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---
description: >-
Python library to privately & securely publish, exchange, and consume
data.
---
# Ocean.py
[Ocean.py](https://github.com/oceanprotocol/ocean.py) helps data scientists earn $ from their AI models, track provenance of data & compute, and get more data. (More details [here](../../data-science/README.md).)
Ocean.py makes these tasks easy:
Attention all data enthusiasts! Are you an inquisitive data scientist intrigued by the world of Web3 and blockchain, but unsure of where to begin? Have you developed a groundbreaking AI algorithm and desire to transform it into profitable success? Perhaps you're engaged in training a highly lucrative model (LLM) and seek to define precise licensing terms for your valuable data. Or maybe you simply wish to sell your data while maintaining utmost privacy and control.
* **Publish** data services: data feeds, REST APIs, downloadable files or compute-to-data. Create an ERC721 **data NFT** for each service, and ERC20 **datatoken** for access (1.0 datatokens to access).
* **Sell** datatokens via for a fixed price. Sell data NFTs.
* **Transfer** data NFTs & datatokens to another owner, and all other ERC721 & ERC20 actions using web3.
This is where ocean.py can help. It is a Python library for data scientists to privately & securely publish, exchange, and consume data. 🐙💦
As a Python library, Ocean.py is built for the key environment of data scientists. It that can simply be imported alongside other Python data science tools like numpy, matplotlib, scikit-learn and tensorflow.
<figure><img src="../../.gitbook/assets/components/ocean_py.png" alt="" width="375"><figcaption><p>ocean.py library</p></figcaption></figure>
### Overview
ocean.py lets you do the following things:
* Publish data services: downloadable files or compute-to-data. Create an ERC721 data NFT for each service, and ERC20 datatoken for access (1.0 datatokens to access).
* Sell datatokens via for a fixed price. Sell data NFTs.
* Transfer data NFTs & datatokens to another owner, and all other ERC721 & ERC20 actions using web3.
<figure><img src="../../.gitbook/assets/components/ocean_py.png" alt="" width="375"></figure>
### Quickstart 🚀
To kickstart your adventure with ocean.py, we set out the following steps to get you zooming ahead in no time!
1. [Install Ocean](install.md) 📥
2. Setup 🛠️ — [Remote ](remote-setup.md)(Win, MacOS, Linux) — or [Local ](local-setup.md)(Linux only)
2. Setup 🛠️
- [Remote ](remote-setup.md)(Win, MacOS, Linux)
- or [Local ](local-setup.md)(Linux only)
3. [Publish asset](publish-flow.md), post for free / for sale, dispense it / buy it, and [consume ](consume-flow.md)it
4. Run algorithms through [Compute-to-Data flow](compute-flow.md) using Ocean environment.