diff --git a/README.md b/README.md
index 723500a..ed85e29 100644
--- a/README.md
+++ b/README.md
@@ -1,36 +1,20 @@
-# AlphaClean v0.1
+# AlphaClean v0.1 for Python3
+
 In many data science applications, data cleaning is effectively manual with ad-hoc, single-use scripts and programs.
 This practice is highly problematic for reproducibility (sharing analysis between researchers), interpretability (explaining the findings of a particular analysis), and scalability (replicating the analyses on larger corpora).
 Most existing relational data cleaning solutions are designed as stand-alone systems -- often coupled with a DBMS -- with poor support for languages widely in data science, such as Python and R.
 
-In order to address this problem, we designed a Python 2 library that declaratively synthesizes data cleaning programs. 
+In order to address this problem, we designed a Python 2 library that declaratively synthesizes data cleaning programs.
 AlphaClean is given a specification of quality (e.g. integrity constraints or a statistical model the data must conform to) and a language of allowed data transformations, then it searches to find a sequence of transformations that best satisfies the quality specification.
 The discovered sequence of transformations defines an intermediate representation, which can be easily transferred between languages or optimized with a compiler.
 
 ## Requirements
+
 As an initial research prototype, we have not yet designed AlphaClean for deployment. It is a package that researchers can locally develop and test to evaluate different data cleaning approaches and techniques. The dependencies are:
-```
-dateparser==0.6.0
-Distance==0.1.3
-numpy==1.12.1
-pandas==0.20.1
-pyparsing==2.2.0
-python-dateutil==2.6.0
-pytz==2017.2
-regex==2017.7.11
-ruamel.ordereddict==0.4.9
-ruamel.yaml==0.15.18
-scikit-learn==0.18.1
-scipy==0.19.0
-six==1.10.0
-gensim==2.2.0
-```
-These can be installed by running the following code from the command line:
-```
-pip install -r requirements.txt
-```
+    pip install -r requirements.txt
 
 ## Using the Package
+
 The docs folder contains a number of tutorials on how to use AlphaClean.
 
 0. [Getting Started](https://github.com/sjyk/alphaclean/blob/master/docs/00-GettingStarted.md)
@@ -38,4 +22,4 @@ The docs folder contains a number of tutorials on how to use AlphaClean.
 2. [Scaling Up](https://github.com/sjyk/alphaclean/blob/master/docs/02-Scaling.md)
 3. [External Knowledge](https://github.com/sjyk/alphaclean/blob/master/docs/03-ExternalInfo.md)
 4. [Basic Numerical Cleaning](https://github.com/sjyk/alphaclean/blob/master/docs/04-Numerical.md)
-5. [Advanced Numerical Cleaning](https://github.com/sjyk/alphaclean/blob/master/docs/05-AdvancedNumerical.md)
\ No newline at end of file
+5. [Advanced Numerical Cleaning](https://github.com/sjyk/alphaclean/blob/master/docs/05-AdvancedNumerical.md)
diff --git a/alphaclean/core.py b/alphaclean/core.py
index 7d3483f..bf990f3 100644
--- a/alphaclean/core.py
+++ b/alphaclean/core.py
@@ -9,8 +9,8 @@
 from sklearn.neighbors import BallTree
 import distance 
 from sklearn import tree
-from constraints import *
-from type_inference import *
+from .constraints import *
+from .type_inference import *
 
 
 class Dataset:
diff --git a/alphaclean/generators.py b/alphaclean/generators.py
index 8f4e3b5..e1fbee3 100644
--- a/alphaclean/generators.py
+++ b/alphaclean/generators.py
@@ -4,9 +4,9 @@
 """
 
 from itertools import combinations, product
-from ops import *
-from constraints import *
-from core import *
+from .ops import *
+from .constraints import *
+from .core import *
 import copy
 import string
 import logging
@@ -38,7 +38,9 @@ def getParameterGrid(self):
             if p[0] == ParametrizedOperation.COLUMN:
 
                 #remove one of the cols
-                origParam = copy.copy(orig)
+                # origParam = copy.deepcopy(list(orig.items()))
+                origParam = list(orig)
+                orig = list(orig)
                 orig.remove(p[0])
                 colParams = []
 
diff --git a/alphaclean/ops.py b/alphaclean/ops.py
index e6befa9..42e9dd0 100644
--- a/alphaclean/ops.py
+++ b/alphaclean/ops.py
@@ -3,7 +3,7 @@
 
 Operations define a monoid
 """
-from sets import Set
+
 from dateparser import DateDataParser
 import time
 import re
diff --git a/alphaclean/search.py b/alphaclean/search.py
index a9a3c50..12089d3 100644
--- a/alphaclean/search.py
+++ b/alphaclean/search.py
@@ -10,7 +10,7 @@
 import numpy as np
 import datetime
 
-from generators import *
+from .generators import *
 from heapq import *
 
 from alphaclean.learning import *
@@ -125,7 +125,7 @@ def solve(df, patterns=[], dependencies=[], partitionOn=None, config=DEFAULT_SOL
        
         op1, df = patternConstraints(df, patterns, config['pattern'])
 
-        op2, df = dependencyConstraints(df, dependencies, config['dependency'])
+        op2, df, _ = dependencyConstraints(df, dependencies, config['dependency'])
 
         op = op * (op1*op2)
 
diff --git a/requirements.txt b/requirements.txt
index be110f6..2ea51d7 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -1,21 +1,20 @@
-appdirs==1.4.3
-dateparser==0.6.0
-Distance==0.1.3
-numpy==1.12.1
-packaging==16.8
-pandas==0.20.1
-pip==9.0.1
-pyparsing==2.2.0
-python-dateutil==2.6.0
-pytz==2017.2
-regex==2017.7.11
-ruamel.ordereddict==0.4.9
-ruamel.yaml==0.15.18
-scikit-learn==0.18.1
-scipy==0.19.0
-setuptools==35.0.2
-six==1.10.0
-sklearn==0.0
-tzlocal==1.4
-wheel==0.30.0a0
-gensim==2.2.0
+appdirs
+dateparser
+Distance
+numpy
+packaging
+pandas
+pip
+pyparsing
+python-dateutil
+pytz
+regex
+ruamel.yaml
+scikit-learn
+scipy
+setuptools
+six
+sklearn
+tzlocal
+wheel
+gensim