Project Overview
The jupyter_ops
project is a comprehensive tool with various extensions, including notebook exporters, intent exporters, and databases, available for cloning or downloading from the GitHub repository https://github.com/megamindbrian/jupyter_ops
. It can be used in multiple ways, including command line interface, marketing site intent.io
, Jupyter notebooks, and various languages using native imports, with results displayed in different formats such as output, console, or notebook.
but it has many extensions (i.e. notebook exporter,
intent exporter (i.e. language transpiler),
rpc interface,
various databases,
language support
simply clone or download
this notebook https://github.com/megamindbrian/jupyter_ops
and run or execute (i.e. command line,
using marketing site intent.io,
a jupyter notebook,
a multitude of languages using their native imports)
or display result (i.e. output,
console,
notebook display extension)
import os
import sys
from notebook.exporters import NotebookExporter
from intent.exporter import IntentExporter
from rpc.client import RPCClient
from database import Database
from language import Language
class Llama:
def __init__(self):
self.notebook_exporter = NotebookExporter()
self.intent_exporter = IntentExporter()
self.rpc_client = RPCClient()
self.database = Database()
self.language = Language()
def run(self):
if len(sys.argv) > 1:
if sys.argv[1] == 'notebook':
self.notebook_exporter.export()
elif sys.argv[1] == 'intent':
self.intent_exporter.transpile()
elif sys.argv[1] == 'rpc':
self.rpc_client.interact()
elif sys.argv[1] == 'database':
self.database.query()
elif sys.argv[1] == 'language':
self.language.translate()
else:
print('Please specify a command-line argument.')
def export_notebook(self, format):
self.notebook_exporter.export(format)
def transpile_intent(self, language):
self.intent_exporter.transpile(language)
def rpc(self, method, *args):
return self.rpc_client.call(method, *args)
def database(self, db_type):
return self.database.connect(db_type)
def language(self, lang):
return self.language.translate(lang)
if __name__ == '__main__':
llama = Llama()
llama.run()
This code is an excerpt from a documentation or instructions on how to use a project called jupyter_ops
.
https://github.com/megamindbrian/jupyter_ops
.intent.io