asdfgeoff

/* 
Render embeds inline in Live Preview mode
Source: https://gist.github.com/asdfgeoff/e6116873daa81ae92a6755af1d3c19e5
*/

/***********
BLOCK EMBEDS
************/

/* Make a bunch of block-level elements involved in embed display as inline */

asdfgeoff

import click
from pathlib import Path
from subprocess import call, check_output
from tqdm import tqdm

@click.command()
@click.argument('directory', type=click.Path(exists=True))
@click.option('--recursive', is_flag=True, help='Recursive')
@click.option('--file-ext', help='File format to process')
def main(directory, file_ext='mp4', recursive=False):

asdfgeoff

from typing import Callable, Union
import numpy as np
import pandas as pd
from sklearn.feature_extraction.text import CountVectorizer
from sklearn.utils.validation import check_X_y, check_array
from IPython.display import display

array_like = Union[list, np.ndarray]
matrix_like = Union[np.ndarray, pd.DataFrame]

asdfgeoff

from typing import Optional, Union
import numpy as np
import pandas as pd

from sklearn.linear_model import LinearRegression, LogisticRegression
from sklearn.base import BaseEstimator
from sklearn.utils.estimator_checks import check_estimator
from sklearn.utils.validation import check_X_y, check_array, check_is_fitted
from lightgbm import LGBMClassifier, LGBMRegressor

asdfgeoff

{%- extends 'full.tpl' -%}
// Source: http://damianavila.github.io/blog/posts/mimic-the-ipython-notebook-cell-execution.html

{% block input_group -%}/Users/geoffruddock/Library/Jupyter/nbconvert/templates
<div class="input_hidden">
{{ super() }}
</div>
{% endblock input_group %}

{%- block header -%}

asdfgeoff

import datetime as dt
from typing import List, Tuple
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import matplotlib.ticker as plticker
from scipy.stats import norm


plt.rcParams['figure.facecolor'] = 'white'

asdfgeoff

asdfgeoff

from airflow.operators.python_operator import PythonOperator


class SQLTemplatedPythonOperator(PythonOperator):
    """ Extend PythonOperator to receive a templated SQL query and also to display it in the "Rendered Template" tab in Airflow's UI.

    This is very helpful for troubleshooting specific task instances, since you can copy a propertly formatted query directly from
    the web UI rather than copying the contents of "templates_dict" and parsing it manually.

    Args:

asdfgeoff

Packages

• lxml - Pythonic binding for the C libraries libxml2 and libxslt.
• boto - Python interface to Amazon Web Services
• Django - Django is a high-level Python Web framework that encourages rapid development and clean, pragmatic design.
• Fabric - Library and command-line tool for streamlining the use of SSH for application deployment or systems administration task.
• PyMongo - Tools for working with MongoDB, and is the recommended way to work with MongoDB from Python.
• Celery - Task queue to distribute work across threads or machines.
• pytz - pytz brings the Olson tz database into Python. This library allows accurate and cross platform timezone calculations using Python 2.4 or higher.

Guides