Update README.rst

Author: msm-sardar

README.rst

@@ -9,19 +9,19 @@ but realistic city and then used the optimization functionality to minimize the
 diversion target of 40%. Monte Carlo simulation was used to explore the robustness of the results to
 the uncertainty in input data.
 
-.. list-table:: Requirements
-   :widths: auto
+.. list-table:: **Requirements**
+   :widths: 25 25 50
    :header-rows: 1
 
-   * - Module 
+   * - Module
      - Version
      - Installation
-   * - swolfpy-inputdata 
-     - 0.2.0
+   * - swolfpy-inputdata
+     - `0.2.0 <https://pypi.org/project/swolfpy-inputdata/0.2.0/>`__
      - ``pip install swolfpy-inputdata==0.2.0``
    * - swolfpy-processmodels
-     - 0.1.5
-     -``pip install swolfpy-processmodels==0.1.5``
+     - `0.1.5 <https://pypi.org/project/swolfpy-processmodels/0.1.5/>`__
+     - ``pip install swolfpy-processmodels==0.1.5``
    * - swolfpy
-     - 0.2.1
+     - `0.2.1 <https://pypi.org/project/swolfpy/0.2.1/>`__
      - ``pip install swolfpy==0.2.1``