
Affiliation: NSF NCAR

Recording from the Python Tutorial Seminar Series introducing `geocat-comp`. The content to follow along with this video is hosted in this GeoCat-Comp GitHub Repository.

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Presentations about Project Pythia

- Last updated on 9 August 2024. + Last updated on 6 September 2024.

@@ -860,10 +860,10 @@

Presentations about Project Pythia
- NCAR + NSF NCAR
- Unidata + NSF Unidata
UAlbany @@ -913,7 +913,7 @@

Contribute

By the Project Pythia Community. - Last updated on 9 August 2024. + Last updated on 6 September 2024.

diff --git a/_preview/451/blog.html b/_preview/451/blog.html index ebb1feea..620ed646 100644 --- a/_preview/451/blog.html +++ b/_preview/451/blog.html @@ -67,7 +67,7 @@ - +

+ +
+

+ Donate to Support Project Pythia! +

+
    +
  • + + + + 28 June 2023 + +
    • +
    + +
  • + + + + + + + Julia kent + +
    • + +
  • + + + + + + + fundraiser + +
    • + +
    +
+

By donating to support Project Pythia you are investing in an important educational resource for the entire geoscience community, from students to late career. Project Pythia is an education working group helping geoscientists make sense of huge volumes of numerical scientific data using tools that facilitate open, reproducible science, and building an inclusive community of practice around these goals. Project Pythia is a home for Python-centered learning resources that are open-source, community-owned, geoscience-focused, and high-quality.

+

+ +

+ Read more ... +

+
+
@@ -663,7 +710,7 @@

- Last updated on 9 August 2024. + Last updated on 6 September 2024.

@@ -697,10 +744,10 @@

- NCAR + NSF NCAR
- Unidata + NSF Unidata
UAlbany @@ -750,7 +797,7 @@

Contribute

By the Project Pythia Community. - Last updated on 9 August 2024. + Last updated on 6 September 2024.

diff --git a/_preview/451/blog/2023.html b/_preview/451/blog/2023.html index 64af04a3..7678efdd 100644 --- a/_preview/451/blog/2023.html +++ b/_preview/451/blog/2023.html @@ -67,7 +67,7 @@ - +

+ +
+

+ Donate to Support Project Pythia! +

+
    +
  • + + + + 28 June 2023 + +
    • +
    + +
  • + + + + + + + Julia kent + +
    • + +
  • + + + + + + + fundraiser + +
    • + +
    +
+

By donating to support Project Pythia you are investing in an important educational resource for the entire geoscience community, from students to late career. Project Pythia is an education working group helping geoscientists make sense of huge volumes of numerical scientific data using tools that facilitate open, reproducible science, and building an inclusive community of practice around these goals. Project Pythia is a home for Python-centered learning resources that are open-source, community-owned, geoscience-focused, and high-quality.

+

+ +

+ Read more ... +

+
+
@@ -617,7 +664,7 @@

- Last updated on 9 August 2024. + Last updated on 6 September 2024.

@@ -651,10 +698,10 @@

- NCAR + NSF NCAR
- Unidata + NSF Unidata
UAlbany @@ -704,7 +751,7 @@

Contribute

By the Project Pythia Community. - Last updated on 9 August 2024. + Last updated on 6 September 2024.

diff --git a/_preview/451/blog/2024.html b/_preview/451/blog/2024.html index d6744f1d..9f5df54f 100644 --- a/_preview/451/blog/2024.html +++ b/_preview/451/blog/2024.html @@ -67,7 +67,7 @@ - +

- Last updated on 9 August 2024. + Last updated on 6 September 2024.

@@ -603,10 +603,10 @@

- NCAR + NSF NCAR
- Unidata + NSF Unidata
UAlbany @@ -656,7 +656,7 @@

Contribute

By the Project Pythia Community. - Last updated on 9 August 2024. + Last updated on 6 September 2024.

diff --git a/_preview/451/blog/archive.html b/_preview/451/blog/archive.html index ebe74d07..fd6b4b5e 100644 --- a/_preview/451/blog/archive.html +++ b/_preview/451/blog/archive.html @@ -67,7 +67,7 @@ - + @@ -439,6 +439,15 @@

+
+

+ + 28 June 2023 + - + Donate to Support Project Pythia! +

+
+

@@ -551,7 +560,7 @@

- Last updated on 9 August 2024. + Last updated on 6 September 2024.

@@ -585,10 +594,10 @@

- NCAR + NSF NCAR
- Unidata + NSF Unidata
UAlbany @@ -638,7 +647,7 @@

Contribute

By the Project Pythia Community. - Last updated on 9 August 2024. + Last updated on 6 September 2024.

diff --git a/_preview/451/blog/author.html b/_preview/451/blog/author.html index cba8683d..50098b22 100644 --- a/_preview/451/blog/author.html +++ b/_preview/451/blog/author.html @@ -67,7 +67,7 @@ - + @@ -449,6 +449,15 @@

+
+

+ + 28 June 2023 + - + Donate to Support Project Pythia! +

+
+ @@ -561,7 +570,7 @@

- Last updated on 9 August 2024. + Last updated on 6 September 2024.

