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The 'in' keyword in Python is used to check if a value exists in a sequence (list, tuple, string, etc.)
Used to check if a value is present in a sequence
Returns True if value is found, False otherwise
Can be used with lists, tuples, strings, dictionaries, etc.
Sorting in Python refers to arranging elements in a list in a specific order.
Sorting can be done using built-in functions like sorted() or sort()
Elements can be sorted in ascending or descending order
Sorting can be done based on custom key functions
A tuple in Python is an immutable collection of elements, similar to a list but cannot be changed once created.
Tuples are created using parentheses ()
Elements in a tuple can be of different data types
Tuples can be accessed using indexing or slicing
Tuples are faster than lists as they are immutable
A dictionary in Python is a collection of key-value pairs, where each key is unique and maps to a corresponding value.
In Python, dictionaries are created using curly braces {} and key-value pairs separated by colons.
Keys in a dictionary must be immutable objects, such as strings, numbers, or tuples.
Values in a dictionary can be of any data type, including lists, tuples, or even other dictionaries.
The difference of the list between strings is the unique strings present in each list.
Create two lists of strings
Identify the unique strings in each list
Compare the unique strings to find the difference
Reverse a linked list
Iteratively swap the next and previous pointers of each node
Use three pointers: current, previous, and next
Update the head pointer to the last node after reversing
Time and Space Complexity refers to the efficiency of an algorithm in terms of time and space usage.
Time Complexity: Measures the amount of time an algorithm takes to run as a function of the input size.
Space Complexity: Measures the amount of memory an algorithm requires as a function of the input size.
Time and space complexity help in analyzing and comparing different algorithms based on their efficiency.
Common ...
Object-oriented programming concepts are principles that help in designing and implementing software solutions using objects and classes.
Encapsulation: Bundling data and methods that operate on the data into a single unit (class)
Inheritance: Ability of a class to inherit properties and behavior from another class
Polymorphism: Ability to present the same interface for different data types
Abstraction: Hiding the com...
The super keyword in programming is used to access and call functions or variables from a parent class.
Used in object-oriented programming languages like Java, C++, and Python
Helps in achieving method overriding and method hiding
Example: super.methodName() or super.variableName
A binary tree is a data structure where each node has at most two children. Diameter of a binary tree is the longest path between any two nodes.
Binary tree is a tree data structure where each node has at most two children.
Diameter of a binary tree is the longest path between any two nodes.
In a binary search tree (BST), the diameter is the number of nodes on the longest path between two leaves.
I applied via Company Website and was interviewed in Dec 2023. There were 3 interview rounds.
Aptitude test is basically about the basic topics like profit loss, Simple Interest and compound Interest, Reasoning ability and pseudo code etc.
Python coding question
IoT ,sosal media, mobile
The difference of the list between strings is the unique strings present in each list.
Create two lists of strings
Identify the unique strings in each list
Compare the unique strings to find the difference
A tuple in Python is an immutable collection of elements, similar to a list but cannot be changed once created.
Tuples are created using parentheses ()
Elements in a tuple can be of different data types
Tuples can be accessed using indexing or slicing
Tuples are faster than lists as they are immutable
A dictionary in Python is a collection of key-value pairs, where each key is unique and maps to a corresponding value.
In Python, dictionaries are created using curly braces {} and key-value pairs separated by colons.
Keys in a dictionary must be immutable objects, such as strings, numbers, or tuples.
Values in a dictionary can be of any data type, including lists, tuples, or even other dictionaries.
The 'in' keyword in Python is used to check if a value exists in a sequence (list, tuple, string, etc.)
Used to check if a value is present in a sequence
Returns True if value is found, False otherwise
Can be used with lists, tuples, strings, dictionaries, etc.
Sorting in Python refers to arranging elements in a list in a specific order.
Sorting can be done using built-in functions like sorted() or sort()
Elements can be sorted in ascending or descending order
Sorting can be done based on custom key functions
I applied via Campus Placement and was interviewed in May 2024. There were 2 interview rounds.
Mostly question on c language
I applied via Campus Placement and was interviewed in Jul 2024. There were 3 interview rounds.
Quantitative questions
Dsa questions 60 mins, dsa, any online compiler
Consists of aptitude and basic pseudocode questions
I applied via Campus Placement and was interviewed in Apr 2024. There were 2 interview rounds.
1 hrs 60 questions peepared from india bix
React, redux, oops, projects, star patterns
Easy computer based round
It was easy, some maths and some coding questions were there
I'm a passionate software developer with 5 years of experience in full-stack development, eager to embrace new challenges and relocate.
I hold a Bachelor's degree in Computer Science from XYZ University.
I have experience working with technologies like JavaScript, React, and Node.js.
In my previous role at ABC Corp, I led a team to develop a web application that improved user engagement by 30%.
I am open to relocating for ...
I applied via Referral and was interviewed in Jan 2024. There were 3 interview rounds.
Very good experience
Normal coding question
I applied via Walk-in and was interviewed in Sep 2023. There were 2 interview rounds.
Basic Aptitude questions
A binary tree is a data structure where each node has at most two children. Diameter of a binary tree is the longest path between any two nodes.
Binary tree is a tree data structure where each node has at most two children.
Diameter of a binary tree is the longest path between any two nodes.
In a binary search tree (BST), the diameter is the number of nodes on the longest path between two leaves.
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