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Lesson10
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| { | |
| "cells": [ | |
| { | |
| "metadata": {}, | |
| "id": "adult-denmark", | |
| "cell_type": "markdown", | |
| "source": "## Наука о данных\n### Совместный бакалавриат ВШЭ-РЭШ, 2021-2022 учебный год\n_Илья Щуров_\n\n[Страница курса](http://math-info.hse.ru/s21/j)" | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": false | |
| }, | |
| "id": "genuine-killing", | |
| "cell_type": "code", | |
| "source": "class User:\n def __init__(self, first_name, last_name):\n self.first_name = first_name\n self.last_name = last_name\n self.banned = False\n def __repr__(self):\n return f\"User({self.first_name!r}, {self.last_name!r})\"\n def say_hello(self):\n print(f\"Hello, I'm {self.last_name}. \"\n f\"{self.first_name} {self.last_name}\")", | |
| "execution_count": 16, | |
| "outputs": [] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": false | |
| }, | |
| "id": "brazilian-internship", | |
| "cell_type": "code", | |
| "source": "\"asd\" \"asdad\"", | |
| "execution_count": 13, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": "'asdasdad'" | |
| }, | |
| "execution_count": 13, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": false | |
| }, | |
| "id": "shared-event", | |
| "cell_type": "code", | |
| "source": "bond = User(\"James\", \"Bond\")\nbond.say_hello()", | |
| "execution_count": 14, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": "Hello, I'm Bond. James Bond\n" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": false | |
| }, | |
| "id": "expressed-housing", | |
| "cell_type": "code", | |
| "source": "bond", | |
| "execution_count": 15, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": "User('James', 'Bond')" | |
| }, | |
| "execution_count": 15, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": false | |
| }, | |
| "id": "integral-holocaust", | |
| "cell_type": "code", | |
| "source": "class Admin(User):\n def __repr__(self):\n return f\"Admin({self.first_name!r}, {self.last_name!r})\"\n \n def ban(self, other):\n other.banned = True\n \n def say_hello(self):\n raise NotImplementedError(\"Admins don't say hello\")", | |
| "execution_count": 35, | |
| "outputs": [] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": false | |
| }, | |
| "id": "unexpected-scanner", | |
| "cell_type": "code", | |
| "source": "elizabeth = Admin(\"Elizabeth\", \"Smith\")", | |
| "execution_count": 36, | |
| "outputs": [] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": false | |
| }, | |
| "id": "through-chart", | |
| "cell_type": "code", | |
| "source": "elizabeth", | |
| "execution_count": 37, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": "Admin('Elizabeth', 'Smith')" | |
| }, | |
| "execution_count": 37, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": false | |
| }, | |
| "id": "cloudy-manual", | |
| "cell_type": "code", | |
| "source": "elizabeth.say_hello()", | |
| "execution_count": 38, | |
| "outputs": [ | |
| { | |
| "ename": "NotImplementedError", | |
| "evalue": "Admins don't say hello", | |
| "output_type": "error", | |
| "traceback": [ | |
| "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", | |
| "\u001b[0;31mNotImplementedError\u001b[0m Traceback (most recent call last)", | |
| "\u001b[0;32m<ipython-input-38-58fb9a6de091>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0melizabeth\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msay_hello\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", | |
| "\u001b[0;32m<ipython-input-35-d2e60eae490e>\u001b[0m in \u001b[0;36msay_hello\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 7\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 8\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0msay_hello\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 9\u001b[0;31m \u001b[0;32mraise\u001b[0m \u001b[0mNotImplementedError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"Admins don't say hello\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", | |
| "\u001b[0;31mNotImplementedError\u001b[0m: Admins don't say hello" | |
| ] | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": false | |
| }, | |
| "id": "annual-mining", | |
| "cell_type": "code", | |
| "source": "type(elizabeth)", | |
| "execution_count": null, | |
| "outputs": [] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": false | |
| }, | |
| "id": "reflected-alert", | |
| "cell_type": "code", | |
| "source": "elizabeth.ban(bond)", | |
| "execution_count": 39, | |
| "outputs": [] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": false | |
| }, | |
| "id": "unique-encoding", | |
| "cell_type": "code", | |
| "source": "bond.banned", | |
| "execution_count": 31, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": "True" | |
| }, | |
| "execution_count": 31, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": false | |
| }, | |
| "id": "banned-browser", | |
| "cell_type": "code", | |
| "source": "type(elizabeth)", | |
| "execution_count": 32, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": "__main__.Admin" | |
| }, | |
| "execution_count": 32, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": false | |
| }, | |
