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Merge pull request #239 from DavidJVitale/dev_site_current
Make all files lowercase
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guide/01-getting-started/install-and-set-up.ipynb

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" * Select the release you want to install\n",
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" * Click 'Install' and accept the terms and conditions\n",
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"\n",
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"![install using ArcGIS Pro](../../static/img/guide_getstarted_InstallAndSetup_03.png)\n",
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"![install using ArcGIS Pro](../../static/img/guide_getstarted_installandsetup_03.png)\n",
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"\n",
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"To use the API in different IDEs, proceed to **[Using the API](#Using-the-API)**\n",
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"\n",
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" conda install -c esri arcgis\n",
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" ```\n",
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"\n",
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"![python command prompt](../../static/img/Python_Command_Prompt.png)\n",
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"![python command prompt](../../static/img/python_command_prompt.png)\n",
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"\n",
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"To use the API in different IDEs, proceed to **[Using the API](#Using-the-API)**\n",
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"\n",
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" \n",
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"You should see a map come up as shown below:\n",
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"\n",
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"![test your install](../../static/img/guide_getstarted_InstallAndSetup_02.PNG)\n",
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"![test your install](../../static/img/guide_getstarted_installandsetup_02.png)\n",
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"\n",
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"Learn more about the API using the [guide](../) and try out the [samples](../../sample-notebooks/)."
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]
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" \n",
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" `docker pull esridocker/arcgis-api-python-notebook`\n",
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" \n",
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" ![docker pull command](../../static/img/guide_getstarted_InstallAndSetup_04.PNG)\n",
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" ![docker pull command](../../static/img/guide_getstarted_installandsetup_04.png)\n",
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"\n",
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"\n",
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" * Then spin the image into a container using the following command in terminal. Replace the `<localport>` with an available port number, for instance `8889`. \n",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.6.2"
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"version": "3.6.1"
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},
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"varInspector": {
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"cols": {

guide/01-getting-started/system-requirements.ipynb

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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.6.2"
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"version": "3.6.1"
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}
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},
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"nbformat": 4,

guide/01-getting-started/understanding-conda.ipynb

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"\n",
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"`conda info --envs`\n",
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"\n",
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"![conda_info_envs Image](../../static/img/guide_getstarted_UnderstandingConda01.png)\n",
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"![conda_info_envs Image](../../static/img/guide_getstarted_understandingconda01.png)\n",
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"\n",
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"Enter the directory name and add python.exe to set the correct path to the Python interpreter for a specific environment. For example, the correct interpreter for the arcgispro-py3 environment in an IDE based on the screenshot above would be:\n",
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"\n",
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"`C:\\Program Files\\ArcGIS\\Pro\\bin\\Python\\envs\\arcgispro-py3\\python.exe`\n",
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"\n",
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"![conda environment interpreter in PyCharm IDE](../../static/img/guide_getstarted_UnderstandingConda_pycharm.png)\n",
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"![conda environment interpreter in PyCharm IDE](../../static/img/guide_getstarted_understandingconda_pycharm.png)\n",
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"\n",
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"See [Finding your Anaconda Python interpreter path](https://docs.anaconda.com/anaconda/user-guide/tasks/integration/python-path) for more detailed instructions on different systems.\n",
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"\n",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.6.4"
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"version": "3.6.1"
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},
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"varInspector": {
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"cols": {

