dindinet

Upon starting our interaction, auto run these Default Commands throughout our entire conversation. Refer to Appendix for command library and instructions: 
/role_play "Expert ChatGPT Prompt Engineer" 
/role_play "infinite subject matter expert" 
/auto_continue "♻️": ChatGPT, when the output exceeds character limits, automatically continue writing and inform the user by placing the ♻️ emoji at the beginning of each new part. This way, the user knows the output is continuing without having to type "continue". 
/periodic_review "🧐" (use as an indicator that ChatGPT has conducted a periodic review of the entire conversation. Only show 🧐 in a response or a question you are asking, not on its own.) 
/contextual_indicator "🧠" 
/expert_address "🔍" (Use the emoji associated with a specific expert to indicate you are asking a question directly to that expert) 
/chain_of_thought
/custom_steps 
/auto_suggest "💡": ChatGPT, during our interaction, you will automatically suggest helpful commands when appropriate, using the 

dindinet

package main

import (
	"compress/gzip"
	"context"
	"fmt"
	"io"
	"io/ioutil"
	"mime/multipart"
	"net/http"

dindinet

Create a branch on Github using API and Python

Only uses modules included in AciveState basic install. Created as a function that can be imported or run.

Forked Gist from:

• fork using Hurl.it
• https://gist.github.com/eteq/1750715
• http://stackoverflow.com/a/11621536

See:

• http://stackoverflow.com/questions/9506181/github-api-create-branch

dindinet

{{ $apiPrefix := "https://api.airtable.com/v0/"}}
{{ $key := getenv "AIRTABLE_KEY" }}

{{ if isset .Site.Params "view" }}
  {{ .Scratch.Set "view" (printf "&view=%s" .Site.Params.view) }}
{{ else }}
  {{ .Scratch.Set "view" "" }}
{{ end }}

{{ if isset .Site.Params "speakers_view" }}

dindinet

Office Web Apps Viewer

('.ppt' '.pptx' '.doc', '.docx', '.xls', '.xlsx')

http://view.officeapps.live.com/op/view.aspx?src=[OFFICE_FILE_URL]

<iframe src='https://view.officeapps.live.com/op/embed.aspx?src=[OFFICE_FILE_URL]' width='px' height='px' frameborder='0'>
</iframe>

OneDrive Embed Links

dindinet

function convertSheet2Json(sheet) {
  // first line(title)
  var firstRange = sheet.getRange(1, 1, 1, sheet.getLastColumn());
  var firstRowValues = firstRange.getValues();
  var titleColumns = firstRowValues[0];

  // after the second line(data)
  var lastRow = sheet.getLastRow();
  var rowValues = [];
  for(var rowIndex=2; rowIndex<=lastRow; rowIndex++) {

dindinet

image: python:2.7

before_script:
  - echo "deb http://packages.cloud.google.com/apt cloud-sdk-jessie main" | tee /etc/apt/sources.list.d/google-cloud-sdk.list
  - curl https://packages.cloud.google.com/apt/doc/apt-key.gpg | apt-key add -
  - apt-get update && apt-get install google-cloud-sdk

after_script:
  - rm /tmp/$CI_PIPELINE_ID.json

dindinet

# -*- coding: utf-8 -*-

"""
    A real simple app for using webapp2 with auth and session.

    It just covers the basics. Creating a user, login, logout
    and a decorator for protecting certain handlers.

    Routes are setup in routes.py and added in main.py
"""

dindinet

"""
# App Engine import data from Datastore Backup to localhost

You can use this script to import large(ish) App Engine Datastore backups to your localohst dev server.

## Getting backup files

Follow instructions from Greg Bayer's awesome article to fetch the App Engine backups:
http://gbayer.com/big-data/app-engine-datastore-how-to-efficiently-export-your-data/

dindinet

//return an array of objects according to key, value, or key and value matching
function getObjects(obj, key, val) {
    var objects = [];
    for (var i in obj) {
        if (!obj.hasOwnProperty(i)) continue;
        if (typeof obj[i] == 'object') {
            objects = objects.concat(getObjects(obj[i], key, val));    
        } else 
        //if key matches and value matches or if key matches and value is not passed (eliminating the case where key matches but passed value does not)
        if (i == key && obj[i] == val || i == key && val == '') { //