add more examples for package isntallation

Author: yanancai

articles/hdinsight/spark/apache-spark-python-package-installation.md

@@ -69,12 +69,38 @@ HDInsight cluster depends on the built-in Python environment, both Python 2.7 an
 
     You can search the [package index](https://pypi.python.org/pypi) for the complete list of packages that are available. You can also get a list of available packages from other sources. For example, you can install packages made available through [conda-forge](https://conda-forge.org/feedstocks/).
 
-    -   `seaborn` is the package name that you would like to install.
-    -   `-n py35new` specify the virtual environment name that just gets created. Make sure to change the name correspondingly based on your virtual environment creation.
+    Use below command if you would like to isntall a library with its latest version:
+    
+    - Use conda channel:
 
-    ```bash
-    sudo /usr/bin/anaconda/bin/conda install seaborn -n py35new --yes
-    ```
+        -   `seaborn` is the package name that you would like to install.
+        -   `-n py35new` specify the virtual environment name that just gets created. Make sure to change the name correspondingly based on your virtual environment creation.
+
+        ```bash
+        sudo /usr/bin/anaconda/bin/conda install seaborn -n py35new --yes
+        ```
+
+    - Or use PyPi repo, change `seaborn` and `py35new` correspondingly:
+        ```bash
+        sudo /usr/bin/anaconda/env/py35new/bin/pip install seaborn
+        ```        
+
+    Use below command if you would like to install a library with a specific version:
+
+    - Use conda channel:
+
+        -   `numpy=1.16.1` is the package name and version that you would like to install.
+        -   `-n py35new` specify the virtual environment name that just gets created. Make sure to change the name correspondingly based on your virtual environment creation.
+
+        ```bash
+        sudo /usr/bin/anaconda/bin/conda install numpy=1.16.1 -n py35new --yes
+        ```
+
+    - Or use Pypi repo, change `numpy==1.16.1` and `py35new` correspondingly:
+
+        ```bash
+        sudo /usr/bin/anaconda/env/py35new/bin/pip install numpy==1.16.1
+        ```
 
     if you don't know the virtual environment name, you can SSH to the head node of the cluster and run `/usr/bin/anaconda/bin/conda info -e` to show all virtual environments.