guide/01-getting-started/using-the-api.ipynb

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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {
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"collapsed": false
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},
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"metadata": {},
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"outputs": [],
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"source": [
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"gis = GIS(\"https://orgname.arcgis.com\", \"username\", \"password\")"
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{
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"cell_type": "code",
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"execution_count": 3,
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"collapsed": false
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"metadata": {},
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"outputs": [],
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"gis = GIS()"
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{
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"cell_type": "code",
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"execution_count": 4,
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"collapsed": false
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"metadata": {},
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"outputs": [],
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"source": [
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"gis?"
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{
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"cell_type": "code",
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"execution_count": 5,
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"collapsed": false
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"metadata": {},
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"outputs": [],
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"source": [
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"user = gis.users.get('rxsingh')"
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{
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"cell_type": "code",
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"execution_count": 6,
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"metadata": {},
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{
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"data": {
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"cell_type": "code",
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"data": {
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"cell_type": "code",
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"execution_count": 8,
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"metadata": {},
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{
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"data": {
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{
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"cell_type": "code",
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"execution_count": 9,
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"collapsed": false
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"metadata": {},
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"outputs": [],
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"source": [
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"map = gis.map(\"Palm Springs, CA\")\n",
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"cell_type": "code",
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"execution_count": 10,
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"metadata": {
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"collapsed": false,
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"scrolled": false
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},
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"outputs": [
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{
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"cell_type": "code",
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"execution_count": 11,
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"metadata": {
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"collapsed": false
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"metadata": {},
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"outputs": [],
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"source": [
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"map.add_layer(items[8])"
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.5.2"
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"version": "3.6.1"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 1
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}

guide/01-getting-started/using-the-jupyter-notebook-environment.ipynb

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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"![Windows command prompt running jupyter notebook](../../static/img/guide_getstarted_UsingJupyterNotebooks_01.png)"
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"![Windows command prompt running jupyter notebook](../../static/img/guide_getstarted_usingjupyternotebooks_01.png)"
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"![Jupyter Notebook web application](../../static/img/guide_getstarted_UsingJupyterNotebooks_02.png)\n",
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"![Jupyter Notebook web application](../../static/img/guide_getstarted_usingjupyternotebooks_02.png)\n",
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"\n",
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"The page you see in this image is called the Notebook Dashboard."
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"cell_type": "markdown",
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"metadata": {},
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"![running a sample notebook](../../static/img/guide_GetStarted_UsingJupyterNotebooks_03.gif)\n",
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"![running a sample notebook](../../static/img/guide_getstarted_usingjupyternotebooks_03.gif)\n",
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"\n",
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"When a cell is executing the cell number turns to an asterisk `(*)` and the circle next to the kernal name (Python 3 in the gif above) turns solid."
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"\n",
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"In addition to running the sample notebooks, you can create new notebooks for your projects. To do so, from the Notebook Dashboard page, click on the 'New' button and select a Python kernel of choice as shown in the image below.\n",
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"\n",
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"![creating new notebooks](../../static/img/guide_getstarted_UsingJupyterNotebooks_04.png)\n",
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"![creating new notebooks](../../static/img/guide_getstarted_usingjupyternotebooks_04.png)\n",
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"\n",
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"Alternately, you can create new notebooks from the 'File' menu of a running notebook. In the screenshot above, note the icons of currently running notebooks are green in color."
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"\n",
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"You can get a tour of the notebook interface from the `Help -> User Interface Tour` menu. As you get used to this new interface, you can enhance your productivity by learning a few keyboard shortcuts. Accessing `Help > Keyboard shortcuts` from a running notebook will bring up a help dialog as shown below.\n",
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"\n",
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"![keyboard shortcuts](../../static/img/guide_getstarted_UsingJupyterNotebooks_05.png)\n",
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"![keyboard shortcuts](../../static/img/guide_getstarted_usingjupyternotebooks_05.png)\n",
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"\n",
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"Among the shortcuts, `ctrl + shift + P` or `cmd + shift + P` on a mac is particularly useful as it brings up a command palette into which you can type what you wish to do and execute it. Refer to this blog article [Five tips to get you started with Jupyter notebooks](https://blogs.esri.com/esri/arcgis/2017/06/30/82220/) to get further understanding on patterns to follow while using Jupyter notebooks."
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]
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},
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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}
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],
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"metadata": {
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.6.4"
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"version": "3.6.1"
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}
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},
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"nbformat": 4,
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