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đŸ”Ĩ Master Python Operators in One Go! 🐍đŸ’ģFrom Arithmetic to Logical and Bitwise, operators are the building blocks of Pyth...
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đŸ”Ĩ Master Python Operators in One Go! 🐍đŸ’ģ
From Arithmetic to Logical and Bitwise, operators are the building blocks of Python programming. This cheat sheet is your quick guide to understanding the essentials. 📜

💡 Tip: Practice these operators daily to boost your coding confidence and efficiency.

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06/11/2024

Must Know Differences in Python.

Master These Concepts......

If you're diving into Python or refining your skills, knowing the subtle differences between key concepts is crucial.
Here's a list that every Python developer should master:

👉 list vs tuple
list: Mutable, allows changes to elements.
tuple: Immutable, elements cannot be changed.

👉 == vs is
==: Compares values of objects.
is: Compares the identity of objects (whether they are the same object in memory).

👉 append() vs extend()
append(): Adds a single element to the end of a list.
extend(): Adds all elements of an iterable to the end of a list.

👉 break vs continue
break: Exits the loop entirely.
continue: Skips the current iteration and moves to the next.

👉 range() vs xrange() (Python 2)
range(): Returns a list of numbers.
xrange(): Returns an iterator that generates numbers on demand.

👉 global vs nonlocal
global: Declares a global variable.
nonlocal: Refers to variables in the nearest enclosing scope.

👉 sort() vs sorted()
sort(): Sorts the list in place and returns None.
sorted(): Returns a new sorted list, leaving the original unchanged.

👉 args vs kwargs
args: Passes a variable number of positional arguments.
kwargs: Passes a variable number of keyword arguments.

👉 _init_ vs _new_
init: Initializes a newly created object.
new: Creates a new instance of a class.

👉 deepcopy vs copy
copy: Creates a shallow copy of an object (only the outer level).
deepcopy: Creates a deep copy, including all nested objects.

What other differences do you think are important to know?

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{Concise in Programming}Concise in programming means expressing a concept or logic in a clear and efficient manner, usin...
18/08/2024

{Concise in Programming}
Concise in programming means expressing a concept or logic in a clear and efficient manner, using the fewest possible lines of code or characters without compromising readability.

Key aspects of concise code:
* Clarity: The code should be easy to understand and follow.
* Efficiency: It should perform the desired task without unnecessary steps.
* Readability: The code should be well-formatted and use meaningful variable and function names.

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18/08/2024

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