Update README.md

Author: alexandracota

README.md

@@ -1,73 +1,31 @@
 # Labelbox Python API
 
-Labelbox is the training data workbench for ML teams. It allows you to label
-data with the fastest and most intuitive annotation tools. Visit
-https://labelbox.com/ for more information.
+Labelbox is the enterprise-grade training data solution with fast AI enabled labeling tools, labeling automation, human workforce, data management, a powerful API for integration & SDK for extensibility. Visit http://labelbox.com/ for more information.
 
-The Labelbox Python API allows you to interact with Labelbox back-end in a
-simple, user-friendly way.
+The Labelbox Python API offers a simple, user-friendly way to interact with the Labelbox back-end.
 
 ## Requirements
 
-To use the Labelbox Python API you will need a Labelbox account. Once you login
-to the Labelbox web page, generate an API key as described in the documentation:
-https://labelbox.com/docs/api/api-keys. Store the key to a safe location. You
-will need it for using the Labelbox Python API.
+* Use Python 3.6 or 3.7.
+* Create an account by visiting http://app.labelbox.com/.
+* [Generate an API key](https://labelbox.com/docs/api/api-keys).
 
-## Installation
+## Installation & authentication
 
-Labelbox Python API can be installed using Python's Pip manager:
+1. Install using Python's Pip manager.
 ```
 pip install labelbox
 ```
 
-## Usage
-
-### API Key
-
-Your Labelbox API key is required to execute the library. It can be passed to
-Labelbox Python API via an environment variable `LABELBOX_API_KEY`. It is then
-automatically picked up by the `Client`:
-```
-from labelbox import Client
-client = Client() # will use the API key from the environment variable
+2. Pass your API key as an environment variable. Then, import and initialize the API Client.
 ```
+user@machine:~$ export LABELBOX_API_KEY="<your api key here>"
+user@machine:~$ python3
 
-Alternatively you can pass it to the `Client` object initialization:
-```
 from labelbox import Client
-client = Client("<your_api_key_here>")
-```
-
-### Basic commands
-
-The Labelbox Python API allows you to create, update and delete all standard
-Labelbox data types, such as Projects, Datasets, DataRows, Labels and others.
-For more info about the Labelbox data model please visit
-https://labelbox.com/docs.
-
-Here is an example code for uploading some data from scratch:
-```
-from labelbox import Client
-
 client = Client()
-
-# Create a project and a dataset , automatically reflected on the server
-project = client.create_project(name="My Great Project")
-dataset = client.create_dataset(name="My Dataset")
-project.datasets.connect(dataset)
-
-# Upload some files to the dataset
-task = dataset.create_data_rows(['file1.jpg', 'file2.jpg'])
-# Bulk DataRow creation might take a while on the server-side
-task.wait_till_done()
-
-# Your data is now uploaded to Labelbox and ready for labeling!
 ```
 
-### Documentation and API specification
+## Documentation
 
-Documentation for the Labelbox Python Client package can be found at
-https://labelbox.helpdocs.io/docs/python-api. The API documentation
-is available at
-https://labelbox.helpdocs.io/docs/python-api/api-reference.
+[Visit our docs](https://labelbox.com/docs/python-api) to learn how to [create a project](https://labelbox.com/docs/python-api/create-first-project), read through some helpful user guides, and view our [API reference](https://labelbox.com/docs/python-api/api-reference).