vladignatyev

def dict_to_redis_hset(r, hkey, dict_to_store):
    """
    Saves `dict_to_store` dict into Redis hash, where `hkey` is key of hash.

    >>> import redis
    >>> r = redis.StrictRedis(host='localhost')
    >>> d = {'a':1, 'b':7, 'foo':'bar'}
    >>> dict_to_redis_hset(r, 'test', d)
    True
    >>> r.hgetall('test')

vladignatyev

import enchant
import random

_EN_ALPHABET = map(chr, range(97, 123))
_NUMBERS = map(str, range(0, 9))


class Names(object):
    def __init__(self, character_set=tuple(_NUMBERS + _EN_ALPHABET)):
        self.characters = character_set

vladignatyev

# The MIT License (MIT)
# Copyright (c) 2016 Vladimir Ignatev
#
# Permission is hereby granted, free of charge, to any person obtaining 
# a copy of this software and associated documentation files (the "Software"), 
# to deal in the Software without restriction, including without limitation 
# the rights to use, copy, modify, merge, publish, distribute, sublicense, 
# and/or sell copies of the Software, and to permit persons to whom the Software 
# is furnished to do so, subject to the following conditions:
# 

vladignatyev

find . -mtime +7 -exec rm -rf {} \;

vladignatyev

Motivation

I was unable to install Emscripten following steps in official tutorial here: http://kripken.github.io/emscripten-site/docs/getting_started/downloads.html#sdk-download-and-install

I was getting these errors trying to run emcc:

`WARNING:root:LLVM version appears incorrect (seeing "7.0", expected "3.7")`
`WARNING:root:could not check fastcomp: [Errno 2] No such file or directory`
`CRITICAL:root:Cannot find /usr/bin/llvm-link, check the paths in ~/.emscripten` 

vladignatyev

//
//  APAnalyticsTracker.h

#import <Foundation/Foundation.h>

@interface APAnalyticsTracker : NSObject

+ (void)configureTracker;
+ (void)trackScreenWithName: (NSString*) name;

vladignatyev

#!/env/bin/python
# See: http://stackoverflow.com/questions/41893967/increase-in-memory-usage-on-pandas-dataframe-creation/42000635
import sys
import pandas as pd
import gc

# @profile  ## uncomment this line if you want to profile with memory-profiler Python's module
def make_list():
    pd_arr = []
    for i in range(0,10000):

vladignatyev

package com.github.kotlin.lib

import android.content.Context
import android.view.LayoutInflater
import android.view.View
import android.view.ViewGroup
import android.widget.ArrayAdapter
import butterknife.ButterKnife

vladignatyev

console.log("CPU/OS: " + navigator.oscpu);
console.log("Cores count: " + navigator.hardwareConcurrency);
console.log("RAM: " + navigator.deviceMemory);
console.log("Plaform: " + navigator.platform);
console.log("Browser info: " + navigator.userAgent);
console.log("Browser info: " + navigator.product + " " + navigator.productSub);
console.log("Browser info: " + navigator.appCodeName);
console.log("Browser info: " + navigator.appName);
console.log("Browser info: " + navigator.appVersion);
console.log("Vendor: " + navigator.vendor + " " + navigator.vendorSub);

vladignatyev

List of countries affected by GDPR

The origin of the list: https://www.hipaajournal.com/what-countries-are-affected-by-the-gdpr/

• Austria
• Belgium
• Bulgaria
• Croatia
• Republic of Cyprus
• Czech Republic