adefossez

#!/usr/bin/env python3
# Author: Alexandre Défossez, 2020
# This is free and unencumbered software released into the public domain.
# For more information, please refer to <http://unlicense.org/>
"""
Merge multiple bibfiles, remove duplicates and unused references, matching bibtex entries
based on the 'title' field. Rewrite all the .tex files in the current directory
to reflect the elimination of duplicates.
Finally, this will rewrite all the arXiv references to use the @unpublished category.

unixpickle

Overview

In this document, I will describe how I managed to get unlimited stars and coins in the Android game "Lily's Garden". In short, here are the steps:

• Use the adb backup feature to extract all of the game's data
• Extract the Android backup into a tar file
• Modify the file which stores the number of coins and stars
• Re-sign the coins/stars field using a reverse-engineered HMAC key
• Convert the tar file back to an Android backup

c0nn3r

import re
import os
import glob
import pandas as pd

import matplotlib.pyplot as plt

from collections import OrderedDict

fig_size = [12, 9]

pca_animation.m

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Matlab code to produce PCA animations shown here:
% http://stats.stackexchange.com/questions/2691
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

% Static image

clear all
rng(42)

ramhiser

import pandas as pd
import numpy as np
from sklearn.feature_extraction import DictVectorizer
 
def encode_onehot(df, cols):
    """
    One-hot encoding is applied to columns specified in a pandas DataFrame.
    
    Modified from: https://gist.github.com/kljensen/5452382
    

hofmannsven

MySQL

Getting started

• http://www.sqlteaching.com/
• https://www.codecademy.com/learn/learn-sql
• https://www.codecademy.com/catalog/language/sql

Related tutorials

• MySQL-CLI
• Analyzing Business Metrics

jboner

Latency Comparison Numbers (~2012)
----------------------------------
L1 cache reference                           0.5 ns
Branch mispredict                            5   ns
L2 cache reference                           7   ns                      14x L1 cache
Mutex lock/unlock                           25   ns
Main memory reference                      100   ns                      20x L2 cache, 200x L1 cache
Compress 1K bytes with Zippy             3,000   ns        3 us
Send 1K bytes over 1 Gbps network       10,000   ns       10 us
Read 4K randomly from SSD*             150,000   ns      150 us          ~1GB/sec SSD