Roman Gordeev rgordeev

## deploy.yml
- hosts: localhost
  gather_facts: no
  tasks:
  - local_action:
      module: slack
      domain: hexlet.slack.com
      token: {{ slack_token }}
      msg: "deploy started: {{ rails_env }}:{{ hexlet_image_tag }}"
      channel: "#operation"
      username: "{{ ansible_ssh_user }}"

## The Technical Interview Cheat Sheet.md

      
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                rgordeev
                / The Technical Interview Cheat Sheet.md
            
            
              Last active
              August 28, 2015 13:09
                — forked from tsiege/The Technical Interview Cheat Sheet.md
            
              
                This is my technical interview cheat sheet. Feel free to fork it or do whatever you want with it. PLEASE let me know if there are any errors or if anything crucial is missing. I will add more links soon.
              
          
    Studying for a Tech Interview Sucks, so Here's a Cheat Sheet to Help

This list is meant to be a both a quick guide and reference for further research into these topics.  It's basically a summary of that comp sci course you never took or forgot about, so there's no way it can cover everything in depth.  It also will be available as a gist on Github for everyone to edit and add to.
Data Structure Basics

###Array
####Definition:

Stores data elements based on an sequential, most commonly 0 based, index.
Based on tuples from set theory.


## scala-session-3.exercise.scala
// Натуральные числа
abstract class Nat{
    // является ли нулем
    def isZero: Boolean
    // возвращает предыдущее натуральное число
    def predecessor: Nat
    // возвращает следущее натуральное число
    def successor: Nat = new Succ(this)
    // возвращает результат сложения с that
    def +(that: Nat): Nat

## scala-session-4.exercise.scala
/**
 * User: rgordeev
 * Date: 30.11.15
 * Time: 16:15
 */

package patmat

import common._

## scala-session-5.exercise.scala
//   Lutz Prechelt: An Empirical Comparison of Seven Programming Languages

val in = scala.io.Source.fromURL("http://lamp.epfl.ch/files/content/sites/lamp/files/teaching/progfun/linuxwords.txt")

val words: List[String] = in.getLines().toList

val mnemonics: Map[Char, String] = Map('2' -> "ABC", '3' -> "DEF", '4' -> "GHI", '5' -> "JKL", '6' -> "MNO", '7' -> "PQRS", '8' -> "TUV", '9' -> "WXYZ", '0' -> " ")

/*
  Получаем на основе карты `mnemonics` отношение Цифра -> Символ

## springer-free-maths-books.md

      
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                rgordeev
                / springer-free-maths-books.md
            
            
              Created
              December 29, 2015 07:16
                — forked from bishboria/springer-free-maths-books.md
            
              
                Springer have made a bunch of books available for free, here are the direct links
              
          
    Direct links to free Springer books (pdf versions)

Graduate texts in mathematics

duplicates = multiple editions
A Classical Introduction to Modern Number Theory, Kenneth Ireland Michael Rosen
A Classical Introduction to Modern Number Theory, Kenneth Ireland Michael Rosen

  
## scala-session-7.exercise.scala
implicit class RichList[A](l: List[A]) {
    def update(which: Int, what: A): List[A] = {
        l.updated(which, what)
    }
}

// текущее количество воды в стаканах
type State = List[Int]

trait Move {

## Springer books in mathematics and physics.md

      
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              3 stars
            
          
                rgordeev
                / Springer books in mathematics and physics.md
            
            
              Last active
              May 17, 2022 11:58
            
              
                Springer books in mathematics and physics
              
          
    The links on books are no longer available. Springer have pulled the free plug.

Use the following one

download them all
Graduate texts in mathematics

duplicates = multiple editions
A Classical Introduction to Modern Number Theory, Kenneth Ireland Michael Rosen

  
## install.md

      
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                rgordeev
                / install.md
            
            
              Created
              May 30, 2016 21:35
                — forked from kshvakov/install.md
            
              
                Установка Postgres-CI
              
          
    Требования
Для работы необходим PostgreSQL-server 9.5 и, более-менее "свежий", Docker
Настройка сервера баз данных
Т.к. app-server и worker работают в docker-контейнерах, то следует прописать его (докера) сеть в pg_hba.conf
host    all             all  172.17.0.0/24 password


## pyget2.py
#!/usr/bin/env python
#
# pyget2.py
# A python download accelerator
#
# This file uses multiprocessing along with
# chunked/parallel downloading to speed up
# the download of files (if possible).
#
# @author  Benjamin Hutchins
	- hosts: localhost
	gather_facts: no
	tasks:
	- local_action:
	module: slack
	domain: hexlet.slack.com
	token: {{ slack_token }}
	msg: "deploy started: {{ rails_env }}:{{ hexlet_image_tag }}"
	channel: "#operation"
	username: "{{ ansible_ssh_user }}"
	// Натуральные числа
	abstract class Nat{
	// является ли нулем
	def isZero: Boolean
	// возвращает предыдущее натуральное число
	def predecessor: Nat
	// возвращает следущее натуральное число
	def successor: Nat = new Succ(this)
	// возвращает результат сложения с that
	def +(that: Nat): Nat
	/**
	* User: rgordeev
	* Date: 30.11.15
	* Time: 16:15
	*/

	package patmat

	import common._
	// Lutz Prechelt: An Empirical Comparison of Seven Programming Languages

	val in = scala.io.Source.fromURL("http://lamp.epfl.ch/files/content/sites/lamp/files/teaching/progfun/linuxwords.txt")

	val words: List[String] = in.getLines().toList

	val mnemonics: Map[Char, String] = Map('2' -> "ABC", '3' -> "DEF", '4' -> "GHI", '5' -> "JKL", '6' -> "MNO", '7' -> "PQRS", '8' -> "TUV", '9' -> "WXYZ", '0' -> " ")

	/*
	Получаем на основе карты `mnemonics` отношение Цифра -> Символ
	implicit class RichList[A](l: List[A]) {
	def update(which: Int, what: A): List[A] = {
	l.updated(which, what)
	}
	}

	// текущее количество воды в стаканах
	type State = List[Int]

	trait Move {
	#!/usr/bin/env python
	#
	# pyget2.py
	# A python download accelerator
	#
	# This file uses multiprocessing along with
	# chunked/parallel downloading to speed up
	# the download of files (if possible).
	#
	# @author Benjamin Hutchins