Zachary Sailer Zsailer

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I am zsailer on github.
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Managing your Jupyter development workflow

The following directions explain how to setup your Jupyter development environment. The goal is to isolate each one of your projects in their own "virtual environment" (a.k.a. conda environment), so you can easily switch between projects without contaminating your installations, dependencies, etc.

Table of Contents

Setup
Starting a project
Returning to a project
Helpful Commands

	import jsonschema

	import os
	import psutil

	import matplotlib.pyplot as plt

	schema = {
	"$id": "https://example.com/person.schema.json",
	"$schema": "https://json-schema.org/draft/2020-12/schema",

	import json

	from jupyter_server.extension.handler import ExtensionHandlerMixin
	from jupyter_server.base.handlers import APIHandler
	import tornado


	import asyncio

	async def doing_something():

	import pathlib

	from jupyter_core.paths import jupyter_config_path
	from traitlets.config.loader import (
	JSONFileConfigLoader
	)


	def configd_path(
	config_dir=None,

	import os
	from tornado import web, wsgi, httpserver, ioloop
	from wsgidav.wsgidav_app import WsgiDAVApp
	from webdav3.client import Client

	host = '127.0.0.1'
	port = 8081

	path = os.path.join(os.getcwd(), 'hubshare')

	matplotlib
	numpy
	altair