| "id": "united-attachment", | |
| "cell_type": "code", | |
| "source": "isinstance(elizabeth, Admin)", | |
| "execution_count": 33, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": "True" | |
| }, | |
| "execution_count": 33, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": false | |
| }, | |
| "id": "ranking-nomination", | |
| "cell_type": "code", | |
| "source": "isinstance(elizabeth, User)", | |
| "execution_count": 34, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": "True" | |
| }, | |
| "execution_count": 34, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": false | |
| }, | |
| "id": "complicated-ladder", | |
| "cell_type": "code", | |
| "source": "isinstance(True, int)", | |
| "execution_count": 40, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": "True" | |
| }, | |
| "execution_count": 40, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": false | |
| }, | |
| "id": "viral-alaska", | |
| "cell_type": "code", | |
| "source": "isinstance(False, int)", | |
| "execution_count": 41, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": "True" | |
| }, | |
| "execution_count": 41, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": false | |
| }, | |
| "id": "hearing-mechanism", | |
| "cell_type": "code", | |
| "source": "type(True)", | |
| "execution_count": 42, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": "bool" | |
| }, | |
| "execution_count": 42, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": false | |
| }, | |
| "id": "welcome-third", | |
| "cell_type": "code", | |
| "source": "True == 1", | |
| "execution_count": 43, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": "True" | |
| }, | |
| "execution_count": 43, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": false | |
| }, | |
| "id": "solid-update", | |
| "cell_type": "code", | |
| "source": "True + True", | |
| "execution_count": 44, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": "2" | |
| }, | |
| "execution_count": 44, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": false | |
| }, | |
| "id": "matched-identity", | |
| "cell_type": "code", | |
| "source": "True * 1", | |
| "execution_count": 45, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": "1" | |
| }, | |
| "execution_count": 45, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": false | |
| }, | |
| "id": "promising-joining", | |
| "cell_type": "code", | |
| "source": "def divisors(n):\n return [x for x in range(1, n) if n % x == 0]", | |
| "execution_count": 49, | |
| "outputs": [] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": false | |
| }, | |
| "id": "functioning-david", | |
| "cell_type": "code", | |
| "source": "divisors(100)", | |
| "execution_count": 50, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": "[1, 2, 4, 5, 10, 20, 25, 50]" | |
| }, | |
| "execution_count": 50, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": false | |
| }, | |
| "id": "labeled-azerbaijan", | |
| "cell_type": "code", | |
| "source": "def n_divisors(n):\n return sum([n % x == 0 for x in range(1, n)])", | |
| "execution_count": 53, | |
| "outputs": [] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": false | |
| }, | |
| "id": "capital-institution", | |
| "cell_type": "code", | |
| "source": "n_divisors(100)", | |
| "execution_count": 54, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": "8" | |
| }, | |
| "execution_count": 54, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": false | |
| }, | |
| "id": "according-remark", | |
| "cell_type": "code", | |
| "source": "n = 100\n[n % x == 0 for x in range(1, n)]", | |
| "execution_count": 55, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": "[True,\n True,\n False,\n True,\n True,\n False,\n False,\n False,\n False,\n True,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n True,\n False,\n False,\n False,\n False,\n True,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n True,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False]" | |
| }, | |
| "execution_count": 55, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": false | |
| }, | |
| "id": "split-salon", | |
| "cell_type": "code", | |
| "source": "issubclass(bool, int)", | |
| "execution_count": 56, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": "True" | |
| }, | |
| "execution_count": 56, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": false | |
| }, | |
| "id": "vital-latvia", | |
| "cell_type": "code", | |
| "source": "issubclass(int, float)", | |
| "execution_count": 57, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": "False" | |
| }, | |
| "execution_count": 57, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": false | |
| }, | |
| "id": "requested-pierre", | |
| "cell_type": "code", | |
| "source": "from dataclasses import dataclass", | |
| "execution_count": 58, | |
| "outputs": [] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": false | |
| }, | |
| "id": "mexican-console", | |
| "cell_type": "code", | |
| "source": "@dataclass\nclass Point2D:\n x: float\n y: float", | |
| "execution_count": 59, | |
| "outputs": [] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": false | |
| }, | |
| "id": "conceptual-italic", | |
| "cell_type": "code", | |
| "source": "p1 = Point2D(2, 3)", | |
