• ClipSaver
ClipSaver
Русские видео
  • Смешные видео
  • Приколы
  • Обзоры
  • Новости
  • Тесты
  • Спорт
  • Любовь
  • Музыка
  • Разное
Сейчас в тренде
  • Фейгин лайф
  • Три кота
  • Самвел адамян
  • А4 ютуб
  • скачать бит
  • гитара с нуля
Иностранные видео
  • Funny Babies
  • Funny Sports
  • Funny Animals
  • Funny Pranks
  • Funny Magic
  • Funny Vines
  • Funny Virals
  • Funny K-Pop

#10 Python Tutorial for Beginners | Data Types in Python скачать в хорошем качестве

#10 Python Tutorial for Beginners | Data Types in Python 7 лет назад

скачать видео

скачать mp3

скачать mp4

поделиться

телефон с камерой

телефон с видео

бесплатно

загрузить,

Не удается загрузить Youtube-плеер. Проверьте блокировку Youtube в вашей сети.
Повторяем попытку...
#10 Python Tutorial for Beginners | Data Types in Python
  • Поделиться ВК
  • Поделиться в ОК
  •  
  •  


Скачать видео с ютуб по ссылке или смотреть без блокировок на сайте: #10 Python Tutorial for Beginners | Data Types in Python в качестве 4k

У нас вы можете посмотреть бесплатно #10 Python Tutorial for Beginners | Data Types in Python или скачать в максимальном доступном качестве, видео которое было загружено на ютуб. Для загрузки выберите вариант из формы ниже:

  • Информация по загрузке:

Скачать mp3 с ютуба отдельным файлом. Бесплатный рингтон #10 Python Tutorial for Beginners | Data Types in Python в формате MP3:


Если кнопки скачивания не загрузились НАЖМИТЕ ЗДЕСЬ или обновите страницу
Если возникают проблемы со скачиванием видео, пожалуйста напишите в поддержку по адресу внизу страницы.
Спасибо за использование сервиса ClipSaver.ru



#10 Python Tutorial for Beginners | Data Types in Python

Check out our courses: Java Spring Boot AI Live Course: https://go.telusko.com/JavaSpringBootAI Coupon: TELUSKO20 (20% Discount) AI Powered DevOps with AWS - Live Course :- https://go.telusko.com/AIDevOps-AWS Coupon: TELUSKO20 (20% Discount) Master Java Spring Development : https://go.telusko.com/masterjava Coupon: TELUSKO20 (20% Discount) For More Queries WhatsApp or Call on : +919008963671 website : https://courses.telusko.com/ In this lecture we are discussing about DataTypes in Python: -- why it is important? -- how to use it ? Python has several built-in data types. Here are some of the most common ones: i) NoneType: This is a special data type that represents the absence of a value. It is similar to null in other languages. ii) Numbers: These can be integers, floating-point numbers, or complex numbers. iii) Booleans: These are values that represent True or False. iv) Lists: These are ordered collections of objects, enclosed in square brackets. v) Tuples: These are similar to lists, but are immutable (i.e., their contents cannot be changed), and are enclosed in parentheses. vi) Sets: These are unordered collections of unique elements, enclosed in curly braces. vii) Strings: These are sequences of characters, enclosed in single or double quotes. viii) Ranges: These are immutable sequences of numbers, and are commonly used to iterate over a sequence of numbers in a for loop. ix) Dictionaries: These are collections of key-value pairs, enclosed in curly braces. i)None Type a=None type(a) ii)Numbers int: if you want to assign a integer value to a variable a=5 type(a) float: if you want to assign a float value to a variable num =2.5 type(num) complex: if you want to assign a complex value to a variable num =2+9j type(num) type conversion: if you want to convert one data type to another data type a=5.6 b=int(a) type(b) # output : int k=float(b) type(k) # output : float c=complex(4,5) type(c) # output : complex iii)boolean: if you want to assign a variable with a boolean value a= True type(a) # output : bool bool=3 less then5 True type(bool) Sequence data types : if you want to assign a variable with multiple values List, Tuple, Set, String, Range. iv) List if you want to assign a variable with multiple values and you want to change the values -- In Python, a list is a collection of ordered and mutable elements enclosed in square brackets. Lists are one of the most commonly used data structures in Python because of their versatility and flexibility. lst=[25,36,45,12] type(lst) # output : list v) Tuple: if you want to assign a variable with multiple values and you donot want to change the values make immutable -- In Python, a tuple is a collection of ordered and immutable elements enclosed in parentheses. Tuples are similar to lists, but they cannot be modified once they are created, which makes them useful for storing data that should not be changed during the program's execution. t=(25,36,45,12,7) type(t) # output : tuple vi) Set: if you want to assign a variable with multiple values and you donot want to change the values and you donot want to duplicate values -- In Python, a set is an unordered collection of unique elements enclosed in curly braces. Sets are useful for storing data that should not contain duplicates, such as a list of users on a website. s={25,36,45,12,25,36} type(s) # output : set #output: {36, 12, 45, 25} vii) String: if you want to assign sequence of characters to a variable -- In Python, a string is a sequence of characters enclosed in single or double quotes. Strings are immutable, which means that they cannot be modified once they are created. str = "hello" type(str) # output : str we are not talk about char data type in python st='a' # every character is a string in python viii) Range: if you want to assign a variable with multiple values and you don't want to change the values and you want to generate a sequence of numbers -- In Python, a range is a sequence of numbers that is immutable and iterable. Ranges are commonly used to iterate over a sequence of numbers in a for loop. range(10) # range data type type(range(10)) # output : range list(range(2,10,2)) # output : [2, 4, 6, 8] ix) Dictionary: if you want to assign a variable with multiple values and you donot want to change the values and you want to assign a key to each value -- In Python, a dictionary is a collection of key-value pairs enclosed in curly braces. d={1:'a',2:'b',3:'c'} type(d) d1={'navin':'samsung','rahul':'iphone','kiran':'oneplus'} d1.values() # output : dict_values(['samsung', 'iphone', 'oneplus']) d1.keys() # output : dict_keys(['navin', 'rahul', 'kiran']) d['rahul'] #output : 'iphone' d1.get('kiran') #output : 'oneplus'

Comments

Контактный email для правообладателей: [email protected] © 2017 - 2025

Отказ от ответственности - Disclaimer Правообладателям - DMCA Условия использования сайта - TOS



Карта сайта 1 Карта сайта 2 Карта сайта 3 Карта сайта 4 Карта сайта 5