2024 Material

.github/workflows/python-package-conda.yml

@@ -16,7 +16,7 @@ jobs:
       fail-fast: false
       matrix:
         os: ["ubuntu-latest"]
-        python-version: [3.8, 3.9]
+        python-version: [3.10.0, 3.11]
 
     steps:
     - uses: actions/checkout@v2
@@ -32,8 +32,21 @@ jobs:
       run: |
         python --version
         conda env create -f environment.yml
+        source activate em
+        git clone https://github.com/simpeg/pydiso.git
+        cd pydiso
+        pip install -e .
+        cd ..
+        git clone https://github.com/MTgeophysics/mtpy-v2.git
+        cd mtpy-v2
+        git checkout -f updates
+        pip install -e .
+        git clone https://github.com/MTgeophysics/mtpy_data.git
+        cd mtpy_data
+        pip install -e .
+        cd ..
     - name: Run Tests
       shell: bash
       run: |
         source activate em
-        conda list
+        conda list

README.md

@@ -1,8 +1,8 @@
 **[summary](#summary) | [prerequisites](#prerequisites) | [setup](#setup) | [resources](#resources) | [license](#license)**
 
-[![License](https://img.shields.io/github/license/simpeg-research/iris-mt-course-2022.svg)](https://github.com/simpeg-research/iris-mt-course-2022/blob/main/LICENSE)
+[![License](https://img.shields.io/github/license/simpeg-research/earthscope-mt-course.svg)](https://github.com/simpeg-research/earthscope-mt-course/blob/main/LICENSE)
 [![SimPEG](https://img.shields.io/badge/powered%20by-SimPEG-blue.svg)](http://simpeg.xyz)
-![example workflow](https://github.com/simpeg-research/iris-mt-course-2022/actions/workflows/python-package-conda.yml/badge.svg)
+![example workflow](https://github.com/simpeg-research/earthscope-mt-course/actions/workflows/python-package-conda.yml/badge.svg)
 [![Twitter](https://img.shields.io/twitter/url/https/twitter.com/cloudposse.svg?style=social&label=Follow%20%40sgkang09)](https://twitter.com/sgkang09)
 
 # Magnetotelluric (MT) Instrumentation and Data Processing Short Course
@@ -11,25 +11,27 @@
 |         | Info |
 |--------:|:-----|
 | When    | October 18-20th 2022|
+|        | October 28-Nov 1 2024|
 | conda environment  | `em` |
-| Slides  | [MT inversion](https://www.dropbox.com/sh/u87ft0xtj0fnc0e/AAC_44EIhLWAXto1KAkogoKWa?dl=0) |
 
 **Team**
 - [Seogi Kang](https://github.com/sgkang) (Instructor)
 - [Jared Peacock](https://github.com/kujaku11) (Instructor)
-- [Karl Kepler](https://github.com/kkappler) (Instructor)
+- [Karl Kappler](https://github.com/kkappler) (Instructor)
 - [Lindsey Heagy](http://github.com/lheagy) 
+- [Mike Mitchell]()(Instructor)
+- [Paul Bedrosian]()
 - and the [SimPEG contributors](https://github.com/simpeg/simpeg/graphs/contributors)
 
 
 
 ## Summary
 
-This repository contains the notebooks and tutorial resources for the Magnetotelluric (MT) Instrumentation and Data Processing Short Course - through Day2-Day4: 
+This repository contains the notebooks and tutorial resources for the Magnetotelluric (MT) Instrumentation and Data Processing Short Course - through Day 2-Day 4: 
 
-- Day2: MT Data, Data Formats, Software, & Data Processing
-- Day3: MT Dataset Explorations
-- Day4: MT inversions and Earth Models. 
+- Day 2: MT Data, Data Formats, Software, & Data Processing
+- Day 3: MT Dataset Explorations
+- Day 4: MT inversions and Earth Models. 
 
 This set of tutorials focus on providing hands-on examples of downloading, processing, visualzing, and inverting MT data. 
 
@@ -40,124 +42,65 @@ This set of tutorials focus on providing hands-on examples of downloading, proce
 * Some knowledge of Python is assumed.
 * All coding will be done in Jupyter notebooks. I'll explain how they work
   briefly but it will help if you've used them before.
-* We will ll use [numpy](https://numpy.org/), [matplotlib](https://matplotlib.org/), and
+* We will use [numpy](https://numpy.org/), [matplotlib](https://matplotlib.org/), and
   [ipywidgets](https://ipywidgets.readthedocs.io/)
   You don't need to be an expert in these tools but some familiarity will help.
 
-### Step 1: Download the MT inversion tutorial
+## Setup
 
-To clone this repository, open up a terminal and navigate to where you want this repository stored on your computer.
+### Anaconda
+
+If you do not already have Anaconda you can download it [here](https://www.anaconda.com/download/success). 
+
+*Be sure to download the correct package for your operating system.*
+
+
+### Step 1: Download the MT tutorial notebooks
+
+To clone this repository, open up an Anaconda terminal and navigate to where you want this repository stored on your computer.
 
 Then run
 ```
-git clone https://github.com/simpeg-research/iris-mt-course-2022.git
+git clone https://github.com/simpeg-research/earthscope-mt-course.git
 ```
-to clone the repository, and `cd` into the `iris-mt-course-2022` directory
+to clone the repository, and `cd` into the `earthscope-mt-course-2024` directory
 ```
-cd iris-mt-course-2022
+cd earthscope-mt-course
 ```
 
 ### Step 2: Create `em` conda environment
 
-From inside of the `iris-mt-course-2022` repository, create the `em` conda environment
+#### Create environment
+
+
+
+From inside of the `earthscope-mt-course` repository, create the `em` conda environment
 ```
 conda env create -f environment.yml
 ```
-and activate the environment
-```
-conda activate em
-```
-```
-cd ..
-```
 
-### Step 3: Install  `mt_metadata`, `MTH5`, `MTpy`, `aurora`, `SimPEG`
+and activate the environment
 
-Then 
-```
-git clone https://github.com/kujaku11/mt_metadata.git
-```
-```
-cd mt_metadata
-```
-```
-python setup.py install
-```
-```
-cd ..
-```
-```
-git clone https://github.com/kujaku11/mth5.git
-```
-```
-cd mth5
-```
-```
-python setup.py install
-```
-```
-cd ..
-```
-```
-git clone https://github.com/MTgeophysics/mtpy.git
 ```
-```
-cd mtpy
-```
-```
-git checkout -f v2
-```
-```
-python setup.py install
-```
-```
-cd ..
-```
-```
-git clone https://github.com/simpeg/aurora.git
-```
-```
-cd aurora
-```
-```
-pip install -e .
-```
-```
-cd ..
-```
-```
-git clone https://github.com/simpeg/simpeg.git
-```
-```
-cd simpeg
-```
-```
-git checkout -f tiled_fdem_nsem
-```
-```
-pip install -e .
-```
-```
-cd ..
-```
-```
-cd iris-mt-course-2022
+conda activate em
 ```
 
-### Step 4: Launching the notebooks
+### Step 3: Launching the notebooks
 
 Once you have activated the conda environment, you can launch the notebooks
+
 ```
 jupyter lab
 ```
-Jupyter will then launch in your web-browser.
 
+Jupyter will then launch in your web-browser.
 
 ## Resources
 
 **Resources on MT processing and inversions**
+- [mt-metadata](https://github.com/kujaku11/mt_metadata)
 - [MTH5](https://github.com/kujaku11/mth5)
-- [MTpy](https://github.com/MTgeophysics/mtpy)
+- [MTpy-v2](https://github.com/MTgeophysics/mtpy-v2)
 - [aurora](https://github.com/simpeg/aurora)
 - [SimPEG](https://www.simepg.xyz)