@@ -595,10 +604,10 @@

- NCAR + NSF NCAR
- Unidata + NSF Unidata
UAlbany @@ -648,7 +657,7 @@

Contribute

By the Project Pythia Community. - Last updated on 9 August 2024. + Last updated on 6 September 2024.

diff --git a/_preview/451/blog/author/brian-rose.html b/_preview/451/blog/author/brian-rose.html index e38383a1..a9b474c0 100644 --- a/_preview/451/blog/author/brian-rose.html +++ b/_preview/451/blog/author/brian-rose.html @@ -67,7 +67,7 @@ - +

- Last updated on 9 August 2024. + Last updated on 6 September 2024.

@@ -603,10 +603,10 @@

- NCAR + NSF NCAR
- Unidata + NSF Unidata
UAlbany @@ -656,7 +656,7 @@

Contribute

By the Project Pythia Community. - Last updated on 9 August 2024. + Last updated on 6 September 2024.

diff --git a/_preview/451/blog/author/john-clyne.html b/_preview/451/blog/author/john-clyne.html index 2ca72270..75efe9c6 100644 --- a/_preview/451/blog/author/john-clyne.html +++ b/_preview/451/blog/author/john-clyne.html @@ -67,7 +67,7 @@ - +

- Last updated on 9 August 2024. + Last updated on 6 September 2024.

@@ -604,10 +604,10 @@

- NCAR + NSF NCAR
- Unidata + NSF Unidata
UAlbany @@ -657,7 +657,7 @@

Contribute

By the Project Pythia Community. - Last updated on 9 August 2024. + Last updated on 6 September 2024.

diff --git a/_preview/451/blog/author/julia-kent.html b/_preview/451/blog/author/julia-kent.html index 9c7dac4e..edb4fc26 100644 --- a/_preview/451/blog/author/julia-kent.html +++ b/_preview/451/blog/author/julia-kent.html @@ -67,7 +67,7 @@ - +

+ +
+

+ Donate to Support Project Pythia! +

+
    +
  • + + + + 28 June 2023 + +
    • +
    + +
  • + + + + + + + Julia kent + +
    • + +
  • + + + + + + + fundraiser + +
    • + +
    +
+

By donating to support Project Pythia you are investing in an important educational resource for the entire geoscience community, from students to late career. Project Pythia is an education working group helping geoscientists make sense of huge volumes of numerical scientific data using tools that facilitate open, reproducible science, and building an inclusive community of practice around these goals. Project Pythia is a home for Python-centered learning resources that are open-source, community-owned, geoscience-focused, and high-quality.

+

+ +

+ Read more ... +

+
+

@@ -568,7 +615,7 @@

- Last updated on 9 August 2024. + Last updated on 6 September 2024.

@@ -602,10 +649,10 @@

- NCAR + NSF NCAR
- Unidata + NSF Unidata
UAlbany @@ -655,7 +702,7 @@

Contribute

By the Project Pythia Community. - Last updated on 9 August 2024. + Last updated on 6 September 2024.

diff --git a/_preview/451/blog/drafts.html b/_preview/451/blog/drafts.html index 255e6490..21e5201f 100644 --- a/_preview/451/blog/drafts.html +++ b/_preview/451/blog/drafts.html @@ -67,7 +67,7 @@ - + @@ -514,7 +514,7 @@

- Last updated on 9 August 2024. + Last updated on 6 September 2024.

@@ -548,10 +548,10 @@

- NCAR + NSF NCAR
- Unidata + NSF Unidata
UAlbany @@ -601,7 +601,7 @@

Contribute

By the Project Pythia Community. - Last updated on 9 August 2024. + Last updated on 6 September 2024.

diff --git a/_preview/451/blog/tag.html b/_preview/451/blog/tag.html index ffa40368..89a277d1 100644 --- a/_preview/451/blog/tag.html +++ b/_preview/451/blog/tag.html @@ -67,7 +67,7 @@ - + @@ -429,6 +429,25 @@

+

+ +
+

+ Posts tagged + fundraiser + +

+ +
+

+ + 28 June 2023 + - + Donate to Support Project Pythia! +

+
+
@@ -541,7 +560,7 @@

- Last updated on 9 August 2024. + Last updated on 6 September 2024.

@@ -575,10 +594,10 @@

- NCAR + NSF NCAR
- Unidata + NSF Unidata
UAlbany @@ -628,7 +647,7 @@

Contribute

By the Project Pythia Community. - Last updated on 9 August 2024. + Last updated on 6 September 2024.

diff --git a/_preview/451/blog/tag/cook-off.html b/_preview/451/blog/tag/cook-off.html index 0c41a1b7..0b887fb5 100644 --- a/_preview/451/blog/tag/cook-off.html +++ b/_preview/451/blog/tag/cook-off.html @@ -67,7 +67,7 @@ - +

- Last updated on 9 August 2024. + Last updated on 6 September 2024.

@@ -699,10 +699,10 @@

- NCAR + NSF NCAR
- Unidata + NSF Unidata
UAlbany @@ -752,7 +752,7 @@

Contribute

By the Project Pythia Community. - Last updated on 9 August 2024. + Last updated on 6 September 2024.

diff --git a/_preview/451/blog/tag/fundraiser.html b/_preview/451/blog/tag/fundraiser.html new file mode 100644 index 00000000..59a62efd --- /dev/null +++ b/_preview/451/blog/tag/fundraiser.html @@ -0,0 +1,685 @@ + + + + + + + + + + Posts tagged fundraiser + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ +
+
+ + + + + +
+ + + +
+ + +
+ + + +
+ + +
+ + + +
+ +
+ +
+ +
+ +
+
+
+ + + Ctrl+K +
+
+
+ + +
+
+ + + + +
+ + +
+ + +
+ +
+ + + + + +
+ +
+

+ + Posts tagged fundraiser + +

+ +
+

+ Donate to Support Project Pythia! +

+
    +
  • + + + + 28 June 2023 + +
    • +
    + +
  • + + + + + + + Julia kent + +
    • + +
  • + + + + + + + fundraiser + +
    • + +
    +
+

By donating to support Project Pythia you are investing in an important educational resource for the entire geoscience community, from students to late career. Project Pythia is an education working group helping geoscientists make sense of huge volumes of numerical scientific data using tools that facilitate open, reproducible science, and building an inclusive community of practice around these goals. Project Pythia is a home for Python-centered learning resources that are open-source, community-owned, geoscience-focused, and high-quality.

