diff --git a/mnist_example.py b/mnist_example.py
index d1a98ff..7e8300f 100644
--- a/mnist_example.py
+++ b/mnist_example.py
@@ -1,7 +1,7 @@
 #!/usr/bin/env python3
 
 from onn import *
-from onn.floats import *
+from onn.float import *
 from dotmap import DotMap
 
 lower_priority()
diff --git a/onn/__init__.py b/onn/__init__.py
index 19d6020..437b3a9 100644
--- a/onn/__init__.py
+++ b/onn/__init__.py
@@ -5,20 +5,20 @@
 #           this is gonna take some work.
 
 from .activation import *
-from .floats import *
+from .float import *
 from .initialization import *
 from .layer import *
 from .learner import *
 from .loss import *
 from .math import *
 from .model import *
-from .nodes import *
+from .nodal import *
 from .optimizer import *
 from .parametric import *
 from .regularizer import *
 from .ritual import *
-from .util import *
-from .weights import *
+from .utility import *
+from .weight import *
 
 # this is similar to default behaviour of having no __all__ variable at all,
 # but ours ignores modules as well. this allows for `import sys` and such
diff --git a/onn/activation.py b/onn/activation.py
index 7bba491..f42165e 100644
--- a/onn/activation.py
+++ b/onn/activation.py
@@ -3,7 +3,7 @@ import numpy as np
 # just for speed, not strictly essential:
 from scipy.special import expit as sigmoid
 
-from .floats import *
+from .float import *
 from .layer_base import *
 
 class Identity(Layer):
diff --git a/onn/floats.py b/onn/float.py
similarity index 100%
rename from onn/floats.py
rename to onn/float.py
diff --git a/onn/layer.py b/onn/layer.py
index e1c9342..e3d33bc 100644
--- a/onn/layer.py
+++ b/onn/layer.py
@@ -1,6 +1,6 @@
 from .layer_base import *
 from .initialization import *
-from .floats import *
+from .float import *
 
 # Nonparametric Layers {{{1
 
diff --git a/onn/layer_base.py b/onn/layer_base.py
index a8cc253..1ef1781 100644
--- a/onn/layer_base.py
+++ b/onn/layer_base.py
@@ -2,7 +2,7 @@ import numpy as np
 
 from collections import defaultdict, OrderedDict
 
-from .weights import *
+from .weight import *
 
 # used for numbering layers like Keras:
 _layer_counters = defaultdict(lambda: 0)
diff --git a/onn/learner.py b/onn/learner.py
index f60dc99..148ab79 100644
--- a/onn/learner.py
+++ b/onn/learner.py
@@ -1,4 +1,4 @@
-from .floats import *
+from .float import *
 from .optimizer_base import *
 
 class Learner:
diff --git a/onn/loss.py b/onn/loss.py
index 94f8cb1..2faa309 100644
--- a/onn/loss.py
+++ b/onn/loss.py
@@ -1,6 +1,6 @@
 import numpy as np
 
-from .floats import *
+from .float import *
 
 class Loss:
     def forward(self, p, y):
diff --git a/onn/model.py b/onn/model.py
index bc5f68c..ddda277 100644
--- a/onn/model.py
+++ b/onn/model.py
@@ -1,8 +1,9 @@
 import sys
 
-from .floats import *
-from .nodes import *
+from .float import *
+from .nodal import *
 from .layer_base import *
+from .utility import *
 
 class Model:
     def __init__(self, nodes_in, nodes_out, loss=None, mloss=None, unsafe=False):
diff --git a/onn/nodes.py b/onn/nodal.py
similarity index 100%
rename from onn/nodes.py
rename to onn/nodal.py
diff --git a/onn/optimizer.py b/onn/optimizer.py
index 5a0e91c..370f794 100644
--- a/onn/optimizer.py
+++ b/onn/optimizer.py
@@ -1,7 +1,8 @@
 import numpy as np
 
-from .floats import *
+from .float import *
 from .optimizer_base import *
+from .utility import *
 
 # some of the the following optimizers are blatantly lifted from tiny-dnn:
 # https://github.com/tiny-dnn/tiny-dnn/blob/master/tiny_dnn/optimizers/optimizer.h
diff --git a/onn/optimizer_base.py b/onn/optimizer_base.py
index d7251c0..3a90f64 100644
--- a/onn/optimizer_base.py
+++ b/onn/optimizer_base.py
@@ -1,6 +1,6 @@
 import numpy as np
 
-from .floats import *
+from .float import *
 
 class Optimizer:
     def __init__(self, lr=0.1):
diff --git a/onn/parametric.py b/onn/parametric.py
index b1e6560..540b857 100644
--- a/onn/parametric.py
+++ b/onn/parametric.py
@@ -1,6 +1,6 @@
 import numpy as np
 
-from .floats import *
+from .float import *
 from .layer_base import *
 from .initialization import *
 
diff --git a/onn/regularizer.py b/onn/regularizer.py
index b8b1ac7..9a6aebf 100644
--- a/onn/regularizer.py
+++ b/onn/regularizer.py
@@ -1,6 +1,6 @@
 import numpy as np
 
-from .floats import *
+from .float import *
 
 class Regularizer:
     pass
diff --git a/onn/ritual.py b/onn/ritual.py
index 7499e6b..07b4dea 100644
--- a/onn/ritual.py
+++ b/onn/ritual.py
@@ -1,6 +1,6 @@
 import numpy as np
 
-from .floats import *
+from .float import *
 from .initialization import *
 from .ritual_base import *
 
diff --git a/onn/ritual_base.py b/onn/ritual_base.py
index 5362a3a..470a4f6 100644
--- a/onn/ritual_base.py
+++ b/onn/ritual_base.py
@@ -1,7 +1,7 @@
 import types
 import numpy as np
 
-from .floats import *
+from .float import *
 
 class Ritual: # i'm just making up names at this point.
     def __init__(self, learner=None):
diff --git a/onn/util.py b/onn/utility.py
similarity index 100%
rename from onn/util.py
rename to onn/utility.py
diff --git a/onn/weights.py b/onn/weight.py
similarity index 100%
rename from onn/weights.py
rename to onn/weight.py