D. Rajeev. Reddy drreddy

## pixel.js
const postHogApiKey = "POSTHOG_API_KEY";
const postHogEndpoint = "https://app.posthog.com/capture";
const headers = {
  "Content-Type": "application/json",
};

// Customer information
const customer = init.data.customer;
const { id, email, firstName, lastName } = customer;
const fullName = `${firstName} ${lastName}`;

## normcore-llm.md

      
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                veekaybee
                / normcore-llm.md
            
            
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                Normcore LLM Reads
              
          
    Anti-hype LLM reading list

Goals: Add links that are reasonable and good explanations of how stuff works. No hype and no vendor content if possible. Practical first-hand accounts of models in prod eagerly sought.
Foundational Concepts


Pre-Transformer Models


## ga4-shopify-custom-pixel.js
// Step 1. Add and initialize your third-party JavaScript pixel (make sure to exclude HTML)
// Replace with you GA4 Tag
const TAG_ID = 'G-XXXXXXXXXX';

const script = document.createElement('script');
script.setAttribute('src', `https://www.googletagmanager.com/gtag/js?id=${TAG_ID}`);
script.setAttribute('async', '');
document.head.appendChild(script);

window.dataLayer = window.dataLayer || [];

## mixpanel-proxy-example.html
<html>
    <head>
        <title>Mixpanel Tracking Proxy Demo</title>
        <script type="text/javascript">
            /**
             * Configuration Variables - CHANGE THESE!
             */
            const MIXPANEL_PROJECT_TOKEN = YOUR_MIXPANEL_PROJECT_TOKEN; // e.g. "67e8bfdec29d84ab2d36ae18c57b8535"
            const MIXPANEL_PROXY_DOMAIN = YOUR_PROXY_DOMAIN; // e.g. "https://proxy-eoca2pin3q-uc.a.run.app"


## searchrecs.md

      
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              February 3, 2025 14:37
            
              
                Understanding search and recommendations
              
          
    How are search and recommendations the same, and how are they different?


Question on Mastodon
Question on Twitter

TL;DR:

The design of both search and recommendations is to find and filter information
Search is a "recommendation with a null query"
Search is "I want this", recommendations is "you might like this"


## mongo2.py
# FastAPI + MongoDB
# Option 2: Use a Single MongoClient.
from pymongo import MongoClient
from fastapi import FastAPI
import os
from typing import List

# Sample Movie Database from Atlas MongoDB
DB = "sample_mflix"
MSG_COLLECTION = "movies"

## benthos_eh_to_kafka_conf.yaml
input:
  kafka:
    addresses:
      - ${EVENTHUB_BOOTSTRAP_SERVER}
    topics: [${EVENTHUB_TOPIC}]
    tls:
      enabled: true
      skip_cert_verify: true
      root_cas_file: ""
      client_certs: []

## Druid basic-auth setup.md

      
              1 file
            
          
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                davidagee
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              April 2, 2024 09:54
            
              
                Setting up basic-auth roles and permissions in Druid
              
          
    Setting up basic auth users & permissions in Druid

Configuring Druid for basic-auth

Note: This gist does not cover enabling TLS for Druid. Remember that basic-auth is useless without TLS. The purpose of this guide is to set up users, roles and permissions for testing.

Add the basic-auth extension to Druid in the common.runtime.properties file, e.g. in conf-quickstart/druid/_common/common.runtime.properties:

druid.extensions.loadList=["druid-basic-security", "druid-histogram", "druid-datasketches", "druid-kafka-indexing-service", "imply-utility-belt"]


## Podcasts.md

      
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                versipellis
                / Podcasts.md
            
            
              Last active
              October 30, 2023 00:11
            
          
    Podcasts for Data Science & Stuff

I asked the Twittersphere for data science (& tangentially-related) podcasts recommendations, and got a much bigger response than I expected with some really superb recommendations, so I created a gist with the suggestions I received. They're arranged alphabetically by name below, along with relevant Twitter accounts, links, and names of the hosts (if I could find them).
Shoot me a tweet @bennyjtang if you have more suggestions to add to this list!
Original Twitter thread
Adversarial Learning


@Adversarial_L
Andrew Musselman, Joel Grus


## tensorflow-human-detection.py
# Code adapted from Tensorflow Object Detection Framework
# https://github.com/tensorflow/models/blob/master/research/object_detection/object_detection_tutorial.ipynb
# Tensorflow Object Detection Detector

import numpy as np
import tensorflow as tf
import cv2
import time
	const postHogApiKey = "POSTHOG_API_KEY";
	const postHogEndpoint = "https://app.posthog.com/capture";
	const headers = {
	"Content-Type": "application/json",
	};

	// Customer information
	const customer = init.data.customer;
	const { id, email, firstName, lastName } = customer;
	const fullName = `${firstName} ${lastName}`;
	// Step 1. Add and initialize your third-party JavaScript pixel (make sure to exclude HTML)
	// Replace with you GA4 Tag
	const TAG_ID = 'G-XXXXXXXXXX';

	const script = document.createElement('script');
	script.setAttribute('src', `https://www.googletagmanager.com/gtag/js?id=${TAG_ID}`);
	script.setAttribute('async', '');
	document.head.appendChild(script);

	window.dataLayer = window.dataLayer \|\| [];
	<html>
	<head>
	<title>Mixpanel Tracking Proxy Demo</title>
	<script type="text/javascript">
	/**
	* Configuration Variables - CHANGE THESE!
	*/
	const MIXPANEL_PROJECT_TOKEN = YOUR_MIXPANEL_PROJECT_TOKEN; // e.g. "67e8bfdec29d84ab2d36ae18c57b8535"
	const MIXPANEL_PROXY_DOMAIN = YOUR_PROXY_DOMAIN; // e.g. "https://proxy-eoca2pin3q-uc.a.run.app"
	# FastAPI + MongoDB
	# Option 2: Use a Single MongoClient.
	from pymongo import MongoClient
	from fastapi import FastAPI
	import os
	from typing import List

	# Sample Movie Database from Atlas MongoDB
	DB = "sample_mflix"
	MSG_COLLECTION = "movies"
	input:
	kafka:
	addresses:
	- ${EVENTHUB_BOOTSTRAP_SERVER}
	topics: [${EVENTHUB_TOPIC}]
	tls:
	enabled: true
	skip_cert_verify: true
	root_cas_file: ""
	client_certs: []
	# Code adapted from Tensorflow Object Detection Framework
	# https://github.com/tensorflow/models/blob/master/research/object_detection/object_detection_tutorial.ipynb
	# Tensorflow Object Detection Detector

	import numpy as np
	import tensorflow as tf
	import cv2
	import time