Updated readme.

README.md

@@ -1,13 +1,15 @@
 # **dpyp**
+*A convenience tool for small-scale data pipelines in Python*
 
 <p align = "center">
-  <img src = "logo/dpyp_logo.png" alt = "image" width = "300" height = "300">
+  <img src = "logo/dpyp_logo.png" alt = "image" width = "350" height = "350">
 </p>
 
 ## About
-- dpyp (data-pipe) is a pandas convenience wrapper for small-scale data pipelines.
-- PyPI: https://pypi.org/project/dpyp/
+PyPI: https://pypi.org/project/dpyp/
 
 ## Use
-- dpyp allows users to gather target files from directories into data dictionaries.
-- Users can then apply cleaning and transformation functions iteratively to dictionaries, making batch processing quick to write and highly readable.
+- Consists of six modules: 'calculate', 'clean', 'diagnose', 'read', 'text', and 'write'.
+- Designed for use in small-scale Python pipelines with an emphasis on batch-processing via 'data-dictionaries'.
+- Batch processing of data via dictionaries allows iterative functions to improve readability and ease of use.
+- Built using a combination of base Python and pandas for writing robust small-scale pipelines with text manipulation capabilities for parsing csv/json etc.

setup.py

@@ -3,7 +3,7 @@
 setup(
     name = 'dpyp',
     version = '1.0.0',
-    description = 'A pandas convenience wrapper for small-scale data pipelines',
+    description = 'A convenience tool for small-scale data pipelines in Python',
     author = 'James Buchanan',
     author_email = '[email protected]',
     license = 'MIT',