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Separate odd and even numbers from an array using Python.
Use list comprehension to filter odd and even numbers.
Example: For array [1, 2, 3, 4], evens = [2, 4], odds = [1, 3].
You can also use a loop to append to separate lists.
Example: Initialize two lists, iterate through the array, and append accordingly.
Binary search is an efficient algorithm for finding an item from a sorted list of items.
Binary search works on sorted arrays. Example: [1, 2, 3, 4, 5].
It divides the search interval in half. If the target is less than the middle element, search the left half.
If the target is greater, search the right half. Example: Searching for 3 in [1, 2, 3, 4, 5] results in mid index 2.
The time complexity is O(log n), making it...
Deep copy creates a new object and recursively copies the objects found in the original. Shallow copy creates a new object and references the objects found in the original.
Deep copy creates a new object and recursively copies all nested objects, while shallow copy creates a new object and references the nested objects.
Deep copy is used when you want to create a completely independent copy of an object, while shall...
Endpoints and methods for a book store API
Endpoints: /books (GET, POST), /books/{id} (GET, PUT, DELETE), /authors (GET, POST), /authors/{id} (GET, PUT, DELETE)
Methods: GET (retrieve data), POST (create new data), PUT (update existing data), DELETE (delete data)
Example: GET /books - retrieve all books, POST /books - add a new book to the store
Decorators are functions that modify the behavior of other functions. Lambda functions are anonymous functions defined using the lambda keyword.
Decorators are used to add functionality to existing functions without modifying their code.
Lambda functions are used for creating small, anonymous functions.
Example of decorator: @staticmethod decorator in Python.
Example of lambda function: lambda x: x*2
Multi threading and Multiprocessing are techniques used in Python to achieve parallelism and improve performance.
Multi threading allows multiple threads to run concurrently within the same process, sharing the same memory space.
Multiprocessing involves creating multiple processes to run tasks in parallel, each with its own memory space.
Multi threading is more suitable for I/O-bound tasks, while multiprocessing is ...
I applied via Campus Placement and was interviewed in Aug 2024. There were 2 interview rounds.
I am a passionate Python developer with experience in web development and data analysis.
Experienced in Python programming language
Skilled in web development using frameworks like Django and Flask
Proficient in data analysis with libraries like Pandas and NumPy
Multi threading and Multiprocessing are techniques used in Python to achieve parallelism and improve performance.
Multi threading allows multiple threads to run concurrently within the same process, sharing the same memory space.
Multiprocessing involves creating multiple processes to run tasks in parallel, each with its own memory space.
Multi threading is more suitable for I/O-bound tasks, while multiprocessing is bette...
Decorators are functions that modify the behavior of other functions. Lambda functions are anonymous functions defined using the lambda keyword.
Decorators are used to add functionality to existing functions without modifying their code.
Lambda functions are used for creating small, anonymous functions.
Example of decorator: @staticmethod decorator in Python.
Example of lambda function: lambda x: x*2
Endpoints and methods for a book store API
Endpoints: /books (GET, POST), /books/{id} (GET, PUT, DELETE), /authors (GET, POST), /authors/{id} (GET, PUT, DELETE)
Methods: GET (retrieve data), POST (create new data), PUT (update existing data), DELETE (delete data)
Example: GET /books - retrieve all books, POST /books - add a new book to the store
Binary search is an efficient algorithm for finding an item from a sorted list of items.
Binary search works on sorted arrays. Example: [1, 2, 3, 4, 5].
It divides the search interval in half. If the target is less than the middle element, search the left half.
If the target is greater, search the right half. Example: Searching for 3 in [1, 2, 3, 4, 5] results in mid index 2.
The time complexity is O(log n), making it much...
Separate odd and even numbers from an array using Python.
Use list comprehension to filter odd and even numbers.
Example: For array [1, 2, 3, 4], evens = [2, 4], odds = [1, 3].
You can also use a loop to append to separate lists.
Example: Initialize two lists, iterate through the array, and append accordingly.
I am a passionate Python developer with experience in web development and data analysis.
Experienced in Python programming language
Skilled in web development using frameworks like Django and Flask
Proficient in data analysis with libraries like Pandas and NumPy
Deep copy creates a new object and recursively copies the objects found in the original. Shallow copy creates a new object and references the objects found in the original.
Deep copy creates a new object and recursively copies all nested objects, while shallow copy creates a new object and references the nested objects.
Deep copy is used when you want to create a completely independent copy of an object, while shallow co...
I would rate myself as proficient in Python, with experience in developing various projects and solving complex problems.
Proficient in Python programming language
Experience in developing projects using Python
Able to solve complex problems using Python
Familiar with popular Python libraries and frameworks
Continuously learning and improving my Python skills
Top trending discussions
I applied via Walk-in and was interviewed before Mar 2021. There were 3 interview rounds.
Aptitude test
Current affairs
posted on 6 Mar 2024
Medium level questions from all sectors
Technical MCQ and easy coding questions
Artificial intelligence
posted on 26 May 2025
I appeared for an interview in Apr 2025, where I was asked the following questions.
I applied via Walk-in and was interviewed before Feb 2023. There was 1 interview round.
posted on 19 Sep 2024
I applied via Job Portal
60mintues DSA level coding exam
I applied via Recruitment Consulltant and was interviewed in Sep 2023. There were 4 interview rounds.
Intermediate aptitude questions .
No negative marking .
Written test held at JMR infotech
I applied via Naukri.com and was interviewed in Jul 2020. There were 4 interview rounds.
Generator functions are functions that can be paused and resumed, allowing for lazy evaluation of data.
Generator functions use the yield keyword to pause execution and return a value.
They can be used to generate an infinite sequence of values.
They are memory efficient as they only generate values when needed.
Example: function* myGenerator() { yield 1; yield 2; yield 3; }
Example: const infiniteGenerator = function*() { ...
Push notifications can be implemented in Android and iOS using Firebase Cloud Messaging (FCM) and Apple Push Notification service (APNs) respectively.
For Android, integrate FCM SDK in the app and use FCM console to send notifications.
For iOS, create an APNs certificate, configure the app to receive notifications, and use APNs to send notifications.
Both platforms require handling of notification payload in the app to di...
I used React Native for my last app.
Developed UI components using React Native
Integrated APIs to fetch and display data
Implemented Redux for state management
Used Firebase for authentication and database
Optimized app performance using React Native Debugger
Functional components are stateless and return UI elements based on input props, while non-functional components have state and can change UI based on user interaction.
Functional components are simpler and easier to test than non-functional components.
Non-functional components can have state and lifecycle methods, while functional components cannot.
Examples of functional components include buttons, labels, and icons, w...
I applied via Approached by Company and was interviewed in Dec 2018. There were 5 interview rounds.
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