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import json

import dash
from dash.dependencies import Input, Output, State
import dash_core_components as dcc
import dash_html_components as html

import dash_cytoscape as cyto
from demos import dash_reusable_components as drc

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Disciplines of Data Science

• What is data science: https://www.youtube.com/watch?v=xC-c7E5PK0Y
• Computational Stats: https://www.coursera.org/specializations/statistics
• Software Development: https://www.youtube.com/watch?v=A4dXZkjWTg0
• Machine Learning: https://www.youtube.com/watch?v=HcqpanDadyQ
  • Statistical Learning
  • Deep Learning: https://www.youtube.com/watch?v=aircAruvnKk
  • Others (Trees, Boosting, etc.)
• Data visualization:
• Python: https://towardsdatascience.com/5-quick-and-easy-data-visualizations-in-python-with-code-a2284bae952f

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from inspect import signature


def curry(function):
    def helper(args, remain_count):
        if remain_count == 0:
            return function(*args)

        def mid_func(arg):
            return helper(args + [arg], remain_count - 1)

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import os

from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.common.keys import Keys


driver = webdriver.Chrome()

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import requests

import dash
import dash_html_components as html
import dash_cytoscape as cyto

app = dash.Dash(__name__)

# Request the data from the sample network
url = 'https://raw.githubusercontent.com/plotly/dash-cytoscape/master/demos/data/sample_network.txt'

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import requests

import dash
import dash_html_components as html
import dash_cytoscape as cyto

app = dash.Dash(__name__)

# Request the data from the sample network
url = 'https://raw.githubusercontent.com/plotly/dash-cytoscape/master/demos/data/sample_network.txt'

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Dash ML and CV Webinar: Accompanying Document

Link to the webinar: https://www.crowdcast.io/e/interactive

More about Dash

• Dash Gallery: https://dash.plot.ly/gallery
• Advanced Development, for your custom dash components: https://plot.ly/products/consulting-and-oem/
• Dash Deployment Server to deploy your enterprise apps: https://plot.ly/dash/pricing/
• Dash DAQ, for data acquisition in Python: https://www.dashdaq.io/
• Dash Open-Sourced Code: https://github.com/plotly/dash

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import os

# Replace with the name of your Dash app
# This will end up being part of the URL of your deployed app,
# so it can't contain any spaces, capitalizations, or special characters
#
# This name MUST match the name that you specified in the
# Dash App Manager
DASH_APP_NAME = 'dash-app-name'

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App Name

This is a demo of the Dash interactive Python framework developed by Plotly.

Dash abstracts away all of the technologies and protocols required to build an interactive web-based application and is a simple and effective way to bind a user interface around your Python code. To learn more check out our documentation.

Try out the [demo app here](link to the demo app).

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