+

+ +

+ Read more ... +

+
+
+ +
+ +
+ + + + + + +
+ +
+
+
+ +
+ + + + + + + + +
+
+ +
+ +
+ +
+ + +
+ +
+ +
+ + + + + + + + + + + + +
+ +
+ +
+
+
+ +
+ +
+ +
+ +

+By the Project Pythia Community +

+ +
+ +
+ + +

+ + © Copyright 2024. +
+ +

+ +
+ +
+

+ Last updated on 6 September 2024. +
+

+
+ +
+ +
+ +
+
+ +
+
+
+ + + + + + + + \ No newline at end of file diff --git a/_preview/451/code_of_conduct.html b/_preview/451/code_of_conduct.html index cd93f395..8319c781 100644 --- a/_preview/451/code_of_conduct.html +++ b/_preview/451/code_of_conduct.html @@ -70,7 +70,7 @@ - + @@ -661,7 +661,7 @@

Attribution

- Last updated on 9 August 2024. + Last updated on 6 September 2024.

@@ -695,10 +695,10 @@

Attribution
- NCAR + NSF NCAR
- Unidata + NSF Unidata
UAlbany @@ -748,7 +748,7 @@

Contribute

By the Project Pythia Community. - Last updated on 9 August 2024. + Last updated on 6 September 2024.

diff --git a/_preview/451/contributing.html b/_preview/451/contributing.html index 5034bc3f..06bf2b02 100644 --- a/_preview/451/contributing.html +++ b/_preview/451/contributing.html @@ -70,7 +70,7 @@ - + @@ -1068,7 +1068,7 @@

Make the PR

- Last updated on 9 August 2024. + Last updated on 6 September 2024.

@@ -1102,10 +1102,10 @@

Make the PR
- NCAR + NSF NCAR
- Unidata + NSF Unidata
UAlbany @@ -1155,7 +1155,7 @@

Contribute

By the Project Pythia Community. - Last updated on 9 August 2024. + Last updated on 6 September 2024.

diff --git a/_preview/451/cookbook-guide.html b/_preview/451/cookbook-guide.html index 667929cc..736a53f5 100644 --- a/_preview/451/cookbook-guide.html +++ b/_preview/451/cookbook-guide.html @@ -70,7 +70,7 @@ - + @@ -655,10 +655,13 @@

Generate a DOI

Initiate the Cookbook review process

-

Your Cookbook will be assigned a Cookbook advocate from the Project Pythia maintenance team. +

If you haven’t already, now is a great time to contact the Project Pythia team to let them know about your new Cookbook. You will be assigned a Cookbook advocate from the Pythia maintenance team. They will open an issue on your Cookbook repository with the Cookbook Checklist for you to document your completion of the above process, plus a few more GitHub-specific steps. -Once you complete this process, your Cookbook will be ready for review and publication! -Click the button below to request addition of your Cookbook to the Project Pythia Cookbook Gallery.

+Once you complete this process, your Cookbook will be ready for review and publication!

+ +

@@ -937,10 +941,10 @@

Initiate the Cookbook review process
- NCAR + NSF NCAR
- Unidata + NSF Unidata
UAlbany @@ -990,7 +994,7 @@

Contribute

By the Project Pythia Community. - Last updated on 9 August 2024. + Last updated on 6 September 2024.

diff --git a/_preview/451/cookbook-tasklist.html b/_preview/451/cookbook-tasklist.html index c4a7422e..b7719455 100644 --- a/_preview/451/cookbook-tasklist.html +++ b/_preview/451/cookbook-tasklist.html @@ -70,7 +70,7 @@ - + @@ -403,7 +403,7 @@

Cookbook Author Checklist Template- [ ] **Confirm you’ve followed the entire Project Pythia [Cookbook Guide](https://projectpythia.org/cookbook-guide.html)**. -Take note especially of the **Develop your cookbook**, **Authorship and the CITATION.cff file**, **Gallery tags**, and **Generate a DOI** sections. **Save the step of making a “release” of your cookbook as the last step of this checklist.** +Take note especially of the [Develop your cookbook](https://projectpythia.org/cookbook-guide.html#develop-your-cookbook), [Authorship and the CITATION.cff file](https://projectpythia.org/cookbook-guide.html#authorship-and-the-citation-cff-file), and [Gallery tags](https://projectpythia.org/cookbook-guide.html#gallery-tags) sections. **Save the [Generate a DOI](https://projectpythia.org/cookbook-guide.html#generate-a-doi) step as the last step of this checklist.** - [ ] **Confirm that the individual notebooks within your Cookbook adhere to the [notebook template](https://github.com/ProjectPythia/cookbook-template/blob/main/notebooks/notebook-template.ipynb)**. If the template does not fit your Cookbook’s needs, that’s fine too! Simply let us know here in this issue. - [ ] **Finalize your Cookbook repository name.** @@ -434,7 +434,7 @@

