okomarov

class User(BaseModel, db.Model):
    __tablename__ = 'user'

    id = db.Column(db.Integer, primary_key=True)
    email = db.Column(db.String(120), unique=True, nullable=False)
    email_confirmed = db.Column(db.Boolean, default=False)
    email_confirmed_on = db.Column(db.DateTime(timezone=True))
    waitlist = db.relationship('Waitlist', uselist=False, back_populates='user')

    def __init__(self, email):

okomarov

def create_app():
    server = Flask(__name__)
    server.config.from_object(BaseConfig)

    from app.dashapp1.layout import layout as layout1
    from app.dashapp1.callbacks import register_callbacks as register_callbacks1
    register_dashapp(server, 'Dashapp 1', 'dashboard', layout1, register_callbacks1)

    from app.dashapp2.layout import layout as layout2
    from app.dashapp2.callbacks import register_callbacks as register_callbacks2

okomarov

from datetime import datetime as dt

import pandas_datareader as pdr
from dash.dependencies import Input
from dash.dependencies import Output


def register_callbacks(dashapp):
    @dashapp.callback(Output('my-graph', 'figure'), [Input('my-dropdown', 'value')])
    def update_graph(selected_dropdown_value):

okomarov

# Other dash and not related imports
# ...

# Import factory method
from app import create_app

# Method to protect dash views/routes
def protect_dashviews(dashapp):
    for view_func in dashapp.server.view_functions:
        if view_func.startswith(dashapp.url_base_pathname):

okomarov

from flask import Flask
from config import BaseConfig

def create_app():
    server = Flask(__name__)
    server.config.from_object(BaseConfig)

    register_extensions(server)
    register_blueprints(server)

okomarov

# Imports here
# ....

server_bp = Blueprint('main', __name__)

@server_bp.route('/')
def index():
    return render_template("index.html", title='Home Page')

@server_bp.route('/login', methods=['GET', 'POST'])

okomarov

%matplotlib notebook

import pandas_datareader as pdr
from sklearn.linear_model import LinearRegression 
from sklearn.metrics import mean_squared_error


# Download gold data (ETF)
gld = pdr.get_data_yahoo('GLD',start='1984-01-01')

okomarov

# memory footprint support libraries/code
!ln -sf /opt/bin/nvidia-smi /usr/bin/nvidia-smi
!pip install gputil
!pip install psutil
!pip install humanize

import psutil
import humanize
import os
import GPUtil as GPU

okomarov

% This file was created by matlab2tikz.
%
\documentclass[tikz]{standalone}
\usepackage{pgfplots}
\usepackage{grffile}
\pgfplotsset{compat=newest}
\usetikzlibrary{plotmarks}
\usepgfplotslibrary{patchplots}
\usepackage{amsmath}

okomarov

% This file was created by matlab2tikz.
%
\documentclass[tikz]{standalone}
\usepackage{pgfplots}
\usepackage{grffile}
\pgfplotsset{compat=newest}
\usetikzlibrary{plotmarks}
\usepgfplotslibrary{patchplots}
\usepackage{amsmath}