Updated Installation.rst and index.md file in Getting Started documen…

…tation page

doc/source/getting_started/Installation.rst

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+############
+Installation
+############
+
+This section provides detailed information about installing ArviZ. Most ArviZ
+functionality is available with the basic requirements, but ArviZ also has optional
+dependencies to further enhance the library. This guide will cover both basic and fully-fledged ArviZ installs and several installation methods.
+
+ArviZ can be installed either using pip or conda-forge
+
+******
+Stable
+****** 
+
+Using pip
+=========
+
+.. code:: bash
+
+    pip install arviz
+
+Use the below pip command to install ArviZ with all of it's :ref:`Optional-dependencies`.
+
+.. code:: bash
+
+    pip install arviz[all]
+    
+Using conda-forge
+=================
+
+.. code:: bash
+
+    conda install -c conda-forge arviz
+
+***********
+Development
+*********** 
+
+If you want to install the latest development version of ArviZ, then you
+may use
+
+.. code:: bash
+
+    pip install git+https://github.com/arviz-devs/arviz
+
+ArviZ's functions work with NumPy arrays, dictionaries of arrays, xarray datasets, and has built-in support for `PyMC3 <https://docs.pymc.io/>`_,
+`PyStan <https://pystan.readthedocs.io/en/latest/>`_, `CmdStanPy <https://github.com/stan-dev/cmdstanpy>`_,
+`Pyro <http://pyro.ai/>`_, `NumPyro <http://num.pyro.ai/>`_,
+`emcee <https://emcee.readthedocs.io/en/stable/>`_, and
+`TensorFlow Probability <https://www.tensorflow.org/probability>`_ objects. Support for PyMC4, Edward2, and Edward are on the roadmap.
+
+A Julia wrapper, `ArviZ.jl <https://arviz-devs.github.io/ArviZ.jl/stable/>`_ is
+also available. It provides built-in support for
+`Turing.jl <https://turing.ml/dev/>`_, `CmdStan.jl
+<https://github.com/StanJulia/CmdStan.jl>`_, `StanSample.jl
+<https://github.com/StanJulia/StanSample.jl>`_ and `Stan.jl <https://github.com/StanJulia/Stan.jl>`_.
+
+************
+Dependencies
+************
+
+Required dependencies
+=====================
+
+The required dependencies for installing ArviZ are:
+
+.. literalinclude:: ../../../requirements.txt
+
+.. _Optional-dependencies:
+
+Optional dependencies
+=====================
+
+The list of optional dependencies to further enhance ArviZ are.
+
+.. literalinclude:: ../../../requirements-optional.txt
+
+
+- Numba
+
+  Necessary to speed up the code computation. The installation details can be found
+  `here <https://numba.pydata.org/numba-doc/latest/user/installing.html>`_. Further details on enhanced functionality provided in ArviZ by Numba can be 
+  `found here <https://arviz-devs.github.io/arviz/user_guide/Numba.html>`_.
+
+- Bokeh
+
+  Necessary for creating advanced interactive visualisations. The Bokeh installation guide can be found `over here <http://docs.bokeh.org/en/dev/docs/first_steps/installation.html>`_.
+
+- UltraJSON
+
+  If available, ArviZ makes use of faster ujson when ``arviz.from_json(filename)`` is
+  invoked. UltraJSON can be either installed via `pip <https://pypi.org/project/ujson/>`_ or `conda <https://anaconda.org/anaconda/ujson>`_.
+
+- Dask
+
+  Necessary to scale the packages and the surrounding ecosystem. The installation details can be found `at this link <https://docs.dask.org/en/latest/install.html>`_.
+
+
+
+

doc/source/getting_started/index.md

@@ -3,6 +3,7 @@
 # Getting Started
 
 ```{toctree}
+Installation
 Introduction
 XarrayforArviZ
 CreatingInferenceData