<div class="xblock xblock-public_view xblock-public_view-vertical" data-course-id="course-v1:Ministry_of_Education_and_Science_of_Ukraine+IT8+2022_9df2133f" data-init="VerticalStudentView" data-runtime-class="LmsRuntime" data-runtime-version="1" data-block-type="vertical" data-usage-id="block-v1:Ministry_of_Education_and_Science_of_Ukraine+IT8+2022_9df2133f+type@vertical+block@d495aaef3d9e4f2ab51139fa699f88ac" data-request-token="2c54112c366e11f1970c721aa9a92f15" data-graded="True" data-has-score="False">
<div class="vert-mod">
<div class="vert vert-0" data-id="block-v1:Ministry_of_Education_and_Science_of_Ukraine+IT8+2022_9df2133f+type@html+block@fe3bba878a1040cd9ecde11a29750006">
<div class="xblock xblock-public_view xblock-public_view-html xmodule_display xmodule_HtmlBlock" data-course-id="course-v1:Ministry_of_Education_and_Science_of_Ukraine+IT8+2022_9df2133f" data-init="XBlockToXModuleShim" data-runtime-class="LmsRuntime" data-runtime-version="1" data-block-type="html" data-usage-id="block-v1:Ministry_of_Education_and_Science_of_Ukraine+IT8+2022_9df2133f+type@html+block@fe3bba878a1040cd9ecde11a29750006" data-request-token="2c54112c366e11f1970c721aa9a92f15" data-graded="True" data-has-score="False">
<script type="json/xblock-args" class="xblock-json-init-args">
{"xmodule-type": "HTMLModule"}
</script>
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<link rel="stylesheet"
href="https://lms.e-school.net.ua/asset-v1:Ministry_of_Education_and_Science_of_Ukraine+IT10+2022+type@asset+block@styles.css">
</head>
<body>
<section class="lesson header" style="background-color: #03C847 !important;">
<div class="container-own">
<div class="inner">
<h5 class="c-white">Програмування</h5>
</div>
</div>
</section>
<section class="lesson main pad-60" style="background-color: #7651EB !important;">
<div class="container-own">
<div class="inner-flex">
<h1 class="c-white">Функції. Музика</h1>
<svg class="main__decor" viewBox="0 0 339 98" fill="none" xmlns="http://www.w3.org/2000/svg">
<path
d="M9.74524 91.9769L5.00262 6.1355C4.95552 5.28296 5.92962 4.76735 6.60814 5.28566L74.9019 57.4545C75.6185 58.0019 75.3015 59.1434 74.4053 59.243L36.7757 63.4241C36.5233 63.4521 36.291 63.5751 36.126 63.7682L11.5038 92.5715C10.9177 93.2571 9.795 92.8775 9.74524 91.9769Z"
fill="#03C847" />
<path fill-rule="evenodd" clip-rule="evenodd"
d="M10.4737 14.5339L14.1868 81.7408L32.325 60.5225C33.3151 59.3643 34.7088 58.6262 36.2232 58.4579L63.9423 55.378L10.4737 14.5339ZM0.00987528 6.41454C-0.272733 1.29935 5.57187 -1.79435 9.64298 1.31553L77.9367 53.4843C82.2363 56.7687 80.3344 63.6182 74.9571 64.2157L38.8989 68.2221L15.3041 95.8236C11.7875 99.9374 5.05104 97.6596 4.75249 92.2559L0.00987528 6.41454ZM39.9239 67.0231C39.9247 67.0222 39.9255 67.0212 39.9263 67.0203L36.8858 64.4212L39.9263 67.0203L39.9239 67.0231Z"
fill="black" />
<rect x="140.302" y="21.6562" width="198.25" height="54.6897" rx="15.1861" fill="white" />
<path
d="M160.776 38.7988H164.377V60.4062H160.776V38.7988ZM167.385 38.7988H185.392V42.4H178.189V60.4062H174.588V42.4H167.385V38.7988Z"
fill="black" />
<path
d="M188.384 49.6025H199.188V53.2038H188.384V49.6025ZM205.805 38.7988H216.608V42.4H205.805V38.7988ZM202.203 42.4H205.805V56.805H202.203V42.4ZM216.608 42.4H220.21V46.0013H216.608V42.4ZM216.608 53.2038H220.21V56.805H216.608V53.2038ZM205.805 56.805H216.608V60.4062H205.805V56.805ZM223.202 38.7988H241.209V42.4H234.006V60.4062H230.405V42.4H223.202V38.7988ZM247.803 46.0013H244.201V38.7988H247.803V46.0013ZM262.208 38.7988V56.805H258.606V49.6025H247.803V46.0013H258.606V38.7988H262.208ZM247.803 53.2038V56.805H244.201V53.2038H247.803ZM258.606 60.4062H247.803V56.805H258.606V60.4062ZM286.808 56.805V60.4062H265.201V56.805H268.802V42.4H272.403V56.805H279.606V42.4H272.403V38.7988H283.207V56.805H286.808ZM297.007 38.7988H300.608V46.0013H297.007V38.7988ZM293.406 46.0013H297.007V53.2038H293.406V46.0013ZM289.804 53.2038H293.406V60.4062H289.804V53.2038ZM310.826 38.7988H314.427V46.0013H310.826V38.7988ZM307.224 46.0013H310.826V53.2038H307.224V46.0013ZM303.623 53.2038H307.224V60.4062H303.623V53.2038Z"
fill="#7651EB" />
<rect x="307.348" y="31.7812" width="3.37468" height="3.37468" fill="#7651EB" />
<rect x="315.785" y="31.7812" width="3.37468" height="3.37468" fill="#7651EB" />
</svg>
</div>
</div>
</section>
<section class="lesson pad-40 main__question" style="background-color: #fff !important;">
<div class="container-own">
<div>
<h2 class="c-black pad-t-20">
👋 Привіт!