| "execution_count": 60, | |
| "outputs": [] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": false | |
| }, | |
| "id": "czech-tuning", | |
| "cell_type": "code", | |
| "source": "p1 = Point2D(y=3, x=2)", | |
| "execution_count": 73, | |
| "outputs": [] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": false | |
| }, | |
| "id": "confused-benchmark", | |
| "cell_type": "code", | |
| "source": "p1", | |
| "execution_count": 74, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": "Point2D(x=2, y=3)" | |
| }, | |
| "execution_count": 74, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": false | |
| }, | |
| "id": "restricted-booth", | |
| "cell_type": "code", | |
| "source": "from dataclasses import astuple, asdict", | |
| "execution_count": 68, | |
| "outputs": [] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": false | |
| }, | |
| "id": "usual-cuisine", | |
| "cell_type": "code", | |
| "source": "x, y = astuple(p1)", | |
| "execution_count": 66, | |
| "outputs": [] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": false | |
| }, | |
| "id": "perfect-tumor", | |
| "cell_type": "code", | |
| "source": "astuple(p1)", | |
| "execution_count": 67, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": "(2, 3)" | |
| }, | |
| "execution_count": 67, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": false | |
| }, | |
| "id": "partial-remark", | |
| "cell_type": "code", | |
| "source": "asdict(p1)", | |
| "execution_count": 69, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": "{'x': 2, 'y': 3}" | |
| }, | |
| "execution_count": 69, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": false | |
| }, | |
| "id": "oriental-cologne", | |
| "cell_type": "code", | |
| "source": "p1.z = 100", | |
| "execution_count": 70, | |
| "outputs": [] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": false | |
| }, | |
| "id": "moral-savage", | |
| "cell_type": "code", | |
| "source": "p1", | |
| "execution_count": 71, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": "Point2D(x=2, y=3)" | |
| }, | |
| "execution_count": 71, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": false | |
| }, | |
| "id": "worst-sierra", | |
| "cell_type": "code", | |
| "source": "p1.z", | |
| "execution_count": 72, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": "100" | |
| }, | |
| "execution_count": 72, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": false | |
| }, | |
| "id": "wrong-mainland", | |
| "cell_type": "code", | |
| "source": "p1 = Point2D(\"One\", \"Two\")", | |
| "execution_count": 75, | |
| "outputs": [] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": false | |
| }, | |
| "id": "failing-species", | |
| "cell_type": "code", | |
| "source": "p1", | |
| "execution_count": 76, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": "Point2D(x='One', y='Two')" | |
| }, | |
| "execution_count": 76, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": false | |
| }, | |
| "id": "spiritual-visibility", | |
| "cell_type": "code", | |
| "source": "p = Point2D(1, 2)\np.z = 100", | |
| "execution_count": 78, | |
| "outputs": [] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": false | |
| }, | |
| "id": "bottom-alias", | |
| "cell_type": "code", | |
| "source": "q = Point2D(3, 4)", | |
| "execution_count": 79, | |
| "outputs": [] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": false | |
| }, | |
| "id": "demographic-luxembourg", | |
| "cell_type": "code", | |
| "source": "def make_sum(self):\n return self.x + self.y", | |
| "execution_count": 84, | |
| "outputs": [] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": false | |
| }, | |
| "id": "champion-editing", | |
| "cell_type": "code", | |
| "source": "q.do_sum = lambda: make_sum(self=q)", | |
| "execution_count": 88, | |
| "outputs": [] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": false | |
| }, | |
| "id": "first-shanghai", | |
| "cell_type": "code", | |
| "source": "q.do_sum()", | |
| "execution_count": 89, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": "7" | |
| }, | |
| "execution_count": 89, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": false | |
| }, | |
| "id": "broad-liechtenstein", | |
| "cell_type": "code", | |
| "source": "p.do_sum()", | |
| "execution_count": 91, | |
| "outputs": [ | |
| { | |
| "ename": "AttributeError", | |
| "evalue": "'Point2D' object has no attribute 'do_sum'", | |
| "output_type": "error", | |
| "traceback": [ | |
| "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", | |
| "\u001b[0;31mAttributeError\u001b[0m Traceback (most recent call last)", | |
| "\u001b[0;32m<ipython-input-91-144d3c9742d1>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdo_sum\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", | |
| "\u001b[0;31mAttributeError\u001b[0m: 'Point2D' object has no attribute 'do_sum'" | |
| ] | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": false | |
| }, | |
| "id": "beneficial-virus", | |
| "cell_type": "code", | |
| "source": "my_list = [1, 2, 3]\nother_list = ['a', 'b', 'c']\nz = zip(my_list, other_list)", | |
| "execution_count": 92, | |
| "outputs": [] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": false | |
| }, | |
| "id": "flexible-accessory", | |
