Coding4Sec

Coding4Sec / async_barchart_option_scraper.py

Created October 15, 2017 15:55 — forked from BlackArbsCEO/async_barchart_option_scraper.py

	import os
	import sys
	import pandas as pd
	import pandas_datareader.data as web
	import numpy as np
	import time
	import asyncio
	from fake_useragent import UserAgent
	'''set path variables'''
	project_dir = "YOUR/PROJECT/DIR"

Coding4Sec / 01-02.py

Created March 13, 2017 06:47 — forked from dimi-tree/01-02.py

Udacity: Machine Learning for Trading

	# Working with multiple stocks

	"""
	SPY is used for reference - it's the market
	Normalize by the first day's price to plot on "equal footing"
	"""

	import os
	import pandas as pd
	import matplotlib.pyplot as plt

Coding4Sec / useful_pandas_snippets.py

Created August 19, 2016 03:59 — forked from bsweger/useful_pandas_snippets.md

Useful Pandas Snippets

	# List unique values in a DataFrame column
	pd.unique(df.column_name.ravel())

	# Convert Series datatype to numeric, getting rid of any non-numeric values
	df['col'] = df['col'].astype(str).convert_objects(convert_numeric=True)

	# Grab DataFrame rows where column has certain values
	valuelist = ['value1', 'value2', 'value3']
	df = df[df.column.isin(valuelist)]

Coding4Sec / xlsxToR.r

Created February 13, 2016 08:17 — forked from schaunwheeler/xlsxToR.r

Import an xlsx file into R by parsing the file's XML structure.

	# The MIT License (MIT)
	#
	# Copyright (c) 2012 Schaun Jacob Wheeler
	#
	# Permission is hereby granted, free of charge, to any person obtaining a copy
	# of this software and associated documentation files (the "Software"), to deal
	# in the Software without restriction, including without limitation the rights
	# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
	# copies of the Software, and to permit persons to whom the Software is
	# furnished to do so, subject to the following conditions: