Start book framework

.github/workflows/book.yml

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+name: deploy-book
+
+# Only run this when the master branch changes
+on:
+  push:
+    branches:
+    - master
+    - main
+
+# This job installs dependencies, build the book, and pushes it to `gh-pages`
+jobs:
+  deploy-book:
+    runs-on: ubuntu-latest
+    steps:
+    - uses: actions/checkout@v2
+
+    # Install dependencies
+    - name: Set up Python 3.7
+      uses: actions/setup-python@v1
+      with:
+        python-version: 3.7
+
+    - name: Install dependencies
+      run: |
+        pip install -r requirements.txt
+
+
+    # Build the book
+    - name: Build the book
+      run: |
+        jupyter-book build docs/
+
+    # Push the book's HTML to github-pages
+    - name: GitHub Pages action
+      uses: peaceiris/[email protected]
+      with:
+        github_token: ${{ secrets.GITHUB_TOKEN }}
+        publish_dir: ./docs/_build/html

.gitignore

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+docs/_build

LICENSE

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+MIT License
+
+Copyright (c) 2023 True-North-Intelligent-Algorithms
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

README.md

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+# intro-to-data-analysis
+An introduction to Python and the Python data analysis ecosystem

build.sh

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+jupyter-book build docs/
+
+open docs/_build/html/index.html
+

clean.sh

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+rm -rf build docs/_build

docs/10_intro/10_Module1.md

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+# Module 1 Introduction to Deconvolution
+
+## Todo:
+
+Start the slides...

docs/10_intro/20_Libraries.md

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+# Libraries
+
+Test to see if the libraries are installed correctly

docs/20_deep_learning/10_Introduction.md

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+# Introduction to Data Wrangling 
+
+## What is data Wrangling??
+[From Wikipedia](https://en.wikipedia.org/wiki/Data_wrangling)
+
+Data wrangling, sometimes referred to as data munging, is the process of transforming and mapping data from one "raw" data form into another format with the intent of making it more appropriate and valuable for a variety of downstream purposes such as analytics. A data wrangler is a person who performs these transformation operations.
+
+In this class we will use Pandas for "Data Wrangling" 
+
+## Why Pandas??
+
+Pandas is a python library.  It allows us to manipulate data programatically.  Then we can apply other tool sets (like the plotting library matplotlib or the machine learning libary scikitlearn) downstream.
+
+## Data Wrangling operations we will learn
+
+* Read .csv, text and excel files
+* Use Groupby to summarize data
+* Sort data
+* Clean data
+* Eliminate un-needed or redundant data
+* Join, Merge and Concatenate data
+

docs/20_deep_learning/20_Care.md

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+# CARE
+
+Explain CARE Network

docs/90_notes/10_notes.md

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+## Notes
+
+Todo: Notes

docs/90_notes/20_notes.md

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+# Second set of notes
+
+More notes...

docs/_config.yml

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+# In _config.yml
+logo: logo.jpeg
+execute:
+  execute_notebooks: off
+
+# Add a bibtex file so that we can create citations
+#bibtex_bibfiles:
+#  - references.bib
+
+  # Information about where the book exists on the web
+repository:
+  url: https://github.com/True-North-Intelligent-Algorithms/deconvolution-gpu-dl-course # Online location of your book
+  branch: main # Which branch of the repository should be used when creating links (optional)
+
+# Add GitHub buttons to your book
+# See https://jupyterbook.org/customize/config.html#add-a-link-to-your-repository
+html:
+  use_issues_button: true
+  use_repository_button: true
+  extra_footer: |
+    <p>
+    Copyright: This work can be reused under the terms of the <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">CC-BY 4.0</a> license unless mentioned otherwise.
+    </p>
+sphinx:
+  config:
+    html_show_copyright: false

docs/_toc.yml

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+# Table of contents
+# Learn more at https://jupyterbook.org/customize/toc.html
+
+format: jb-book
+root: intro
+
+options: # The options key will be applied to all chapters, but not sub-sections
+  numbered: False
+
+parts:
+- caption: Exploring the Intersection of Deconvolution, GPU Computing, and Deep Learning
+  chapters:
+  - file: 10_intro/10_Module1
+    sections:
+    - file: 10_intro/20_Libraries
+  - file: 20_deep_learning/10_Introduction
+    sections:
+    - file: 20_deep_learning/20_Care
+  - file: 90_notes/10_notes
+    sections:
+    - file: 90_notes/20_notes
+

docs/intro.md

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+# Intro to Exploring the Intersection of Deconvolution, GPU Computing, and Deep Learning
+
+Learn
+
+* the basics of deconvoluton 
+* how to use GPUs for deconvolution
+* how to train deep neural networks for image restoration

requirements.txt

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+jupyter-book
+matplotlib
+numpy