diff --git a/__init__.py b/__init__.py
index 24a7fc9974fcf82f2fa055bfb29411e956eaa295..e4acf586f220c559e8e30401a7c5613c01ac3fa3 100644
--- a/__init__.py
+++ b/__init__.py
@@ -50,11 +50,15 @@ from nifty_paradict import space_paradict,\
                             point_space_paradict,\
                             nested_space_paradict
 
-from field_types import Field_type,\
-                        Field_array
+from field_types import FieldType,\
+                        FieldArray
 
 from operators import *
 
+from power import PowerSpace,\
+                  RGPowerSpace,\
+                  LMPowerSpace
+
 ## optional submodule `rg`
 try:
     from rg import rg_space,\
diff --git a/field_types/__init__.py b/field_types/__init__.py
index 18d88752560b68751c08cacddc2118d2b35ce822..80734f57ad9078da5b5e11ee92eb8a6249d8107f 100644
--- a/field_types/__init__.py
+++ b/field_types/__init__.py
@@ -1,4 +1,4 @@
 # -*- coding: utf-8 -*-
 
-from field_array import Field_type,\
-                        Field_array
\ No newline at end of file
+from field_array import FieldType,\
+                        FieldArray
\ No newline at end of file
diff --git a/field_types/base_field_type.py b/field_types/base_field_type.py
index 148f3c9a2bc3110f11314e9bad49f32a2eafe660..3cd8dbeaebc1187291bb25cde9ac8a494aef7628 100644
--- a/field_types/base_field_type.py
+++ b/field_types/base_field_type.py
@@ -3,7 +3,7 @@
 import numpy as np
 
 
-class Field_type(object):
+class FieldType(object):
     def __init__(self, shape, dtype):
         try:
             new_shape = tuple([int(i) for i in shape])
diff --git a/field_types/field_array.py b/field_types/field_array.py
index 952763544eeef1418dc74a763ae1db7cd1827f1e..c92f65916f66e86342b7dbe58eaf15200c3fcd65 100644
--- a/field_types/field_array.py
+++ b/field_types/field_array.py
@@ -1,9 +1,9 @@
 # -*- coding: utf-8 -*-
 
 
-from base_field_type import Field_type
+from base_field_type import FieldType
 
 
-class Field_array(Field_type):
+class FieldArray(FieldType):
     def dot_contraction(self, x, axes):
         return x.sum(axis=axes)