Fix duplicate titles

core/cartopy/cartopy.ipynb

@@ -1,19 +1,14 @@
 {
  "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "<img src=\"../../images/cartopy_logo.png\" width=600 />"
-   ]
-  },
   {
    "cell_type": "markdown",
    "metadata": {
     "tags": []
    },
    "source": [
-    "# Introduction to Cartopy"
+    "# Introduction to Cartopy\n",
+    "\n",
+    "<img src=\"../../images/cartopy_logo.png\" width=600 />"
    ]
   },
   {

core/data-formats/netcdf-cf.ipynb

@@ -1,17 +1,13 @@
 {
  "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "![NetCDF Logo](https://www.unidata.ucar.edu/images/logos/netcdf-400x400.png \"NetCDF Logo\")"
-   ]
-  },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "# NetCDF and CF: The Basics\n",
+    "\n",
+    "![NetCDF Logo](https://www.unidata.ucar.edu/images/logos/netcdf-400x400.png \"NetCDF Logo\")\n",
+    "\n",
     "---"
    ]
   },

core/matplotlib.md

@@ -1,7 +1,7 @@
-![Matplotlib logo](https://matplotlib.org/stable/_images/sphx_glr_logos2_003.png)
-
 # Matplotlib
 
+![Matplotlib logo](https://matplotlib.org/stable/_images/sphx_glr_logos2_003.png)
+
 [Matplotlib](https://matplotlib.org) is the go-to library for plotting within Python. Numerous packages and libraries build off of Matplotlib, making it the de facto standard Python plotting package. If you were to learn a single plotting tool to keep in your toolbox, this is it.
 
 ## Why Matplotlib?

core/matplotlib/annotations-colorbars-layouts.ipynb

@@ -1,20 +1,14 @@
 {
  "cells": [
-  {
-   "cell_type": "markdown",
-   "id": "a2d0abc7-ffd8-483e-87ae-bb169c5bcecf",
-   "metadata": {},
-   "source": [
-    "![Matplotlib logo](https://matplotlib.org/stable/_images/sphx_glr_logos2_003.png)"
-   ]
-  },
   {
    "cell_type": "markdown",
    "id": "2583ef82-33dc-4df5-9f6d-f357d72f0b81",
    "metadata": {},
    "source": [
     "# Annotations, Colorbars, and Advanced Layouts\n",
     "\n",
+    "![Matplotlib logo](https://matplotlib.org/stable/_images/sphx_glr_logos2_003.png)\n",
+    "\n",
     "---\n",
     "## Overview\n",
     "\n",

core/matplotlib/histograms-piecharts-animation.ipynb

@@ -1,19 +1,13 @@
 {
  "cells": [
-  {
-   "cell_type": "markdown",
-   "id": "3d9564ec",
-   "metadata": {},
-   "source": [
-    "![Matplotlib logo](https://matplotlib.org/stable/_images/sphx_glr_logos2_003.png)"
-   ]
-  },
   {
    "cell_type": "markdown",
    "id": "e9eb4444",
    "metadata": {},
    "source": [
-    "# Histograms, Pie Charts, and Animations"
+    "# Histograms, Pie Charts, and Animations\n",
+    "\n",
+    "![Matplotlib logo](https://matplotlib.org/stable/_images/sphx_glr_logos2_003.png)"
    ]
   },
   {

core/matplotlib/matplotlib-basics.ipynb

@@ -4,16 +4,11 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
+    "# Matplotlib Basics\n",
+    "\n",
     "![Matplotlib logo](https://matplotlib.org/stable/_images/sphx_glr_logos2_003.png)"
    ]
   },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Matplotlib Basics"
-   ]
-  },
   {
    "cell_type": "markdown",
    "metadata": {},

core/numpy.md

@@ -1,7 +1,10 @@
-<img src=https://github.com/numpy/numpy/raw/main/branding/logo/primary/numpylogo.svg width=250 alt="NumPy Logo"></img>
-
 # NumPy
 
+:::{image} https://github.com/numpy/numpy/raw/main/branding/logo/primary/numpylogo.svg
+:alt: NumPy Logo
+:width: 250
+:::
+
 This section contains tutorials on array computing with [NumPy](https://numpy.org).
 
