rename org

Author: maxb94

readme.md

@@ -8,16 +8,16 @@ This version is specifically for python, however the ultimate goal is to make si
 
 - [Repository Structure](#repository-structure)
 - [How it works](#how-it-works)
-    - [Docker & Amazon Web Services (AWS)](#docker-&-amazon-web-services-aws)
-    - [Middleware Functions](#middleware-functions)
-    - [GitHub Actions](#github-actions)
+  - [Docker & Amazon Web Services (AWS)](#docker-&-amazon-web-services-aws)
+  - [Middleware Functions](#middleware-functions)
+  - [GitHub Actions](#github-actions)
 - [Pre-requisites](#pre-requisites)
 - [Usage](#usage)
-    - [Getting Started](#getting-started)
-    - [Best Practises](#best-practises)
-    - [Coding](#coding)
-    - [Testing](#testing)
-    - [Deployement](#deployment)
+  - [Getting Started](#getting-started)
+  - [Best Practises](#best-practises)
+  - [Coding](#coding)
+  - [Testing](#testing)
+  - [Deployement](#deployment)
 - [Contact](#contact)
 
 ## Repository Structure
@@ -43,7 +43,7 @@ app/
         handling.py # for checking functions in tools/ work
         validation.py # for checking schema.json works
         grading.py # for checking algorithm.py works
-    
+
     Dockerfile # for building whole image to deploy to AWS
 
 .github/
@@ -58,9 +58,9 @@ app/
 
 ### Docker & Amazon Web Services (AWS)
 
-The grading scripts are hosted AWS Lambda, using containers to run a docker image of the app. Docker is a popular tool in software development that allows programs to be hosted on any machine by bundling all its requirements and dependencies into a single file called an __image__.
+The grading scripts are hosted AWS Lambda, using containers to run a docker image of the app. Docker is a popular tool in software development that allows programs to be hosted on any machine by bundling all its requirements and dependencies into a single file called an **image**.
 
-Images are run within __containers__ on AWS, which give us a lot of flexibility over what programming language and packages/libraries can be used. For more information on Docker, read this [introduction to containerisation](https://www.freecodecamp.org/news/a-beginner-friendly-introduction-to-containers-vms-and-docker-79a9e3e119b/). To learn more about AWS Lambda, click [here](https://geekflare.com/aws-lambda-for-beginners/).
+Images are run within **containers** on AWS, which give us a lot of flexibility over what programming language and packages/libraries can be used. For more information on Docker, read this [introduction to containerisation](https://www.freecodecamp.org/news/a-beginner-friendly-introduction-to-containers-vms-and-docker-79a9e3e119b/). To learn more about AWS Lambda, click [here](https://geekflare.com/aws-lambda-for-beginners/).
 
 ### Middleware Functions
 
@@ -70,7 +70,7 @@ The code needed to build the image using all the middleware functions are availa
 
 ### GitHub Actions
 
-Whenever a commit is made to the GitHub repository, the new code will go through a pipeline, where it will be tested for syntax errors and code coverage. The pipeline used is called __GitHub Actions__ and the scripts for these can be found in `.github/workflows/`.
+Whenever a commit is made to the GitHub repository, the new code will go through a pipeline, where it will be tested for syntax errors and code coverage. The pipeline used is called **GitHub Actions** and the scripts for these can be found in `.github/workflows/`.
 
 On top of that, when starting a new grading script, you will have to complete a set of unit test scripts, which not only make sure your code is reliable, but also helps you to build a _specification_ for how the code should function before you start programming.
 
@@ -86,7 +86,7 @@ Although all programming can be done through the GitHub interface, it is recomme
 
 - A code editor such as Atom, VS Code, or Sublime.
 
-Copy this template over by clicking __Use this template__ button found in the repository on GitHub. Save it to the `Software-for-Maths-Learning` Organisation.
+Copy this template over by clicking **Use this template** button found in the repository on GitHub. Save it to the `lambda-feedback` Organisation.
 
 ## Usage
 
@@ -95,7 +95,7 @@ Copy this template over by clicking __Use this template__ button found in the re
 Begin by downloading the repository to your computer. This can be done either through GitHub Desktop or using the command:
 
 ```bash
-git clone git@github.com:Software-for-Maths-Learning/Grading-Script-Boilerplate.git
+git clone git@github.com:lambda-feedback/Grading-Script-Boilerplate.git
 ```
 
 Navigate into the repository folder and open `algorithm.py`. Inside is a boilerplate function called `grading_function()` which is called when a grading request is made.
@@ -123,4 +123,3 @@ An example unit test is in each file and for more information on using _unittest
 ### Deployment
 
 ## Contact
-