minor readme edits (#289)

* more minor edits to readme

* revert

README.md

@@ -33,7 +33,7 @@ To create or setup a workspace with the assets used in these examples, run the [
 
 ## Getting started
 
-To get started, try the [introductory tutorial](tutorials/an-introduction). You'll accomplish:
+To get started, try the [introductory tutorial](tutorials/an-introduction). You will:
 
 - run a `"hello world"` job on cloud compute to demonstrate the basics
 - run a series of PyTorch training jobs on cloud compute to demonstrate mlflow tracking & using cloud data
@@ -52,14 +52,6 @@ A lightweight template repository for automating the ML lifecycle can be found [
 |`tutorials`|self-contained directories of end-to-end tutorials|
 |`workflows`|self-contained directories of job to be run, organized by scenario then tool then project|
 
-## Contributing
-
-We welcome contributions and suggestions! Please see the [contributing guidelines](CONTRIBUTING.md) for details.
-
-## Code of Conduct
-
-This project has adopted the [Microsoft Open Source Code of Conduct](https://opensource.microsoft.com/codeofconduct/). Please see the [code of conduct](CODE_OF_CONDUCT.md) for details.
-
 ## Examples
 
 **Tutorials**
@@ -102,6 +94,14 @@ path|compute|description
 [workflows/deploy/pytorch/mnist/job.py](workflows/deploy/pytorch/mnist/job.py)|unknown|deploy pytorch cnn model trained on mnist data to aks
 [workflows/deploy/scikit-learn/diabetes/job.py](workflows/deploy/scikit-learn/diabetes/job.py)|unknown|deploy sklearn ridge model trained on diabetes data to AKS
 
+## Contributing
+
+We welcome contributions and suggestions! Please see the [contributing guidelines](CONTRIBUTING.md) for details.
+
+## Code of Conduct
+
+This project has adopted the [Microsoft Open Source Code of Conduct](https://opensource.microsoft.com/codeofconduct/). Please see the [code of conduct](CODE_OF_CONDUCT.md) for details.
+
 ## Reference
 
 - [GitHub Template](https://github.com/Azure/azureml-template)

prefix.md

@@ -33,7 +33,7 @@ To create or setup a workspace with the assets used in these examples, run the [
 
 ## Getting started
 
-To get started, try the [introductory tutorial](tutorials/an-introduction). You'll accomplish:
+To get started, try the [introductory tutorial](tutorials/an-introduction). You will:
 
 - run a `"hello world"` job on cloud compute to demonstrate the basics
 - run a series of PyTorch training jobs on cloud compute to demonstrate mlflow tracking & using cloud data
@@ -52,12 +52,4 @@ A lightweight template repository for automating the ML lifecycle can be found [
 |`tutorials`|self-contained directories of end-to-end tutorials|
 |`workflows`|self-contained directories of job to be run, organized by scenario then tool then project|
 
-## Contributing
-
-We welcome contributions and suggestions! Please see the [contributing guidelines](CONTRIBUTING.md) for details.
-
-## Code of Conduct
-
-This project has adopted the [Microsoft Open Source Code of Conduct](https://opensource.microsoft.com/codeofconduct/). Please see the [code of conduct](CODE_OF_CONDUCT.md) for details.
-
 ## Examples

suffix.md

@@ -1,4 +1,12 @@
 
+## Contributing
+
+We welcome contributions and suggestions! Please see the [contributing guidelines](CONTRIBUTING.md) for details.
+
+## Code of Conduct
+
+This project has adopted the [Microsoft Open Source Code of Conduct](https://opensource.microsoft.com/codeofconduct/). Please see the [code of conduct](CODE_OF_CONDUCT.md) for details.
+
 ## Reference
 
 - [GitHub Template](https://github.com/Azure/azureml-template)

tutorials/using-dask/2.eds-at-scale.ipynb

@@ -479,4 +479,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 2
-}
+}