#data types in python

[stupidpersonhere]

I've been depressed the last couple of weeks so I decided to watch an Bee and Puppy Cat and please tell me why I saw Java snippet of subtracting and adding to the digits of Pi???

I kind find interesting they decided to write in Java, which is a multi platform language well known and stablished in the Industr and who is Jackson Nathan???

[roseband]

he literally just said on a rally (why is he even doing them still wtf) that he wants to bring the economy back to 1929 we're all so fucking screwed.... we're so fucking screwed

the social stuff can be mitigated... this can't, we're so screwed globally :|

[helloworldletscode]

Data types and input function

Programs use input to do certain work, and in order to receive it from another user, we can use the input function.

The input() function always turns the user input into a string, no matter which type of data was originally put into it.

Example:

cost_of_living=input() #user may write down an answer print(type(cost_of_living)) #to specify the data type of the input user has given

answer: <class 'str'> = string

But! You can't do math with strings, so sometimes we need to convert existing data type of a value.

cost= input() #default data type is a string cost=int(cost) #converts into integer cost=float(cost) #converts into float cost=str(cost) #back to string

Side notes: 1. You cannot convert any type of value to an integer or the float, only numeric values!

cost= "one hundred" cost=int(cost) #would result into an error

while:

cost= "100" cost=int(cost) #would convert string into an integer, as desired

2. Another important thing to remember, is that when we are creating a value as an integer, we use quotes "".

But in order to convert a variable into a string, we have to use a function str().

apples = 2 print("apples") # prints "apples", not the string with value 2 apples = str(apples) print(type(apples)) #<class 'str'> print(apples) #2

[relto]

why is the oracle php api like this. bite bite kill

[herovired12]

Mutable and Immutable in Python, offered by Hero Vired, provides a comprehensive exploration of different object data types in Python. The course covers the concepts of mutable and immutable objects, their differences, and their impact on programming. It is a valuable resource for better understanding Python's object data types.For More Information, Please Visit The Blog.

[nabiteachpoint]

ইনপুট নেওয়া শুরু করি Python বাংলায় পাইথন প্রোগ্রামিং Input Data type

[thegrowthtimes]

Getting Started with Python: A Beginner's Guide (pt 2)

They say teaching is the best way to learn. Consider subscribing to the website!

Expanding Your Knowledge: Collections and Control Flow In Part 1 of our beginner’s guide to Python, we covered the basics of variables, data types, and conditional statements. Now, let’s dive deeper into collections like lists, tuples, and dictionaries, as well as control flow mechanisms such as loops and functions. Lists: More Than Just Arrays As mentioned earlier, a list is a collection of…

[juliebowie]

Types of Programming Paradigms in Python You Should Know

Are you eager to elevate your Python skills and broaden your programming knowledge? Whether you’re looking to deepen your understanding of Python or exploring new ways to approach problem-solving in programming, this blog post is tailored for you. Equip yourself with the knowledge of different programming paradigms in Python and enhance your coding proficiency today! Read the full blog post here.

[pythoncoursetipsandtricks]

What are the data types in Python?

Python training It supports several built-in data types, which are fundamental for working with data and performing various operations. Here are the most common data types in Python:

Numeric Types

int: Represents integer values, both positive and negative.pythonCopy codemy_int = 42

float: Represents floating-point (decimal) numbers.pythonCopy codemy_float = 3.14159

complex: Represents complex numbers with a real and imaginary part.pythonCopy codemy_complex = 2 + 3j

Text Type

str: Represents strings, which are sequences of characters enclosed in single or double quotes.pythonCopy codemy_string = "Hello, Python!"

Sequence Types

list: Represents ordered collections of items. Lists can contain elements of different data types and are mutable.pythonCopy codemy_list = [1, 2, 3, "Python", True]

tuple: Similar to lists but immutable, meaning their contents cannot be changed once created.pythonCopy codemy_tuple = (1, 2, 3, "Python", True)

range: Represents a sequence of numbers, commonly used for iterations.pythonCopy codemy_range = range(1, 6) # Represents [1, 2, 3, 4, 5]

Mapping Type

dict: Represents dictionaries, which are collections of key-value pairs. Dictionaries are unordered.pythonCopy codemy_dict = {"name": "Alice", "age": 30, "city": "New York"}

Set Types

set: Represents an unordered collection of unique elements.pythonCopy codemy_set = {1, 2, 3, 4, 5}

frozenset: Similar to sets but immutable, meaning their contents cannot be changed after creation.pythonCopy codemy_frozenset = frozenset({1, 2, 3})

Boolean Type

bool: Represents Boolean values, either True or False.pythonCopy codeis_valid = True

Binary Types

bytes: Represents a sequence of bytes and is immutable.pythonCopy codemy_bytes = b"Hello"

bytearray: Similar to bytes but mutable.pythonCopy codemy_bytearray = bytearray([72, 101, 108, 108, 111])

None Type

NoneType: Represents the absence of a value or a null value. It is often used to indicate that a variable does not point to any object.pythonCopy codemy_var = None

[helloworldletscode]

Another type of data, used in python, is numerical data.

