Satish Pandey satishp962

## dialogflow-utils.js
const EventEmitter = require("events");
const {
  Transform,
  PassThrough,
  pipeline
} = require("stream");
const uuid = require("uuid");
const dialogflow = require("@google-cloud/dialogflow").v2beta1;
const structjson = require("structjson");
const WaveFile = require("wavefile").WaveFile;

## dialogflow-webhook-flask.py
# import flask modules
from flask import Flask, make_response, request, jsonify

# build the flask app
app = Flask(__name__)

# definition of the results function
def results():
    req = request.get_json(force=True)
    action = req.get('queryResult').get('action')

## matplotlib-basics.ipynb

      
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                satishp962
                / matplotlib-basics.ipynb
            
            
              Last active
              September 21, 2018 11:42
            
              
                Matplotlib basics code samples to get started with the 2D plotting in python
              
          
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## keras_prediction.py
import pandas as pd
from random import random

flow = (list(range(1,10,1)) + list(range(10,1,-1)))*100
pdata = pd.DataFrame({"a":flow, "b":flow})
pdata.b = pdata.b.shift(9)
data = pdata.iloc[10:] * random()  # some noise

import numpy as np

## OpenWithSublimeText3.bat
@echo off
SET st3Path=C:\Program Files\Sublime Text 3\sublime_text.exe

rem add it for all file types
@reg add "HKEY_CLASSES_ROOT\*\shell\Open with Sublime Text 3"         /t REG_SZ /v "" /d "Open with Sublime Text"   /f
@reg add "HKEY_CLASSES_ROOT\*\shell\Open with Sublime Text 3"         /t REG_EXPAND_SZ /v "Icon" /d "%st3Path%,0" /f
@reg add "HKEY_CLASSES_ROOT\*\shell\Open with Sublime Text 3\command" /t REG_SZ /v "" /d "%st3Path% \"%%1\"" /f

rem add it for folders
@reg add "HKEY_CLASSES_ROOT\Folder\shell\Open with Sublime Text 3"         /t REG_SZ /v "" /d "Open with Sublime Text"   /f
	const EventEmitter = require("events");
	const {
	Transform,
	PassThrough,
	pipeline
	} = require("stream");
	const uuid = require("uuid");
	const dialogflow = require("@google-cloud/dialogflow").v2beta1;
	const structjson = require("structjson");
	const WaveFile = require("wavefile").WaveFile;
	# import flask modules
	from flask import Flask, make_response, request, jsonify

	# build the flask app
	app = Flask(__name__)

	# definition of the results function
	def results():
	req = request.get_json(force=True)
	action = req.get('queryResult').get('action')
	import pandas as pd
	from random import random

	flow = (list(range(1,10,1)) + list(range(10,1,-1)))*100
	pdata = pd.DataFrame({"a":flow, "b":flow})
	pdata.b = pdata.b.shift(9)
	data = pdata.iloc[10:] * random() # some noise

	import numpy as np
	@echo off
	SET st3Path=C:\Program Files\Sublime Text 3\sublime_text.exe

	rem add it for all file types
	@reg add "HKEY_CLASSES_ROOT\*\shell\Open with Sublime Text 3" /t REG_SZ /v "" /d "Open with Sublime Text" /f
	@reg add "HKEY_CLASSES_ROOT\*\shell\Open with Sublime Text 3" /t REG_EXPAND_SZ /v "Icon" /d "%st3Path%,0" /f
	@reg add "HKEY_CLASSES_ROOT\*\shell\Open with Sublime Text 3\command" /t REG_SZ /v "" /d "%st3Path% \"%%1\"" /f

	rem add it for folders
	@reg add "HKEY_CLASSES_ROOT\Folder\shell\Open with Sublime Text 3" /t REG_SZ /v "" /d "Open with Sublime Text" /f