</h2>
<p class="mar-t-20 c-black">Що спільного у комп’ютерної програми й нового треку вашого улюбленого гурту?</p>
<p class="mar-t-20 c-black">І програма, і саундтрек — це інструкція виконавцю. Тільки в першому випадку виконавцем виступає комп’ютер, а в другому — музиканти. Музиканти читають ноти, а комп’ютер — код програми. Обидва роблять це зліва направо, зверху вниз, рядок за рядком.</p>
<p class="mar-t-20 c-black">Якщо придивитися уважніше до пісень і програм, то і там, і там є фрагменти, які повторюються.</p>
<p class="mar-t-20 c-black">У музиці такий фрагмент називають рефреном, а в програмуванні — функцією!</p>
<p class="mar-t-20 c-black">Тож запрошуємо вас на урок музики, який звучатиме сьогодні мовою Python.</p>
<div class="text__grey c-black mar-t-30">
<h5 class="c-black">📌 Довідка</h5>
<p class="mar-t-20 c-black"><b>Рефрен</b>. Зберігся переказ, що в Стародавньому Римі один з членів Сенату кожен свій виступ, на яку б тему він не був, закінчував словами: «Крім того, я вважаю, що Карфаген має бути зруйновано». Ці слова можна визначити як незмінний рефрен всіх його промов.</p>
<p class="mar-t-20 c-black">Що ж означає слово <b>рефрен</b> (з франц. refrain — приспів)? Так заведено називати розділ музичного твору, який без жодних змін повторюється не менше трьох разів. Синонім рефрену — приспів. Саме ж слово «рефрен» зазвичай застосовують до форми рондо, яка походить від куплетної пісні.</p>
</div>
</div>
</div>
</section>
</body>
</html>
</div>
</div>
</div>
<script type="text/javascript">
(function (require) {
require(['/static/js/dateutil_factory.762fd6ff462b.js?raw'], function () {
require(['js/dateutil_factory'], function (DateUtilFactory) {
DateUtilFactory.transform('.localized-datetime');
});
});
}).call(this, require || RequireJS.require);
</script>
<script>
function emit_event(message) {
parent.postMessage(message, '*');
}
</script>
</div>
<div class="xblock xblock-public_view xblock-public_view-vertical" data-course-id="course-v1:Ministry_of_Education_and_Science_of_Ukraine+IT8+2022_9df2133f" data-init="VerticalStudentView" data-runtime-class="LmsRuntime" data-runtime-version="1" data-block-type="vertical" data-usage-id="block-v1:Ministry_of_Education_and_Science_of_Ukraine+IT8+2022_9df2133f+type@vertical+block@a41d2d94683f43faa792a7eb722d9e9a" data-request-token="2c54112c366e11f1970c721aa9a92f15" data-graded="True" data-has-score="False">
<div class="vert-mod">
<div class="vert vert-0" data-id="block-v1:Ministry_of_Education_and_Science_of_Ukraine+IT8+2022_9df2133f+type@html+block@829f99fb74844debb02b3161d3796cbd">
<div class="xblock xblock-public_view xblock-public_view-html xmodule_display xmodule_HtmlBlock" data-course-id="course-v1:Ministry_of_Education_and_Science_of_Ukraine+IT8+2022_9df2133f" data-init="XBlockToXModuleShim" data-runtime-class="LmsRuntime" data-runtime-version="1" data-block-type="html" data-usage-id="block-v1:Ministry_of_Education_and_Science_of_Ukraine+IT8+2022_9df2133f+type@html+block@829f99fb74844debb02b3161d3796cbd" data-request-token="2c54112c366e11f1970c721aa9a92f15" data-graded="True" data-has-score="False">
<script type="json/xblock-args" class="xblock-json-init-args">
{"xmodule-type": "HTMLModule"}
</script>
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<link rel="stylesheet"
href="https://lms.e-school.net.ua/asset-v1:Ministry_of_Education_and_Science_of_Ukraine+IT10+2022+type@asset+block@styles.css">
</head>
<body>
<section class="lesson pad-40 main__question" style="background-color: #fff !important;">
<div class="container-own">
<div>
<p class="c-black">Отже, сьогодні потренуємося писати пісні. Якщо ми співаємо пісню з аркуша і бачимо слово «Приспів», ми не співаємо це слово. Натомість шукаємо на аркуші, які слова становлять приспів і співаємо саме їх.</p>
<p class="pad-t-20 c-black">Цей приспів ми можемо повторювати декілька разів.</p>
<div class="text__grey c-black mar-t-30">
<p class="c-black">🖥 Функція — це фрагмент програми, що може виконуватися кілька разів.<br>Це фрагмент коду, який можна викликати під час виконання програми.. причому це можно робити неодноразово.</p>
</div>
<p class="pad-t-20 c-black">Існує багато функцій, вбудованих у мову програмування. З деякими з них ми вже знайомі. Це — print(), input(), int(), float(), str(). Код, який вони виконують, для нас невидимий, його «десь сховано всередині Python». А нам надано тільки ім’я функції.</p>
<p class="pad-t-20 c-black">Втім, програмісти й самі створюють функції. Спробуємо створити власну функцію.</p>
<img src="https://lms.e-school.net.ua/asset-v1:Ministry_of_Education_and_Science_of_Ukraine+IT8+2022+type@asset+block@9_3_0022.png" alt="" class="mar-t-30">
<h5 class="pad-t-30 c-black">Складники функції</h5>
<p class="pad-t-30 c-black">def — вказує комп’ютеру, що ви визначаєте нову функцію.</p>
<p class="pad-t-20 c-black">Функція складається з назви, параметрів і тіла.<br> Назва цієї функції — <b>Hello_friend</b>. Вона має один параметр name.<br> Тіло функції починається після двокрапки.</p>
</div>
</div>
</section>
</body>
</html>
</div>
</div>
</div>
<script type="text/javascript">
(function (require) {
require(['/static/js/dateutil_factory.762fd6ff462b.js?raw'], function () {
require(['js/dateutil_factory'], function (DateUtilFactory) {
DateUtilFactory.transform('.localized-datetime');
});
});
}).call(this, require || RequireJS.require);
</script>
<script>
function emit_event(message) {
parent.postMessage(message, '*');
}
</script>
</div>
<div class="xblock xblock-public_view xblock-public_view-vertical" data-course-id="course-v1:Ministry_of_Education_and_Science_of_Ukraine+IT8+2022_9df2133f" data-init="VerticalStudentView" data-runtime-class="LmsRuntime" data-runtime-version="1" data-block-type="vertical" data-usage-id="block-v1:Ministry_of_Education_and_Science_of_Ukraine+IT8+2022_9df2133f+type@vertical+block@d42b3bceed7c4b3b99497461f67ffdf6" data-request-token="2c54112c366e11f1970c721aa9a92f15" data-graded="True" data-has-score="False">
<div class="vert-mod">
<div class="vert vert-0" data-id="block-v1:Ministry_of_Education_and_Science_of_Ukraine+IT8+2022_9df2133f+type@html+block@e69d4ef014f8420e9cc5507bc776c9bc">
<div class="xblock xblock-public_view xblock-public_view-html xmodule_display xmodule_HtmlBlock" data-course-id="course-v1:Ministry_of_Education_and_Science_of_Ukraine+IT8+2022_9df2133f" data-init="XBlockToXModuleShim" data-runtime-class="LmsRuntime" data-runtime-version="1" data-block-type="html" data-usage-id="block-v1:Ministry_of_Education_and_Science_of_Ukraine+IT8+2022_9df2133f+type@html+block@e69d4ef014f8420e9cc5507bc776c9bc" data-request-token="2c54112c366e11f1970c721aa9a92f15" data-graded="True" data-has-score="False">
<script type="json/xblock-args" class="xblock-json-init-args">
{"xmodule-type": "HTMLModule"}
</script>
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<link rel="stylesheet"
href="https://lms.e-school.net.ua/asset-v1:Ministry_of_Education_and_Science_of_Ukraine+IT10+2022+type@asset+block@styles.css">
</head>
<body>
<section class="lesson pad-40 main__question" style="background-color: #fff !important;">