Unlike strings, numerical values are not quoted with quotation marks:

price = 30

Tip:

Big numbers can be written in a more readable way:

thousand = 1_000

print(thousand)

Output: 1000

million = 1_000_000

print(million)

Output: 1000000

a_really_long_number = 1_000_000_000

print(a_really_long_number)

Output= 1000000000

This way, it would be less confusing for a person dealing with the code!

Numbers can be used to perform some calculations and operations.

Examples:

Operation: Output:

print(110) 110

print(8 + 2) 10

print(10 - 5) 5

print(5 * 3) 15

print(10 / 5) 2.0

Float division: (10 / 5) would give a float number, meaning a number with digits after the coma (like 2.0)

Integer division: using division sign twice (10//5), would give an integer (like 2), without digits after the coma.

Exponentiation: 2**3 = 2*2*2, 5**3=125

👀 Details matter:

num1 = 10

num2 = "10"

Python recognizes num1 as a number and num2 as a string.

It would perform commands differently because of this:

print(2*num1) Output: 20

print(2*num2) Output: 1010

Another example:

print(2*"3+7") Output: 3+7 3+7

print(3+7) Output: 10

print("3+7") Output: 3+7

[postplus-protest]

Hey everyone! 

I know it’s been a minute, but with the recent news that Automattic has laid off a portion of its workforce (including a sizable percent of tumblr's staff), it's a good time to have a quick chat about the future.

Now, as far as we know, tumblr isn't going anywhere just yet. No need to panic! However, I do recommend that you take into consideration a few things.

1: Backup your tumblr! Here's tumblr's official guide to doing so. It's always a good idea to have backups of your data and now is a great time to do so.

*I’ll also be including a handful of other links walking you guys through other backup methods at the end of this post. As I understand it, each of them have different pros and cons, and it might be a good idea to have more than one type of backup depending on what you want to save/how you’d like the backup to look/etc.

2: Have some place your mutuals/friends can find you! A carrd or linktree is a great way to list off anywhere you might find yourself on the internet. 

3: Once again, don't panic! We don’t know that anything is happening to tumblr anytime soon—it just doesn’t hurt to have a backup. Better to have a plan now instead of being blindsided later.

*The other backup methods I’ve been able to find:

—First off, someone put together a document with several backup methods & pros and cons for each. (I believe it originated from a tumblr post, but with search being the way it is I haven’t been able to track it down.) This goes over a lot, but I’m adding a few more links to this post in case they might be helpful too. 

—This post and this video were a good guide to the older “bbolli tumblr-utils backup for beginners” method mentioned in the doc (I used them during the ban in 2018 to make sure I had my main blog saved).

—I’ve also found a handful of python & python 3 tumblr backup tutorial videos out there, in case those would be helpful for you. (I haven’t personally tried these methods out yet, but the videos seem to go over the updated version of tumblr-utils.

[trendingnow3-blog]

Day-1: Demystifying Python Variables: A Comprehensive Guide for Data Management

Python Boot Camp Series 2023.

Python is a powerful and versatile programming language used for a wide range of applications. One of the fundamental concepts in Python, and in programming in general, is working with variables. In this article, we will explore what variables are, how to use them effectively to manage data, and some best practices for their usage. What are Variables in Python? Definition of Variables In…

[thegrowthtimes]

Getting Started with Python: A Beginner's Guide (pt 1)

I was inspired to pursue mastery or expertise in the tech field like coding and development, and to do so there must be a foundation. Here is my beginning.. - I welcome the conversation.

Understanding Variables I was inspired to pursue expertise in the tech field, like coding and development. To achieve this, there must be a foundation. Here is my beginning. I welcome the conversation. In Python, a variable is a container for storing a value. You can assign a value to a variable using the “=” operator. The value can be of any data type, such as a string, integer, or…