CartoDB · Jesus89 · Nov 29, 2019 · Nov 28, 2019 · Nov 28, 2019 · Nov 28, 2019
diff --git a/cartoframes/core/cartodataframe.py b/cartoframes/core/cartodataframe.py
@@ -175,7 +175,7 @@ def _constructor(self):
 
     def __getitem__(self, key):
         result = super(self._constructor, self).__getitem__(key)
-        if isinstance(key, (list, ndarray, Series)):
+        if isinstance(key, (list, slice, ndarray, Series)):
             result.__class__ = self._constructor
         return result
 

diff --git a/cartoframes/data/observatory/catalog/entity.py b/cartoframes/data/observatory/catalog/entity.py
@@ -33,7 +33,7 @@ class CatalogEntity(ABC):
 
     id_field = 'id'
     _entity_repo = None
-    export_excluded_fields = ['summary_json', 'available_in']
+    export_excluded_fields = ['summary_json', 'available_in', 'geom_coverage']
 
     def __init__(self, data):
         self.data = data

diff --git a/cartoframes/data/observatory/enrichment/enrichment.py b/cartoframes/data/observatory/enrichment/enrichment.py
@@ -22,7 +22,7 @@ class Enrichment(EnrichmentService):
     def __init__(self, credentials=None):
         super(Enrichment, self).__init__(credentials)
 
-    def enrich_points(self, dataframe, variables, geom_col=None, filters={}):
+    def enrich_points(self, dataframe, variables, geom_col=None, filters=[]):
         """Enrich your points `DataFrame` with columns (:obj:`Variable`) from one or more :obj:`Dataset`
         in the Data Observatory, intersecting the points in the source `DataFrame` with the geographies in the
         Data Observatory.
@@ -127,8 +127,7 @@ def enrich_points(self, dataframe, variables, geom_col=None, filters={}):
     AGGREGATION_NONE = AGGREGATION_NONE
     """Do not aggregate data in polygons enrichment. More info in :py:attr:`Enrichment.enrich_polygons`"""
 
-    def enrich_polygons(self, dataframe, variables, geom_col=None, filters=[],
-                        aggregation=AGGREGATION_DEFAULT):
+    def enrich_polygons(self, dataframe, variables, geom_col=None, filters=[], aggregation=AGGREGATION_DEFAULT):
         """Enrich your polygons `DataFrame` with columns (:obj:`Variable`) from one or more :obj:`Dataset` in
         the Data Observatory by intersecting the polygons in the source `DataFrame` with geographies in the
         Data Observatory.
@@ -160,13 +159,16 @@ def enrich_polygons(self, dataframe, variables, geom_col=None, filters=[],
 
                 The options are:
                     - :py:attr:`Enrichment.AGGREGATION_DEFAULT` (default): Every :obj:`Variable` has a default
-                    aggregation method in the :py:attr:`Variable.agg_method` property and it will be used to aggregate
-                    the data (a variable could not have `agg_method` defined and in this case, the variables will be
-                    skipped).
+                    aggregation method in the :py:attr:`Variable.agg_method` property and it will be used to
+                    aggregate the data (a variable could not have `agg_method` defined and in this case, the
+                    variables will be skipped).
+
                     - :py:attr:`Enrichment.AGGREGATION_NONE`: use this option to do the aggregation locally by yourself.
                     You will receive a row of data from each polygon instersected.
+
                     - str: if you want to overwrite every default aggregation method, you can pass a string with the
                     aggregation method to use.
+
                     - dictionary: if you want to overwrite some default aggregation methods from your selected
                     variables, use a dict as :py:attr:`Variable.id`: aggregation method pairs, for example:
                     `{variable1.id: 'SUM', variable3.id: 'AVG'}`.

diff --git a/cartoframes/io/dataset_info.py b/cartoframes/io/dataset_info.py
@@ -64,7 +64,7 @@ def update(self, privacy=None, table_name=None):
         if modified:
             self._save_metadata()
 