<div class="container-own">
<div>
<ol class="list c-black">
<li>
<p class="c-black pad-t-4">Запустіть середовище програмування.</p>
</li>
<li>
<p class="c-black pad-t-4">Створіть програму за зразком, протестуйте.</p>
</li>
<li>
<p class="c-black pad-t-4">Змініть програму так, щоб вона працювала без параметрів (тобто просто друкувала привітання). Наприклад:</p>
</li>
</ol>
<p class="c-black pad-t-30"><b>Привіт, друже, радий тебе бачити</b></p>
</div>
</div>
</section>
</body>
</html>
</div>
</div>
<div class="vert vert-1" data-id="block-v1:Ministry_of_Education_and_Science_of_Ukraine+IT8+2022_9df2133f+type@html+block@684eee16434540b4a174180d0b66e5c1">
<div class="xblock xblock-public_view xblock-public_view-html xmodule_display xmodule_HtmlBlock" data-course-id="course-v1:Ministry_of_Education_and_Science_of_Ukraine+IT8+2022_9df2133f" data-init="XBlockToXModuleShim" data-runtime-class="LmsRuntime" data-runtime-version="1" data-block-type="html" data-usage-id="block-v1:Ministry_of_Education_and_Science_of_Ukraine+IT8+2022_9df2133f+type@html+block@684eee16434540b4a174180d0b66e5c1" data-request-token="2c54112c366e11f1970c721aa9a92f15" data-graded="True" data-has-score="False">
<script type="json/xblock-args" class="xblock-json-init-args">
{"xmodule-type": "HTMLModule"}
</script>
<h3 class="hd hd-2"><img src="data:image/png;base64,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" alt="" /></h3>
</div>
</div>
<div class="vert vert-2" data-id="block-v1:Ministry_of_Education_and_Science_of_Ukraine+IT8+2022_9df2133f+type@html+block@59a6d585a4f745438e404544c3cdc42a">
<div class="xblock xblock-public_view xblock-public_view-html xmodule_display xmodule_HtmlBlock" data-course-id="course-v1:Ministry_of_Education_and_Science_of_Ukraine+IT8+2022_9df2133f" data-init="XBlockToXModuleShim" data-runtime-class="LmsRuntime" data-runtime-version="1" data-block-type="html" data-usage-id="block-v1:Ministry_of_Education_and_Science_of_Ukraine+IT8+2022_9df2133f+type@html+block@59a6d585a4f745438e404544c3cdc42a" data-request-token="2c54112c366e11f1970c721aa9a92f15" data-graded="True" data-has-score="False">
<script type="json/xblock-args" class="xblock-json-init-args">
{"xmodule-type": "HTMLModule"}
</script>
<h3 class="hd hd-2"><img src="data:image/png;base64,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" alt="" /></h3>
</div>
</div>
<div class="vert vert-3" data-id="block-v1:Ministry_of_Education_and_Science_of_Ukraine+IT8+2022_9df2133f+type@problem+block@652f8d18f5204613afa831ffa799399e">
<div class="xblock xblock-public_view xblock-public_view-problem xmodule_display xmodule_ProblemBlock" data-course-id="course-v1:Ministry_of_Education_and_Science_of_Ukraine+IT8+2022_9df2133f" data-block-type="problem" data-usage-id="block-v1:Ministry_of_Education_and_Science_of_Ukraine+IT8+2022_9df2133f+type@problem+block@652f8d18f5204613afa831ffa799399e" data-request-token="2c54112c366e11f1970c721aa9a92f15" data-graded="True" data-has-score="True">
<div class="page-banner"><div class="alert alert-warning"><span class="icon icon-alert fa fa fa-warning" aria-hidden="true"></span><div class="message-content">Завдання доступне для перегляду та виконання після <a href=/register>реєстрації</a>/<a href=/login>авторизації</a> на платформі.</div></div></div>
</div>
</div>
<div class="vert vert-4" data-id="block-v1:Ministry_of_Education_and_Science_of_Ukraine+IT8+2022_9df2133f+type@html+block@853ca05b351e4d0d8fe6bcfed8664f8f">
<div class="xblock xblock-public_view xblock-public_view-html xmodule_display xmodule_HtmlBlock" data-course-id="course-v1:Ministry_of_Education_and_Science_of_Ukraine+IT8+2022_9df2133f" data-init="XBlockToXModuleShim" data-runtime-class="LmsRuntime" data-runtime-version="1" data-block-type="html" data-usage-id="block-v1:Ministry_of_Education_and_Science_of_Ukraine+IT8+2022_9df2133f+type@html+block@853ca05b351e4d0d8fe6bcfed8664f8f" data-request-token="2c54112c366e11f1970c721aa9a92f15" data-graded="True" data-has-score="False">
<script type="json/xblock-args" class="xblock-json-init-args">
{"xmodule-type": "HTMLModule"}
</script>
<h3 class="hd hd-2"><img src="data:image/png;base64,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" alt="" /></h3>
</div>
</div>
<div class="vert vert-5" data-id="block-v1:Ministry_of_Education_and_Science_of_Ukraine+IT8+2022_9df2133f+type@problem+block@3b6f2cae01064d409b2efc0af0c1631c">
<div class="xblock xblock-public_view xblock-public_view-problem xmodule_display xmodule_ProblemBlock" data-course-id="course-v1:Ministry_of_Education_and_Science_of_Ukraine+IT8+2022_9df2133f" data-block-type="problem" data-usage-id="block-v1:Ministry_of_Education_and_Science_of_Ukraine+IT8+2022_9df2133f+type@problem+block@3b6f2cae01064d409b2efc0af0c1631c" data-request-token="2c54112c366e11f1970c721aa9a92f15" data-graded="True" data-has-score="True">
<div class="page-banner"><div class="alert alert-warning"><span class="icon icon-alert fa fa fa-warning" aria-hidden="true"></span><div class="message-content">Завдання доступне для перегляду та виконання після <a href=/register>реєстрації</a>/<a href=/login>авторизації</a> на платформі.</div></div></div>
</div>
</div>
</div>
<script type="text/javascript">
(function (require) {
require(['/static/js/dateutil_factory.762fd6ff462b.js?raw'], function () {
require(['js/dateutil_factory'], function (DateUtilFactory) {
DateUtilFactory.transform('.localized-datetime');
});
});
}).call(this, require || RequireJS.require);
</script>
<script>
function emit_event(message) {
parent.postMessage(message, '*');
}
</script>
</div>
<div class="xblock xblock-public_view xblock-public_view-vertical" data-course-id="course-v1:Ministry_of_Education_and_Science_of_Ukraine+IT8+2022_9df2133f" data-init="VerticalStudentView" data-runtime-class="LmsRuntime" data-runtime-version="1" data-block-type="vertical" data-usage-id="block-v1:Ministry_of_Education_and_Science_of_Ukraine+IT8+2022_9df2133f+type@vertical+block@5d205dc3d319442c8cb367525aadd8f8" data-request-token="2c54112c366e11f1970c721aa9a92f15" data-graded="True" data-has-score="False">
<div class="vert-mod">
<div class="vert vert-0" data-id="block-v1:Ministry_of_Education_and_Science_of_Ukraine+IT8+2022_9df2133f+type@html+block@bcfaf63e87ac4f2e8debd3fa139af944">
<div class="xblock xblock-public_view xblock-public_view-html xmodule_display xmodule_HtmlBlock" data-course-id="course-v1:Ministry_of_Education_and_Science_of_Ukraine+IT8+2022_9df2133f" data-init="XBlockToXModuleShim" data-runtime-class="LmsRuntime" data-runtime-version="1" data-block-type="html" data-usage-id="block-v1:Ministry_of_Education_and_Science_of_Ukraine+IT8+2022_9df2133f+type@html+block@bcfaf63e87ac4f2e8debd3fa139af944" data-request-token="2c54112c366e11f1970c721aa9a92f15" data-graded="True" data-has-score="False">
<script type="json/xblock-args" class="xblock-json-init-args">
{"xmodule-type": "HTMLModule"}
</script>
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<link rel="stylesheet"
href="https://lms.e-school.net.ua/asset-v1:Ministry_of_Education_and_Science_of_Ukraine+IT10+2022+type@asset+block@styles.css">
