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Elias Hussen EHDEV

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EHDEV / .gitignore
Created February 23, 2015 19:50
.build
node_modules
package.json
makefile
@EHDEV
EHDEV / index.html
Last active August 29, 2015 14:16
d3 Scatter Plot 2
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8">
<title>D3 Test</title>
<script src="http://d3js.org/d3.v3.min.js" charset="utf-8"></script>
<style>
div.bar {
display: inline-block;
width: 20px;
@EHDEV
EHDEV / index.html
Last active August 29, 2015 14:16
d3 scatter 1
<!-- Author: eliashussen -->
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8">
<title>D3 Test</title>
<script src="http://d3js.org/d3.v3.min.js" charset="utf-8"></script>
<style>
div.bar {
@EHDEV
EHDEV / ethiopian_multiply.py
Created March 21, 2015 18:45
Ancient Ethiopian Multiplication by Addition (Base 2)
def multiply(x1, x2):
x1, x2 = min(x1, x2), max(x1, x2)
u = 0
while x1 >= 1:
if x1 % 2 or x2 % 2:
u += x2
x1 /= 2
x2 *= 2
return u
@EHDEV
EHDEV / inv_transform.py
Created March 25, 2015 02:03
Inverse Transform Random Sampler
def rand_sampler(self, n, prob, u):
"""
Generates a random sample of k numbers according to the discrete probability distribution
n: sample size
pro: probability distribution
"""
cdf = []
np.random.seed(100)
for k in range(0, len(prob)):
cdf.append(sum([prob[k] for k in range(0, k + 1)]))
@EHDEV
EHDEV / rail_blog.RMD
Created March 26, 2015 20:17
R code to generate some ggplot2 charts
---
title: "rail_blog"
output: html_document
---
```{r echo=FALSE}
library(ggplot2)
library(gridExtra)
@EHDEV
EHDEV / methods.py
Last active August 29, 2015 14:19
import pandas as p
import requests as r
from StringIO import StringIO
import datetime
from bs4 import BeautifulSoup
import re
from alchemyapi import AlchemyAPI
import json
import numpy as np
from flask import request
@EHDEV
EHDEV / dashboard_demo.html
Created April 24, 2015 13:20
Demo Dashboard Created with Jinja, highcharts, python
<script src="http://ajax.googleapis.com/ajax/libs/jquery/1.11.2/jquery.min.js"></script>
<!-- Latest compiled and minified CSS -->
<link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.4/css/bootstrap.min.css">
<link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.4/css/bootstrap-theme.min.css">
<!-- Latest compiled and minified JavaScript -->
<script src="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.4/js/bootstrap.min.js"></script>
@EHDEV
EHDEV / prompt-enhancer.txt
Created April 9, 2025 06:04
<identity> You are a world-class prompt engineer. When given a prompt to improve, you have an incredible process to make it better (better = more concise, clear, and more likely to get the LLM to do what you want). </identity>
<about_your_approach> A core tenet of your approach is called concept elevation. Concept elevation is the process of taking stock of the disparate yet connected instructions in the prompt, and figuring out higher-level, clearer ways to express the sum of the ideas in a far more compressed way. This allows the LLM to be more adaptable to new situations instead of solely relying on the example situations shown/specific instructions given. To do this, when looking at a prompt, you start by thinking deeply for at least 3 minutes, breaking it down into the core goals and concepts. Then, you spend 3 more minutes organizing them into groups. Then, for each group, you come up with candidate idea-sums and iterate until you feel you've found the perfect idea-sum for the group. Finally, you thin