Cookbook Author Checklist Template - trigger-link-check will fail if links in your content can not be resolved. We can help ignore links that are broken even if they work on manual clicks. - Code errors in your notebooks themselves - [ ] **Identify a Maintainer team via GitHub handle(s) in this thread.** -This can be one or more people with availability to check in on this Cookbook, issue fixes to broken content, or with a vision for the future development of the Cookbook. +This can be one or more people with availability to check in on this Cookbook, issue fixes to broken content, or with a vision for the future development of the Cookbook. This is typically (but not necessarily) one of the primary authors of the Cookbook. - [ ] **Finally, release your Cookbook!** - On the right-hand sidebar for your Cookbook repository, click “Create a new release”. If you don’t see this button, you may need to click on the “Releases” header first and “Create” or “Draft” a new release. ![GitHub Repository sidebar section titled "Releases"](https://raw.githubusercontent.com/ProjectPythia/projectpythia.github.io/main/portal/_static/images/4-releases.png "Releases") @@ -626,7 +626,7 @@

Cookbook Author Checklist Template

- Last updated on 9 August 2024. + Last updated on 6 September 2024.

@@ -660,10 +660,10 @@

Cookbook Author Checklist Template
- NCAR + NSF NCAR
- Unidata + NSF Unidata
UAlbany @@ -713,7 +713,7 @@

Contribute

By the Project Pythia Community. - Last updated on 9 August 2024. + Last updated on 6 September 2024.

diff --git a/_preview/451/genindex.html b/_preview/451/genindex.html index affe8693..1819587d 100644 --- a/_preview/451/genindex.html +++ b/_preview/451/genindex.html @@ -67,7 +67,7 @@ - + @@ -512,7 +512,7 @@

Index

- Last updated on 9 August 2024. + Last updated on 6 September 2024.

@@ -546,10 +546,10 @@

Index

- NCAR + NSF NCAR
- Unidata + NSF Unidata
UAlbany @@ -599,7 +599,7 @@

Contribute

By the Project Pythia Community. - Last updated on 9 August 2024. + Last updated on 6 September 2024.

diff --git a/_preview/451/index.html b/_preview/451/index.html index 22c76eec..4e637199 100644 --- a/_preview/451/index.html +++ b/_preview/451/index.html @@ -69,7 +69,7 @@ - + @@ -233,9 +233,8 @@

Project Pythia

An education and training hub for the geoscientific Python community

- - Project Pythia is hosting a Cookbook Cook-Off June 11-14, 2024.
- Learn more here. + + Donate to support Project Pythia!

Project Pythia is the education working group for Pangeo and is an educational resource for the entire geoscience community. @@ -453,10 +452,10 @@

Meeting & Event Calendar
- NCAR + NSF NCAR
- Unidata + NSF Unidata
UAlbany @@ -506,7 +505,7 @@

Contribute

By the Project Pythia Community. - Last updated on 9 August 2024. + Last updated on 6 September 2024.

diff --git a/_preview/451/metrics.html b/_preview/451/metrics.html index 17e29838..758b2bb3 100644 --- a/_preview/451/metrics.html +++ b/_preview/451/metrics.html @@ -69,7 +69,7 @@ - + @@ -568,7 +568,7 @@

Metrics

- Last updated on 9 August 2024. + Last updated on 6 September 2024.

@@ -602,10 +602,10 @@

Metrics
- NCAR + NSF NCAR
- Unidata + NSF Unidata
UAlbany @@ -655,7 +655,7 @@

Contribute

By the Project Pythia Community. - Last updated on 9 August 2024. + Last updated on 6 September 2024.

diff --git a/_preview/451/objects.inv b/_preview/451/objects.inv index 578d2ccb9eaa8d92353217708a5da00bcf97eb40..e2fec5dcf1012338a28a22b15db5676ec0f2398a 100644 GIT binary patch delta 467 zcmV;^0WAKX1jYoAeScF+Zrd;r-Rl$#+O3-Js=G7+(kzMwb%8DeiX2IdX^p^78}D+B zT(2kTP?Ta)cI_k!f#S^jjL0Wmp?AzW`B|c12p-BAB8C7|wx_>4oZ|aem&lLnB0L|a0 zXUlH9l0b5}tmrA5u+0V2&NNJ{9TIcgF1505r{2_@NnU!_qG4Aph{*j3t6p;#WwEZ$ zPR`B;LCq`BL9$2d>~Yc_BtLxIeDce<oP0VK;ED1@Y58w(El6_Q?~*~^ z=6JzMwjeSiHh;S&`cXE*AE>N4Y(K&#>t7>FS*8_f*K~?OfAAaTAR=q0If~kM(r{(L z>@wPPC;e;e!kIW^3*Yx>=7~Ql8t7Cf;W5{ns_~w0!)vjDjj2cwv;SxXlrUja@K}oQ zZ*fzsQ0_4A*X7h0;V8X^ag43tq%ONt_3BLRjmtit?Mz&~KUMz?&He$>WW708^ZaaE z&9e21WF^;l;C=&xjw8Ef0~WmzP&Qm^Fza-pc`vH`7_00iRtpQ^JR1=8rKvOHe3C=V$X6^n_N|7oC9;(Cn%PZ8fUB0bZ|bn zYz!q$Kw8VC(ng(Wc|rM?PBgjnvz?}78G+zV(FgqFxK=HOb#3qcc%o@!xD!i zCNmThRFfN&AAbccyg{PH{`i*GML)MHp@|geo#J1#{!L!f2MS5v^$}%Iiju>77}KF{ zDtGoZTGQGYdW_!I7l8Y~v`=m!N56NMs8D=M_;M9@g_f>(Eun2=W6XZa_8s{12J9T} zuAI#+`2P<4I^x|8_

