tbarbugli

SELECT  'SELECT SETVAL(' ||quote_literal(S.relname)|| ', MAX(' ||quote_ident(C.attname)|| ') ) FROM ' ||quote_ident(T.relname)|| ';'
FROM pg_class AS S, pg_depend AS D, pg_class AS T, pg_attribute AS C
WHERE S.relkind = 'S'
    AND S.oid = D.objid
    AND D.refobjid = T.oid
    AND D.refobjid = C.attrelid
    AND D.refobjsubid = C.attnum
ORDER BY S.relname;

tbarbugli

#root {
  background:linear-gradient(90deg, Red, Orange, Yellow, Green, Blue, Indigo,violet);
}

.str-video__video-placeholder {}

.str-video__participant-details {}

.str-video__participant-details__name {}

tbarbugli

How to build a notification feed using Stream

Introduction

In this tutorial we are going to show how easy it is to build a notification feed using GetStream.io. First of all, let's quickly introduce you to our fictional example app. It's called bug-your-friends.com and allows you interact with your friends, ping them, follow them or poke them. Here's a quick list of example interactions:

• poke another user (eg. Thierry pokes Alessandra)
• follow a user (eg. Tommaso follows Iris)
• ping a user (eg. Josie pings Carolina)

Whenever a user is part of one of these interactions, we want to update his notification feed, update the number of unseen and unread

tbarbugli

Build a scalable Twitter clone with Django and GetStream.io

In this tutorial we are going to build a Twitter clone using Django and GetStream.io, a hosted API for newsfeed development.

We will show you how easy is to power your newsfeeds with GetStream.io. For brevity we leave out some basic Django-specific code and recommend you refer you to the Github project for the complete runnable source code. At the end of this tutorial we will have a Django app with a profile feed, a timeline feed, support for following users, hashtags and mentions.

I assume that you are familiar with Django. If you're new to Django the [official tutorial] (https://docs.djangoproject.com/en/2.0/intro/) explains it very well.

tbarbugli

{
  "openapi": "3.0.0",
  "info": {
    "description": "Stream Analytics API",
    "version": "1.0.0",
    "title": "Stream Analytics",
    "contact": {
      "email": "support@getstream.io"
    }
  },

tbarbugli

from boto.utils import parse_ts
from django.core.files.storage import get_storage_class
from storages.backends.s3boto import S3BotoStorage

"""
make sure you have this setting
AWS_PRELOAD_METADATA = True
and that you have python-dateutils==1.5 installed
"""

tbarbugli

(function webpackUniversalModuleDefinition(root, factory) {
	if(typeof exports === 'object' && typeof module === 'object')
		module.exports = factory(require("React"));
	else if(typeof define === 'function' && define.amd)
		define(["React"], factory);
	else {
		var a = typeof exports === 'object' ? factory(require("React")) : factory(root["React"]);
		for(var i in a) (typeof exports === 'object' ? exports : root)[i] = a[i];
	}
})(window, function(__WEBPACK_EXTERNAL_MODULE_react__) {

tbarbugli

import stream

client = stream.connect(api_key, api_secret)
feed = client.feed('user', 'raji')

activity_adds = [a for a in feed.get(limit=100)['results'] if a['verb'] == 'add']

tbarbugli

Keybase proof

I hereby claim:

• I am tbarbugli on github.
• I am tbarbugli (https://keybase.io/tbarbugli) on keybase.
• I have a public key ASCmbtrXl-iWwYw0cN6pWX2vSq32qtDbRENwxD0h5m5LkQo

To claim this, I am signing this object:

tbarbugli

import random

random.seed(1)

l = []
for i in range(1, 10000):
    r = random.randint(1, 1000)
    append_sorted(l, r)
    print(l)