fix

docs/user_guides/projects/python/custom_commands.md

@@ -7,6 +7,10 @@ Some Python libraries require the installation of some OS-Level libraries. In so
 
 In this guide, you will learn how to run custom bash commands that can be used to add more complex configuration to your environment e.g., installing OS-Level packages or configuring an oracle database.
 
+## Prerequisites
+
+In order to install a custom dependency one of the base environments must first be cloned, follow [this guide](python_env_clone.md) for that.
+
 ## Running bash commands
 In this section, we will see how you can run custom bash commands in Hopsworks to configure your Python environment.
 

docs/user_guides/projects/python/environment_history.md

@@ -1,4 +1,4 @@
-# Python Environment History
+# Environment History
 Hopsworks comes with several prepackaged Python environments that contain libraries for data engineering, machine learning, and more general data science use-cases. Hopsworks also offers the ability to install additional packages from various sources, such as using the pip or conda package managers and public or private git repository.
 
 The Python virtual environment is shared by different members of the project. When a member of the project introduces a change to the environment i.e., installs/uninstalls a library, a new environment is created and it becomes a defacto environment for everyone in the project. It is therefore important to track how the environment has been changing over time i.e., what libraries were installed, uninstalled, upgraded, or downgraded when the environment was created and who introduced the changes. 

docs/user_guides/projects/python/python_env_clone.md

@@ -30,7 +30,7 @@ The environment can now be cloned by clicking `Clone env` and entering a name an
   </figure>
 </p>
 
-## Step 3: Created environment
+## Step 3: Environment is now ready
 
 <p align="center">
   <figure>

docs/user_guides/projects/python/python_env_export.md

@@ -12,7 +12,7 @@ Under the `Project settings` section you can find the `Python environment` setti
 
 ## Step 2: Select a CUSTOM environment
 
-Select the environment that you have previously cloned and want to export.
+Select the environment that you have previously cloned and want to export. Only a `CUSTOM` environment can be exported.
 
 ## Step 3: Click Export env
 

docs/user_guides/projects/python/python_install.md

@@ -2,7 +2,7 @@
 
 ## Introduction
 
-Hopsworks comes with several prepackaged Python environments that contain libraries for data engineering, machine learning, and more general data science use-cases. Hopsworks also offers the ability to install additional packages from various sources, such as using the pip or conda package managers and public or private git repository. In order to install a custom dependency one of the environments must first be cloned, follow [this guide](python_env_clone.md) for that.
+Hopsworks comes with several prepackaged Python environments that contain libraries for data engineering, machine learning, and more general data science use-cases. Hopsworks also offers the ability to install additional packages from various sources, such as using the pip or conda package managers and public or private git repository.
 
 In this guide, you will learn how to install Python packages using these different options.
 
@@ -16,6 +16,10 @@ In this guide, you will learn how to install Python packages using these differe
     If your libraries require installing some extra OS-Level packages, refer to the guide custom commands guide on how to install OS-Level packages.
 
 
+## Prerequisites
+
+In order to install a custom dependency one of the base environments must first be cloned, follow [this guide](python_env_clone.md) for that.
+
 ### Step 1: Go to environments page
 
 Under the `Project settings` section select the `Python environment` setting.

mkdocs.yml

@@ -150,7 +150,7 @@ nav:
               - Install Library: user_guides/projects/python/python_install.md
               - Export environment: user_guides/projects/python/python_env_export.md
               - Custom Commands: user_guides/projects/python/custom_commands.md
-              - Python Environment History: user_guides/projects/python/environment_history.md
+              - Environment History: user_guides/projects/python/environment_history.md
           - Jupyter:
               - Run Python Notebook: user_guides/projects/jupyter/python_notebook.md
               - Run PySpark Notebook: user_guides/projects/jupyter/spark_notebook.md