| "cell_type": "code", | |
| "source": "z", | |
| "execution_count": 93, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": "<zip at 0x7ff3dceaf8c0>" | |
| }, | |
| "execution_count": 93, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": false | |
| }, | |
| "id": "smaller-hawaiian", | |
| "cell_type": "code", | |
| "source": "list(z)", | |
| "execution_count": 94, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": "[(1, 'a'), (2, 'b'), (3, 'c')]" | |
| }, | |
| "execution_count": 94, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": false | |
| }, | |
| "id": "spectacular-pulse", | |
| "cell_type": "code", | |
| "source": "list(z)", | |
| "execution_count": 95, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": "[]" | |
| }, | |
| "execution_count": 95, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": false | |
| }, | |
| "id": "historic-illness", | |
| "cell_type": "code", | |
| "source": "class my_iter:\n def __next__(self):\n return 1\n \n def __iter__(self):\n return self", | |
| "execution_count": 97, | |
| "outputs": [] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": false | |
| }, | |
| "id": "funky-beast", | |
| "cell_type": "code", | |
| "source": "a = my_iter()\ni = 0\nfor element in a:\n print(element)\n i = i + 1\n if i > 10:\n break", | |
| "execution_count": 98, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": "1\n1\n1\n1\n1\n1\n1\n1\n1\n1\n1\n" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": false | |
| }, | |
| "id": "answering-pressing", | |
| "cell_type": "code", | |
| "source": "class countdown:\n def __init__(self, n):\n self.n = n\n def __next__(self):\n if self.n >= 0:\n self.n = self.n - 1\n return self.n + 1\n else:\n raise StopIteration\n def __iter__(self):\n return self\n \n def show_n(self):\n return self.n", | |
| "execution_count": 109, | |
| "outputs": [] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": false | |
| }, | |
| "id": "continent-vegetation", | |
| "cell_type": "code", | |
| "source": "wait10 = countdown(10)\nfor x in wait10:\n print(x)", | |
| "execution_count": 110, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": "10\n9\n8\n7\n6\n5\n4\n3\n2\n1\n0\n" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": false | |
| }, | |
| "id": "curious-logan", | |
| "cell_type": "code", | |
| "source": "wait10.show_n()", | |
| "execution_count": 111, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": "-1" | |
| }, | |
| "execution_count": 111, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": false | |
| }, | |
| "id": "unlikely-sentence", | |
| "cell_type": "code", | |
| "source": "hasattr(wait10, '__next__')", | |
| "execution_count": 113, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": "True" | |
| }, | |
| "execution_count": 113, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": false | |
| }, | |
| "id": "explicit-export", | |
| "cell_type": "code", | |
| "source": "wait10", | |
| "execution_count": 114, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": "<__main__.countdown at 0x7ff3dd8c0a90>" | |
| }, | |
| "execution_count": 114, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": false | |
| }, | |
| "id": "seasonal-feeding", | |
| "cell_type": "code", | |
| "source": "", | |
| "execution_count": 117, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": "10" | |
| }, | |
| "execution_count": 117, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": false | |
| }, | |
| "id": "electronic-allocation", | |
| "cell_type": "code", | |
| "source": "wait10 = countdown(10)\nprint(wait10.n)\nfor x in wait10:\n print(x)\nprint(wait10.n)\nprint(\"Once again\")\nfor x in wait10:\n print(x)", | |
| "execution_count": 120, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": "10\n10\n9\n8\n7\n6\n5\n4\n3\n2\n1\n0\n-1\nOnce again\n" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": false | |
| }, | |
| "id": "classical-rough", | |
| "cell_type": "code", | |
| "source": "wait10 = countdown(10)\nnext(wait10)", | |
| "execution_count": 121, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": "10" | |
| }, | |
| "execution_count": 121, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": false | |
| }, | |
| "id": "related-direction", | |
| "cell_type": "code", | |
| "source": "wait10.__next__()", | |
| "execution_count": 122, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": "9" | |
| }, | |
| "execution_count": 122, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": false | |
| }, | |
| "id": "static-gates", | |
| "cell_type": "code", | |
| "source": "next(wait10)", | |
| "execution_count": 123, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": "8" | |
| }, | |
| "execution_count": 123, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": false | |
| }, | |
| "id": "clear-montgomery", | |
| "cell_type": "code", | |
| "source": "next(wait10)", | |
| "execution_count": 124, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": "7" | |
| }, | |
| "execution_count": 124, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": false | |
| }, | |
| "id": "conscious-premiere", | |
| "cell_type": "code", | |
| "source": "next(wait10)", | |
| "execution_count": 125, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": "6" | |
