Merge branch 'development' of github.com:v3io/tutorials

README.md

@@ -88,7 +88,6 @@ You can download all the additional demos from the [demos repository](https://gi
 - [Platform components, services, and development ecosystem introduction](https://www.iguazio.com/docs/intro/latest-release/ecosystem/)
 - [References](https://iguazio.com/docs/reference/latest-release/)
 - [nuclio-jupyter SDK](https://github.com/nuclio/nuclio-jupyter/blob/master/README.md) for creating and deploying Nuclio functions with Python and Jupyter Notebook
-- [Iguazio sample data-set](http://iguazio-sample-data.s3.amazonaws.com/) public Amazon S3 bucket
 
 <a id="misc"></a>
 ## Miscellaneous

getting-started/virtual-env.ipynb

@@ -48,12 +48,12 @@
     "2.  <a id=\"conda-virt-env-setup-step-create-env\"></a>Create a new Python virtual environment by running the following command.\n",
     "    Replace `<environment name>` with your preferred virtual-environment name:\n",
     "    ```sh\n",
-    "    conda create -n <environment name> ipykernel python=3.7\n",
+    "    conda create -n <environment name> ipykernel python=3.6\n",
     "    ```\n",
     "\n",
     "    <br>For example, the following command creates an environment named \"myenv\":<br>\n",
     "    ```sh\n",
-    "    conda create -n myenv ipykernel python=3.7\n",
+    "    conda create -n myenv ipykernel python=3.6\n",
     "    ```\n",
     "\n",
     "\n",
@@ -65,7 +65,7 @@
     "\n",
     "   <br>For example, the following command installs the SciPy, pandas version 0.25.0, and TensorFlow version 1.13.1 packages for a \"myenv\" environment:\n",
     "   ```sh\n",
-    "   conda install -n myenv scipy pandas=0.25.0 tensorflow=1.13.1\n",
+    "   conda install -n myenv scipy pandas=0.25.0 tensorflow=1.13.1 python=3.6\n",
     "   ```\n",
     "\n",
     "\n",
@@ -150,4 +150,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 4
-}
+}

welcome.ipynb

@@ -137,8 +137,7 @@
     "- [In-depth platform overview](platform-overview.ipynb) with a break down of the steps for developing a full data science workflow from development to production\n",
     "- [Platform components, services, and development ecosystem introduction](https://www.iguazio.com/docs/intro/latest-release/ecosystem/)\n",
     "- [References](https://iguazio.com/docs/reference/latest-release/)\n",
-    "- [nuclio-jupyter SDK](https://github.com/nuclio/nuclio-jupyter/blob/master/README.md) for creating and deploying Nuclio functions with Python and Jupyter Notebook\n",
-    "- [Iguazio sample data-set](http://iguazio-sample-data.s3.amazonaws.com/) public Amazon S3 bucket"
+    "- [nuclio-jupyter SDK](https://github.com/nuclio/nuclio-jupyter/blob/master/README.md) for creating and deploying Nuclio functions with Python and Jupyter Notebook"
    ]
   },
   {
@@ -215,4 +214,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 4
-}
+}