added revamped jupyter notebook tutorial and new google colab version

Author: kevinzakka

assets/ipython-tutorial/file-browser.png

@@ -14,16 +14,13 @@
 <div class="home">
   <div class="materials-wrap">
     <div class="module-header">Spring 2020 Assignments</div>
-    <div class="materials-item">
-      <a>Assignments will show up here once they are released.</a>
-    </div>
-
     <!-- <div class="materials-item">
-      <a href="assignments2019/assignment1/">
-        Assignment #1: Image Classification, kNN, SVM, Softmax, Neural Network
+      <a href="assignments2020/assignment1/">
+        Assignment #1: Image Classification, kNN, SVM, Softmax, Fully-Connected Neural Network
       </a>
-    </div>
+    </div> -->
 
+<!--
     <div class="materials-item">
       <a href="assignments2019/assignment2/">
         Assignment #2: Fully-Connected Nets, Batch Normalization, Dropout,
@@ -111,7 +108,7 @@
 
     <div class="materials-item">
       <a href="setup-instructions/">
-        Setup Instructions
+        Software Setup
       </a>
     </div>
 
@@ -122,8 +119,8 @@
     </div>
 
     <div class="materials-item">
-      <a href="jupyter-tutorial/">
-        Jupyter Notebook Tutorial
+      <a href="jupyter-colab-tutorial/">
+        Jupyter Notebook / Google Colab Tutorial
       </a>
     </div>
 <!--

index.html

@@ -13,30 +13,27 @@ Python code locally in your web browser. Jupyter notebooks
 make it very easy to tinker with code and execute it in bits
 and pieces; for this reason they are widely used in scientific
 computing.
-You can choose to run Google's flavor of Jupyter notebooks entirely
-in the cloud using Colab. Colab is basically Jupyter notebook on
-steroids: it's free, requires no setup, comes preinstalled with many packages
-so everyone has access to the same dependencies, is easy to share with the world,
-and has free access to hardware accelerators like GPUs and TPUs (with some caveats).
+Google has released a flavor of Jupyter notebooks called Colaboratory
+that runs entirely in the cloud. Colab is basically Jupyter notebook on
+steroids: it's free, requires no setup, comes preinstalled with many packages,
+is easy to share with the world, and benefits from free access to hardware
+accelerators like GPUs and TPUs (with some caveats).
 
-If you wish to run this tutorial
-in Colab (recommended), click the `Open in Colab` link below.
+If you wish to run this tutorial in Colab, click the `Open in Colab` badge below.
 
 <div>
-  <a href="link to shared drive in cs231n gmail" target="_blank">
+  <a href="https://colab.research.google.com/github/cs231n/cs231n.github.io/blob/master/python-colab.ipynb" target="_blank">
     <img class="colab-badge" src="/assets/badges/colab-open.svg" alt="Colab Notebook"/>
   </a>
 </div>
 
-Otherwise, if you're reading this far, we're assuming you wish to run Jupyter notebooks locally. If your virtual environment was installed correctly (as per the [setup instructions]({{site.baseurl}}/setup-instructions/)), `jupyter notebook` should have been automatically installed. Ensure you have activated your environment before proceeding.
-
-First, [download the notebook]() to a directory of your choosing. Then `cd` to that directory and run the following in your terminal:
+Otherwise, if you're reading this far, we're assuming you wish to run the notebook locally. If your virtual environment was installed correctly (as per the [setup instructions]({{site.baseurl}}/setup-instructions/)), activate it, then run `pip install notebook` to install Jupyter notebook. Next, [open the notebook](https://raw.githubusercontent.com/cs231n/cs231n.github.io/master/jupyter-notebook-tutorial.ipynb) and download it to a directory of your choice by right-clicking on the page and selecting `Save Page As`. Then `cd` to that directory and run the following in your terminal:
 
 ```
 jupyter notebook
 ```
 
-Once your notebook server is up and running, point your web browser to http://localhost:8888 to
+Once your notebook server is up and running, point your web browser to `http://localhost:8888` to
 start using your notebooks. If everything worked correctly, you should
 see a screen like this, showing all available notebooks in the current
 directory:
@@ -45,7 +42,7 @@ directory:
   <img src='/assets/ipython-tutorial/file-browser.png'>
 </div>
 
-Click `Jupyter Notebook Tutorial` and follow the instructions in the notebook.
+Click `jupyter-notebook-tutorial.ipynb` and follow the instructions in the notebook. Enjoy!
 
 <!-- If you click through to a notebook file, you will see a screen like this: -->