# Makefile for javascript react nextjs project
.PHONY: all install run dev test clean
all: install run
Relative Price Comparison Normalize cost of living data across cities: Convert all prices to USD. Use Numbeo or LivingCost.io as cross-references for validation. Create a price index (e.g. NYC = 100, others relative to that)
To create a relative price comparison using cost-of-living data across cities, you'll want to normalize, validate, and index your figures. Here’s how you can structure it:
- Collect Raw Cost Data
- From sources like Nomad List, scrape or extract the monthly cost of living per city (ensure it's per individual, and includes rent).
Disclaimer: The content provided in this article is the authors personal opinion and is for informational and entertainment purposes only and does not constitute financial, investment, or legal advice. Cryptocurrency investments carry significant risk, and readers should conduct their own research or consult with a qualified professional before making any financial decisions. The author may hold positions in the assets discussed.
agent: determine big money whale accumulation by looking at etf volume inflows and dark pool index vpoc
To gauge whale accumulation—that is, large-scale investors quietly building Bitcoin positions—you’re spot on to look at ETF inflows and dark pool activity, especially the Volume Point of Control (VPOC).
In the week leading up to June 18, 2025, U.S. spot Bitcoin ETFs saw eight straight days of net inflows, totaling $388 million on June 18 alone. BlackRock’s IBIT led the charge with **$279 mi
- Jay Alammar's GPT blog posts
- Andrej Karpathy's nanoGPT implementation
- Feature Learning
- Learning Feature Representations with K-means by Adam Coates and Andrew Y. Ng
- The devil is in the details: an evaluation of recent feature encoding methods by Chatfield et. al.
- Emergence of Object-Selective Features in Unsupervised Feature Learning by Coates, Ng
- Scaling Learning Algorithms towards AI Benjio & LeCun
- A Theory of Feature Learning by Brendan van Rooyen, Robert C. Williamson
- Deep Learning
- Dropout: A Simple Way to Prevent Neural Networks from Overfitting by Nitish Srivastava, Geoffrey Hinton, Alex Krizhevsky, Ilya Sutskever and Ruslan Salakhutdinov
- [Understanding
package main | |
import ( | |
// "errors" | |
"fmt" | |
"log" | |
"time" | |
// "sync" |
import 'package:flutter/material.dart'; | |
class GoogleMapsClonePage extends StatelessWidget { | |
@override | |
Widget build(BuildContext context) { | |
return Scaffold( | |
body: Stack( | |
children: <Widget>[ | |
CustomGoogleMap(), | |
CustomHeader(), |
``` | |
import 'dart:async'; | |
import 'package:rxdart/rxdart.dart'; | |
void main() { | |
var streamCtrl = PublishSubject<String>(); | |
streamCtrl.stream.listen(observer1); | |
streamCtrl.stream.listen(observer2); | |
action(streamCtrl.sink); | |
} |
{ | |
"AWSAccountActivityAccess": { | |
"Arn": "arn:aws:iam::aws:policy/AWSAccountActivityAccess", | |
"AttachmentCount": 0, | |
"CreateDate": "2015-02-06T18:41:18+00:00", | |
"DefaultVersionId": "v1", | |
"Document": { | |
"Statement": [ | |
{ | |
"Action": [ |
Golang repository pattern
https://threedots.tech/post/repository-pattern-in-go/
main.go
modules/
|- auth/
|- http/
|- handler.go