feat(CloudVolume): created minimal implementation

.gitignore

@@ -99,3 +99,7 @@ ENV/
 
 # mypy
 .mypy_cache/
+
+# OS X 
+.DS_Store
+

LICENSE

@@ -1,6 +1,6 @@
 BSD 3-Clause License
 
-Copyright (c) 2017, 
+Copyright (c) 2017, Ignacio Tartavull, William Silversmith, and later authors.
 All rights reserved.
 
 Redistribution and use in source and binary forms, with or without

README.md

@@ -1,2 +1,41 @@
 # cloud-volume
-Client for reading and writing to Neuroglancer Precomputed volumes on cloud services.
+
+Python client for reading and writing to Neuroglancer Precomputed volumes on cloud services. (https://github.com/google/neuroglancer/tree/master/src/neuroglancer/datasource/precomputed)
+
+When working with a particular dataset, say an EM scan of a mouse, fish, or fly brain, you'll typically store that as a grayscale data layer accessible to neuroglanger. You may store additional labellings and processing results as other layers.
+
+
+## Usage
+
+Supports reading and writing to neuroglancer data layers on Amazon S3, Google Storage, and the local file system.
+
+Supported URLs are of the forms:
+
+$PROTOCOL://$BUCKET/$DATASET/$LAYER  
+
+Supported Protocols:
+	- gs:   Google Storage
+	- s3:   Amazon S3
+	- file: Local File System (absolute path)
+
+
+```
+vol = CloudVolume('gs://mybucket/retina/image') # Basic Example
+image = vol[:,:,:] # Download the entire image stack into a numpy array
+vol[64:128, 64:128, 64:128] = image # Write a 64^3 image to the volume
+```
+
+## Setup
+
+```
+git clone [email protected]:seung-lab/cloud-volume.git
+cd cloud-volume
+virtualenv venv
+source venv/bin/activate
+pip install -r requirements.txt
+```
+
+
+
+
+