gboeing

Set up geospatial scientific Python with Miniconda on Windows

Anaconda is an excellent, simple way to get Python up and running on your computer. But, it includes a lot of packages you'll never use but consume gigs and gigs of hard drive space. Instead, you can just install miniconda and then choose the individual packages you need. The steps below explain how to do this to set up a Python environment for geospatial data science. These steps are Windows-specific, but the same process works on Mac or Linux (just don't download the wheels from Gohlke - conda/pip install them directly). If you're having trouble, here are more detailed instructions on getting geopandas and geospatial Python up and running.

Install Miniconda

• Download the Miniconda for Python 3.5 installer
• Install miniconda to C:\Anaconda and set it as the system's default Python

karpathy

""" Trains an agent with (stochastic) Policy Gradients on Pong. Uses OpenAI Gym. """
import numpy as np
import cPickle as pickle
import gym

# hyperparameters
H = 200 # number of hidden layer neurons
batch_size = 10 # every how many episodes to do a param update?
learning_rate = 1e-4
gamma = 0.99 # discount factor for reward

fperez

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