-    def _get_metadata(self, auth_client, table_name, retries=3, retry_wait_time=1):
+    def _get_metadata(self, auth_client, table_name, retries=4, retry_wait_time=1):
         ds_manager = DatasetManager(auth_client)
         try:
             return ds_manager.get(table_name)

diff --git a/docs/developer-center/guides/01-Introduction.md b/docs/developer-center/guides/01-Introduction.md
@@ -1,6 +1,6 @@
 ## Introduction
 
-Use these guides to learn about integrating CARTOframes into your data science workflows. Working inside of a Jupyter Notebook, the guides walk through initial set-up and installation, login to CARTO platform, reading data from CARTO into your Python session, writing data to your CARTO account, and the basics of visualizing your data on a map.
+Use these guides to learn about integrating CARTOframes into your data science workflows. Working inside of a Jupyter Notebook, the guides walk through installation, visualization, authentication, data enrichment and location data services.
 
 If you're already familiar with Jupyter Notebooks, you can also take a look to our [Notebook Examples](/developers/cartoframes/examples) for more detailed use cases.
 
@@ -9,31 +9,56 @@ If you're already familiar with Jupyter Notebooks, you can also take a look to o
 <div class="doc-guides__cartoframes-row">
   <div class="doc-guides__cartoframes-block">
     <span class="doc-guides__title">
-      <a href="/developers/cartoframes/guides/Install-CARTOframes-in-your-Notebooks/">Installation</a>
+      <a href="/developers/cartoframes/guides/Quickstart/">Quickstart</a>
     </span>
-    <p class="doc-guides__description">This guide walks you through the process of installing CARTOframes in a Jupyter Notebook</p>
+    <p class="doc-guides__description">Complete a real project that walks through the library step by step</p>
   </div>
 
   <div class="doc-guides__cartoframes-block">
     <span class="doc-guides__title">
-      <a href="/developers/cartoframes/guides/Login-to-CARTO-Platform/">Login into CARTO</a>
+      <a href="/developers/cartoframes/guides/Installation/">Installation</a>
     </span>
-    <p class="doc-guides__description">Learn how to authenticate against CARTO</p>
+    <p class="doc-guides__description">Install the library and configure your environment</p>
   </div>
 </div>
 
 <div class="doc-guides__cartoframes-row">
   <div class="doc-guides__cartoframes-block">
     <span class="doc-guides__title">
-      <a href="/developers/cartoframes/guides/Quickstart-Part-1/">Quickstart Part 1</a>
+      <a href="/developers/cartoframes/guides/Authentication/">Authentication</a>
     </span>
-    <p class="doc-guides__description">From import to first visualization</p>
+    <p class="doc-guides__description">Login into CARTO to unlock the power of spatial anlysis (data management, data enrichment, location data services, etc)</p>
   </div>
 
   <div class="doc-guides__cartoframes-block">
     <span class="doc-guides__title">
-      <a href="/developers/cartoframes/guides/Quickstart-Part-2/">Quickstart Part 2</a>
+      <a href="/developers/cartoframes/guides/Visualization/">Visualization</a>
     </span>
-    <p class="doc-guides__description">From analysis to share a visualization</p>
+    <p class="doc-guides__description">Explore and visualize your spatial data with interactive maps</p>
   </div>
-</div>
+</div>
+
+<div class="doc-guides__cartoframes-row">
+  <div class="doc-guides__cartoframes-block">
+    <span class="doc-guides__title">
+      <a href="/developers/cartoframes/guides/Data-discovery/">Data discovery</a>
+    </span>
+    <p class="doc-guides__description">Discover the spatial data you need searching the data catalog</p>
+  </div>
+
+  <div class="doc-guides__cartoframes-block">
+    <span class="doc-guides__title">
+      <a href="/developers/cartoframes/guides/Data-enrichment/">Data enrichment</a>
+    </span>
+    <p class="doc-guides__description">Enrich your data with data from the data catalog</p>
+  </div>
+</div>
+
+<div class="doc-guides__cartoframes-row">
+  <div class="doc-guides__cartoframes-block">
+    <span class="doc-guides__title">
+      <a href="/developers/cartoframes/guides/Location-Data-Services/">Location Data Services</a>
+    </span>
+    <p class="doc-guides__description">Geocode and discover areas of influence with Isolines</p>
+  </div>
+</div>
diff --git a/...-Install-CARTOframes-in-your-Notebooks.md → ...eveloper-center/guides/02-Installation.md b/...-Install-CARTOframes-in-your-Notebooks.md → ...eveloper-center/guides/02-Installation.md
@@ -1,27 +1,30 @@
-## Install CARTOframes in your Notebooks
+## Installation
 