</head>
<body>
<section class="lesson pad-40 main__question" style="background-color: #fff !important;">
<div class="container-own">
<div>
<p class="c-black">Функції бувають з параметрами та без. Це залежить від того, чи потрібно нам щось передати функції, щоб вона працювала з цими даними.</p>
<p class="pad-t-20 c-black">Приклад <b><a href="https://replit.com/@informatika91/func#main.py" target="_blank">код</a></b></p>
<table class="mar-t-30" style="table-layout: fixed;">
<!-- <colgroup>
<col style="width: 60%" />
<col style="width: 40%" />
</colgroup> -->
<tr>
<td style="padding: 20px 30px !important; background: #7651EB;">
<h5 class="c-white" style="text-align: center !important;">Функція без параметрів</h5>
</td>
<td style="padding: 20px 30px !important; background: #7651EB;">
<h5 class="c-white" style="text-align: center !important;">Функція з параметрами</h5>
</td>
</tr>
<tr>
<td style="padding: 30px;">
<p class="c-black" style="text-align: left !important;">def like(): <br>
print("я люблю музику") <br>
like()</p>
</td>
<td>
<p class="c-black" style="text-align: left !important;">def like(group):<br>
print("я люблю музику",group)<br>
print("Яка твоя улюблена група?")<br>
group =input()<br>
like(group)</p>
</td>
</tr>
</table>
</div>
</div>
</section>
</body>
</html>
</div>
</div>
<div class="vert vert-1" data-id="block-v1:Ministry_of_Education_and_Science_of_Ukraine+IT8+2022_9df2133f+type@html+block@81e9f32ee4b6400c985fe52c5afaffa3">
<div class="xblock xblock-public_view xblock-public_view-html xmodule_display xmodule_HtmlBlock" data-course-id="course-v1:Ministry_of_Education_and_Science_of_Ukraine+IT8+2022_9df2133f" data-init="XBlockToXModuleShim" data-runtime-class="LmsRuntime" data-runtime-version="1" data-block-type="html" data-usage-id="block-v1:Ministry_of_Education_and_Science_of_Ukraine+IT8+2022_9df2133f+type@html+block@81e9f32ee4b6400c985fe52c5afaffa3" data-request-token="2c54112c366e11f1970c721aa9a92f15" data-graded="True" data-has-score="False">
<script type="json/xblock-args" class="xblock-json-init-args">
{"xmodule-type": "HTMLModule"}
</script>
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<link rel="stylesheet"
href="https://lms.e-school.net.ua/asset-v1:Ministry_of_Education_and_Science_of_Ukraine+IT10+2022+type@asset+block@styles.css">
</head>
<body>
<section class="lesson pad-40 main__question" style="background-color: #fff !important;">
<div class="container-own">
<div>
<ol class="list c-black">
<li>
<p class="c-black pad-t-4">Протестуйте програму, як вона працює.</p>
</li>
<li>
<p class="c-black pad-t-4">Змініть її так, щоб функція мала 2 параметри.</p>
</li>
</ol>
<p class="c-black pad-t-20">def like(group):<br>
print("я люблю музику",group)<br>
print("Яка твоя улюблена група?")<br>
group =input()<br>
like(group)</p>
</div>
</div>
</section>
</body>
</html>
</div>
</div>
</div>
<script type="text/javascript">
(function (require) {
require(['/static/js/dateutil_factory.762fd6ff462b.js?raw'], function () {
require(['js/dateutil_factory'], function (DateUtilFactory) {
DateUtilFactory.transform('.localized-datetime');
});
});
}).call(this, require || RequireJS.require);
</script>
<script>
function emit_event(message) {
parent.postMessage(message, '*');
}
</script>
</div>
<div class="xblock xblock-public_view xblock-public_view-vertical" data-course-id="course-v1:Ministry_of_Education_and_Science_of_Ukraine+IT8+2022_9df2133f" data-init="VerticalStudentView" data-runtime-class="LmsRuntime" data-runtime-version="1" data-block-type="vertical" data-usage-id="block-v1:Ministry_of_Education_and_Science_of_Ukraine+IT8+2022_9df2133f+type@vertical+block@f9551e9b42e24522b58b090660eebf17" data-request-token="2c54112c366e11f1970c721aa9a92f15" data-graded="True" data-has-score="False">
<div class="vert-mod">
<div class="vert vert-0" data-id="block-v1:Ministry_of_Education_and_Science_of_Ukraine+IT8+2022_9df2133f+type@html+block@8cbf3b3f0b364813b84bd5ac729d6959">
<div class="xblock xblock-public_view xblock-public_view-html xmodule_display xmodule_HtmlBlock" data-course-id="course-v1:Ministry_of_Education_and_Science_of_Ukraine+IT8+2022_9df2133f" data-init="XBlockToXModuleShim" data-runtime-class="LmsRuntime" data-runtime-version="1" data-block-type="html" data-usage-id="block-v1:Ministry_of_Education_and_Science_of_Ukraine+IT8+2022_9df2133f+type@html+block@8cbf3b3f0b364813b84bd5ac729d6959" data-request-token="2c54112c366e11f1970c721aa9a92f15" data-graded="True" data-has-score="False">
<script type="json/xblock-args" class="xblock-json-init-args">
{"xmodule-type": "HTMLModule"}
</script>
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<link rel="stylesheet"
href="https://lms.e-school.net.ua/asset-v1:Ministry_of_Education_and_Science_of_Ukraine+IT10+2022+type@asset+block@styles.css">
</head>
<body>
<section class="lesson pad-40 main__question" style="background-color: #fff !important;">
<div class="container-own">
<div>
<p class="c-black">Пригадаємо, що таке в теорії музики поняття «мажор» і «мінор». Зазвичай мажорну музику ми сприймаємо як позитивну, бадьору, а мінорну — як сумну, можливо, навіть негативну.</p>
<p class="pad-t-30 c-black">Спробуємо перевести ці поняття в код з двома функціями.</p>
<p class="pad-t-20 c-black">def major():<br>
print("мажор")<br>
def minor():<br>
print("мінор")<br>
x=int(input())<br>
if x>0:<br>
major()<br>
else:<br>
minor()</p>
<img src="https://lms.e-school.net.ua/asset-v1:Ministry_of_Education_and_Science_of_Ukraine+IT3+2022+type@asset+block@8-l6-3.png" alt="" class="mar-t-30">
<p class="pad-t-30 c-black">Залежно від значення введеного числа x, користувачам пропонується мажорна чи мінорна гама.</p>
</div>
</div>
</section>
</body>
</html>
</div>
</div>
<div class="vert vert-1" data-id="block-v1:Ministry_of_Education_and_Science_of_Ukraine+IT8+2022_9df2133f+type@html+block@9af9a98ea3884cb9b64410ab79d09dd7">
<div class="xblock xblock-public_view xblock-public_view-html xmodule_display xmodule_HtmlBlock" data-course-id="course-v1:Ministry_of_Education_and_Science_of_Ukraine+IT8+2022_9df2133f" data-init="XBlockToXModuleShim" data-runtime-class="LmsRuntime" data-runtime-version="1" data-block-type="html" data-usage-id="block-v1:Ministry_of_Education_and_Science_of_Ukraine+IT8+2022_9df2133f+type@html+block@9af9a98ea3884cb9b64410ab79d09dd7" data-request-token="2c54112c366e11f1970c721aa9a92f15" data-graded="True" data-has-score="False">
<script type="json/xblock-args" class="xblock-json-init-args">
{"xmodule-type": "HTMLModule"}
</script>
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<link rel="stylesheet"
href="https://lms.e-school.net.ua/asset-v1:Ministry_of_Education_and_Science_of_Ukraine+IT10+2022+type@asset+block@styles.css">
</head>
<body>
<section class="lesson pad-40 main__question" style="background-color: #fff !important;">
<div class="container-own">
<div>
<p class="c-black">Допишіть у функції виведення інформації про <b><a href="https://uk.wikipedia.org/wiki/%D0%A1%D0%B8%D1%81%D1%82%D0%B5%D0%BC%D0%B0_%D0%BC%D0%B0%D0%B6%D0%BE%D1%80-%D0%BC%D1%96%D0%BD%D0%BE%D1%80" target="_blank">систему мажор / мінор</a></b>.</p>
