amp-web-push-widget button.amp-subscribe { display: inline-flex; align-items: center; border-radius: 5px; border: 0; box-sizing: border-box; margin: 0; padding: 10px 15px; cursor: pointer; outline: none; font-size: 15px; font-weight: 500; background: #4A90E2; margin-top: 7px; color: white; box-shadow: 0 1px 1px 0 rgba(0, 0, 0, 0.5); -webkit-tap-highlight-color: rgba(0, 0, 0, 0); } /** * Jetpack related posts */ /** * The Gutenberg block */ .jp-related-posts-i2 { margin-top: 1.5rem; } .jp-related-posts-i2__list { --hgap: 1rem; display: flex; flex-wrap: wrap; column-gap: var(--hgap); row-gap: 2rem; margin: 0; padding: 0; list-style-type: none; } .jp-related-posts-i2__post { display: flex; flex-direction: column; /* Default: 2 items by row */ flex-basis: calc( ( 100% - var(--hgap) ) / 2 ); } /* Quantity qeuries: see https://alistapart.com/article/quantity-queries-for-css/ */ .jp-related-posts-i2__post:nth-last-child(n+3):first-child, .jp-related-posts-i2__post:nth-last-child(n+3):first-child ~ * { /* From 3 total items on, 3 items by row */ flex-basis: calc( ( 100% - var(--hgap) * 2 ) / 3 ); } .jp-related-posts-i2__post:nth-last-child(4):first-child, .jp-related-posts-i2__post:nth-last-child(4):first-child ~ * { /* Exception for 4 total items: 2 items by row */ flex-basis: calc( ( 100% - var(--hgap) ) / 2 ); } .jp-related-posts-i2__post-link { display: flex; flex-direction: column; row-gap: 0.5rem; width: 100%; margin-bottom: 1rem; line-height: 1.2; } .jp-related-posts-i2__post-link:focus-visible { outline-offset: 2px; } .jp-related-posts-i2__post-img { order: -1; max-width: 100%; } .jp-related-posts-i2__post-defs { margin: 0; list-style-type: unset; } /* Hide, except from screen readers */ .jp-related-posts-i2__post-defs dt { position: absolute; width: 1px; height: 1px; overflow: hidden; clip: rect(1px, 1px, 1px, 1px); white-space: nowrap; } .jp-related-posts-i2__post-defs dd { margin: 0; } /* List view */ .jp-relatedposts-i2[data-layout="list"] .jp-related-posts-i2__list { display: block; } .jp-relatedposts-i2[data-layout="list"] .jp-related-posts-i2__post { margin-bottom: 2rem; 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} #jp-relatedposts .jp-relatedposts-items-visual .jp-relatedposts-post-nothumbs span { margin-bottom: 1em; } /* List Layout */ #jp-relatedposts .jp-relatedposts-list .jp-relatedposts-post { clear: both; width: 100%; } #jp-relatedposts .jp-relatedposts-list .jp-relatedposts-post img.jp-relatedposts-post-img { float: left; overflow: hidden; max-width: 33%; margin-right: 3%; } #jp-relatedposts .jp-relatedposts-list h4.jp-relatedposts-post-title { display: inline-block; max-width: 63%; } /* * Responsive */ @media only screen and (max-width: 640px) { #jp-relatedposts .jp-relatedposts-items .jp-relatedposts-post { width: 50%; } #jp-relatedposts .jp-relatedposts-items .jp-relatedposts-post:nth-child(3n) { clear: left; } #jp-relatedposts .jp-relatedposts-items-visual { margin-right: 20px; } } @media only screen and (max-width: 320px) { #jp-relatedposts .jp-relatedposts-items .jp-relatedposts-post { width: 100%; clear: both; margin: 0 0 1em; } #jp-relatedposts .jp-relatedposts-list .jp-relatedposts-post img.jp-relatedposts-post-img, #jp-relatedposts .jp-relatedposts-list h4.jp-relatedposts-post-title { float: none; 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In this tutorial, we discuss the concept of Python programming language data types.
The data type is an important concept in every language including python language. Python language has a variety of data types to manipulate the python program. The value of every python language is has a data type.
In this topic, we can see some of the important data types in Python that are listed below.
Python numbers as a data type are denoted by integers, floating point numbers and complex numbers in Python language.
The above three dtat types are defined as int, float and complex respectively
Example
age=20 //this is a variable age holds value 20 as integer type average=56.7 //this is a variable average holds value 56.7 as float data type num=1+2j //this is a variable num holds value 1+2j as complex data type
Program
a=5 #integer number print("a is",a) b=4.55 #floating point number print("b is",b) c=1+2j #floating point number print("c is",c)
When the above code is executed, it produces the following results
a is 5 b is 4.55 c is (1+2j)
The string is a sequence character In Python, we can use single quotes, double quotes or triple quotes for string representation.
Multi-line string can be denoted between triple quotes(”’, “””)
Example
str1='This is a string' // single quotes represant a Strng str2="This is another string" //double quotes represent a String str3="""This is multi line string"""//triple quotes represent a multi line String
Program
str1='Hollow i am Python' print("str1[4]=",str1[4]) #display str1[4] print("str1[1:6]=",str1[0:6]) #display str1[1:6] print("str1[12:18]=",str1[12:18]) #display str1[12:18]
When the above code is executed, it produces the following results
str1[4]= o str1[1:6]= Hollow str1[12:18]=Python
This list is very easy to manipulate and a mostly used data type in python and it has an ordered sequential values in a single name.
All the items in a list may be the same type of variable but no need to be the same type.
It can have mixed data types
Example for list
marks=[45,67,87,65,48,98]; //list contains same data types
a=[34,54,56.7,”text”]//list contains different data type
Program
number=[2,4,6,8,10,12,14,16,18,20] print("number[2]=",number[2]) #display number[2] print("number[0:3]=",number[0:3]) #display number[0:3] print("number[7:]=",number[7:]) #display number[7:]
When the above code is executed, it produces the following results
number[2]= 6 number[0:3]= [2, 4, 6] number[7:]= [16, 18, 20]
A tuple is an ordered sequenced data type looks like a list, but both have some differences. Tuple has data between parenthesis and every data is separated by the symbol of “comma (,)”. A tuple can have a mix data type and its content can not be changed (immutable data type)
Example
Tuple1=() #empty tuple Tuple1=(345) #Tuple can have single data type Tuple3=("Blue", 555, 45.34, "Kamal", "Orange") #Tuple contains different data types colour=("Blue", "Red", "Black", "White", "Orange") #Tuple contains same data types
Program
tuple=(23,"Python",4.3,1+2j) #display tuple[2] print "tuple[2]=",tuple[2] #display tuple[3] print "tuple[3]=",tuple[3] #display tuple[0:3] print "tuple[0:3]=",tuple[0:3]
When the above code is executed, it produces the following results
tuple[2]= 4.3 tuple[3]= (1+2j) tuple[0:3]= (23, 'Python', 4.3)
Python set is an irregular collection of unique items. Sets have data between braces(curly brackets) and every data is separated by the symbol of “comma “;
Example
fruits={"Mango","Apple","Pine apple","Orange"} age={54,27,18,62,54,76,31}
Program
fruits={"Mango","Apple","Pine apple","Orange"} print(fruits)
When the above code is executed, it produces the following results
['Pine apple', 'Orange', 'Mango', 'Apple']
Python dictionary is an unordered collection of value with key-value pairs. Dictionaries are defined between curly brackets( braces) with each element of a pair of key-value.
When we use a huge amount of data we can use dictionary data type. when we know the key(pair of data) we can retrieve particular data or value
Dictionary form key: value
Example
Dict={1:name, 2:age, 3:male}
Program
Dict={1:34,2:56.5,3:'kumar'} #display dictionary variable print("Dict=",Dict)#display element Dictionary print("Dict[2]=",Dict[2])#display element Dict[2]
When the above code is executed, it produces the following results
Dict= {1: 34, 2: 56.5, 3: 'kumar'} Dict[2]=56.5
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