#Non-mathematical Introductions
- http://gcn.com/articles/2014/01/09/topographical-data-analysis.aspx
- https://www.simonsfoundation.org/quanta/20131004-the-mathematical-shape-of-things-to-come/
#Videos
#Non-mathematical Introductions
#Videos
class RunningStat(object): | |
""" | |
Based on ideas presented in | |
1. Numerically Stable, Single-Pass, Parallel Statistics Algorithms - http://www.janinebennett.org/index_files/ParallelStatisticsAlgorithms.pdf | |
2. Accurately computing running variance - http://www.johndcook.com/standard_deviation.html | |
""" | |
def __init__(self): | |
self.m_n = 0 | |
self.m_oldM = 0 |
[package] | |
name = "edge" | |
version = "0.1.0" | |
authors = ["J. Cliff Dyer <jcd@sdf.org>"] | |
[dependencies] | |
indradb = "0.12.0" | |
indradb-lib = "0.12.0" | |
serde_json = "*" | |
uuid = "*" |
let test_eval_basic_block_formula ctxt = | |
let open Bap.Std in | |
let open Bap_primus.Std in | |
let open Monads.Std in | |
let module Machine = struct | |
type 'a m = 'a | |
include Primus.Machine.Make(Monad.Ident) | |
end in |
# coding: utf-8 | |
# In[1]: | |
get_ipython().magic(u'pylab inline') | |
# In[3]: |
#include <android/log.h> | |
#include <jni.h> | |
#include <binder/Binder.h> | |
#include <binder/Parcel.h> | |
#include <binder/IServiceManager.h> | |
#include <dlfcn.h> | |
#include <stdio.h> | |
#include <stdlib.h> | |
#include <unistd.h> |
450c8b 9984 | |
fffe 998 | |
f783 998 | |
f304 998 | |
c60fac 998 | |
89c60fac 998 | |
848c 998 | |
46ff 998 | |
4220 998 | |
3d0508 998 |
0020a0e3 9990 | |
e10800a0 999 | |
9de509 999 | |
8de530 999 | |
54e2 999 | |
2930 999 | |
0c1094 999 | |
0be54430 999 | |
01007040 999 | |
ca 9982 |