<p class="pad-t-20 c-black">def like(group):<br>
print("я люблю музику",group)<br>
print("Яка твоя улюблена група?")<br>
group =input()<br>
like(group)</p>
</div>
</div>
</section>
</body>
</html>
</div>
</div>
</div>
<script type="text/javascript">
(function (require) {
require(['/static/js/dateutil_factory.762fd6ff462b.js?raw'], function () {
require(['js/dateutil_factory'], function (DateUtilFactory) {
DateUtilFactory.transform('.localized-datetime');
});
});
}).call(this, require || RequireJS.require);
</script>
<script>
function emit_event(message) {
parent.postMessage(message, '*');
}
</script>
</div>
<div class="xblock xblock-public_view xblock-public_view-vertical" data-course-id="course-v1:Ministry_of_Education_and_Science_of_Ukraine+IT8+2022_9df2133f" data-init="VerticalStudentView" data-runtime-class="LmsRuntime" data-runtime-version="1" data-block-type="vertical" data-usage-id="block-v1:Ministry_of_Education_and_Science_of_Ukraine+IT8+2022_9df2133f+type@vertical+block@2ad2bb12344b4a08951e4c79273d1e6d" data-request-token="2c54112c366e11f1970c721aa9a92f15" data-graded="True" data-has-score="False">
<div class="vert-mod">
<div class="vert vert-0" data-id="block-v1:Ministry_of_Education_and_Science_of_Ukraine+IT8+2022_9df2133f+type@html+block@e1ed6e361d6244d9ba0afd48ed96b317">
<div class="xblock xblock-public_view xblock-public_view-html xmodule_display xmodule_HtmlBlock" data-course-id="course-v1:Ministry_of_Education_and_Science_of_Ukraine+IT8+2022_9df2133f" data-init="XBlockToXModuleShim" data-runtime-class="LmsRuntime" data-runtime-version="1" data-block-type="html" data-usage-id="block-v1:Ministry_of_Education_and_Science_of_Ukraine+IT8+2022_9df2133f+type@html+block@e1ed6e361d6244d9ba0afd48ed96b317" data-request-token="2c54112c366e11f1970c721aa9a92f15" data-graded="True" data-has-score="False">
<script type="json/xblock-args" class="xblock-json-init-args">
{"xmodule-type": "HTMLModule"}
</script>
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<link rel="stylesheet"
href="https://lms.e-school.net.ua/asset-v1:Ministry_of_Education_and_Science_of_Ukraine+IT10+2022+type@asset+block@styles.css">
</head>
<body>
<section class="lesson pad-40 main__question" style="background-color: #fff !important;">
<div class="container-own">
<div>
<p class="c-black">Почнемо з простого прикладу, як виконавці починають з вправ на розспівування.</p>
<p class="pad-t-30 c-black">Будемо повторювати головний звук задану кількість разів</p>
<p class="pad-t-20 c-black">def nota(zv):<br>
print(zv, end=" ")<br><br>
zv=input("введіть звук")<br>
count=int(input("введіть тривалість"))<br>
for count in range(1,count):<br>
nota(zv)</p>
<img src="https://lms.e-school.net.ua/asset-v1:Ministry_of_Education_and_Science_of_Ukraine+IT3+2022+type@asset+block@8-l6-4.png" alt="" class="mar-t-30">
<p class="pad-t-30 c-black">Побудуємо гамму з допомогою виклику функції та циклу.</p>
<p class="pad-t-20 c-black">def nota(x):<br>
if x==1:print ("до")<br>
if x==2:print ("рe")<br>
if x==3:print ("мі")<br>
if x==4:print ("фa")<br>
if x==5:print ("соль")<br>
if x==6:print("ля")<br>
if x==7:print ("сі")<br><br>
for x in range(1,8):<br>
nota(x)</p>
</div>
</div>
</section>
</body>
</html>
</div>
</div>
<div class="vert vert-1" data-id="block-v1:Ministry_of_Education_and_Science_of_Ukraine+IT8+2022_9df2133f+type@html+block@80895675b20f4849a7998b3afd97c0e5">
<div class="xblock xblock-public_view xblock-public_view-html xmodule_display xmodule_HtmlBlock" data-course-id="course-v1:Ministry_of_Education_and_Science_of_Ukraine+IT8+2022_9df2133f" data-init="XBlockToXModuleShim" data-runtime-class="LmsRuntime" data-runtime-version="1" data-block-type="html" data-usage-id="block-v1:Ministry_of_Education_and_Science_of_Ukraine+IT8+2022_9df2133f+type@html+block@80895675b20f4849a7998b3afd97c0e5" data-request-token="2c54112c366e11f1970c721aa9a92f15" data-graded="True" data-has-score="False">
<script type="json/xblock-args" class="xblock-json-init-args">
{"xmodule-type": "HTMLModule"}
</script>
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<link rel="stylesheet"
href="https://lms.e-school.net.ua/asset-v1:Ministry_of_Education_and_Science_of_Ukraine+IT10+2022+type@asset+block@styles.css">
</head>
<body>
<section class="lesson pad-40 main__question" style="background-color: #fff !important;">
<div class="container-own">
<div>
<p class="c-black">Змініть код програми так, щоб цикл містився в самій функції. Вона прийматиме 2 аргументи (ноту та кількість її повторів).</p>
<p class="pad-t-20 c-black">def nota(zv):<br>
print(zv, end=" ")<br><br>
zv=input("введіть звук")<br>
count=int(input("введіть тривалість"))<br>
for count in range(1,count):<br>
nota(zv)</p>
<p class="c-black pad-t-20"><b><a href="https://replit.com/@informatika91/zavdannia-4#main.py" target="_blank">Код</a></b></p>
</div>
</div>
</section>
</body>
</html>
</div>
</div>
</div>
<script type="text/javascript">
(function (require) {
require(['/static/js/dateutil_factory.762fd6ff462b.js?raw'], function () {
require(['js/dateutil_factory'], function (DateUtilFactory) {
DateUtilFactory.transform('.localized-datetime');
});
});
}).call(this, require || RequireJS.require);
</script>
<script>
function emit_event(message) {
parent.postMessage(message, '*');
}
</script>
</div>
<div class="xblock xblock-public_view xblock-public_view-vertical" data-course-id="course-v1:Ministry_of_Education_and_Science_of_Ukraine+IT8+2022_9df2133f" data-init="VerticalStudentView" data-runtime-class="LmsRuntime" data-runtime-version="1" data-block-type="vertical" data-usage-id="block-v1:Ministry_of_Education_and_Science_of_Ukraine+IT8+2022_9df2133f+type@vertical+block@1811a73c4b1e49139f4eae02dcfd2168" data-request-token="2c54112c366e11f1970c721aa9a92f15" data-graded="True" data-has-score="False">
<div class="vert-mod">
<div class="vert vert-0" data-id="block-v1:Ministry_of_Education_and_Science_of_Ukraine+IT8+2022_9df2133f+type@html+block@6d0c9f5b096c4d58b065910ed5ff7c92">
<div class="xblock xblock-public_view xblock-public_view-html xmodule_display xmodule_HtmlBlock" data-course-id="course-v1:Ministry_of_Education_and_Science_of_Ukraine+IT8+2022_9df2133f" data-init="XBlockToXModuleShim" data-runtime-class="LmsRuntime" data-runtime-version="1" data-block-type="html" data-usage-id="block-v1:Ministry_of_Education_and_Science_of_Ukraine+IT8+2022_9df2133f+type@html+block@6d0c9f5b096c4d58b065910ed5ff7c92" data-request-token="2c54112c366e11f1970c721aa9a92f15" data-graded="True" data-has-score="False">
<script type="json/xblock-args" class="xblock-json-init-args">
{"xmodule-type": "HTMLModule"}
</script>
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<link rel="stylesheet"
href="https://lms.e-school.net.ua/asset-v1:Ministry_of_Education_and_Science_of_Ukraine+IT10+2022+type@asset+block@styles.css">
</head>
<body>
<section class="lesson pad-40 main__question" style="background-color: #fff !important;">
<div class="container-own">
<div>
<p class="c-black">Функціями користуються також для повернення значень, застосовуючи <b>return</b> (повернути).</p>
