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Python has several built-in datatypes including int, float, bool, str, list, tuple, set, and dict.
int - represents integers
float - represents floating-point numbers
bool - represents boolean values True and False
str - represents strings
list - represents ordered sequences of values
tuple - represents ordered, immutable sequences of values
set - represents unordered collections of unique values
dict - represents unordered co
Flask is a micro web framework while Django is a full-stack web framework.
Flask is lightweight and flexible, allowing developers to choose their own libraries and tools.
Django is a batteries-included framework with built-in ORM, admin interface, and authentication system.
Flask is ideal for small to medium-sized projects, while Django is better suited for larger, more complex projects.
Flask has a smaller learning curve ...
Flask is lightweight and good for small projects, while Django is more robust and suitable for larger projects.
Flask is good for small projects with simple requirements
Django is more suitable for larger projects with complex requirements
Flask is lightweight and flexible, allowing for more customization
Django has a lot of built-in features and is more opinionated
Flask is better for RESTful APIs and microservices
Django i...
Decorators are functions that modify the behavior of other functions or classes without changing their source code.
Decorators are denoted by the @ symbol in Python.
They can be used to add functionality to a function or class, such as logging or timing.
Decorators can also be used to modify the behavior of a function or class, such as adding caching or memoization.
Decorators can be chained together to apply multiple modi
Generators are functions that can be paused and resumed, allowing for lazy evaluation of data.
Generators use the yield keyword to pause execution and return a value.
They can be used to generate an infinite sequence of values.
Generators are memory efficient as they only generate values when needed.
They are commonly used in data processing and asynchronous programming.
range and xrange are used to generate a sequence of numbers in Python.
range returns a list of numbers while xrange returns an iterator object.
range is memory-intensive while xrange is memory-efficient.
range is used in Python 3 while xrange is used in Python 2.
range can take three arguments: start, stop, and step while xrange can take two arguments: start and stop.
I applied via Naukri.com and was interviewed in Oct 2021. There was 1 interview round.
I applied via Naukri.com and was interviewed in Apr 2021. There were 5 interview rounds.
I applied via Job Portal and was interviewed in Jun 2021. There was 1 interview round.
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