 ---

core/numpy/intermediate-numpy.ipynb

@@ -4,8 +4,10 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "<img src=https://github.com/numpy/numpy/raw/main/branding/logo/primary/numpylogo.svg width=250 alt=\"NumPy Logo\"></img>\n",
     "# Intermediate NumPy\n",
+    "\n",
+    "<img src=https://github.com/numpy/numpy/raw/main/branding/logo/primary/numpylogo.svg width=250 alt=\"NumPy Logo\"></img>\n",
+    "\n",
     "---"
    ]
   },

core/numpy/numpy-basics.ipynb

@@ -4,8 +4,10 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "<img src=https://github.com/numpy/numpy/raw/main/branding/logo/primary/numpylogo.svg width=250 alt=\"NumPy Logo\"></img>\n",
     "# NumPy Basics\n",
+    "\n",
+    "<img src=https://github.com/numpy/numpy/raw/main/branding/logo/primary/numpylogo.svg width=250 alt=\"NumPy Logo\"></img>\n",
+    "\n",
     "---"
    ]
   },

core/numpy/numpy-broadcasting.ipynb

@@ -4,8 +4,9 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "<img src=https://github.com/numpy/numpy/raw/main/branding/logo/primary/numpylogo.svg width=250 alt=\"NumPy Logo\"></img>\n",
     "# NumPy Broadcasting\n",
+    "\n",
+    "<img src=https://github.com/numpy/numpy/raw/main/branding/logo/primary/numpylogo.svg width=250 alt=\"NumPy Logo\"></img>\n",
     "---"
    ]
   },

core/pandas/pandas.ipynb

@@ -5,9 +5,10 @@
    "id": "a132f14e-55b7-4894-8a09-5f08be34e4c7",
    "metadata": {},
    "source": [
+    "# Introduction to Pandas\n",
+    "\n",
     "<center><img src=\"https://github.com/pandas-dev/pandas/raw/main/web/pandas/static/img/pandas.svg\" alt=\"pandas Logo\" style=\"width: 800px;\"/></center>\n",
     "\n",
-    "# Introduction to Pandas\n",
     "---"
    ]
   },

core/xarray.md

@@ -1,7 +1,7 @@
-![xarray Logo](https://docs.xarray.dev/en/stable/_static/Xarray_Logo_RGB_Final.svg "xarray Logo")
-
 # Xarray
 
+![xarray Logo](https://docs.xarray.dev/en/stable/_static/Xarray_Logo_RGB_Final.svg "xarray Logo")
+
 This section contains tutorials on using [Xarray][xarray home]. Xarray is used widely in the geosciences and beyond for analysis of gridded N-dimensional datasets.
 
 ---

core/xarray/dask-arrays-xarray.ipynb

@@ -1,20 +1,15 @@
 {
  "cells": [
-  {
-   "cell_type": "markdown",
-   "id": "d59e6a58-b50e-4015-bbd8-b48608d44b26",
-   "metadata": {},
-   "source": [
-    "<img src=\"images/dask_horizontal.svg\" align=\"left\" width=\"30%\">\n"
-   ]
-  },
   {
    "cell_type": "markdown",
    "id": "013dde55-1cea-4fd8-b980-0fa06bdd5568",
    "metadata": {},
    "source": [
     "# Dask Arrays with Xarray\n",
     "\n",
+    "<img src=\"images/dask_horizontal.svg\" align=\"left\" width=\"30%\">\n",
+    "\n",
+    "\n",
     "The scientific Python package known as Dask provides Dask Arrays: parallel, larger-than-memory, n-dimensional arrays that make use of blocked algorithms. They are analogous to Numpy arrays, but are distributed. These terms are defined below:\n",
     "\n",
     "*  **Parallel** code uses many or all of the cores on the computer running the code.\n",

core/xarray/xarray-intro.ipynb

@@ -4,9 +4,9 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "![xarray Logo](https://docs.xarray.dev/en/stable/_static/Xarray_Logo_RGB_Final.svg \"xarray Logo\")\n",
+    "# Introduction to Xarray\n",
     "\n",
-    "# Introduction to Xarray"
+    "![xarray Logo](https://docs.xarray.dev/en/stable/_static/Xarray_Logo_RGB_Final.svg \"xarray Logo\")\n"
    ]
   },
   {

foundations/getting-started-github.md

@@ -1,10 +1,10 @@
+# Getting Started with GitHub
+
 ```{image} ../images/GitHub-logo.png
 :alt: GitHub Logo
-:width: 600px
+:width: 400px
 ```
 
-# Getting Started with GitHub
-
 Python and Jupyter are cool technologies, but they only scratch the surface of why you might want to adopt Python for your geoscience workflow.
 