<img src="https://lms.e-school.net.ua/asset-v1:Ministry_of_Education_and_Science_of_Ukraine+IT3+2022+type@asset+block@8-l6-5.png" alt="" class="mar-t-30">
<p class="pad-t-30 c-black">Наприклад, виведемо назви нот за їхнім номером гаммі</p>
<p class="pad-t-20 c-black">def nota(x):<br>
if x==1:return "до"<br>
if x==2:return "рe"<br>
if x==3:return "мі"<br>
if x==4:return "фa"<br>
if x==5:return "соль"<br>
if x==6:return "ля"<br>
if x==7:return "сі"<br><br>
x=int(input())<br>
print(nota(x))</p>
<p class="pad-t-20 c-black"><b><a href="https://replit.com/@LiudmilaBulyghi/BitesizedColorfulCharacters#main.py" target="_blank">Код</a></b></p>
<p class="pad-t-30 c-black"><b>return</b> повертає значення, його можна вивести на екран (як в прикладі) або присвоїти це значення змінній.</p>
<p class="pad-t-30 c-black">В Python функції можуть повертати кілька змінних. Наприклад, можемо побудувати акорд. Наприклад:</p>
<p class="pad-t-20 c-black">def nota(x):<br>
if x==1:return "до","мі", "соль"</p>
</div>
</div>
</section>
</body>
</html>
</div>
</div>
<div class="vert vert-1" data-id="block-v1:Ministry_of_Education_and_Science_of_Ukraine+IT8+2022_9df2133f+type@html+block@f7556ed45f514827bdf90bcea1146aaf">
<div class="xblock xblock-public_view xblock-public_view-html xmodule_display xmodule_HtmlBlock" data-course-id="course-v1:Ministry_of_Education_and_Science_of_Ukraine+IT8+2022_9df2133f" data-init="XBlockToXModuleShim" data-runtime-class="LmsRuntime" data-runtime-version="1" data-block-type="html" data-usage-id="block-v1:Ministry_of_Education_and_Science_of_Ukraine+IT8+2022_9df2133f+type@html+block@f7556ed45f514827bdf90bcea1146aaf" data-request-token="2c54112c366e11f1970c721aa9a92f15" data-graded="True" data-has-score="False">
<script type="json/xblock-args" class="xblock-json-init-args">
{"xmodule-type": "HTMLModule"}
</script>
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<link rel="stylesheet"
href="https://lms.e-school.net.ua/asset-v1:Ministry_of_Education_and_Science_of_Ukraine+IT10+2022+type@asset+block@styles.css">
</head>
<body>
<section class="lesson pad-40 main__question" style="background-color: #fff !important;">
<div class="container-own">
<div>
<p class="c-black">Вмієте будувати <b><a href="https://uk.wikipedia.org/wiki/%D0%90%D0%BA%D0%BE%D1%80%D0%B4" target="_blank">акорди</a></b>? Якщо ні, то саме час навчитися. Спробуємо побудувати <b><a href="https://uk.wikipedia.org/wiki/%D0%A2%D1%80%D0%B8%D0%B7%D0%B2%D1%83%D0%BA" target="_blank">тризвуки</a></b>.</p>
<img src="https://lms.e-school.net.ua/asset-v1:Ministry_of_Education_and_Science_of_Ukraine+IT3+2022+type@asset+block@8-l6-6.png" alt="Python" class="mar-t-20">
<p class="pad-t-20 c-black">Допишіть виведення акордів в програму.</p>
<p class="pad-t-20 c-black">def nota(x):<br>
if x==1:return "до","мі", "соль"</p>
</div>
</div>
</section>
</body>
</html>
</div>
</div>
</div>
<script type="text/javascript">
(function (require) {
require(['/static/js/dateutil_factory.762fd6ff462b.js?raw'], function () {
require(['js/dateutil_factory'], function (DateUtilFactory) {
DateUtilFactory.transform('.localized-datetime');
});
});
}).call(this, require || RequireJS.require);
</script>
<script>
function emit_event(message) {
parent.postMessage(message, '*');
}
</script>
</div>
<div class="xblock xblock-public_view xblock-public_view-vertical" data-course-id="course-v1:Ministry_of_Education_and_Science_of_Ukraine+IT8+2022_9df2133f" data-init="VerticalStudentView" data-runtime-class="LmsRuntime" data-runtime-version="1" data-block-type="vertical" data-usage-id="block-v1:Ministry_of_Education_and_Science_of_Ukraine+IT8+2022_9df2133f+type@vertical+block@38e014e0f7964e25b3ea13abfafc63cf" data-request-token="2c54112c366e11f1970c721aa9a92f15" data-graded="True" data-has-score="False">
<div class="vert-mod">
<div class="vert vert-0" data-id="block-v1:Ministry_of_Education_and_Science_of_Ukraine+IT8+2022_9df2133f+type@html+block@378e857aa7934a469d8af48d966cd942">
<div class="xblock xblock-public_view xblock-public_view-html xmodule_display xmodule_HtmlBlock" data-course-id="course-v1:Ministry_of_Education_and_Science_of_Ukraine+IT8+2022_9df2133f" data-init="XBlockToXModuleShim" data-runtime-class="LmsRuntime" data-runtime-version="1" data-block-type="html" data-usage-id="block-v1:Ministry_of_Education_and_Science_of_Ukraine+IT8+2022_9df2133f+type@html+block@378e857aa7934a469d8af48d966cd942" data-request-token="2c54112c366e11f1970c721aa9a92f15" data-graded="True" data-has-score="False">
<script type="json/xblock-args" class="xblock-json-init-args">
{"xmodule-type": "HTMLModule"}
</script>
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<link rel="stylesheet"
href="https://lms.e-school.net.ua/asset-v1:Ministry_of_Education_and_Science_of_Ukraine+IT10+2022+type@asset+block@styles.css">
</head>
<body>
<section class="lesson pad-40 main__question" style="background-color: #fff !important;">
<div class="container-own">
<div>
<p class="c-black">Зверніть увагу на те, що, хоча ми передаємо у функцію значення змінної x, функція приймає його в змінну n, тобто створює свою локальну змінну.</p>
<p class="pad-t-30 c-black">def nota(n):<br>
if n==1:return "до"<br>
if n==2:return "рe"<br>
if n==3:return "мі"<br>
if n==4:return "фa"<br>
if n==5:return "соль"<br>
if n==6:return "ля"<br>
if n==7:return "сі"<br><br>
x=int(input())<br>
print(nota(x))</p>
<p class="c-black pad-t-30">Але якщо ми спробуємо звернутися до змінних за межами блоку коду функції, то отримаємо помилку:</p>
<p class="pad-t-20 c-black">def nota(n):<br>
if n==1:return "до"<br>
if n==2:return "рe"<br>
if n==3:return "мі"<br>
if n==4:return "фa"<br>
if n==5:return "соль"<br>
if n==6:return "ля"<br>
if n==7:return "сі"<br><br>
x=int(input())<br>
print(nota(x))<br>
print(n)</p>
<p class="pad-t-30 c-black">Змінна, яка використовується в тілі функції, має область видимості лише в межах функції. Така змінна називається <b>локальною</b>.</p>
<p class="pad-t-30 c-black">А тепер навпаки: звернемося у функції до змінної, оголошеної в головній частині коду.</p>
<p class="pad-t-20 c-black">def nota(n):<br>
if n==1:return "до"<br>
if n==2:return "рe"<br>
if n==3:return "мі"<br>
if n==4:return "фa"<br>
if n==5:return "соль"<br>
if n==6:return "ля"<br>
if n==7:return "сі"<br>
print(x)<br><br>
x=int(input())<br>
print(nota(x))</p>
<p class="pad-t-30 c-black">Вона має область видимості і всередині функції, і в основній програмі. Така змінна називається <b>глобальною</b>.</p>
</div>
</div>
</section>
</body>
</html>
</div>
</div>
<div class="vert vert-1" data-id="block-v1:Ministry_of_Education_and_Science_of_Ukraine+IT8+2022_9df2133f+type@html+block@f43a26104b644f39beb22edf747791f2">
<div class="xblock xblock-public_view xblock-public_view-html xmodule_display xmodule_HtmlBlock" data-course-id="course-v1:Ministry_of_Education_and_Science_of_Ukraine+IT8+2022_9df2133f" data-init="XBlockToXModuleShim" data-runtime-class="LmsRuntime" data-runtime-version="1" data-block-type="html" data-usage-id="block-v1:Ministry_of_Education_and_Science_of_Ukraine+IT8+2022_9df2133f+type@html+block@f43a26104b644f39beb22edf747791f2" data-request-token="2c54112c366e11f1970c721aa9a92f15" data-graded="True" data-has-score="False">