| }, | |
| "execution_count": 125, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": false | |
| }, | |
| "id": "forbidden-mixture", | |
| "cell_type": "code", | |
| "source": "next(wait10)", | |
| "execution_count": 132, | |
| "outputs": [ | |
| { | |
| "ename": "StopIteration", | |
| "evalue": "", | |
| "output_type": "error", | |
| "traceback": [ | |
| "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", | |
| "\u001b[0;31mStopIteration\u001b[0m Traceback (most recent call last)", | |
| "\u001b[0;32m<ipython-input-132-1cff4da80175>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mnext\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mwait10\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", | |
| "\u001b[0;32m<ipython-input-109-a1e947cba261>\u001b[0m in \u001b[0;36m__next__\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 7\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mn\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 8\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 9\u001b[0;31m \u001b[0;32mraise\u001b[0m \u001b[0mStopIteration\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 10\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0m__iter__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 11\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", | |
| "\u001b[0;31mStopIteration\u001b[0m: " | |
| ] | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": false | |
| }, | |
| "id": "acting-turtle", | |
| "cell_type": "code", | |
| "source": "my_list = [1, 2, 10]\nfor x in my_list:\n print(x)\n \nprint(\"Once again\")\nfor x in my_list:\n print(x)\n\n", | |
| "execution_count": 133, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": "1\n2\n10\nOnce again\n1\n2\n10\n" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": false | |
| }, | |
| "id": "noble-cleaner", | |
| "cell_type": "code", | |
| "source": "my_list.__next__()", | |
| "execution_count": 135, | |
| "outputs": [ | |
| { | |
| "ename": "AttributeError", | |
| "evalue": "'list' object has no attribute '__next__'", | |
| "output_type": "error", | |
| "traceback": [ | |
| "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", | |
| "\u001b[0;31mAttributeError\u001b[0m Traceback (most recent call last)", | |
| "\u001b[0;32m<ipython-input-135-40b369d77577>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mmy_list\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__next__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", | |
| "\u001b[0;31mAttributeError\u001b[0m: 'list' object has no attribute '__next__'" | |
| ] | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": false | |
| }, | |
| "id": "athletic-database", | |
| "cell_type": "code", | |
| "source": "my_list", | |
| "execution_count": 137, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": "[1, 2, 10]" | |
| }, | |
| "execution_count": 137, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": false | |
| }, | |
| "id": "homeless-guest", | |
| "cell_type": "code", | |
| "source": "it = my_list.__iter__()", | |
| "execution_count": 138, | |
| "outputs": [] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": false | |
| }, | |
| "id": "manufactured-evening", | |
| "cell_type": "code", | |
| "source": "next(it)", | |
| "execution_count": 139, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": "1" | |
| }, | |
| "execution_count": 139, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": false | |
| }, | |
| "id": "regulated-acrobat", | |
| "cell_type": "code", | |
| "source": "next(it)", | |
| "execution_count": 140, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": "2" | |
| }, | |
| "execution_count": 140, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": false | |
| }, | |
| "id": "interior-strand", | |
| "cell_type": "code", | |
| "source": "next(it)", | |
| "execution_count": 141, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": "10" | |
| }, | |
| "execution_count": 141, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": false | |
| }, | |
| "id": "separate-blind", | |
| "cell_type": "code", | |
| "source": "next(it)", | |
| "execution_count": 142, | |
| "outputs": [ | |
| { | |
| "ename": "StopIteration", | |
| "evalue": "", | |
| "output_type": "error", | |
| "traceback": [ | |
| "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", | |
| "\u001b[0;31mStopIteration\u001b[0m Traceback (most recent call last)", | |
| "\u001b[0;32m<ipython-input-142-bc1ab118995a>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mnext\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mit\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", | |
| "\u001b[0;31mStopIteration\u001b[0m: " | |
| ] | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": false | |
| }, | |
| "id": "desperate-return", | |
| "cell_type": "code", | |
| "source": "my_list", | |
| "execution_count": 143, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": "[1, 2, 10]" | |
| }, | |
| "execution_count": 143, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": false | |
| }, | |
| "id": "amino-illness", | |
| "cell_type": "code", | |
| "source": "it = my_list.__iter__()", | |
| "execution_count": 144, | |