@@ -617,10 +624,10 @@

Pythia Cookbook Cook-Off Hackathon 2023
- NCAR + NSF NCAR
- Unidata + NSF Unidata
UAlbany @@ -670,7 +677,7 @@

Contribute

By the Project Pythia Community. - Last updated on 9 August 2024. + Last updated on 6 September 2024.

diff --git a/_preview/451/posts/cookoff2024-savethedate.html b/_preview/451/posts/cookoff2024-savethedate.html index 3fc9ffaf..8a8bf707 100644 --- a/_preview/451/posts/cookoff2024-savethedate.html +++ b/_preview/451/posts/cookoff2024-savethedate.html @@ -68,7 +68,7 @@ - + @@ -587,7 +587,7 @@

Pythia Cookbook Cook-Off Hackathon 2024 - Save the Date!

- Last updated on 9 August 2024. + Last updated on 6 September 2024.

@@ -621,10 +621,10 @@

Pythia Cookbook Cook-Off Hackathon 2024 - Save the Date!
- NCAR + NSF NCAR
- Unidata + NSF Unidata
UAlbany @@ -674,7 +674,7 @@

Contribute

By the Project Pythia Community. - Last updated on 9 August 2024. + Last updated on 6 September 2024.

diff --git a/_preview/451/posts/cookoff2024-website.html b/_preview/451/posts/cookoff2024-website.html index 21b8837e..a0fa5927 100644 --- a/_preview/451/posts/cookoff2024-website.html +++ b/_preview/451/posts/cookoff2024-website.html @@ -68,7 +68,7 @@ - + @@ -580,7 +580,7 @@

Website is live for the 2024 Cook-off hackathon

- Last updated on 9 August 2024. + Last updated on 6 September 2024.

@@ -614,10 +614,10 @@

Website is live for the 2024 Cook-off hackathon
- NCAR + NSF NCAR
- Unidata + NSF Unidata
UAlbany @@ -667,7 +667,7 @@

Contribute

By the Project Pythia Community. - Last updated on 9 August 2024. + Last updated on 6 September 2024.

diff --git a/_preview/451/posts/fundraiser.html b/_preview/451/posts/fundraiser.html new file mode 100644 index 00000000..04465260 --- /dev/null +++ b/_preview/451/posts/fundraiser.html @@ -0,0 +1,744 @@ + + + + + + + + + + + Donate to Support Project Pythia! + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
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+By the Project Pythia Community +

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+ Last updated on 6 September 2024. +
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+ + + + + + + + \ No newline at end of file diff --git a/_preview/451/resource-gallery.html b/_preview/451/resource-gallery.html index 8ff055ac..0f0b071b 100644 --- a/_preview/451/resource-gallery.html +++ b/_preview/451/resource-gallery.html @@ -70,7 +70,7 @@ - + @@ -240,7 +240,7 @@

Resource Galleryaffiliation
    -
    • +
@@ -283,7 +283,7 @@

Resource Gallery

Your First Python Tutorial

 -

Author: Xdev Team
Affiliation: NCAR

+

Author: Xdev Team
Affiliation: NSF NCAR

A tutorial for getting started with Python aimed at scientists with experience in at least one other coding language. Designed to teach you Python, not package specific syntax.

@@ -298,64 +298,13 @@

Resource Gallery -
-
-
- -
-

Unidata Python Training

 -

Author: Anonymous
Affiliation: Unidata

-

Introduction to Python for Atmospheric Science and Meteorology. Unidata is working to create a collection of online training materials focused on the use of Python in the atmospheric sciences. While our examples and scenarios may feature Unidata tools and data technologies, our aim is to present a generic ... more

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-
-
- -

Unidata Python Training

-Author: Anonymous -
-Affiliation: Unidata -

Introduction to Python for Atmospheric Science and Meteorology. Unidata is working to create a collection of online training materials focused on the use of Python in the atmospheric sciences. While our examples and scenarios may feature Unidata tools and data technologies, our aim is to present a generic set of freely available tools that are generally useful to scientists, educators, and students in the geosciences, broadly defined. -

-

Course -Unidata

-

Visit Website

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Course -Unidata

-
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Unidata Python Workshop - Jupyter Notebooks Introduction

 -

Author: Anonymous
Affiliation: Unidata

-

Jupyter notebooks are a great way to have code, output, images, video, and other information in one place. Notebooks are an ideal tool for the student, research scientist, and even software developer. In this lesson we will go over the basic features of Jupyter notebooks and how to use them. -

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Jupyter -Unidata

-
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An Introduction to Earth and Environmental Data Science

 -

Author: Ryan Abernathey, Kerry Key
Affiliation: Lamont-Doherty Earth Observatory

+

Author: Kerry Key, Ryan Abernathey
Affiliation: Lamont-Doherty Earth Observatory

This book grew out of a course developed at Columbia University called Research Computing in Earth Science. It was written mostly by Ryan Abernathey, with significant contributions from Kerry Key. By separating the book from the class, we hope to create an open-source community resource for python education ... more