<script type="json/xblock-args" class="xblock-json-init-args">
{"xmodule-type": "HTMLModule"}
</script>
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<link rel="stylesheet"
href="https://lms.e-school.net.ua/asset-v1:Ministry_of_Education_and_Science_of_Ukraine+IT10+2022+type@asset+block@styles.css">
</head>
<body>
<section class="lesson pad-40 main__question" style="background-color: #fff !important;">
<div class="container-own">
<div>
<p class="c-black">У прикладі побудови акордів визначте локальні та глобальні змінні.</p>
</div>
</div>
</section>
</body>
</html>
</div>
</div>
</div>
<script type="text/javascript">
(function (require) {
require(['/static/js/dateutil_factory.762fd6ff462b.js?raw'], function () {
require(['js/dateutil_factory'], function (DateUtilFactory) {
DateUtilFactory.transform('.localized-datetime');
});
});
}).call(this, require || RequireJS.require);
</script>
<script>
function emit_event(message) {
parent.postMessage(message, '*');
}
</script>
</div>
<div class="xblock xblock-public_view xblock-public_view-vertical" data-course-id="course-v1:Ministry_of_Education_and_Science_of_Ukraine+IT8+2022_9df2133f" data-init="VerticalStudentView" data-runtime-class="LmsRuntime" data-runtime-version="1" data-block-type="vertical" data-usage-id="block-v1:Ministry_of_Education_and_Science_of_Ukraine+IT8+2022_9df2133f+type@vertical+block@2c7f1dce2f1a43c1a805d8b5ec5d3af1" data-request-token="2c54112c366e11f1970c721aa9a92f15" data-graded="True" data-has-score="False">
<div class="vert-mod">
<div class="vert vert-0" data-id="block-v1:Ministry_of_Education_and_Science_of_Ukraine+IT8+2022_9df2133f+type@html+block@c80633bd25da4a419391a3f49485ca07">
<div class="xblock xblock-public_view xblock-public_view-html xmodule_display xmodule_HtmlBlock" data-course-id="course-v1:Ministry_of_Education_and_Science_of_Ukraine+IT8+2022_9df2133f" data-init="XBlockToXModuleShim" data-runtime-class="LmsRuntime" data-runtime-version="1" data-block-type="html" data-usage-id="block-v1:Ministry_of_Education_and_Science_of_Ukraine+IT8+2022_9df2133f+type@html+block@c80633bd25da4a419391a3f49485ca07" data-request-token="2c54112c366e11f1970c721aa9a92f15" data-graded="True" data-has-score="False">
<script type="json/xblock-args" class="xblock-json-init-args">
{"xmodule-type": "HTMLModule"}
</script>
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<link rel="stylesheet"
href="https://lms.e-school.net.ua/asset-v1:Ministry_of_Education_and_Science_of_Ukraine+IT10+2022+type@asset+block@styles.css">
</head>
<body>
<section class="lesson pad-40 main__question" style="background-color: #fff !important;">
<div class="container-own">
<div>
<p class="c-black">Прочитайте переспів українською популярної англійської пісеньки «The House That Jack Built» Івана Малковича і Юрія Андруховича.</p>
<p class="pad-t-30 c-black">Поміркуйте, як вивести пісню на екран, щоб не набирати більше одного разу рядки, які повторюються.</p>
<p class="c-black pad-t-30">ХАТКА, ЯКУ ЗБУДУВАВ СОБІ ДЖЕК <br>
(З англійської переклали Іван Малкович та Юрій Андрухович)</p>
<p class="pad-t-20 c-black">Але якщо ми спробуємо звернутися до змінних за межами блоку коду функції, то отримаємо помилку:</p>
<p class="pad-t-20 c-black">Це хатка, яку збудував собі Джек.<br>
Це сад i город,<br>
а це — сонях, як сонце,<br>
Який заглядає до Джека в віконце,<br>
до хатки, яку збудував собі Джек...<br><br>
А це ось комора.<br>
В коморі — пшениця,<br>
яку викрадає хитрюща синиця,<br>
і вже не печеться смачна паляниця<br>
у хатці, яку збудував собі Джек.<br><br>
Це кіт. Він сміливо виходить з воріт,<br>
і дуже він хоче зловити синицю,<br>
яка викрадає з комори пшеницю,<br>
з якої так смачно пекти паляницю<br>
у хатці, яку збудував собі Джек.<br><br>
А це — пес без хвоста,<br>
який каже «гав» на сміливця-кота,<br>
який дуже хоче спіймати синицю,<br>
яка викрадає з комори пшеницю,<br>
з якої так смачно пекти паляницю<br>
у хатці, яку збудував собі Джек.<br><br>
А це в нас корова ряба і рогата,<br>
яка щойно хвицнула пса без хвоста,<br>
який каже «гав» на сміливця-кота,<br>
який доганяє синицю,<br>
яка викрадає пшеницю,<br>
з якої так смачно пекти паляницю<br>
у хатці, яку збудував собі Джек.<br><br>
А це ось бабуся старенька, горбата,<br>
яку дуже любить корова рогата,<br>
яка щойно хвицнула пса без хвоста,<br>
який каже «гав» на сміливця-кота,<br>
який доганяє синицю,<br>
яка викрадає пшеницю,<br>
з якої так смачно пекти паляницю<br>
у хатці, яку збудував собі Джек.<br><br>
А це що за сплюх? Це, звичайно, пастух,<br>
якого картає бабуся горбата,<br>
яку дуже любить корова рогата,<br>
яка щойно хвицнула пса без хвоста,<br>
який каже «гав» на сміливця-кота,<br>
який доганяє синицю,<br>
яка викрадає пшеницю,<br>
з якої так смачно пекти паляницю<br>
у хатці, яку збудував собі Джек.<br><br>
А зараз поглянемо всі на блоху,<br>
що робить кусь-кусь пастухові-сплюху,<br>
якого картає бабуся горбата,<br>
яку дуже любить корова рогата,<br>
яка щойно хвицнула пса без хвоста,<br>
який каже «гав» на сміливця-кота,<br>
який доганяє синицю,<br>
яка викрадає пшеницю, -<br>
щоб діткам спекти<br>
о-о-ТАКУ ПАЛЯНИЦЮ<br>
у хатці, яку збудував собі Джек.</p>
</div>
</div>
</section>
</body>
</html>
</div>
</div>
</div>
<script type="text/javascript">
(function (require) {
require(['/static/js/dateutil_factory.762fd6ff462b.js?raw'], function () {
require(['js/dateutil_factory'], function (DateUtilFactory) {
DateUtilFactory.transform('.localized-datetime');
});
});
}).call(this, require || RequireJS.require);
</script>
<script>
function emit_event(message) {
parent.postMessage(message, '*');
}
</script>
</div>
<div class="xblock xblock-public_view xblock-public_view-vertical" data-course-id="course-v1:Ministry_of_Education_and_Science_of_Ukraine+IT8+2022_9df2133f" data-init="VerticalStudentView" data-runtime-class="LmsRuntime" data-runtime-version="1" data-block-type="vertical" data-usage-id="block-v1:Ministry_of_Education_and_Science_of_Ukraine+IT8+2022_9df2133f+type@vertical+block@a9efa9ed355142e2954cd3378fb7da89" data-request-token="2c54112c366e11f1970c721aa9a92f15" data-graded="True" data-has-score="False">
<div class="vert-mod">
<div class="vert vert-0" data-id="block-v1:Ministry_of_Education_and_Science_of_Ukraine+IT8+2022_9df2133f+type@html+block@4520c8ca38394e68ac0fe3fb8b8a6ba8">
<div class="xblock xblock-public_view xblock-public_view-html xmodule_display xmodule_HtmlBlock" data-course-id="course-v1:Ministry_of_Education_and_Science_of_Ukraine+IT8+2022_9df2133f" data-init="XBlockToXModuleShim" data-runtime-class="LmsRuntime" data-runtime-version="1" data-block-type="html" data-usage-id="block-v1:Ministry_of_Education_and_Science_of_Ukraine+IT8+2022_9df2133f+type@html+block@4520c8ca38394e68ac0fe3fb8b8a6ba8" data-request-token="2c54112c366e11f1970c721aa9a92f15" data-graded="True" data-has-score="False">
<script type="json/xblock-args" class="xblock-json-init-args">
{"xmodule-type": "HTMLModule"}
