updated install and setup guide (#1067)

* updated install and setup guide

* added conda update command

* added suggested changes

Author: guneetmutreja

guide/01-getting-started/install-and-set-up.ipynb

@@ -395,9 +395,9 @@
     "\n",
     "To work with the deep learning tools in ArcGIS Pro 2.6 and later, you need to install supported deep learning frameworks packages.\n",
     "\n",
-    "Deep learning installer is now available at https://github.com/Esri/deep-learning-frameworks. This installer includes a broad collection of components, such as PyTorch, TensorFlow, Fast.ai and scikit-learn, for performing deep learning and machine learning tasks, a total collection of 95 packages. It adds packages to the default arcgispro-py3 environment. Any subsequent clones of that environment will also include this full collection of packages. \n",
+    "`Deep Learning Libraries Installer for ArcGIS` is now available at https://github.com/Esri/deep-learning-frameworks. This installer includes a broad collection of components, such as PyTorch, TensorFlow, Fast.ai and scikit-learn, for performing deep learning and machine learning tasks. Note that this will install the deep learning frameworks into your currently active Pro Python environment; if you wish to install in an environment aside from the default arcgispro-py3 environment, switch to that environment before running the MSI using either ArcGIS Pro's Python manager UI or on the command line with proswap. Any subsequent clones of that environment will also include this full collection of packages. \n",
     "\n",
-    "For instructions on how to install deep learning installer manually or over ArcGIS Image Server, click [here](https://github.com/Esri/deep-learning-frameworks/blob/master/install-deep-learning-frameworks-manually-2-7.pdf)."
+    "For instructions on how to install deep learning frameworks manually or over ArcGIS Image Server, click [here](https://github.com/Esri/deep-learning-frameworks/blob/master/install-deep-learning-frameworks-manually-2-7.pdf)."
    ]
   },
   {
@@ -411,51 +411,46 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "To install deep learning packages in ArcGIS Pro, first ensure that ArcGIS Pro is installed.\n",
-    "Using the steps below, you will create a new Python deep learning environment by cloning the default Python environment\n",
-    "arcgispro-py3 using the above above. Activate the cloned environment. \n"
+    "#### For ArcGIS Pro users:"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "For opening Python Command Prompt navigate to  \n",
-    "**Start** Menu > **All Programs** > **ArcGIS** > **Python Command Prompt**\n",
+    "Ensure that ArcGIS Pro is installed.\n",
     "\n",
-    "If using Anaconda, Open a terminal application, navigate to the directory you want to work in and activate the conda environment.\n",
+    "[Deep learning frameworks](https://github.com/esri/deep-learning-frameworks) can be used to install all the required dependencies in ArcGIS Pro's default python environment using an MSI installer.\n",
     "\n",
+    "Or alternatively,\n",
     "\n",
-    "Next, you will install the following Python packages: Tensorflow, fast.ai, Keras, Pytorch, Scikit-image, Pillow, and Libtiff. Keep in\n",
-    "mind you will be installing specific versions of these packages indicated in the installation steps below. The tools only work with\n",
-    "these specific versions. \n",
+    "for a cloned environment of ArcGIS Pro's default environment, `deep-learning-essentials` metapackage can be used to install the required dependencies. Which can be done using the following command, in the `Python Command Prompt` *(included with ArcGIS Pro)*:\n",
     "\n",
-    "\n",
-    "- Install the dependencies using the following command:\n",
-    "\n",
-    "    ```conda install -c esri -c fastai -c pytorch arcgis=1.8.2 scikit-image=0.15.0 pillow=6.2.2 libtiff=4.0.10 fastai=1.0.60 pytorch=1.4.0 torchvision=0.5.0 --no-pin```\n"
+    "```conda install -c esri deep-learning-essentials```\n"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "- For TensorFlow support (optional), use the following command:\n",
-    "\n",
-    "    ```conda install -c esri -c fastai -c pytorch arcgis=1.8.2 scikit-image=0.15.0 pillow=6.2.2 libtiff=4.0.10 fastai=1.0.60 pytorch=1.4.0 torchvision=0.5.0 tensorflow-gpu=2.1.0 --no-pin```"
+    "####  For Anaconda users (Windows & Linux platforms):"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "- For Multispectral data support (optional and needed only for Anaconda users)\n",
+    "`arcgis_learn` metapackage can be used for both windows and linux installations of Anaconda in a new environment.\n",
+    "\n",
+    "The following command will update Anaconda to the latest version.\n",
+    "\n",
+    "```conda update conda```\n",
+    "\n",
+    "After that, metapackage can be installed using the command below:\n",
+    "\n",
+    "```conda install -c esri arcgis_learn python=3.7```\n",
     "\n",
-    "   ```conda install -c esri gdal=2.3.3```\n",
-    "  \n",
-    "  \n",
-    "  \n",
-    "Alternatively, you may also use [deep learning essentials](https://anaconda.org/esri/deep-learning-essentials) to install deep learning environment."
+    "Note: Python version 3.6 and 3.8 are also supported with this command."
    ]
   },
   {
@@ -561,7 +556,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.9"
+   "version": "3.7.10"
   },
   "toc": {
    "base_numbering": 1,