Update READMEs with libpython and numpy-base

README.md

@@ -42,7 +42,7 @@ To install core utilities, CPU-based algorithms, and dependencies:
 
 1. Ensure software required for compilation and Python libraries is installed. On Linux this can be supported by adding:
 ```bash
-sudo apt-get install -y build-essential cmake libpython<version>
+sudo apt-get install -y build-essential libpython<version>
 ``` 
 where `<version>` should be `3.6` or `3.7` as appropriate.
 

SETUP.md

@@ -58,6 +58,8 @@ An alternative is to run all the recommender utilities directly from a local cop
 
 **NOTE** the `xlearn` package has dependency on `cmake`. If one uses the `xlearn` related notebooks or scripts, make sure `cmake` is installed in the system. The easiest way to install on Linux is with apt-get: `sudo apt-get install -y build-essential cmake`. Detailed instructions for installing `cmake` from source can be found [here](https://cmake.org/install/).
 
+**NOTE** the models from Cornac require installation of `libpython` i.e. using `sudo apt-get install -y libpython3.6` or `libpython3.7`, depending on the version of Python.
+
 **NOTE** PySpark v2.4.x requires Java version 8. 
 
 <details> 
@@ -368,7 +370,7 @@ See guidelines in the Docker [README](tools/docker/README.md) for detailed instr
 
 Example command to build and run Docker image with base CPU environment.
 ```{shell}
-DOCKER_BUILDKIT=1 docker build -t recommenders:cpu --build-arg ENV="cpu" .
+DOCKER_BUILDKIT=1 docker build -t recommenders:cpu --build-arg ENV="cpu" --build-arg VIRTUAL_ENV="conda" .
 docker run -p 8888:8888 -d recommenders:cpu
 ```
 

recommenders/README.md

@@ -7,8 +7,9 @@ This package contains functions to simplify common tasks used when developing an
 ## Pre-requisites
 Some dependencies require compilation during pip installation. On Linux this can be supported by adding build-essential dependencies:
 ```bash
-sudo apt-get install -y build-essential
-```
+sudo apt-get install -y build-essential libpython<version>
+``` 
+where `<version>` should be `3.6` or `3.7` as appropriate.
 
 On Windows you will need [Microsoft C++ Build Tools](https://visualstudio.microsoft.com/visual-cpp-build-tools/)
 
@@ -21,6 +22,11 @@ To install core utilities, CPU-based algorithms, and dependencies
 pip install --upgrade pip
 pip install recommenders
 ```
+In the case of conda, you also need to 
+```bash
+conda install numpy-base
+```
+after the pip installation.
 
 ## Optional Dependencies