Philip Martin pmart123

## string_template.py

from functools import wraps
from inspect import Parameter, Signature


# ----------------------------------------------------------
# Helper Regular Expression str builders
# ----------------------------------------------------------

## sqlalchemy_server_updated_at.py
from sqlalchemy import Column, event, TIMESTAMP
from sqlalchemy.sql.expression import FunctionElement
from sqlalchemy.schema import DDLElement, FetchedValue
from sqlalchemy.ext import compiler


# DDL to create set_updated_at_timestamp function
UPDATED_AT_DDL_STATEMENT = """\
CREATE OR REPLACE FUNCTION set_updated_at_timestamp()
RETURNS TRIGGER AS $$

## understanding-word-vectors.ipynb

      
              1 file
            
          
              0 forks
            
          
              0 comments
            
          
              0 stars
            
          
                pmart123
                / understanding-word-vectors.ipynb
            
            
              Created
              March 3, 2018 12:12
                — forked from aparrish/understanding-word-vectors.ipynb
            
              
                Understanding word vectors: A tutorial for "Reading and Writing Electronic Text," a class I teach at ITP. (Python 2.7) Code examples released under CC0 https://creativecommons.org/choose/zero/, other text released under CC BY 4.0 https://creativecommons.org/licenses/by/4.0/
              
          
      Sorry, something went wrong. Reload?
      Sorry, we cannot display this file.
      Sorry, this file is invalid so it cannot be displayed.
      
          Viewer requires iframe.
      
    
## sqlalchemy_views.py
from sqlalchemy import (DDL, event, Column, TEXT, select, func,
                        FLOAT, CHAR, DATE, Table, table, MetaData)
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.schema import CreateColumn
from sqlalchemy.sql.ddl import _CreateDropBase
from sqlalchemy.ext.compiler import compiles


class _View(Table):
    __visit_name__ = 'view'

## python_ideas_frozendict.py
"""
Proposal for implementing frozendict in stdlib to cleanup implementing code
that involves data mapping and conversions.
"""

from types import MappingProxyType

#####################################################
# Current way
#####################################################

## crm_example.py
# https://github.com/jasonjoh/python_tutorial/blob/master/tutorial/outlookservice.py#L89

import csv
import uuid

import requests

graph_endpoint = 'https://graph.microsoft.com/v1.0{0}'

def make_api_call(method, url, token, payload=None, parameters=None):

## contact_cleaner.py
from collections import namedtuple

import probablepeople as pp


ContactName = namedtuple('ContactName', 'first last')

sample_names = [
    ContactName('BOB', 'SMITH, JR'),
    ContactName('Robert P.', 'Kardashian, CFA, CAIA'),

	from functools import wraps
	from inspect import Parameter, Signature


	# ----------------------------------------------------------
	# Helper Regular Expression str builders
	# ----------------------------------------------------------
	from sqlalchemy import Column, event, TIMESTAMP
	from sqlalchemy.sql.expression import FunctionElement
	from sqlalchemy.schema import DDLElement, FetchedValue
	from sqlalchemy.ext import compiler


	# DDL to create set_updated_at_timestamp function
	UPDATED_AT_DDL_STATEMENT = """\
	CREATE OR REPLACE FUNCTION set_updated_at_timestamp()
	RETURNS TRIGGER AS $$
	from sqlalchemy import (DDL, event, Column, TEXT, select, func,
	FLOAT, CHAR, DATE, Table, table, MetaData)
	from sqlalchemy.ext.declarative import declarative_base
	from sqlalchemy.schema import CreateColumn
	from sqlalchemy.sql.ddl import _CreateDropBase
	from sqlalchemy.ext.compiler import compiles


	class _View(Table):
	__visit_name__ = 'view'
	"""
	Proposal for implementing frozendict in stdlib to cleanup implementing code
	that involves data mapping and conversions.
	"""

	from types import MappingProxyType

	#####################################################
	# Current way
	#####################################################
	# https://github.com/jasonjoh/python_tutorial/blob/master/tutorial/outlookservice.py#L89

	import csv
	import uuid

	import requests

	graph_endpoint = 'https://graph.microsoft.com/v1.0{0}'

	def make_api_call(method, url, token, payload=None, parameters=None):
	from collections import namedtuple

	import probablepeople as pp


	ContactName = namedtuple('ContactName', 'first last')

	sample_names = [
	ContactName('BOB', 'SMITH, JR'),
	ContactName('Robert P.', 'Kardashian, CFA, CAIA'),