Globant Senior Software Engineer Interview Questions, Process, and Tips

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 ...read more

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...read more

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.