Installing data science packages to vanilla python
as suggested by @DavidG, the following solution worked:
Download the whl file
use cmd window and go to the download folder and then install like below:
 
C:\Users\XXXXXXXX>cd C:\Users\XXXXXXXX\Documents\Python Packages
C:\Users\XXXXXXXX\Documents\Python Packages>pip install numpy-1.13.0+mkl-cp36-cp36m-win32.whl
Processing c:\users\XXXXXXXX\documents\python packages\numpy-1.13.0+mkl-cp36-cp
36m-win32.whl
Installing collected packages: numpy
  Found existing installation: numpy 1.13.0
    Uninstalling numpy-1.13.0:
      Successfully uninstalled numpy-1.13.0
Successfully installed numpy-1.13.0+mkl
C:\Users\XXXXXXXX\Documents\Python Packages>pip install scipy-0.19.1-cp36-cp36m
-win32.whl
Processing c:\users\XXXXXXXX\documents\python packages\scipy-0.19.1-cp36-cp36m-
win32.whl
Requirement already satisfied: numpy>=1.8.2 in c:\users\XXXXXXXX\appdata\local\
programs\python\python36-32\lib\site-packages (from scipy==0.19.1)
Installing collected packages: scipy
Successfully installed scipy-0.19.1
C:\Users\XXXXXXXX\Documents\Python Packages>
How to download necessary python packages for data analysis (e.g. pandas,scipy,numpy etc) and machine learning packages (sci-kit learn for starter, tensorflow for deeplearning if possible etc) without using github or anaconda?
Our client has permitted us to install python 3.6 and above (32-bit) in our terminals for data analysis and machine learning projects but we cannot access github due to security restrictions and also cannot download anaconda bundle.
Please provide suitable weblinks and instructions.