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AlgoveraAI/ipfspy: A python library by Algovera to interact with IPFS and IPFS e ...

原作者: [db:作者] 来自: 网络 收藏 邀请

开源软件名称:

AlgoveraAI/ipfspy

开源软件地址:

https://github.com/AlgoveraAI/ipfspy

开源编程语言:

Jupyter Notebook 85.8%

开源软件介绍:

Welcome to Immerse by Algovera

A python library by Algovera to interact with IPFS and IPFS ecosystem such as the common pinning services

What is Immerse?

Immerse is a python library by Algovera to interact with IPFS and IPFS ecosystem such as the common pinning services. It is designed by data scientists for data scientists to interact with the IPFS ecosystem without leaving the comfort of python and jupyter notebook.

You can learn more about IPFS here

IPFS is built using the go-lang and javascript. With Immerse, you can interact with IPFS using the exposed HTTP RPC API.

You will need a local IPFS Node running to use the HTTP API (even when using Immerse). As an alternative, you can connect via the Infura's dedicated IPFS gateway. Immerse provide both ways to interact with IPFS.

Installing

to do: instructions on how to install library goes here

How to use

To adda file to IPFS, simply

from immerse import httpapi

url = get_coreurl()
response, json = add_items(url, "path/to/file")



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