@@ -363,7 +312,7 @@

Unidata Python Training

An Introduction to Earth and Environmental Data Science

-Author: Ryan Abernathey, Kerry Key +Author: Kerry Key, Ryan Abernathey
Affiliation: Lamont-Doherty Earth Observatory

This book grew out of a course developed at Columbia University called Research Computing in Earth Science. It was written mostly by Ryan Abernathey, with significant contributions from Kerry Key. By separating the book from the class, we hope to create an open-source community resource for python education in the Earth and Environmental Sciences. @@ -734,7 +683,7 @@

Contextily Tutorial

GeoCAT Tutorial

 -

Author: GeoCat
Affiliation: NCAR

+

Author: GeoCat
Affiliation: NSF NCAR

The examples below show GeoCAT-comp functions being utilized in real-world use cases. They also demonstrate how GeoCAT-comp can be used to make plots with Matplotlib (using Cartopy) and PyNGL (work in progress).

@@ -753,7 +702,7 @@

Contextily Tutorial

GeoCAT Gallery

 -

Author: GeoCAT
Affiliation: NCAR

+

Author: GeoCAT
Affiliation: NSF NCAR

A gallery of plotting examples from GeoCat.

@@ -987,7 +936,7 @@

hvPlot Tutorial

MetPy

 -

Author: MetPy developers
Affiliation: Unidata

+

Author: MetPy developers
Affiliation: NSF Unidata

MetPy is a collection of tools in Python for reading, visualizing, and performing calculations with weather data.

@@ -1006,7 +955,7 @@

hvPlot Tutorial

MetPy Tutorial

 -

Author: MetPy developers
Affiliation: Unidata

+

Author: MetPy developers
Affiliation: NSF Unidata

This collection of tutorials (under development) demonstrates the use of MetPy to perform common meteorological tasks.

@@ -1019,32 +968,13 @@

hvPlot Tutorial

-
-
-
- -
-

Unidata Python Workshop- MetPy

 -

Author: Anonymous
Affiliation: Unidata

-

MetPy is a modern meteorological open-source toolkit for Python. It is a maintained project of Unidata to serve the academic meteorological community. MetPy consists of three major areas of functionality: plots, calculations, and file i/o. -

-
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Metpy -Tutorial

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MetPy Gallery

 -

Author: MetPy Developers
Affiliation: Unidata

+

Author: MetPy Developers
Affiliation: NSF Unidata

Examples of using a variety of MetPy’s functionality together.

@@ -1057,32 +987,13 @@

hvPlot Tutorial

-
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- -
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Unidata Gallery

 -

Author: Anonymous
Affiliation: Unidata

-

Check out detailed examples for atmospheric science and meteorology, from data analysis to publication-quality figures. -

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Atmospheric-Science -Gallery

-
-
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-

Unidata MetPy Mondays

 -

Author: Anonymous
Affiliation: Unidata

+

MetPy Mondays

 +

Author: Anonymous
Affiliation: NSF Unidata

A weekly video series showing how to use MetPy or other Python libraries to solve problems relevant to geoscience applications.

@@ -1132,25 +1043,6 @@

hvPlot Tutorial

-
-
-
- -
-

Unidata Numpy Workshop

 -

Author: Anonymous
Affiliation: Unidata

-

Unidata Numpy tutorial that covers how to create an array of ‘data’, perform basic calculations on this data using python math functions, and slice and index the array. -

-
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Numpy -Tutorial

-
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@@ -1284,7 +1176,7 @@

Intro to Numerical Computing with NumPy

Siphon

 -

Author: Siphon Contributors
Affiliation: Unidata

+

Author: Siphon Contributors
Affiliation: NSF Unidata

Siphon is a collection of Python utilities for downloading data from remote data services. Much of Siphon’s current functionality focuses on access to data hosted on a THREDDS Data Server. It also provides clients to a variety of simple web services.

@@ -1297,32 +1189,13 @@

Intro to Numerical Computing with NumPy

-
-
-
- -
-

Siphon Tutorial

 -

Author: Anonymous
Affiliation: Unidata

-

An overview on Siphon from the Unidata Python Workshop that: uses Siphon to access a THREDDS catalog, filters data, and uses Siphon to perform remote data access. -

-
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-
-
-

Siphon -Tutorial

-
-
-
-

Siphon Gallery

 -

Author: Siphon Contributors
Affiliation: Unidata

+

Author: Siphon Contributors
Affiliation: NSF Unidata

Examples of using Siphon’s functionality.

@@ -1341,7 +1214,7 @@

Intro to Numerical Computing with NumPy

WRF-Python

 -

Author: Anonymous
Affiliation: NCAR

+

Author: Anonymous
Affiliation: NSF NCAR

A collection of diagnostic and interpolation routines for use with output from the Weather Research and Forecasting (WRF-ARW) Model.

@@ -1360,7 +1233,7 @@

Intro to Numerical Computing with NumPy

WRF-Python Gallery

 -

Author: Anonymous
Affiliation: NCAR

+

Author: Anonymous
Affiliation: NSF NCAR

Examples of how wrf-python can be used to make plots with matplotlib (with basemap and cartopy) and PyNGL. None of these examples make use of xarray’s builtin plotting functions, since additional work is most likely needed to extend xarray in order to work correctly.

@@ -1407,31 +1280,12 @@

Xarray

-
-
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- -
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Unidata Xarray Workshop

 -

Author: Anonymous
Affiliation: Unidata

-

An introduction to Xarray through the Unidata Python Workshop that asks, "What is XArray and how does XArray fit in with Numpy and Pandas?"" by creating a DataArray, openning netCDF data using XArray, and subsetting the data. -

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Tutorial -Xarray

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Xarray Tutorial

 +

Xarray Tutorial

Author: Xarray Developers

A collection of tutorials provided by the Xarray developers.

@@ -1452,7 +1306,7 @@

Xarray

Python Programming for Earth Science Students

 -

Author: Hanna Asefaw, Lisa Tauxe, Brendan Cych
Affiliation: Scripps Institution of Oceanography

+

Author: Hanna Asefaw, Brendan Cych, Lisa Tauxe
Affiliation: Scripps Institution of Oceanography

Python Programming for Earth Science Students

@@ -1614,7 +1468,7 @@

Python for Atmosphere and Ocean Science

Your First Python Tutorial - Reading in a .txt File

 -

Author: Project Pythia, Julia Kent
Affiliation: NCAR

+

Author: Project Pythia, Julia Kent
Affiliation: NSF NCAR

Recording from the Python Tutorial Seminar Series designed to teach you Python, not package specific syntax. This lessons covers setting up a work environment and opening a .txt file. The content to follow along with this video is hosted on the Xdev Python Tutorial website.

@@ -1636,7 +1490,7 @@

Python for Atmosphere and Ocean Science

Your First Python Tutorial - Creating a Data Dictionary

 -

Author: Project Pythia, Julia Kent
Affiliation: NCAR

+

Author: Project Pythia, Julia Kent
Affiliation: NSF NCAR

Recording from the Python Tutorial Seminar Series designed to teach you Python, not package specific syntax. This lessons covers creating a data dictionary. The content to follow along with this video is hosted on the Xdev Python Tutorial website.

@@ -1658,7 +1512,7 @@

Python for Atmosphere and Ocean Science

Your First Python Tutorial - Writing Functions

 -

Author: Project Pythia, Julia Kent
Affiliation: NCAR

+

Author: Project Pythia, Julia Kent
Affiliation: NSF NCAR

Recording from the Python Tutorial Seminar Series designed to teach you Python, not package specific syntax. This lessons covers how to write and call functions in Python. The content to follow along with this video is hosted on the Xdev Python Tutorial website.

@@ -1680,7 +1534,7 @@

Python for Atmosphere and Ocean Science

Your First Python Tutorial - Creating Your Own Package

 -

Author: Project Pythia, Julia Kent
Affiliation: NCAR

+

Author: Project Pythia, Julia Kent
Affiliation: NSF NCAR

Recording from the Python Tutorial Seminar Series designed to teach you Python, not package specific syntax. This lessons covers how to create and call modules and packages. The content to follow along with this video is hosted on the Xdev Python Tutorial website.

@@ -1702,7 +1556,7 @@

Python for Atmosphere and Ocean Science

Your First Python Tutorial - Using a Built-In Package and Publishing Your Package

 -

Author: Project Pythia, Julia Kent
Affiliation: NCAR

+

Author: Project Pythia, Julia Kent
Affiliation: NSF NCAR

Recording from the Python Tutorial Seminar Series designed to teach you Python, not package specific syntax. This lessons covers how to use your first external buil-in package, `math`, and how to publish your package. The content to follow along with this video is hosted on the Xdev Python Tutorial website.

@@ -1724,7 +1578,7 @@

Python for Atmosphere and Ocean Science

Python Tutorial Seminar Series - Jupyter Notebooks

 -

Author: Project Pythia, Kevin Paul
Affiliation: NCAR

+

Author: Project Pythia, Kevin Paul
Affiliation: NSF NCAR

Recording from the Python Tutorial Seminar Series introducing JupyterLab and Jupyter Notebooks.

@@ -1746,7 +1600,7 @@

Python for Atmosphere and Ocean Science

Python Tutorial Seminar Series - Numpy

 -

Author: Project Pythia, A Kootz
Affiliation: NCAR

+

Author: Project Pythia, A Kootz
Affiliation: NSF NCAR

Recording from the Python Tutorial Seminar Series introducing the Python Package `numpy`. The content to follow along with this video is hosted on this Numpy Google Collab.

@@ -1768,7 +1622,7 @@

Python for Atmosphere and Ocean Science

Python Tutorial Seminar Series - Matplotlib

 -

Author: Project Pythia, Anissa Zacharias
Affiliation: NCAR

+

Author: Project Pythia, Anissa Zacharias
Affiliation: NSF NCAR

Recording from the Python Tutorial Seminar Series introducing the Python Package `matplotlib`. The content to follow along with this video is hosted on this Matplotlib Tutorial GitHub Repository.

@@ -1791,7 +1645,7 @@

Python for Atmosphere and Ocean Science

Python Tutorial Seminar Series - Object Oriented Programming

 -

Author: Project Pythia, A Kootz
Affiliation: NCAR

+

Author: Project Pythia, A Kootz
Affiliation: NSF NCAR

Recording from the Python Tutorial Seminar Series introducing Object Oriented Programming. The content to follow along with this video is hosted in this Object Oriented Programming Tutorial GitHub Repository.