| "outputs": [] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": false | |
| }, | |
| "id": "cutting-penny", | |
| "cell_type": "code", | |
| "source": "next(it)", | |
| "execution_count": 145, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": "1" | |
| }, | |
| "execution_count": 145, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": false | |
| }, | |
| "id": "packed-insight", | |
| "cell_type": "code", | |
| "source": "it = my_list.__iter__()", | |
| "execution_count": 146, | |
| "outputs": [] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": false | |
| }, | |
| "id": "alive-masters", | |
| "cell_type": "code", | |
| "source": "next(it)", | |
| "execution_count": 147, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": "1" | |
| }, | |
| "execution_count": 147, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": false | |
| }, | |
| "id": "crazy-spencer", | |
| "cell_type": "code", | |
| "source": "class DebugIterator:\n def __init__(self, n):\n print(\"I'm in __init__, creating new iterator\")\n self.n = n\n def __next__(self):\n print(\"You asked me to get next element\")\n if self.n >= 0:\n self.n = self.n - 1\n return self.n + 1\n else:\n raise StopIteration\n def __iter__(self):\n print(\"I'm in __iter__, returning new iterator\")\n return self\n def show_n(self):\n return self.n", | |
| "execution_count": 149, | |
| "outputs": [] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": false | |
| }, | |
| "id": "economic-statement", | |
| "cell_type": "code", | |
| "source": "for x in DebugIterator(3):\n print(x)", | |
| "execution_count": 151, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": "I'm in __init__, creating new iterator\nI'm in __iter__, returning new iterator\nYou asked me to get next element\n3\nYou asked me to get next element\n2\nYou asked me to get next element\n1\nYou asked me to get next element\n0\nYou asked me to get next element\n" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": false | |
| }, | |
| "id": "reported-present", | |
| "cell_type": "code", | |
| "source": "class MyIterable:\n def __iter__(self):\n print(\"Generating new iterator\")\n return DebugIterator(3)", | |
| "execution_count": 155, | |
| "outputs": [] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": false | |
| }, | |
| "id": "biblical-traveler", | |
| "cell_type": "code", | |
| "source": "my_iterable = MyIterable()\nprint(\"Let's begin\")\nfor x in my_iterable:\n print(x)\nprint(\"Once again\")\nfor x in my_iterable:\n print(x)", | |
| "execution_count": 158, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": "Let's begin\nGenerating new iterator\nI'm in __init__, creating new iterator\nYou asked me to get next element\n3\nYou asked me to get next element\n2\nYou asked me to get next element\n1\nYou asked me to get next element\n0\nYou asked me to get next element\nOnce again\nGenerating new iterator\nI'm in __init__, creating new iterator\nYou asked me to get next element\n3\nYou asked me to get next element\n2\nYou asked me to get next element\n1\nYou asked me to get next element\n0\nYou asked me to get next element\n" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": false | |
| }, | |
| "id": "reduced-lawrence", | |
| "cell_type": "code", | |
| "source": "list(range(100000000000000))", | |
| "execution_count": 161, | |
| "outputs": [ | |
| { | |
| "ename": "MemoryError", | |
| "evalue": "", | |
| "output_type": "error", | |
| "traceback": [ | |
| "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", | |
| "\u001b[0;31mMemoryError\u001b[0m Traceback (most recent call last)", | |
| "\u001b[0;32m<ipython-input-161-b5ea925078b4>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mlist\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrange\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m100000000000000\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", | |
| "\u001b[0;31mMemoryError\u001b[0m: " | |
| ] | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": false | |
| }, | |
| "id": "talented-underground", | |
| "cell_type": "code", | |
| "source": "for x in range(100000000000000):\n y = x * 2", | |
| "execution_count": 162, | |
| "outputs": [ | |
| { | |
| "ename": "KeyboardInterrupt", | |
| "evalue": "", | |
| "output_type": "error", | |
| "traceback": [ | |
| "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", | |
| "\u001b[0;31mKeyboardInterrupt\u001b[0m Traceback (most recent call last)", | |
| "\u001b[0;32m<ipython-input-162-0fbbddc34ced>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mx\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mrange\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m100000000000000\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0my\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mx\u001b[0m \u001b[0;34m*\u001b[0m \u001b[0;36m2\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", | |
| "\u001b[0;31mKeyboardInterrupt\u001b[0m: " | |
| ] | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": false | |
| }, | |
| "id": "convertible-layer", | |
| "cell_type": "code", | |
| "source": "my_list = [1, 2, 3]\nother_list = ['a', 'b', 'c']\nfor a, b in zip(my_list, other_list):\n print(a, b)\nfor a, b in zip(my_list, other_list):\n print(a, b)\n\n", | |
