Will Karnasiewicz wkarney

## simple_pickling_snippet.py
# Python pickling example:
import pickle

with open('pickledfile.pickle', 'wb') as f:
    pickle.dump(model, f, pickle.HIGHEST_PROTOCOL)

with open('pickledfile.pickle', 'rb') as f:
    model = pickle.load(f)

## va_dept_api_intro.py
# Import requests package
import requests

# API Key (request one at https://developer.va.gov/apply)
apikey = 'your-api-key-here'

# Typical request
url = 'https://dev-api.va.gov/services/va_facilities/v0/facilities/'

response = requests.get(

## infinite_scroll_scraping_selenium.py
from time import sleep
from selenium import webdriver
from bs4 import BeautifulSoup

# Headless/incognito Chrome driver
chrome_options = webdriver.ChromeOptions()
chrome_options.add_argument("--incognito")
chrome_options.add_argument('headless')
driver = webdriver.Chrome(executable_path='CHROMEDRIVER_PATH',chrome_options=chrome_options)

## standardize_column_names.py
import re
import string

def standardise_column_names(df, remove_punct=True):
    """ Converts all DataFrame column names to lower case replacing
    whitespace of any length with a single underscore. Can also strip
    all punctuation from column names.

    Parameters
    ----------

## py_setup.md

      
              1 file
            
          
              0 forks
            
          
              0 comments
            
          
              0 stars
            
          
                wkarney
                / py_setup.md
            
            
              Last active
              February 26, 2020 23:29
            
              
                [Python Environment] Python environment setup tips #python #shell #pyenv
              
          
    Homebrew

Update homebrew

brew upgrade && brew update
Pyenv Tips

How to show all available install versions?
pyenv install --list

  
## excel_pd_import.py
import pandas as pd

# Read in excel file and gathering sheet names
xls = pd.ExcelFile('file_path')
sheet_names = xls.sheet_names
sheet_names

for name in sheet_names:
	<df_name> = pd.read_excel('file_path', name)

## git-clearHistory
-- Remove the history from
rm -rf .git

-- recreate the repos from the current content only
git init
git add .
git commit -m "Initial commit"

-- push to the github remote repos ensuring you overwrite history
git remote add origin https://github.com/<YOUR ACCOUNT>/<YOUR REPO>.git
	# Python pickling example:
	import pickle

	with open('pickledfile.pickle', 'wb') as f:
	pickle.dump(model, f, pickle.HIGHEST_PROTOCOL)

	with open('pickledfile.pickle', 'rb') as f:
	model = pickle.load(f)
	# Import requests package
	import requests

	# API Key (request one at https://developer.va.gov/apply)
	apikey = 'your-api-key-here'

	# Typical request
	url = 'https://dev-api.va.gov/services/va_facilities/v0/facilities/'

	response = requests.get(
	from time import sleep
	from selenium import webdriver
	from bs4 import BeautifulSoup

	# Headless/incognito Chrome driver
	chrome_options = webdriver.ChromeOptions()
	chrome_options.add_argument("--incognito")
	chrome_options.add_argument('headless')
	driver = webdriver.Chrome(executable_path='CHROMEDRIVER_PATH',chrome_options=chrome_options)
	import re
	import string

	def standardise_column_names(df, remove_punct=True):
	""" Converts all DataFrame column names to lower case replacing
	whitespace of any length with a single underscore. Can also strip
	all punctuation from column names.

	Parameters
	----------
	import pandas as pd

	# Read in excel file and gathering sheet names
	xls = pd.ExcelFile('file_path')
	sheet_names = xls.sheet_names
	sheet_names

	for name in sheet_names:
	<df_name> = pd.read_excel('file_path', name)
	-- Remove the history from
	rm -rf .git

	-- recreate the repos from the current content only
	git init
	git add .
	git commit -m "Initial commit"

	-- push to the github remote repos ensuring you overwrite history
	git remote add origin https://github.com/<YOUR ACCOUNT>/<YOUR REPO>.git