 This section will introduce GitHub, the de facto standard platform for collaboration and version control used by the open-source Python community.

foundations/github/basic-git.md

@@ -1,10 +1,10 @@
+# Basic Version Control with _git_
+
 ```{image} ../../images/Git-Logo-2Color.png
 :alt: Git Logo
 :width: 400px
 ```
 
-# Basic Version Control with _git_
-
 ## Overview:
 
 1. The need for version control

foundations/github/contribute-to-pythia.md

@@ -1,10 +1,10 @@
+# Contribute to Project Pythia via GitHub
+
 ```{image} ../../images/GitHub-logo.png
 :alt: GitHub Logo
 :width: 400px
 ```
 
-# Contribute to Project Pythia via GitHub
-
 ## Overview:
 
 1. Suggest a change

foundations/github/git-branches.md

@@ -1,10 +1,10 @@
+# Git Branches
+
 ```{image} ../../images/Git-Logo-2Color.png
 :alt: Git Logo
 :width: 400px
 ```
 
-# Git Branches
-
 Git "branches" are an important component of many Git and GitHub workflows. If you plan to use GitHub to manage your own resources, or contribute to a GitHub hosted project, it is essential to have a basic understanding of what branches are and how to use them. For example, the best practices for a simple workflow for suggesting changes to a GitHub repository are: create your own fork of the repository, make a branch from your fork where your changes are made, and then suggest these changes move to the upstream repository with a Pull Request. This section of the GitHub chapter assumes you have read the prior GitHub sections, are at least somewhat familiar with git commands and the vocabulary ("cloning," "forking," "merging," "Pull Request" etc), and that you have already created your own fork of the [GitHub Sandbox Repository](https://github.com/ProjectPythia/github-sandbox) hosted by Project Pythia.
 
 ## Overview:

foundations/github/github-cloning-forking.md

@@ -1,10 +1,10 @@
+# Cloning and Forking a Repository
+
 ```{image} ../../images/GitHub-logo.png
 :alt: GitHub Logo
 :width: 400px
 ```
 
-# Cloning and Forking a Repository
-
 ## Overview:
 
 1. Cloning and forking a git repository

foundations/github/github-issues.md

@@ -1,10 +1,10 @@
+# Issues and Discussions
+
 ```{image} ../../images/GitHub-logo.png
 :alt: GitHub Logo
 :width: 400px
 ```
 
-# Issues and Discussions
-
 ## Overview:
 
 1. What are Issues and Discussions?

foundations/github/github-pull-request.md

@@ -1,10 +1,10 @@
+# Opening a Pull Request on GitHub
+
 ```{image} ../../images/GitHub-logo.png
 :alt: GitHub Logo
 :width: 400px
 ```
 
-# Opening a Pull Request on GitHub
-
 A Pull Request, aka a "merge request," is an event that occurs when a project contributor begins the process of merging new code changes from a feature branch with the main project repository.
 
 ## Overview:

foundations/github/github-repos.md

@@ -1,10 +1,10 @@
+# GitHub Repositories
+
 ```{image} ../../images/GitHub-logo.png
 :alt: GitHub Logo
 :width: 400px
 ```
 
-# GitHub Repositories
-
 ## Overview:
 
 1. Explore GitHub Repositories

foundations/github/github-setup-advanced.md

@@ -1,10 +1,10 @@
+# Configuring Your GitHub Account
+
 ```{image} ../../images/GitHub-logo.png
 :alt: GitHub Logo
 :width: 400px
 ```
 
-# Configuring Your GitHub Account
-
 ## Overview:
 
 1. Configure your GitHub account for secure logins via ssh and/or https

foundations/github/github-workflows.md

@@ -1,10 +1,10 @@
+# GitHub Workflows
+
 ```{image} ../../images/Git-Logo-2Color.png
 :alt: Git Logo
 :width: 400px
 ```
 
-# GitHub Workflows
-
 A workflow is a series of activities or tasks that must be completed sequentially or parallel to achieve the desired outcome. Here we outline two different GitHub workflows that take you through the steps leading up to opening a Pull Request.
 
 ## Overview:

foundations/github/review-pr.md

@@ -1,10 +1,10 @@
+# Reviewing Pull Requests
+
 ```{image} ../../images/GitHub-logo.png
 :alt: GitHub Logo
 :width: 400px
 ```
 
-# Reviewing Pull Requests
-
 Pull Requests (PRs) are typically reviewed by collaborators before being merged in to the main project branch. Many people feel overwhelmed, or feel as though their skills are lacking, when asked to perform their first PR review. If you find yourself in this or a similar situation, the examples in this tutorial can be quite helpful. With the help of this tutorial, anyone can quickly learn the basics of reviewing PRs, which can boost collaboration and productivity in any project hosted on GitHub. This tutorial also contains useful tips on how to effectively review a PR in many different situations.
 
 ## Overview:

foundations/github/what-is-github.md

@@ -1,10 +1,10 @@
+# What is GitHub?
+
 ```{image} ../../images/GitHub-logo.png
 :alt: GitHub Logo
 :width: 400px
 ```
 
-# What is GitHub?
-
 ## Overview:
 
 1.  What is GitHub?