@@ -1812,7 +1666,7 @@

Python for Atmosphere and Ocean Science

Python Tutorial Seminar Series - Cartopy

 -

Author: Michaela Sizemore, Project Pythia
Affiliation: NCAR

+

Author: Project Pythia, Michaela Sizemore
Affiliation: NSF NCAR

Recording from the Python Tutorial Seminar Series introducing the Python Package `cartopy`. The content to follow along with this video is hosted in this Cartopy Tutorial GitHub Repository.

@@ -1836,7 +1690,7 @@

Python for Atmosphere and Ocean Science

Python Tutorial Seminar Series - Git and GitHub

 -

Author: Project Pythia, Kevin Paul
Affiliation: NCAR

+

Author: Project Pythia, Kevin Paul
Affiliation: NSF NCAR

Recording from the Python Tutorial Seminar Series introducing the tools Git and GitHub. The content to follow along with this tutorial is hosted in this Git and GitHub Demo GitHub Repository.

@@ -1858,7 +1712,7 @@

Python for Atmosphere and Ocean Science

Python Tutorial Seminar Series - Pandas

 -

Author: Max Grover, Project Pythia, Drew Camron
Affiliation: NCAR

+

Author: Project Pythia, Max Grover, Drew Camron
Affiliation: NSF NCAR

Recording from the Python Tutorial Seminar Series introducing the Python Package `pandas`. The content to follow along with this video is hosted in this Pandas Tutorial GitHub Repository.

@@ -1880,7 +1734,7 @@

Python for Atmosphere and Ocean Science

Python Tutorial Seminar Series - Xarray Part 1

 -

Author: Anderson Banihirwe, Project Pythia
Affiliation: NCAR

+

Author: Project Pythia, Anderson Banihirwe
Affiliation: NSF NCAR

Recording from the Python Tutorial Seminar Series introducing the Python Package `xarray`. This is the first lesson of a two part series. The content to follow along with this video is hosted in this Xarray Tutorial GitHub Repository.

@@ -1902,7 +1756,7 @@

Python for Atmosphere and Ocean Science

Python Tutorial Seminar Series - Xarray Part 2

 -

Author: Anderson Banihirwe, Project Pythia
Affiliation: NCAR

+

Author: Project Pythia, Anderson Banihirwe
Affiliation: NSF NCAR

Recording from the Python Tutorial Seminar Series introducing the Python Package `xarray`. This is the second lesson of a two part series. The content to follow along with this video is hosted in this Xarray Tutorial GitHub Repository.

@@ -1924,7 +1778,7 @@

Python for Atmosphere and Ocean Science

Python Tutorial Seminar Series - Dask Part 1

 -

Author: Anderson Banihirwe, Project Pythia
Affiliation: NCAR

+

Author: Project Pythia, Anderson Banihirwe
Affiliation: NSF NCAR

Recording from the Python Tutorial Seminar Series introducing the Python Package `dask`. This is the first lesson of a two part series. The content to follow along with this video is hosted in this Xarray Tutorial GitHub Repository.

@@ -1946,7 +1800,7 @@

Python for Atmosphere and Ocean Science

Python Tutorial Seminar Series - Dask Part 2

 -

Author: Anderson Banihirwe, Project Pythia
Affiliation: NCAR

+

Author: Project Pythia, Anderson Banihirwe
Affiliation: NSF NCAR

Recording from the Python Tutorial Seminar Series introducing the Python Package `dask`. This is the second lesson of a two part series. The content to follow along with this video is hosted in this Xarray Tutorial GitHub Repository.

@@ -1968,7 +1822,7 @@

Python for Atmosphere and Ocean Science

Python Tutorial Seminar Series - Plotting with GeoCAT

 -

Author: Project Pythia, Anissa Zacharias
Affiliation: NCAR

+

Author: Project Pythia, Anissa Zacharias
Affiliation: NSF NCAR

Recording from the Python Tutorial Seminar Series introducing advanced plotting techniques and highlighting tools developed by GeoCAT. The content to follow along with this video is hosted in this Plotting with GeoCat GitHub Repository.

@@ -1991,7 +1845,7 @@

Python for Atmosphere and Ocean Science

Python Tutorial Seminar Series - GeoCAT-Comp

 -

Author: Project Pythia, A Kootz
Affiliation: NCAR

+

Author: Project Pythia, A Kootz
Affiliation: NSF NCAR

Recording from the Python Tutorial Seminar Series introducing `geocat-comp`. The content to follow along with this video is hosted in this GeoCat-Comp GitHub Repository.

@@ -2357,10 +2211,10 @@

Climatematch Academy

- NCAR + NSF NCAR
- Unidata + NSF Unidata
UAlbany @@ -2410,7 +2264,7 @@

Contribute

By the Project Pythia Community. - Last updated on 9 August 2024. + Last updated on 6 September 2024.

diff --git a/_preview/451/search.html b/_preview/451/search.html index 2e9926ba..9bce5246 100644 --- a/_preview/451/search.html +++ b/_preview/451/search.html @@ -69,7 +69,7 @@ - + @@ -537,7 +537,7 @@

Search

- Last updated on 9 August 2024. + Last updated on 6 September 2024.

@@ -571,10 +571,10 @@

Search

- NCAR + NSF NCAR
- Unidata + NSF Unidata
UAlbany @@ -624,7 +624,7 @@

Contribute

By the Project Pythia Community. - Last updated on 9 August 2024. + Last updated on 6 September 2024.

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