AWS Lambda: Advanced Coding Session (slides)

Live demos:

bertomartin / boto3_getpolicy.py

Created August 20, 2017 03:53 — forked from alexcasalboni/boto3_getpolicy.py

AWS IAM Policy body with Python and boto3

	import boto3

	iam = boto3.resource('iam')

	def get_policy_body(arn, version_id=None):
	""" Return IAM Policy JSON body """
	if version_id:
	version = iam.PolicyVersion(arn, version_id)
	else:
	policy = iam.Policy(arn)

bertomartin / amazon-rekognition.md

Created August 20, 2017 03:52 — forked from alexcasalboni/amazon-rekognition.md

Amazon Rekognition - Python Code Samples

bertomartin / aws-lambda-demo1-restful-api.py

Created August 17, 2017 16:45 — forked from alexcasalboni/aws-lambda-demo1-restful-api.py

AWS Lambda Coding Session - clda.co/webinar-lambda

	def lambda_handler(event, context):
	name = event.get('name') or 'World'
	print("Name: %s" % name)
	return "Hello %s!" % name

bertomartin / deploy.sh

Created August 17, 2017 16:40 — forked from alexcasalboni/deploy.sh

Simple AWS Lambda deployment script - Zip & upload Deployment Package with initial dependencies to S3

	#!/bin/bash

	BUCKET="YOUR_BUCKET_NAME" # bucket name
	FILENAME="deployment-package.zip" # upload key
	TMP_FOLDER="/tmp/lambda-env-tmp/" # will be cleaned
	OUTPUT_FOLDER="/tmp/lambda-env/" # will be cleaned


	HERE=${BASH_SOURCE%/*} # relative path to this file's folder
	LAMBDA_FOLDER="$HERE/lambda/" # relative path

bertomartin / deep-wine-blog-GridSearched.ipynb

Created June 19, 2017 14:31 — forked from maxberggren/deep-wine-blog-GridSearched.ipynb

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bertomartin / from_sklearn.py

Created November 21, 2016 19:13 — forked from napjon/from_sklearn.py

Method to convert docs using sklearn to pyLDAVis

	def from_sklearn(docs,vect,lda,**kwargs):

	"""Create Prepared Data from sklearn's vectorizer and Latent Dirichlet
	Application

	Parameters
	----------
	docs : Pandas Series.
	Documents to be passed as an input.
	vect : Scikit-Learn Vectorizer (CountVectorizer,TfIdfVectorizer).

bertomartin / useful_pandas_snippets.py

Created November 16, 2016 15:57 — 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)]

bertomartin / Taxes Paid and Personal Income.ipynb

Created November 15, 2016 19:38 — forked from bsweger/Taxes Paid and Personal Income.ipynb

Federal Taxes by State

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bertomartin / tf-idf.py

Created September 9, 2016 19:57 — forked from michael-erasmus/tf-idf.py

Tf-idf example

	import os
	import math
	import re
	import pandas as pd
	from collections import Counter
	from sklearn.datasets import fetch_20newsgroups

	#get a subset of the dataset

	categories = [