move python example higher

README.md

@@ -20,7 +20,7 @@
 
 ## 🐂 🌾
 
-Oxen makes versioning your datasets as easy as versioning your code.
+Oxen makes versioning your datasets as easy as versioning your code. If you are familiar with [git](https://git-scm.com/) you are off to the races with Oxen.
 
 ```bash
 oxen init
@@ -30,10 +30,17 @@ oxen config --set-remote origin https://hub.oxen.ai/ox/CatDogBoundingBox
 oxen push origin main
 ```
 
-Clone your data faster than ever before.
+Integrate via command line, or into your python workflow.
 
-```bash
-oxen clone https://hub.oxen.ai/ox/CatDogBoundingBox
+```python
+import oxen
+
+# Add and commit data to a repository, without downloading locally
+repo = oxen.RemoteRepo("ox/CatDogBBox")
+repo.create_branch("add-images")
+repo.checkout("add-images")
+repo.add("/path/to/new-dog.png", "images")
+repo.commit("Adding a new dog")
 ```
 
 # 📚 Developer Documentation
@@ -51,6 +58,7 @@ Oxen was optimized to be fast on structured and unstructured data types. Unlike
 * 📊 Native DataFrame processing ([oxen df](https://github.com/Oxen-AI/oxen-release/blob/main/DataFrames.md) command for data exploration)
 * 📈 Tracks changes over time (never worry about losing the state of your data)
 * 🤝 Collaborate with your team (sync to an oxen-server)
+* 🌎 [Remote Workspaces](https://docs.oxen.ai/concepts/remote-workspace) to interact with the data without downloading it
 * 👀 Better data visualization on [OxenHub](https://oxen.ai)
 
 # Why the name Oxen?
@@ -89,20 +97,6 @@ For other platforms follow the [installation instructions](https://github.com/Ox
 $ pip install oxenai
 ```
 
-All the same APIs that are exposed through the command line are also available in python. 
-
-```python
-import oxen
-
-repo = oxen.LocalRepo("path/to/repo")
-repo.clone("https://hub.oxen.ai/ox/CatDogBBox")
-
-repo.add("new-cat.png")
-repo.commit("Adding a new cat")
-
-repo.push()
-```
-
 # 🧑‍💻 OxenHub
 
 The shift to [Software 2.0](https://karpathy.medium.com/software-2-0-a64152b37c35) is happening where we are replacing lines with machine learning models and large datasets. Software is already complex, without the complexity of machine learning in the mix. We need better tooling to keep track of changes as data and models evolve over time.