Merge the rest of hsfs docs

docs/CONTRIBUTING.md

@@ -12,7 +12,7 @@
     pip install -e ".[dev]"
     ```
 
-- Install [pre-commit](https://pre-commit.com/) and then activate its hooks. pre-commit is a framework for managing and maintaining multi-language pre-commit hooks. The Feature Store uses pre-commit to ensure code-style and code formatting through [ruff](https://docs.astral.sh/ruff/). Run the following commands from the `python` directory:
+- Install [pre-commit](https://pre-commit.com/) and then activate its hooks. pre-commit is a framework for managing and maintaining multi-language pre-commit hooks. The library uses pre-commit to ensure code-style and code formatting through [ruff](https://docs.astral.sh/ruff/). Run the following commands from the `python` directory:
 
   ```bash
   cd python

docs/index.md

@@ -0,0 +1,130 @@
+# Hopsworks Client
+
+<p align="center">
+  <a href="https://community.hopsworks.ai"><img
+    src="https://img.shields.io/discourse/users?label=Hopsworks%20Community&server=https%3A%2F%2Fcommunity.hopsworks.ai"
+    alt="Hopsworks Community"
+  /></a>
+    <a href="https://docs.hopsworks.ai"><img
+    src="https://img.shields.io/badge/docs-HOPSWORKS-orange"
+    alt="Hopsworks Documentation"
+  /></a>
+  <a><img
+    src="https://img.shields.io/badge/python-3.8+-blue"
+    alt="python"
+  /></a>
+  <a href="https://pypi.org/project/hopsworks/"><img
+    src="https://img.shields.io/pypi/v/hopsworks?color=blue"
+    alt="PyPiStatus"
+  /></a>
+  <a href="https://pepy.tech/project/hopsworks/month"><img
+    src="https://pepy.tech/badge/hopsworks/month"
+    alt="Downloads"
+  /></a>
+  <a href=https://github.com/astral-sh/ruff><img
+    src="https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/astral-sh/ruff/main/assets/badge/v2.json"
+    alt="Ruff"
+  /></a>
+  <a><img
+    src="https://img.shields.io/pypi/l/hopsworks?color=green"
+    alt="License"
+  /></a>
+</p>
+
+*hopsworks* is the python API for interacting with a Hopsworks cluster. Don't have a Hopsworks cluster just yet? Register an account on [Hopsworks Serverless](https://app.hopsworks.ai/) and get started for free. Once connected to your project, you can:
+  - Insert dataframes into the online or offline Store, create training datasets or *serve real-time* feature vectors in the Feature Store via the [Feature Store API](https://github.com/logicalclocks/feature-store-api). Already have data somewhere you want to import, checkout our [Storage Connectors](https://docs.hopsworks.ai/latest/user_guides/fs/storage_connector/) documentation.
+  - register ML models in the model registry and *deploy* them via model serving via the [Machine Learning API](https://gitub.com/logicalclocks/machine-learning-api).
+  - manage environments, executions, kafka topics and more once you deploy your own Hopsworks cluster, either on-prem or in the cloud. Hopsworks is open-source and has its own [Community Edition](https://github.com/logicalclocks/hopsworks).
+
+Our [tutorials](https://github.com/logicalclocks/hopsworks-tutorials) cover a wide range of use cases and example of what *you* can build using Hopsworks.
+
+## Getting Started On Hopsworks
+
+Once you created a project on [Hopsworks Serverless](https://app.hopsworks.ai) and created a new [Api Key](https://docs.hopsworks.ai/latest/user_guides/projects/api_key/create_api_key/), just use your favourite virtualenv and package manager to install the library:
+
+```bash
+pip install hopsworks
+```
+
+Fire up a notebook and connect to your project, you will be prompted to enter your newly created API key:
+```python
+import hopsworks
+
+project = hopsworks.login()
+```
+
+Access the Feature Store of your project to use as a central repository for your feature data. Use *your* favourite data engineering library (pandas, polars, Spark, etc...) to insert data into the Feature Store, create training datasets or serve real-time feature vectors. Want to predict likelyhood of e-scooter accidents in real-time? Here's how you can do it:
+
+```python
+fs = project.get_feature_store()
+
+# Write to Feature Groups
+bike_ride_fg = fs.get_or_create_feature_group(
+  name="bike_rides", 
+  version=1, 
+  primary_key=["ride_id"], 
+  event_time="activation_time",
+  online_enabled=True,
+)
+
+fg.insert(bike_rides_df)
+
+# Read from Feature Views
+profile_fg = fs.get_feature_group("user_profile", version=1)
+
+bike_ride_fv = fs.get_or_create_feature_view(
+  name="bike_rides_view", 
+  version=1, 
+  query=bike_ride_fg.select_except(["ride_id"]).join(profile_fg.select(["age", "has_license"]), on="user_id")
+)
+
+bike_rides_Q1_2021_df = bike_ride_fv.get_batch_data(
+  start_date="2021-01-01", 
+  end_date="2021-01-31"
+)
+
+# Create a training dataset
+version, job = bike_ride_fv.create_train_test_split(
+    test_size=0.2,
+    description='Description of a dataset',
+    # you can have different data formats such as csv, tsv, tfrecord, parquet and others
+    data_format='csv'
+)
+
+# Predict the probability of accident in real-time using new data + context data
+bike_ride_fv.init_serving()
+
+while True:
+    new_ride_vector = poll_ride_queue()
+    feature_vector = bike_ride_fv.get_online_feature_vector(
+      {"user_id": new_ride_vector["user_id"]}, 
+      passed_features=new_ride_vector
+    )
+    accident_probability = model.predict(feature_vector)
+```
+
+Or you can use the Machine Learning API to register models and deploy them for serving:
+```python
+mr = project.get_model_registry()
+# or
+ms = project.get_model_serving()
+```
+
+## Tutorials
+
+Need more inspiration or want to learn more about the Hopsworks platform? Check out our [tutorials](https://github.com/logicalclocks/hopsworks-tutorials). 
+
+## Documentation
+
+Documentation is available at [Hopsworks Documentation](https://docs.hopsworks.ai/).
+
+## Issues
+
+For general questions about the usage of Hopsworks and the Feature Store please open a topic on [Hopsworks Community](https://community.hopsworks.ai/).
+
+Please report any issue using [Github issue tracking](https://github.com/logicalclocks/hopsworks-api/issues).
+
+## Contributing
+
+If you would like to contribute to this library, please see the [Contribution Guidelines](CONTRIBUTING.md).
+