TBM Technologies Backend Developer Interview Questions, Process, and Tips

A lambda function is a small anonymous function that can be used as a parameter for another function.

• Lambda functions are often used in functional programming languages.

• They are also commonly used in event-driven programming and serverless computing.

• Lambda functions can be used to perform a single task or to create more complex functions.

• They are often used to process data or to perform calculations.

• Lambda functions ar...read more

A variable is a named storage location in a computer's memory that holds a value.

• Variables are used to store data in a program.

• They can hold different types of data such as numbers, strings, and booleans.

• Variables can be assigned a value and that value can be changed throughout the program.

• They are declared using a data type and a name, such as int age;

• Variables are essential for programming as they allow for dynamic a

List is mutable while tuple is immutable.

• List can be modified while tuple cannot be modified.

• List uses square brackets [] while tuple uses parentheses ().

• List is used for homogeneous data while tuple is used for heterogeneous data.

• List is slower than tuple in terms of performance.

• Example of list: [1, 2, 3] and example of tuple: (1, 'a', True)

Pickling is the process of converting a Python object into a byte stream, while unpickling is the reverse process.

• Pickling is used to serialize and store data, while unpickling is used to deserialize and retrieve data.

• Pickling is useful for transferring data between different Python programs or storing data in a file.

• Unpickling can raise security concerns if the data being unpickled is from an untrusted source.

• Python's...read more

range and xrange are used to generate a sequence of numbers, but xrange is more memory efficient.

• range generates a list of numbers in memory, while xrange generates an iterator

• range is used in Python 3, while xrange is used in Python 2

• xrange is more memory efficient as it generates numbers on the fly

• range can be used with the built-in function list() to generate a list

A decorator is a design pattern that allows behavior to be added to an individual object, either statically or dynamically.

• Decorators wrap an object to modify its behavior.

• They provide a flexible alternative to subclassing for extending functionality.

• Python has built-in support for decorators, which are used extensively in frameworks like Flask and Django.