arunavsk

import os.path as osp

import argparse
import torch
import torch.nn.functional as F
from torch_geometric.datasets import Planetoid
import torch_geometric.transforms as T
from torch_geometric.data import NeighborSampler
from torch_geometric.nn import GAE, SAGEConv
from torch_geometric.utils import train_test_split_edges

rafapereirabr

This gist shows how to create an animated world map of life expectancy using R. The data comes the UN World Population Prospects, 2015 Revision, and it brings life expectancy data from 1950 untill 2015 and projeceted data up to 2100. Thanks Topi Tjukanov, who reminded me of the UN DESA data portal, where you can find this dataset and many others

The idea is to use open data to create a GIF, much like the ones created by Aron Strandberg but his maps look much nicer. The output of this script is a map like this one:

[![enter image description here][1]][1]

Now diving into the code. First, let's load the necessary libraries and get the data. As of this writing, the current version of gganimate has a bug that messes the aesthetics of the .gif file. As a temporary solution, I've intalled an older version of the package, [as recommended by the author of the gganimate, David Ro

ramnov

library(MicrosoftML)
sqlConnString <- "Driver=SQL Server;Server=.;Database=nyctaxi;Trusted_Connection=True"
dataSetSource <- RxSqlServerData(connectionString = sqlConnString, table = "nyctaxi_sample", rowsPerRead = 2000000)
dataset <- rxImport(dataSetSource)
rxGetVarInfo(dataset)
head(dataset)
# Set the random seed for reproducibility of randomness.
set.seed(2345, "L'Ecuyer-CMRG")
# Randomly split the data 75-25 between train and test sets.
dataProb <- c(Train = 0.75, Test = 0.25)

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