Fix for review

Author: SirOibaf

docs/user_guides/client_installation/index.md

@@ -5,11 +5,20 @@ description: Documentation on how to install the Hopsworks Python and Java libra
 
 ## Hopsworks Python library 
 
-The Hopsworks Python client library is required to connect to the Hopsworks Feature Store and MLOps services from your local machine or any other Python environment such as Google Colab or AWS Sagemaker. Execute the following command to install the Hopsworks client library in your Python environment:
+The Hopsworks Python client library is required to connect to Hopsworks from your local machine or any other Python environment such as Google Colab or AWS Sagemaker. Execute the following command to install the Hopsworks client library in your Python environment:
 
 !!! note "Virtual environment"
     It is recommended to use a virtual python environment instead of the system environment used by your operating system, in order to avoid any side effects regarding interfering dependencies.
 
+!!! attention "Windows/Conda Installation"
+
+    On Windows systems you might need to install twofish manually before installing hopsworks, if you don't have the Microsoft Visual C++ Build Tools installed. In that case, it is recommended to use a conda environment and run the following commands:
+    
+    ```bash
+    conda install twofish
+    pip install hopsworks[python]
+    ```
+
 ```bash
 pip install hopsworks[python]
 ```

docs/user_guides/integrations/databricks/api_key.md

@@ -24,7 +24,6 @@ For instructions on how to generate an API key follow this [user guide](../../pr
         port=443,                           # Port to reach your Hopsworks instance, defaults to 443
         project='my_project',               # Name of your Hopsworks Feature Store project
         api_key_value='apikey',             # The API key to authenticate with Hopsworks
-        hostname_verification=True          # Disable for self-signed certificates
     )
     fs = project.get_feature_store()           # Get the project's default feature store
 ```

docs/user_guides/integrations/databricks/configuration.md

@@ -90,36 +90,16 @@ When a cluster is configured for a specific project user, all the operations wit
 At the end of the configuration, Hopsworks will start the cluster.
 Once the cluster is running users can establish a connection to the Hopsworks Feature Store from Databricks:
 
-!!! note "API key on Azure"
-    Please note, for Azure it is necessary to store the Hopsworks API key locally on the cluster as a file. As we currently do not support storing the API key on an Azure Secret Management Service as we do for AWS. Consult the [API key guide for Azure](api_key.md#azure), for more information.
-
-=== "AWS"
-
-    ```python
-    import hopsworks 
-    project = hopsworks.connection(
-        'my_instance',                      # DNS of your Feature Store instance
-        443,                                # Port to reach your Hopsworks instance, defaults to 443
-        'my_project',                       # Name of your Hopsworks Feature Store project
-        api_key_value='apikey',             # The API key to authenticate with Hopsworks
-        hostname_verification=True         # Disable for self-signed certificates
-    )
-    fs = project.get_feature_store()           # Get the project's default feature store
-    ```
-
-=== "Azure"
-
-    ```python
-    import hopsworks 
-    project = hopsworks.connection(
-        'my_instance',                      # DNS of your Feature Store instance
-        443,                                # Port to reach your Hopsworks instance, defaults to 443
-        'my_project',                       # Name of your Hopsworks Feature Store project
-        api_key_value='apikey',             # The API key to authenticate with Hopsworks
-        hostname_verification=True          # Disable for self-signed certificates
-    )
-    fs = project.get_feature_store()           # Get the project's default feature store
-    ```
+```python
+import hopsworks 
+project = hopsworks.login(
+    host='my_instance',                 # DNS of your Hopsworks instance
+    port=443,                           # Port to reach your Hopsworks instance, defaults to 443
+    project='my_project',               # Name of your Hopsworks project
+    api_key_value='apikey',             # The API key to authenticate with Hopsworks
+)
+fs = project.get_feature_store()           # Get the project's default feature store
+```
 
 ## Next Steps
 

docs/user_guides/integrations/mlstudio_designer.md

@@ -1,6 +1,6 @@
 # Azure Machine Learning Designer Integration
 
-Connecting to the Hopsworks from the Azure Machine Learning Designer requires setting up a Hopsworks API key for the Designer and installing the **Hopsworks** Python library on the Designer. This guide explains step by step how to connect to the Feature Store from Azure Machine Learning Designer.
+Connecting to Hopsworks from the Azure Machine Learning Designer requires setting up a Hopsworks API key for the Designer and installing the **Hopsworks** Python library on the Designer. This guide explains step by step how to connect to the Feature Store from Azure Machine Learning Designer.
 
 !!! info "Network Connectivity"
 

docs/user_guides/integrations/mlstudio_notebooks.md

@@ -6,7 +6,7 @@ Connecting to the Hopsworks from Azure Machine Learning Notebooks requires setti
 
     To be able to connect to the Feature Store, please ensure that the Network Security Group of your Hopsworks instance on Azure is configured to allow incoming traffic from your compute target on ports 443, 9083 and 9085 (443,9083,9085). See [Network security groups](https://docs.microsoft.com/en-us/azure/virtual-network/network-security-groups-overview) for more information. If your compute target is not in the same VNet as your Hopsworks instance and the Hopsworks instance is not accessible from the internet then you will need to configure [Virtual Network Peering](https://docs.microsoft.com/en-us/azure/virtual-network/virtual-network-manage-peering).
 
-## Install Python Library
+## Install Hopsworks Python Library
 
 To be able to interact with Hopsworks from a Python environment you need to install the `Hopsworks` Python library. The library is available on [PyPi](https://pypi.org/project/hopsworks/) and can be installed using `pip`: