diff --git a/README.md b/README.md
index 6a0f0acb..722f33a4 100644
--- a/README.md
+++ b/README.md
@@ -15,11 +15,10 @@ The Tensor class is a wrapper around a numpy array, except it does Tensor things
 ### Example
 
 ```python
-import numpy as np
 from tinygrad.tensor import Tensor
 
-x = Tensor(np.eye(3))
-y = Tensor(np.array([[2.0,0,-2.0]]))
+x = Tensor.eye(3)
+y = Tensor([[2.0,0,-2.0]])
 z = y.dot(x).sum()
 z.backward()
 
diff --git a/setup.py b/setup.py
index ce53a01c..7fff335f 100644
--- a/setup.py
+++ b/setup.py
@@ -8,7 +8,7 @@ with open(os.path.join(directory, 'README.md'), encoding='utf-8') as f:
   long_description = f.read()
 
 setup(name='tinygrad',
-      version='0.1.0',
+      version='0.2.0',
       description='You like pytorch? You like micrograd? You love tinygrad! heart',
       author='George Hotz',
       license='MIT',
diff --git a/tinygrad/tensor.py b/tinygrad/tensor.py
index f61f3db2..5e0e192d 100644
--- a/tinygrad/tensor.py
+++ b/tinygrad/tensor.py
@@ -8,6 +8,8 @@ import numpy as np
 class Tensor:
   def __init__(self, data):
     #print(type(data), data)
+    if type(data) == list:
+      data = np.array(data, dtype=np.float32)
     if type(data) != np.ndarray:
       print("error constructing tensor with %r" % data)
       assert(False)
@@ -35,6 +37,10 @@ class Tensor:
   def randn(*shape):
     return Tensor(np.random.randn(*shape).astype(np.float32))
 
+  @staticmethod
+  def eye(dim):
+    return Tensor(np.eye(dim).astype(np.float32))
+
   def backward(self, allow_fill=True):
     #print("running backward on", self)
     if self._ctx is None: