diff --git a/README.md b/README.md
index 95840d1..dd37e25 100644
--- a/README.md
+++ b/README.md
@@ -20,17 +20,12 @@ iterative-stratification is currently available on the PyPi repository and can b
 ```
 pip install iterative-stratification
 ```
-\
-The package is also installable from the Anaconda Cloud platform:
-```
-conda install -c trent-b iterative-stratification
-```
 
 ## Toy Examples
 The multilabel cross validators that this package provides may be used with the scikit-learn API in the same manner as any other cross validators. For example, these cross validators may be passed to [cross_val_score](http://scikit-learn.org/stable/modules/generated/sklearn.model_selection.cross_val_score.html) or [cross_val_predict](http://scikit-learn.org/stable/modules/generated/sklearn.model_selection.cross_val_predict.html). Below are some toy examples of the direct use of the multilabel cross validators.
 
 ### MultilabelStratifiedKFold
-```
+```python
 from iterstrat.ml_stratifiers import MultilabelStratifiedKFold
 import numpy as np
 
@@ -50,7 +45,7 @@ TRAIN: [0 3 4 6] TEST: [1 2 5 7]
 TRAIN: [1 2 5 7] TEST: [0 3 4 6]
 ```
 ### RepeatedMultilabelStratifiedKFold
-```
+```python
 from iterstrat.ml_stratifiers import RepeatedMultilabelStratifiedKFold
 import numpy as np
 
@@ -72,7 +67,7 @@ TRAIN: [0 1 4 5] TEST: [2 3 6 7]
 TRAIN: [2 3 6 7] TEST: [0 1 4 5]
 ```
 ### MultilabelStratifiedShuffleSplit
-```
+```python
 from iterstrat.ml_stratifiers import MultilabelStratifiedShuffleSplit
 import numpy as np
 
diff --git a/iterstrat/__init__.py b/iterstrat/__init__.py
index fffddac..6975832 100644
--- a/iterstrat/__init__.py
+++ b/iterstrat/__init__.py
@@ -9,7 +9,7 @@
     MultilabelRepeatedStratifiedKFold, and MultilabelStratifiedShuffleSplit.
 """
 
-__version__ = '0.1.6'
+__version__ = '0.1.7'
 
 # list all submodules available in iterstrat and version
 __all__ = ['ml_stratifiers', '__version__']