anchor.diff:          "userEntityId", "u1",
           "number",  4
       ));
  -```
  -  </div>
  -  <div data-tab="REST API" data-lang="json">
  -```
  -$ curl -H "Content-Type: application/json" \
  --d '{ "userEntityId": "u1", "number": 4 }' \
  -http://localhost:8000/queries.json
  -
   ```
     </div>
   </div>
  
positive.code: 
  Next, let's collect training data for this Engine. By default,
  the E-Commerce Recommendation Engine Template supports 2 types of entities and 2 events: **user** and
  **item**; events **view** and **buy**. Each item has a **categories** property, which is a list of category names (String). A user can view and buy an item.
  
  There is also one special **constraint** entity with entity ID **unavailableItems**, which defines a list of unavailable items and is taken into account in real time during serving.
  
  <%= partial 'shared/quickstart/install_sdk' %>
  
  The following is a sample code of using different SDKs to import events of setting user and item properties, user-view-item events, user-buy-item events and setting the constraint **unavailableItems**.
  
  <div class="tabs">
    <div data-tab="Python SDK" data-lang="python">
  
negative.code: 
  A Python import script `import_eventserver.py` is provided to import sample data. It imports 10 users (with user ID "u1" to "u10") and 50 items (with item ID "i1" to "i50") with some random assigned categories ( with categories "c1" to "c6"). Each user then randomly view 10 items.
  
  <%= partial 'shared/quickstart/install_python_sdk' %>
  
  Make sure you are under the `MyECommerceRecommendation` directory. Execute the following to import the data (Replace the value of access_key parameter with your **Access Key**):
  
  ```
  $ cd MyECommerceRecommendation
  