bobpoekert

def memory_info():
    res = {}
    for row in open('/proc/meminfo', 'r'):
        k, v = row.split(':')
        k = k.strip()
        v = v.split()
        if len(v) == 1:
            v = int(v[0])
        elif v[1] == 'kB':
            v = int(v[0]) * 1024

bobpoekert

1. train your model in keras in python
2. use serialize() to write the graph with parameters out to a file
3. use load-graph to load that file using the tensorflow java api

bobpoekert

'figure': 2.7995377623971058,
 'heading': 2.7494888513321079,
 'list': 2.8587943944205776,
 'paragraph': 2.9397276751874042,
 'table': 4.1352922428576822

bobpoekert

Bad Reasons to Start A Company

1. You want people to like you / want to be in charge of people / think you're a "leader"
2. You think you're smarter than everyone else
3. You think you have some technical "secret sauce" that no one else has and that this has intrinsic value
4. You think your PhD thesis is a product
5. Mummy and Daddy are giving you a seed round because they want to get you out of the house
6. You live in LA or New York and you're jealous of San Francisco
7. You heard that $fad (Big Data/IoT/Adtech/Fintech/whatever) was big

bobpoekert

Data structures:

Hash table mapping tokens -> <document-count, count-min-sketch(docuemnt id -> term count)>
Hash table mapping sketch indexes -> heap(<document id, term count dictionary> sorted by document id)

To search:

1. sum sketches for all terms in the query
2. find indexes of top k values in result sketch
3. look up actual document ids and term counts for those indexes

bobpoekert

var truthiness = function(obj) {
        /* ?P -> Boolean */
        switch(obj) {
            case 0:
            case false:
            case null:
            case undefined:
                return false;
            case true:
                return true;

bobpoekert

cgi-bin/php?-d+allow_url_include=on+-d+safe_mode=off+-d+suhosin.simulation=on+-d+disable_functions=""+-d+open_basedir=none+-d+auto_prepend_file=php://input+-d+cgi.force_redirect=0+-d+cgi.redirect_status_env=0+-d+auto_prepend_file=php://input+-n

bobpoekert

static PyObject *__pyx_pf_4test_fib(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_n) {
  PyObject *__pyx_v_SZ = NULL;
  PyObject *__pyx_v_i = NULL;
  PyObject *__pyx_v_a = NULL;
  PyObject *__pyx_v_b = NULL;
  PyObject *__pyx_v_t = NULL;
  PyObject *__pyx_r = NULL;
  __Pyx_RefNannyDeclarations
  PyObject *__pyx_t_1 = NULL;

bobpoekert

(defn parse-row
  [^String row]
  (let [[k v] (.split row \tab)
        [k1 k2] (map (partial string/join " ") (json/read-str k))]
    [k1 k2 (Long/parseLong (.trim v))]))

(defn co-occurrence
  [dir]
  (let [source (hfs-textline dir)]
    (<- [?k1 ?k2 ?count]

bobpoekert

from contextlib import contextmanager

@contextmanager
def binding(**pairs):
    g = globals()
    prev = dict((k, g[k]) for k in pairs.iterkeys() if k in g)
    g.update(pairs)
    try:
        yield
    finally: