yanak

def execute(sql, *args)
  begin
    ps = @db.prepare(sql)
    ps.bind_params *args
    res = ps.execute
  rescue => e
    raise(e)
  ensure
    ps.close
  end

yanak

'use strict';

var watchify = require('watchify');
var browserify = require('browserify');
var gulp = require('gulp');
var source = require('vinyl-source-stream');
var buffer = require('vinyl-buffer');
var gutil = require('gulp-util');
var sourcemaps = require('gulp-sourcemaps');
var assign = require('lodash.assign');

yanak

fish sell

for val in (seq 10)[1..10]
  head -n 4096 /dev/urandom | shasum -a 256 | awk '{ print $1}'
end

bash

yanak

Add a user

$ export USERNAME=<your username> && sudo adduser --home /home/$USERNAME --shell /bin/bash --disabled-password $USERNAME && sudo adduser $USERNAME sudo

Make a directory and file for SSH auth

$ mkdir .ssh && chmod 700 .ssh && cd .ssh && touch authorized_keys && chmod 600 authorized_keys

yanak

• https://www.kaggle.com/kanncaa1/data-sciencetutorial-for-beginners/
• https://www.kaggle.com/kanncaa1/machine-learning-tutorial-for-beginners
• https://www.kaggle.com/dansbecker/data-leakage

Real-World Machine Learning

yanak

docker run -d --name strahov -p 3306:3306 -e MYSQL_ALLOW_EMPTY_PASSWORD=yes mysql

yanak

data = pd.read_json('data.json')
data.groupby(['id', 'product_id']).nunique().sort_values(by='align_id', ascending=False)

yanak

version: 0.2

phases:
  pre_build:
    commands:
      - pip install -r my-api/requirements.txt
  build:
    commands:
      - python -m unittest discover -s my-api
artifacts:

yanak

# You must set this file into .elasticbeanstalk direcotry like this;
# .elasticbeanstalk/config.yaml

branch-defaults:
  default:
    environment: api-env
environment-defaults:
  api-env:
    branch: null
    repository: null