anaconda install included but note building

pygis/_build/html/_sources/docs/a_intro.ipynb

@@ -2,7 +2,7 @@
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pygis/_build/html/_sources/docs/b_about_py.ipynb

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pygis/_build/html/_sources/docs/b_conda_started.ipynb

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pygis/_build/html/_sources/docs/b_conda_started.md

@@ -20,6 +20,8 @@ html_meta:
 ----------------
 
 ```{admonition} Learning Objectives
+- Learn basics of anaconda
+- Set up a working environment for spatial modeling
 - Learn the basics of Docker
 - Pull, run, and update a container set up for spatial modeling
 ```
@@ -31,6 +33,58 @@ html_meta:
 # Setting up Python for Spatial on Mac, Windows, and Linux
 Spatial analysis requires a pretty broad set of python modules and with it, comes a lot of dependencies. And to be honest, the only thing Python doesn't do well with, is dependencies. Luckily we have a few tricks up our sleeves to help you get to work fast. 
 
+
+## Anaconda 
+### Install Anaconda
+Anaconda is a package manager that makes handling dependencies much easier.  Before you begin install:
+
+- [Anaconda](https://www.anaconda.com/products/distribution)
+
+Alternatively, if you don't have much free space in your computer (or if think anaconda is bloated- which is ):
+
+- [miniconda](https://conda.io/projects/conda/en/latest/user-guide/install/index.html)
+
+Hit yes and make sure to run the `init` script if prompted. 
+
+### Create an Environment Called Spatial
+First thing we need to do is create a conda environment. Think of this as a sandbox for installing a new version of python with only a few chosen modules.
+
+Open `terminal` on a mac/linux or open `anaconda command prompt` or `command prompt` in windows. Then run the following to create an environment called `spatial`:
+
+``` bash
+conda create -n spatial python=3.9
+```
+Now that we have created the environment, let's jump in it! After which you should see `(spatial)` on the left hand side of your terminal. 
+
+``` bash
+conda activate spatial
+```
+To avoid conflicting dependencies let's add the channel called `conda-forge` (a user maintained list of python modules) and set it to only search there, by setting priority to `strict`. 
+
+``` bash
+conda config --add channels conda-forge
+conda config --set channel_priority strict
+```
+
+Now let's install most of the modules we will need in this book:
+
+``` bash
+conda install geowombat geopandas rasterio matplotlib pandas
+```
+Now install those that aren't available through conda's channels:
+
+``` bash
+pip install sklearn-xarray  pip-tools rtree ipykernel osmnx PyKrige census us
+```
+That's it! To learn more about managing environments in conda please refer to the [docs here](https://docs.conda.io/projects/conda/en/latest/user-guide/tasks/manage-environments.html).
+
+```{Important}
+Note that every time you want to use your `spatial` environment. You will need to select it in your IDE or open a terminal window and type `conda activate spatial`, you can then launch your IDE via the command line. 
+```
+
+
+
+
 ## Docker for Spatial Python - GDAL Included
 Docker allows us to essentially package and share operating systems with specific modifications. Importantly for us this includes libraries and dependencies that are difficult to install otherwise (I'm looking at you GDAL). Before we start you should familiarize yourself with the basic concepts behind Docker, please read the following: [a simple intro to Docker concepts](https://docs.microsoft.com/en-us/dotnet/architecture/microservices/container-docker-introduction/docker-defined)
 

pygis/_build/html/_sources/docs/b_getting_started.ipynb

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     "(b_getting_started)=\n",
@@ -239,7 +239,7 @@
   {
    "cell_type": "code",
    "execution_count": 1,
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@@ -280,7 +280,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "eeb3d6ea",
+   "id": "4fe871f3",
    "metadata": {},
    "source": [
     "Don\\'t worry about the details for now --- let\\'s just run it and see\n",

pygis/_build/html/_sources/docs/b_intro_py.ipynb

@@ -2,7 +2,7 @@
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     "(b_intro_py)=\n",

pygis/_build/html/_sources/docs/b_learn_more.ipynb

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  "cells": [
   {
    "cell_type": "markdown",
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    "source": [
     "# Learn More\n",
@@ -25,7 +25,7 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "id": "90881188",
+   "id": "2fe15f24",
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@@ -38,7 +38,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "5003e4bf",
+   "id": "f68ec785",
    "metadata": {},
    "source": [
     "Now let\\'s take the inner product"
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   {
    "cell_type": "code",
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-   "id": "7baf1a9f",
+   "id": "0e293976",
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@@ -67,7 +67,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "00aecff7",
+   "id": "67e27581",
    "metadata": {},
    "source": [
     "The number you see here might vary slightly due to floating point arithmetic\n",
@@ -94,7 +94,7 @@
   {
    "cell_type": "code",
    "execution_count": 3,
-   "id": "bcbed9d5",
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   },
   {
    "cell_type": "markdown",
-   "id": "04731022",
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    "source": [
     "SciPy includes many of the standard routines used in\n",
@@ -181,7 +181,7 @@
   {
    "cell_type": "code",
    "execution_count": 4,
-   "id": "1e0f6075",
+   "id": "ed9f2a2a",
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@@ -205,7 +205,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "7c566941",
+   "id": "e9697d37",
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     "We can manipulate expressions"
@@ -214,7 +214,7 @@
   {
    "cell_type": "code",
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-   "id": "e44e4dc5",
+   "id": "47333b4b",
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   },
   {
    "cell_type": "markdown",
-   "id": "8e84e0e9",
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     "solve polynomials"
@@ -233,7 +233,7 @@
   {
    "cell_type": "code",
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@@ -244,7 +244,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "6e250698",
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     "and calculate limits, derivatives and integrals"
@@ -253,7 +253,7 @@
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   {
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   {
    "cell_type": "code",
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   },
   {
    "cell_type": "markdown",
-   "id": "ff1ef0c3",
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    "source": [
     "The beauty of importing this functionality into Python is that we are\n",
@@ -307,7 +307,7 @@
   {
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@@ -324,7 +324,7 @@
   {
    "cell_type": "code",
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@@ -333,7 +333,7 @@
   },
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-   "id": "1504e295",
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    "source": [
     "## Further Reading\n",