| "execution_count": 163, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": "1 a\n2 b\n3 c\n1 a\n2 b\n3 c\n" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": false | |
| }, | |
| "id": "vulnerable-ground", | |
| "cell_type": "code", | |
| "source": "my_list = [1, 2, 3]\nother_list = ['a', 'b', 'c']\nmy_zip = zip(my_list, other_list)\nfor a, b in my_zip:\n print(a, b)\nfor a, b in my_zip:\n print(a, b)", | |
| "execution_count": 165, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": "1 a\n2 b\n3 c\n" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": false | |
| }, | |
| "id": "intermediate-settle", | |
| "cell_type": "code", | |
| "source": "import itertools", | |
| "execution_count": 166, | |
| "outputs": [] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": false | |
| }, | |
| "id": "buried-prairie", | |
| "cell_type": "code", | |
| "source": "for x, y in itertools.product(range(3), \"abc\"):\n print(f\"{x} {y}\")", | |
| "execution_count": 167, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": "0 a\n0 b\n0 c\n1 a\n1 b\n1 c\n2 a\n2 b\n2 c\n" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": false | |
| }, | |
| "id": "criminal-couple", | |
| "cell_type": "code", | |
| "source": "for x in range(3):\n for y in \"abc\":\n print(f\"{x} {y}\")", | |
| "execution_count": 168, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": "0 a\n0 b\n0 c\n1 a\n1 b\n1 c\n2 a\n2 b\n2 c\n" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": false | |
| }, | |
| "id": "authorized-personality", | |
| "cell_type": "code", | |
| "source": "list(itertools.product(\"abc\", \"abc\", \"abc\"))", | |
| "execution_count": 170, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": "[('a', 'a', 'a'),\n ('a', 'a', 'b'),\n ('a', 'a', 'c'),\n ('a', 'b', 'a'),\n ('a', 'b', 'b'),\n ('a', 'b', 'c'),\n ('a', 'c', 'a'),\n ('a', 'c', 'b'),\n ('a', 'c', 'c'),\n ('b', 'a', 'a'),\n ('b', 'a', 'b'),\n ('b', 'a', 'c'),\n ('b', 'b', 'a'),\n ('b', 'b', 'b'),\n ('b', 'b', 'c'),\n ('b', 'c', 'a'),\n ('b', 'c', 'b'),\n ('b', 'c', 'c'),\n ('c', 'a', 'a'),\n ('c', 'a', 'b'),\n ('c', 'a', 'c'),\n ('c', 'b', 'a'),\n ('c', 'b', 'b'),\n ('c', 'b', 'c'),\n ('c', 'c', 'a'),\n ('c', 'c', 'b'),\n ('c', 'c', 'c')]" | |
| }, | |
| "execution_count": 170, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": false | |
| }, | |
| "id": "jewish-income", | |
| "cell_type": "code", | |
| "source": "list(itertools.permutations(\"abc\"))", | |
| "execution_count": 171, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": "[('a', 'b', 'c'),\n ('a', 'c', 'b'),\n ('b', 'a', 'c'),\n ('b', 'c', 'a'),\n ('c', 'a', 'b'),\n ('c', 'b', 'a')]" | |
| }, | |
| "execution_count": 171, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": false | |
| }, | |
| "id": "ongoing-wilderness", | |
| "cell_type": "code", | |
| "source": "list(itertools.combinations(range(10), 3))", | |
| "execution_count": 173, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": "[(0, 1, 2),\n (0, 1, 3),\n (0, 1, 4),\n (0, 1, 5),\n (0, 1, 6),\n (0, 1, 7),\n (0, 1, 8),\n (0, 1, 9),\n (0, 2, 3),\n (0, 2, 4),\n (0, 2, 5),\n (0, 2, 6),\n (0, 2, 7),\n (0, 2, 8),\n (0, 2, 9),\n (0, 3, 4),\n (0, 3, 5),\n (0, 3, 6),\n (0, 3, 7),\n (0, 3, 8),\n (0, 3, 9),\n (0, 4, 5),\n (0, 4, 6),\n (0, 4, 7),\n (0, 4, 8),\n (0, 4, 9),\n (0, 5, 6),\n (0, 5, 7),\n (0, 5, 8),\n (0, 5, 9),\n (0, 6, 7),\n (0, 6, 8),\n (0, 6, 9),\n (0, 7, 8),\n (0, 7, 9),\n (0, 8, 9),\n (1, 2, 3),\n (1, 2, 4),\n (1, 2, 5),\n (1, 2, 6),\n (1, 2, 7),\n (1, 2, 8),\n (1, 2, 9),\n (1, 3, 4),\n (1, 3, 5),\n (1, 3, 6),\n (1, 3, 7),\n (1, 3, 8),\n (1, 3, 9),\n (1, 4, 5),\n (1, 4, 6),\n (1, 4, 7),\n (1, 4, 8),\n (1, 4, 9),\n (1, 5, 6),\n (1, 5, 7),\n (1, 5, 8),\n (1, 5, 9),\n (1, 6, 7),\n (1, 6, 8),\n (1, 6, 9),\n (1, 7, 8),\n (1, 7, 9),\n (1, 8, 9),\n (2, 3, 4),\n (2, 3, 5),\n (2, 3, 6),\n (2, 3, 7),\n (2, 3, 8),\n (2, 3, 9),\n (2, 4, 5),\n (2, 4, 6),\n (2, 4, 7),\n (2, 4, 8),\n (2, 4, 9),\n (2, 5, 6),\n (2, 5, 7),\n (2, 5, 8),\n (2, 5, 9),\n (2, 6, 7),\n (2, 6, 8),\n (2, 6, 9),\n (2, 7, 8),\n (2, 7, 9),\n (2, 8, 9),\n (3, 4, 5),\n (3, 4, 6),\n (3, 4, 7),\n (3, 4, 8),\n (3, 4, 9),\n (3, 5, 6),\n (3, 5, 7),\n (3, 5, 8),\n (3, 5, 9),\n (3, 6, 7),\n (3, 6, 8),\n (3, 6, 9),\n (3, 7, 8),\n (3, 7, 9),\n (3, 8, 9),\n (4, 5, 6),\n (4, 5, 7),\n (4, 5, 8),\n (4, 5, 9),\n (4, 6, 7),\n (4, 6, 8),\n (4, 6, 9),\n (4, 7, 8),\n (4, 7, 9),\n (4, 8, 9),\n (5, 6, 7),\n (5, 6, 8),\n (5, 6, 9),\n (5, 7, 8),\n (5, 7, 9),\n (5, 8, 9),\n (6, 7, 8),\n (6, 7, 9),\n (6, 8, 9),\n (7, 8, 9)]" | |
| }, | |
| "execution_count": 173, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": false | |
| }, | |
| "id": "fitted-destination", | |
| "cell_type": "code", | |
| "source": "for x in itertools.count():\n print(x)\n if x > 10:\n break", | |
| "execution_count": 175, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": "0\n1\n2\n3\n4\n5\n6\n7\n8\n9\n10\n11\n" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": false | |
| }, | |
| "id": "organizational-iraqi", | |
| "cell_type": "code", | |
| "source": "list(itertools.islice(itertools.count(), 3, 14))", | |
| "execution_count": 177, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": "[3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13]" | |
