Feature/update quickstart (#208)

* Add code download to quickstart

* Formatting

* Formatting

* Formatting

* Move example code files

.gitignore

@@ -103,4 +103,4 @@ ENV/
 .idea
 
 # Ignore examples/data
-examples/data
+/docs/_static/examples/data

docs/examples/quickstart.rst

@@ -8,7 +8,7 @@ Defining the Model
 
 Let's get using torchbearer. Here's some data from Cifar10 and a simple 3 layer strided CNN:
 
-.. literalinclude:: ../../examples/quickstart.py
+.. literalinclude:: /_static/examples/quickstart.py
    :language: python
    :lines: 7-45
 
@@ -18,7 +18,7 @@ Instead, with torchbearer, we can define our optimiser and some metrics (just 'a
 Training on Cifar10
 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
 
-.. literalinclude:: ../../examples/quickstart.py
+.. literalinclude:: /_static/examples/quickstart.py
    :lines: 47-53
 
 Running the above produces the following output:
@@ -46,4 +46,12 @@ Running the above produces the following output:
     8/10(t): 100%|██████████| 391/391 [00:01<00:00, 203.16it/s, running_acc=0.747, running_loss=0.736, acc=0.752, acc_std=0.432, loss=0.716, loss_std=0.0899]
     8/10(v): 100%|██████████| 79/79 [00:00<00:00, 221.55it/s, val_acc=0.679, val_acc_std=0.467, val_loss=0.923, val_loss_std=0.113]
     9/10(t): 100%|██████████| 391/391 [00:01<00:00, 213.23it/s, running_acc=0.756, running_loss=0.701, acc=0.759, acc_std=0.428, loss=0.695, loss_std=0.0915]
-    9/10(v): 100%|██████████| 79/79 [00:00<00:00, 245.33it/s, val_acc=0.676, val_acc_std=0.468, val_loss=0.951, val_loss_std=0.111]
+    9/10(v): 100%|██████████| 79/79 [00:00<00:00, 245.33it/s, val_acc=0.676, val_acc_std=0.468, val_loss=0.951, val_loss_std=0.111]
+
+Source Code
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+The source code for the example is given below:
+
+ :download:`Download Python source code: quickstart.py </_static/examples/quickstart.py>`
+