C# For Python Programmers

Syntax and core concepts

Single-line comments are started with //. Multi-line comments are started with /* and ended with */.
C# uses braces ({ and }) instead of indentation to organize code into blocks. If a block is a single line, the braces can be omitted. For example,

obinsc / install_caffe2_detectron.sh

Created April 24, 2018 21:16 — forked from matsui528/install_caffe2_detectron.sh

Install script of caffe2 and detectron on AWS EC2 instance with Deep Learning Base AMI

	# Install script of Caffe2 and Detectron on AWS EC2
	#
	# Tested environment:
	# - AMI: Deep Learning Base AMI (Ubuntu) Version 3.0 - ami-38c87440 (CUDA is already installed)
	# - Instance: p3.2xlarge (V100 * 1)
	# - Caffe2: https://github.com/caffe2/caffe2/commit/e1f614a5f8ae92f4ecb828e1d5f84d2cd1fe12bd
	# - Detectron: https://github.com/facebookresearch/Detectron/commit/a22302de27f9004422a96414ed4088d05c664978
	#
	# Usage:
	# Launch a fresh EC2 instance, put this script on the /home/ubuntu/, and run the following command.

obinsc / word2vec_tftut.py

Created September 9, 2017 03:59 — forked from aneesh-joshi/word2vec_tftut.py

	import tensorflow as tf
	import numpy as np

	corpus_raw = 'He is the king . The king is royal . She is the royal queen '

	# convert to lower case
	corpus_raw = corpus_raw.lower()

	words = []
	for word in corpus_raw.split():

obinsc / create_docker_container.sh

Created May 30, 2017 13:56 — forked from waichee/create_docker_container.sh

Steps to create a docker container with dependencies required for compiling Tensorflow Serving

	# Clone the Tensorflow Serving source
	git clone https://github.com/tensorflow/serving
	cd serving && git checkout <commit_hash>

	# Build the docker image (time to go get yourself a coffee, maybe a meal as well, this will take a while.)
	docker build -t some_user_namespace/tensorflow-serving:latest -f ./serving/tensorflow_serving/tools/docker/Dockerfile.devel .

	# Run up the Docker container in terminal
	docker run -ti some_user_namespace/tensorflow-serving:latest

obinsc / build_ts_serving_source.sh

Created May 30, 2017 13:54 — forked from waichee/build_ts_serving_source.sh

Code to Build Tensorflow Serving from source within a Docker container


	mkdir -p /work/

	# Clone the source from Github
	cd /work/ && git clone — recurse-submodules https://github.com/tensorflow/serving

	# Pin the version of Tensorflow Serving and its submodule
	TENSOR_SERVING_COMMIT_HASH=85db9d3
	TENSORFLOW_COMMIT_HASH=dbe5e17
	cd /work/serving && git checkout $TENSOR_SERVING_COMMIT_HASH

obinsc / wit-telegram-bot.js

Created May 24, 2016 21:47 — forked from dotcypress/wit-telegram-bot.js

How to build Telegram bot with Wit.ai Bot Engine


	// npm install telegraf telegraf-wit

	var Telegraf = require('telegraf')
	var TelegrafWit = require('telegraf-wit')

	var app = new Telegraf(process.env.BOT_TOKEN)
	var wit = new TelegrafWit(process.env.WIT_TOKEN)

	app.use(Telegraf.memorySession())

obinsc / gist:010bdb5cb188f7fd4c35837130268df8

Created April 22, 2016 08:00 — forked from tonymtz/gist:d75101d9bdf764c890ef

Uninstall nodejs from OSX Yosemite

	# first:
	lsbom -f -l -s -pf /var/db/receipts/org.nodejs.pkg.bom \| while read f; do sudo rm /usr/local/${f}; done
	sudo rm -rf /usr/local/lib/node /usr/local/lib/node_modules /var/db/receipts/org.nodejs.*

	# To recap, the best way (I've found) to completely uninstall node + npm is to do the following:

	# go to /usr/local/lib and delete any node and node_modules
	cd /usr/local/lib
	sudo rm -rf node*

obinsc / LDA_SparkDocs

Created November 17, 2015 07:56 — forked from jkbradley/LDA_SparkDocs

LDA Example: Modeling topics in the Spark documentation

	/*
	This example uses Scala. Please see the MLlib documentation for a Java example.

	Try running this code in the Spark shell. It may produce different topics each time (since LDA includes some randomization), but it should give topics similar to those listed above.

	This example is paired with a blog post on LDA in Spark: http://databricks.com/blog
	Spark: http://spark.apache.org/
	*/

	import scala.collection.mutable

obinsc / spark_read_csv.py

Last active August 29, 2015 14:23 — forked from lmatthieu/spark_read_csv.py

	from pyspark import SparkContext, SparkConf
	from pyspark.sql import HiveContext, SQLContext
	import pandas as pd

	# sc: Spark context
	# file_name: csv file_name
	# table_name: output table name
	# sep: csv file separator
	# infer_limit: pandas type inference nb rows
	def read_csv(sc, file_name, table_name, sep=",", infer_limit=10000):

obinsc / linkedin-query.py

Last active August 29, 2015 14:17 — forked from rvanbruggen/linkedin-query.py

	#!/usr/bin/env python
	# encoding: utf-8
	"""
	linkedin-query.py

	Created by Thomas Cabrol on 2012-12-03.
	Customised by Rik Van Bruggen
	Copyright (c) 2012 dataiku. All rights reserved.

	Building the LinkedIn Graph