Answer:
Implicit type casting means the type casting done by the compiler during compilation of program whereas Explicit type casting means the programmer explicitly type casts the variables. This is the difference implicit and explicit type casting.
Explanation:
Type casting means the conversion of one data type into another data type. There are two types of type casting. They are Implicit type casting and Explicit type casting.
<u>Implicit type casting:</u> The type casting which is done by the compiler during the compilation of a program. This occurs when we assigning smaller data type to larger data type and also both the data type are compatible. Below example clears the above concepts.
Ex:

In the above example " i " is " int " data type whereas " l " is long data type but as we assigned the value of " i " to " l ". Here " int " and " long " are compatible data types and we assigned smaller data type ( int - i ) to larger data type ( long - l ) implicit type casting occurs.
<u>Explicit type casting:</u> The type casting which is done by the programmer explicitly to convert one data type into other data type. If we want to assign a value of larger data type to smaller data type explicit type casting is required. Below example clears the above concepts.
Ex: 

In the above example " d " is " double " data type whereas " l " is " long " data type. Here we are explicitly type casting to change larger data value ( double - d ) to smaller data value ( long - l ).
Answer:
O(N!), O(2N), O(N2), O(N), O(logN)
Explanation:
N! grows faster than any exponential functions, leave alone polynomials and logarithm. so O( N! ) would be slowest.
2^N would be bigger than N². Any exponential functions are slower than polynomial. So O( 2^N ) is next slowest.
Rest of them should be easier.
N² is slower than N and N is slower than logN as you can check in a graphing calculator.
NOTE: It is just nitpick but big-Oh is not necessary about speed / running time ( many programmers treat it like that anyway ) but rather how the time taken for an algorithm increase as the size of the input increases. Subtle difference.
Answer:
A light bulb produces light from electricity
The two Python data structures that are already thread-safe are list and tuples.
<h3>What are the data structures in Python?</h3>
Python is known to give room for its users to make their own Data Structures.
It helps one to be able to have total hold or control over their work or output functionality. Some key Data Structures are Stack, Queue, and others.
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