| }, | |
| "execution_count": 177, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": false | |
| }, | |
| "id": "digital-potential", | |
| "cell_type": "code", | |
| "source": "def n_divisors(n):\n return sum(n % x == 0 for x in range(1, n))", | |
| "execution_count": 179, | |
| "outputs": [] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": false | |
| }, | |
| "id": "blocked-rebecca", | |
| "cell_type": "code", | |
| "source": "n_divisors(100)", | |
| "execution_count": 180, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": "8" | |
| }, | |
| "execution_count": 180, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": false | |
| }, | |
| "id": "hourly-onion", | |
| "cell_type": "code", | |
| "source": "n = 100\nsum(n % x == 0 for x in range(1, n))", | |
| "execution_count": 181, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": "8" | |
| }, | |
| "execution_count": 181, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": false | |
| }, | |
| "id": "competent-transcription", | |
| "cell_type": "code", | |
| "source": "[n % x == 0 for x in range(1, n)]", | |
| "execution_count": 186, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": "[True,\n True,\n False,\n True,\n True,\n False,\n False,\n False,\n False,\n True,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n True,\n False,\n False,\n False,\n False,\n True,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n True,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False,\n False]" | |
| }, | |
| "execution_count": 186, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": false | |
| }, | |
| "id": "extended-tulsa", | |
| "cell_type": "code", | |
| "source": "divisors_it = (n % x == 0 for x in range(1, n))", | |
| "execution_count": 182, | |
| "outputs": [] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": false | |
| }, | |
| "id": "thermal-brunswick", | |
| "cell_type": "code", | |
| "source": "type(divisors_it)", | |
| "execution_count": 183, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": "generator" | |
| }, | |
| "execution_count": 183, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": false | |
| }, | |
| "id": "critical-regression", | |
| "cell_type": "code", | |
| "source": "divisors_it.__next__()", | |
| "execution_count": 184, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": "True" | |
| }, | |
| "execution_count": 184, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": false | |
| }, | |
| "id": "iraqi-finder", | |
| "cell_type": "code", | |
| "source": "sum(divisors_it)", | |
| "execution_count": 185, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": "7" | |
| }, | |
| "execution_count": 185, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": false | |
| }, | |
| "id": "worldwide-finder", | |
| "cell_type": "code", | |
| "source": "my_list = [-4, -2, -3, 10, 4, -3, 4, ]", | |
| "execution_count": 189, | |
| "outputs": [] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": false | |
| }, | |
| "id": "fifty-walnut", | |
| "cell_type": "code", | |
| "source": "for x in my_list:\n if x > 0:\n print(x)\n break", | |
| "execution_count": 190, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": "10\n" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": false | |
| }, | |
| "id": "mediterranean-personal", | |
| "cell_type": "code", | |
| "source": "next((x for x in my_list if x > 0))", | |
| "execution_count": 193, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": "10" | |
| }, | |
| "execution_count": 193, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": false | |
| }, | |
| "id": "anticipated-transition", | |
| "cell_type": "code", | |
| "source": "max(range(100000000))", | |
| "execution_count": 198, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": "99999999" | |
| }, | |
| "execution_count": 198, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": false | |
| }, | |
| "id": "oriental-cedar", | |
| "cell_type": "code", | |
| "source": "x = 12\ns = \"Hello\"\nf\"x = {x}, and the string is {s}\"", | |
| "execution_count": 199, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": "'x = 12, and the string is Hello'" | |
| }, | |
| "execution_count": 199, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": false | |
| }, | |
| "id": "sticky-chance", | |
| "cell_type": "code", | |
| "source": "", | |
| "execution_count": null, | |
| "outputs": [] | |
| } | |
| ], | |
| "metadata": { | |
| "_draft": { | |
| "nbviewer_url": "https://gist.github.com/21d0818f0be7df2350d2bc11019ba730" | |
| }, | |
| "gist": { | |
| "id": "21d0818f0be7df2350d2bc11019ba730", | |
| "data": { | |
| "description": "Lesson10", | |
| "public": false | |
| } | |
| }, | |
| "kernelspec": { | |
| "name": "py39_system", | |
| "display_name": "Python 3.9 (system)", | |
| "language": "python" | |
| }, | |
| "language_info": { | |
| "name": "python", | |
| "version": "3.9.0", | |
| "mimetype": "text/x-python", | |
| "codemirror_mode": { | |
| "name": "ipython", | |
| "version": 3 | |
| }, | |
| "pygments_lexer": "ipython3", | |
| "nbconvert_exporter": "python", | |
| "file_extension": ".py" | |
| } | |
| }, | |
| "nbformat": 4, | |
| "nbformat_minor": 5 | |
| } |
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