 This guide is intended for those who are going to start using CARTOframes and gives some instructions to install CARTOframes **locally**, in a **Jupyter Notebook** and using a **Virtual Environment**.
 
 ### Install CARTOframes using `pip`
 
-It is possible to install CARTOframes with [`pip`](https://pypi.org/project/pip/) by simply typing the following in the command line to do a system install:
+It is possible to install CARTOframes with [`pip`](https://pypi.org/project/pip/) by simply typing one of the following commands to do a system install:
+
+To install the latest beta release, use the `--pre` flag:
 
 ```bash
-$ pip install cartoframes
+$ pip install cartoframes --pre
 ```
 
-To install a specific version, for example, let's say the 1.2.3 version:
+To install the latest stable version:
 
 ```bash
-$ pip install cartoframes==1.2.3
+$ pip install cartoframes
 ```
 
-To install a pre release, use the `--pre` flag:
+To install a specific version, for example, let's say the 1.0b6 version:
 
 ```bash
-$ pip install cartoframes --pre
+$ pip install cartoframes==1.0b6
 ```
 
+
 ### Install CARTOframes in a Jupyter Notebook
 
 In this documentation, all the examples are in a [Jupyter Notebook](https://jupyter.org/). It is recommended to read the [beginner documentation](https://jupyter-notebook-beginner-guide.readthedocs.io/en/latest/what_is_jupyter.html) to get familiar with Jupyter. To install through a Jupyter Notebook, run this command:

diff --git a/...nter/guides/03-Login-to-CARTO-Platform.md → ...eloper-center/guides/03-Authentication.md b/...nter/guides/03-Login-to-CARTO-Platform.md → ...eloper-center/guides/03-Authentication.md
@@ -1,10 +1,10 @@
-## Login to CARTO Platform
+## Authentication
 
 In this guide, our purpose is to focus on the basics of authentication in CARTOframes. There's a full [Authorization Fundamentals](https://carto.com/developers/fundamentals/authorization/) at CARTO guide to understand how to configure and manage API Keys.
 
-> To use CARTOframes is *not always* needed to be authenticated.
+> To visualize local data with CARTOframes is not needed to be authenticated.
 
-It is needed to set up the user credentials to use Data Services or the Data Observatory, between others. In these cases, it's required to have a [CARTO account](https://carto.com/signup/). Once the user has created an account, the credentials can be found at **http://johnsmith.carto.com/your_apps.** for user `johnsmith`, and it should be a **Master** API Key:
+It is needed to set up the user credentials to use Location Data Services, the Data Observatory or to save data and visualizations. In these cases, it's required to have a [CARTO account](https://carto.com/signup/). Once the user has created an account, the credentials can be found at **http://johnsmith.carto.com/your_apps.** for user `johnsmith`, and it should be a **Master** API Key:
 
 ![Master API Key - CARTO Dashboard](../../img/guides/credentials/api-keys.png)
 

diff --git a/docs/developer-center/guides/04-Quickstart-Part-1.md b/docs/developer-center/guides/04-Quickstart-Part-1.md