add some docs

docs/creating_env.rst

@@ -0,0 +1,33 @@
+Creating an environment
+===================================
+
+An environment can be created using the `mlspace create` command.
+
+For example, you can create a `torch` environment without GPU using:
+
+.. code-block:: bash
+
+    $ mlspace create --name name_of_your_env --backend torch
+
+
+and if you want to create an environment with GPU support, just add `--gpu` to the create command.
+
+
+.. code-block:: bash
+
+    $ mlspace create --name name_of_your_env --backend torch --gpu
+
+
+At any point, you can get help for a command using `--help`. E.g.
+
+.. code-block:: bash
+
+    $ mlspace create --help
+
+    usage: mlspace <command> [<args>] create [-h] --name NAME --backend {torch} [--gpu]
+
+    optional arguments:
+    -h, --help         show this help message and exit
+    --name NAME        Name of MLSpace
+    --backend {torch}  MLSpace backend
+    --gpu              Whether to use GPU

docs/index.rst

@@ -6,8 +6,40 @@
 Welcome to MLSpace!
 ===================================
 
+MLSpace is a no-hassle tool for data science, machine learning and deep learning.
+
+MLSpace has pre-made environments for pytorch, tensorflow and everything else you might need.
+All environments come with VSCode (code-server) and JupyterLab. You no longer need to care about CUDA/cuDNN versions!
+
+Setting up MLSpace is a three step process:
+   - installation
+   - set up
+   - create and run environments
+
+.. code-block:: bash
+   $ mlspace --help
+
+   usage: mlspace <command> [<args>]
+
+   positional arguments:
+   {create,setup,start,stop}
+                           commands
+      create              Create a new MLSpace
+      setup               Setup MLSpace and install all dependencies. Run with `sudo`
+      start               Start a new space
+      stop                Stop a running MLSpace instance
+
+   optional arguments:
+   -h, --help            show this help message and exit
+   --version, -v         Display MLSpace version
+
+   For more information about a command, run: `mlspace <command> --help`
+
 .. toctree::
    :maxdepth: 2
    :caption: Contents:
 
-   installation
+   installation
+   setting_up
+   creating_env
+   running_env

docs/installation.rst

@@ -10,3 +10,28 @@ If you already have `python` & `pip` installed on your system, you can just do:
 
     $ pip install -U mlspace
 
+
+If you do not have `python` and `pip` installed on your system, the first step would be to install them.
+
+.. code-block:: bash
+
+    $ sudo apt-get update
+    $ sudo apt-get install -y python3 python3-pip
+
+If you have multiple versions of python installed, you might want to update alternatives and point `python` 
+command to a particular version.
+
+
+.. code-block:: bash
+    $ sudo update-alternatives --install /usr/bin/python python /usr/bin/python3 1
+    $ sudo update-alternatives --install /usr/bin/pip pip /usr/bin/pip3 1
+
+
+NOTE: MLSpace will work with any python >= 3.5!
+
+Once `python` & `pip` are installed, you can now install `mlspace` using:
+
+
+.. code-block:: bash
+
+    $ pip install -U mlspace

docs/running_env.rst

@@ -0,0 +1,2 @@
+Running an environment
+===================================

docs/setting_up.rst

@@ -0,0 +1,10 @@
+Setup
+===================================
+
+To start the setup process run:
+
+.. code-block:: bash
+
+    $ mlspace setup
+
+Sit back, relax and let it install everything you will need :)