</script>
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<script src="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.3.4/js/bootstrap.min.js"></script>
<link href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.3.4/css/bootstrap.min.css" rel="stylesheet" />
<link rel="stylesheet"
href="https://lms.e-school.net.ua/asset-v1:Ministry_of_Education_and_Science_of_Ukraine+IT10+2022+type@asset+block@styles.css">
</head>
<body>
<section class="lesson pad-40 main__question" style="background-color: #fff !important;">
<div class="container-own">
<div>
<p class="c-black">Я розумію, для чого потрібні функції.<br>
Я можу пояснити, що таке параметри.<br>
Я можу використовувати функції в програмі.<br>
Я розумію, що таке область видимості для змінної.</p>
<h5 class="pad-t-30 c-black">Прагнути більшого</h5>
<p class="c-black pad-t-20">Музика і математика здаються іноді зовсім різними сутностями.<br>А може, це помилкова думка?</p>
<p class="pad-t-30 c-black">Переглянь відео</p>
<div class="inner-flex iframe-wrap" style="background-color: #1DC9FF;">
<div>
<h2 class="c-black">
Відео матеріал
</h2>
<p class="c-black">
Натисни для перегляду
</p>
</div>
<div>
<button id="btn1" class="button_own">
<p>Переглянути</p>
</button>
</div>
</div>
<ol class="list c-black mar-t-30">
<li>
<p class="c-black pad-t-4">Що нового для себе ви дізналися з відео?</p>
</li>
<li>
<p class="c-black pad-t-4">Чи можливо запрограмувати процеси, які описано у відео?</p>
</li>
<li>
<p class="c-black pad-t-4">Які знання для цього потрібні?</p>
</li>
<li>
<p class="c-black pad-t-4">Підсумуємо</p>
</li>
</ol>
<p class="pad-t-30 c-black">Наразі ми з вами мали справу з окремими змінними, ми маніпулювали ними, призначали нові значення, робили різноманітні розрахунки, використовували операції введення та виведення тощо. Ми навіть створювали функції для багаторазового опрацювання одних й тих самих змінних. Але якщо даних стає надто багато? І вони нам потрібні одночасно? Створення величезної кількості змінних - то не вихід. Тож настав час познайомилися зі структурами, які дозволяють об’єднувати різноманітні типи даних, пришвидчують роботу, дають змогу складне зробити простим. Мова йде про списки та словники. Запрошуємо вас на урок української літератури, який дозволить нам опанувати навичками роботи зі структурами мови програмування Python.</p>
</div>
</div>
<div class="modal fade lesson" id="myModal1" role="dialog">
<div class="modal-dialog">
<div class="modal-content">
<div class="modal-header">
<button type="button" class="close" data-dismiss="modal" aria-label="Close"><span
aria-hidden="true">×</span></button>
</div>
<div class="modal-body">
<iframe
class="iframe-inner"
id="ytplayer1"
src=""
allowfullscreen="true"
webkitallowfullscreen="true"
mozallowfullscreen="true">
</iframe>
</div>
</div>
</div>
</div>
<script>
$('#btn1').click(function () {
$("#myModal1").modal();
});
const inner_1 = 'https://www.youtube.com/embed/KP3IoOfXurc';
$(() => {
$('#myModal1').on('show.bs.modal', () => {
$('#ytplayer1').attr('src', inner_1);
});
$('#myModal1').on('hide.bs.modal', () => {
$('#ytplayer1').attr('src', '');
});
});
</script>
</section>
</body>
</html>
</div>
</div>
</div>
<script type="text/javascript">
(function (require) {
require(['/static/js/dateutil_factory.762fd6ff462b.js?raw'], function () {
require(['js/dateutil_factory'], function (DateUtilFactory) {
DateUtilFactory.transform('.localized-datetime');
});
});
}).call(this, require || RequireJS.require);
</script>
<script>
function emit_event(message) {
parent.postMessage(message, '*');
}
</script>
</div>
<div class="xblock xblock-public_view xblock-public_view-vertical" data-course-id="course-v1:Ministry_of_Education_and_Science_of_Ukraine+IT8+2022_9df2133f" data-init="VerticalStudentView" data-runtime-class="LmsRuntime" data-runtime-version="1" data-block-type="vertical" data-usage-id="block-v1:Ministry_of_Education_and_Science_of_Ukraine+IT8+2022_9df2133f+type@vertical+block@32d8d10ce1444db89bfd30a1415d5233" data-request-token="2c54112c366e11f1970c721aa9a92f15" data-graded="True" data-has-score="False">
<div class="vert-mod">
<div class="vert vert-0" data-id="block-v1:Ministry_of_Education_and_Science_of_Ukraine+IT8+2022_9df2133f+type@html+block@ab20957bb1b945a997fe5affed3f3f7e">
<div class="xblock xblock-public_view xblock-public_view-html xmodule_display xmodule_HtmlBlock" data-course-id="course-v1:Ministry_of_Education_and_Science_of_Ukraine+IT8+2022_9df2133f" data-init="XBlockToXModuleShim" data-runtime-class="LmsRuntime" data-runtime-version="1" data-block-type="html" data-usage-id="block-v1:Ministry_of_Education_and_Science_of_Ukraine+IT8+2022_9df2133f+type@html+block@ab20957bb1b945a997fe5affed3f3f7e" data-request-token="2c54112c366e11f1970c721aa9a92f15" data-graded="True" data-has-score="False">
<script type="json/xblock-args" class="xblock-json-init-args">
{"xmodule-type": "HTMLModule"}
</script>
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<link rel="stylesheet"
href="https://lms.e-school.net.ua/asset-v1:Ministry_of_Education_and_Science_of_Ukraine+IT10+2022+type@asset+block@styles.css">
</head>
<body>
<section class="lesson pad-40 main__question" style="background-color: #fff !important;">
<div class="container-own">
<div>
<h5 class="c-black">Задача 1</h5>
<p class="pad-t-20 c-black">Напишіть функцію, яка отримує рядок і ціле число n та повертає n копій заданого рядка.</p>
<h5 class="c-black pad-t-30">Задача 2</h5>
<p class="pad-t-20 c-black">Напишіть функцію, яка приймає ціле число і друкує інформацію про парність чи непарність числа.</p>
<h5 class="pad-t-30 c-black">Задача 3</h5>
<p class="pad-t-20 c-black">Напишіть функцію для програми ”Музичний автомат”. Дано пять пісень (назви за вашим вибором) Функція отримує ціле число n (від 1 до 5) та повертає назву пісні за отриманим номером.</p>
<h5 class="pad-t-30 c-black">Задача 4</h5>
<p class="pad-t-20 c-black">Напишіть функцію для програми ”Музичний автомат”. Дано пять пісень (назви за вашим вибором) Функція генерує рандомне число (не забудьте підключити бібліотеку random) та повертає назву пісні за отриманим номером.</p>
<h5 class="pad-t-30 c-black">Задача 5</h5>
<p class="pad-t-20 c-black">Переписати функцію задачи 4 таким чином, щоб ціле число n було глобальною змінною.</p>
<h5 class="pad-t-30 c-black">Задача 6</h5>
<p class="pad-t-20 c-black">Написати програму “Музичний автомат” яка буде програвати обрані користувачем пісні. Ознакою кінця роботи автомату є вибір користувачем 0 в якості номера пісні.</p>
</div>
</div>
</section>
</body>
</html>
</div>
</div>
</div>
<script type="text/javascript">
(function (require) {
require(['/static/js/dateutil_factory.762fd6ff462b.js?raw'], function () {
require(['js/dateutil_factory'], function (DateUtilFactory) {
DateUtilFactory.transform('.localized-datetime');
});
});
}).call(this, require || RequireJS.require);
</script>
<script>
function emit_event(message) {
parent.postMessage(message, '*');
}
</script>
</div>
Завершення тесту
У вас залишилися невиконані завдання. Ви впевнені, що хочете завершити тест?
© Всі права захищено