minor updates

Author: mpracy

Diff for: deploy_cloud_and_AWS_notes/AWS_deploy_notes.md

@@ -21,7 +21,7 @@ general there are two options:
 1) make all your code locally and move across when ready for deploying
 
 2) port map between your machine and the EC2 so you can code locally using jupyter or an 
-IDE but the project is synced to the EC2. In this case the python kernal will generally be on
+IDE but the project is synced to the EC2. In this case the python kernel will generally be on
 the EC2 as will the data. This can be a necessity if the data-set must be stored in the cloud.
 
 **I will make a separate document on connection and port forwarding for terminal users, with 
@@ -82,7 +82,7 @@ From the main EC2 dashboard menu:
 - Action Menu >> Manage IP >> Allocate an Elastic IP
 - On the new screen select: Allocate
 - This makes a new Static (Elastic) IP address
-- Action Menu >> Associate Elastic IP >> From the Pulldown menu select the appropriate EC2 >> Select Associate 
+- Action Menu >> Associate Elastic IP >> From the Pull-down menu select the appropriate EC2 >> Select Associate 
 
 The EC2 now has an IP address that will not change.
 

Diff for: deploy_cloud_and_AWS_notes/mike_notes_remote_python_project_virtual_env_pycharm_EC2.md

@@ -5,7 +5,7 @@
 - [if it does not yet exist] make a directory virtual_environments in the home directory of the EC2
 - [if not yet done] pip install virtualenv
 
-for each project make a new virutal environment:
+for each project make a new virtual environment:
 ```
 cd /home/ec2-user/virtual_environments
 
@@ -25,32 +25,32 @@ mkdir [the_project_name_or_similar]
 ## IN PYCHARM
 
 - \> preferences \> project_interpreter \> click the settings wheel and select "add" 
-- select ssh intepreter and fill out details for the host and username, e.g:
+- select ssh interpreter and fill out details for the host and username, e.g:
 ```
 host = the EC2 IP 
 
 user = 'ec2-user'
 ```
 - \> Next
-- give the path to the virtualenv execuatable e.g:
+- give the path to the virtualenv executable e.g:
  ```
 /home/ec2-user/virtual_environments/[project_venv_name]/bin/python
 ```
 - edit name and append easy to understand project name to virtual_env name
 - Apply and return to pycharm open screen
 
 ## Now in pycharm open screen create a new project
-- creat new project
-- Emter the project name
-- click the project intepreter tab
-- select existing intepreter
+- create new project
+- Enter the project name
+- click the project interpreter tab
+- select existing interpreter
 - click the 3 dots and select ssh interpreter
-- select the virtual_envrionment added above remote virtual env 
+- select the virtual_environment added above remote virtual env 
 
 ### Go to deployment tab in Pycharm
 Note we only want one top level deployment setup per EC2. So either create by adding EC2 IP etc 
 or select previously created deployment for that EC2
-- hit auto dectect root path (should be /home/ec2-user)
+- hit auto detect root path (should be /home/ec2-user)
 - go to mappings tab
 - add the project path (relative from root). e.g. /[project_directory_name]
 - check deployment options but defaults should be ok

Diff for: web_resource_links.md

@@ -1,6 +1,6 @@
 - Here are some links to resources and software mentioned:
 
-- Anaconda python instalation: https://www.anaconda.com/distribution/
+- Anaconda python installation: https://www.anaconda.com/distribution/
 
 - Bootstrap CSS: https://getbootstrap.com/ 
 

Diff for: workshop_intermediate_dashboard/intermediate_2.py

@@ -16,7 +16,8 @@
 ###################################################################################################
 
 parser = argparse.ArgumentParser()
-parser.add_argument("-p", "--port", type=int, help='If port is given than app is deployed on that port otherwise debug=True')
+parser.add_argument("-p", "--port", type=int,
+                    help='If port is given than app is deployed on that port otherwise debug=True')
 args = parser.parse_args()
 if args.port:
     rserver_args={"host":"0.0.0.0","port":args.port}