Daily use setup

(Connect to AWS)

(Get project on to AWS)

1. Start AWS instance

Description:

Steps:

Open terminal, get a 3 pane tmux session
- Split vertical
```
tmux
ctrl-b 
%
```
- Split horizontal
```
ctrl-b
"
```
- Navigate if need
```
ctrl-b
*arrows to navigate*
```
In the bottom right pane go to folder with course files in it, then into the setup folder /course/setup
Start the alias, which simplifies the AWS commands for us
```
source aws-alias.sh
```
See the list of alias commands and what they are doing behind the scenes. E.g.
```
alias
```
```
aws-get-t2
```
```
aws-get-p2
```
```
aws-start
```
```
aws-ip
```
```
aws-nb
```
```
aws-ssh
```
```
aws-stop
```
Start a t2 instance:
1. get t2
```
aws-get-t2
```
2. start
```
aws-start
```
  - If you have trouble at this step, go to aws.amazon.com and navigate to EC2, right click and start the instance you want. Then return to your bash window
3. get ip (copy for later)
```
aws-ip
```
4. start secure shell
```
aws-ssh
```
Start a notebook by copying the IP address you just printed and adding :8888 to the end in your browser (n.u.m.b.e.r.s:8888). The terminal/cygwin window will turn into a notebook status logger.
In terminal, go to top right pane to set up an ssh bash shell to the instance
```
ctrl-b "up arrow"
```
1. Navigate to your home course directory and to the course/setup folder
2. Activate the command aliases
```
source aws-alias.sh
```
3. Get that window to get the t2 details
```
aws-get-t2
```
4. Get the IP address
```
aws-ip
```
5. SSH in
```
aws-ssh
```

Clone the project repo

git clone https://github.com/breadley/learning_machine

To save any changes, go into learning_machine folder:

git add *
git commit -m 'message note'
git push origin master

Description:

Steps:

Clone the project repo

git clone https://github.com/breadley/learning_machine

To save any changes, go into learning_machine folder:

git add *
git commit -m 'message note'
git push origin master



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