Install Packages in Anaconda

Power up the Anaconda prompt with Administrator privileges.

Activate the environment you need to install the package.

activate <your environment name>

then check in the anaconda repo that package is available or not

https://anaconda.org/anaconda/repo

most of the cases you can find the package and on that page, it will mention what is the command that you need to use to install. 

conda install --channel "anaconda" package

cheers enjoy ;)

Anconda Basics (Tensorflow keras installation in Windows)

Data science is one of the biggest buzz word in tech arena. "Tensorflow" is getting lots of interest and lots of people talking about it. This is simple stepping stone for your data science world exploration. 

First download the Anaconda 
https://www.anaconda.com/download/

select what ever the platform you like to get your hands dirty. 

open Anaconda prompt  as Administrator.

By default there is only one environment is created. "root". Anaconda allows us to create multiple environments with different python or R versions. That is one of the reasons Anaconda is being popular. 

put following command to create a new environment 

conda create -n testing python=3.5

This will install bunch of packages and python as we specified. When I am writing this Tensorflor has some problems with python 3.6 so better to install 3.5. after installation you will get some help about how to activate and deactivate environments. 

There are two ways of installing packages in Anaconda. first method is using command prompt and other one is Anaconda Navigator. 

Open Anaconda Navigator as administrator.

hit refresh button to see whether our newly created environment is created or not. 

select our newly created environment and click Environments in left hand side panel. 

Then you can see all the installed packages in that environment. select "All" from the drop down and search whatever the package that you want to install. 

Installing Tensorflow 

search Tensorflow in the search box. In this particular case Tensorflow have that green check box. That means that, Tensorflow is already installed in the environment. 

 search Tensorflow package and click Tensorflow. This will be indicated by little down side arrow.

click apply button at the bottom of the window. this will install all the required things for Tensorflow.

Testing Tensorflow

In Anaconda there are many editor options. "Spider" is one of the main editors in Anaconda. press install and then you can launch "Spider" by Anaconda.

type following command to test Tensorflow

import tensorflow as tf

hello = tf.constant('Hello, TensorFlow!')

sess = tf.Session()

print(sess.run(hello))

if you get the print statement. You are successfully install Tensorflow.  


Install Keras

Since we did Tensorflow installation in Anaconda Navigator, lets install Keras using command prompt. 

first run the Anaconda prompt as administrator and activate the environment. Otherwise it will installed in root environment. 

activate testing

 conda install mingw libpython

 conda install theano

 conda install --channel https://conda.anaconda.org/conda-forge keras

if you didn't get any errors you are good to go. 
open the spider editor and issue following command.

import tensorflow as tf

from keras import backend

print(backend._BACKEND)

hello = tf.constant('Hello, TensorFlow!')

sess = tf.Session()

print(sess.run(hello))

or you can use command prompt to test keras. 

python -c "from keras import backend; print(backend._BACKEND)"

Done ;) enjoy 

Visual Studio Not starting correctly

If you experience visual studio is not loading correctly and notify you about a package installation error or package load error

Please open an administrative CMD window and navigate to C:\Program Files (x86)\Microsoft Visual Studio 11.0\Common7\IDE and run these commands:

1.devenv.exe  /safemode

2.devenv.exe  /resetskippkgs

3.devenv.exe  /installvstemplates

4.devenv.exe  /resetsettings

5.devenv.exe  /resetuserdata

these commands are not related to each other so you can issue one command and check is the problem is solved or not. For my case

devenv.exe  /resetuserdata  This command restart the whole visual studio environment and you need to login to the developer account.

Reference :
link