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I applied via Company Website and was interviewed in Apr 2024. There were 3 interview rounds.
The Odoo Python developer aptitude test evaluates candidates' proficiency in Python programming, with a focus on Odoo framework knowledge. It includes questions on Python syntax, object-oriented programming concepts, Odoo ORM, and module development. Applicants are assessed on their ability to solve real-world problems using Python within the context of Odoo development.
Lists are mutable, ordered collections of items while tuples are immutable, ordered collections of items.
Lists are defined using square brackets [] while tuples are defined using parentheses ().
Lists can be modified after creation (mutable) while tuples cannot be modified (immutable).
Lists are typically used for collections of similar items that may need to be changed, while tuples are used for fixed collections of ite...
Lists are mutable, allowing modification, while tuples are immutable and used for heterogeneous data.
Lists use square brackets [] and are ideal for homogeneous data collections.
Tuples use parentheses () and are generally used for heterogeneous data.
Lists can be modified after creation, while tuples cannot be changed.
Exceptions in Python are handled using try, except, and finally blocks.
Use try block to enclose the code that may raise an exception
Use except block to catch and handle the exception
Use finally block to execute code regardless of whether an exception was raised or not
Exceptions in Python are handled using try, except, and finally blocks.
Use try block to enclose the code that may raise an exception.
Use except block to handle the exception and provide alternative code.
Use finally block to execute code regardless of whether an exception was raised or not.
Successfully resolved compatibility issues with third-party APIs in a complex inventory management project by researching documentation and collaborating with team members.
Thoroughly research the documentation of the third-party APIs to understand their functionalities and requirements
Collaborate with team members to brainstorm solutions and troubleshoot compatibility issues
Ensure clear communication and coordination a...
Top trending discussions
posted on 23 Dec 2024
Use slicing with step size -1 to reverse a string in Python.
Use string slicing with step size -1 to reverse the string.
Example: 'hello'[::-1] will return 'olleh'.
Yes, you can reverse a string in Python using slicing.
Use the slicing syntax [::-1] to reverse a string.
Example: 'hello'[::-1] will return 'olleh'.
posted on 18 Dec 2024
Use the reverse() method to reverse a list in Python.
Use the reverse() method to reverse the elements of a list in place.
Example: my_list = [1, 2, 3, 4]; my_list.reverse(); print(my_list) will output [4, 3, 2, 1].
posted on 19 Dec 2024
Use slicing with step -1 to reverse a string in Python.
Use string slicing with step -1 to reverse a string: str[::-1]
Example: 'hello'[::-1] will return 'olleh'
Using slicing to reverse a string in Python
Use slicing with a step of -1 to reverse the string
Example: reversed_string = 'hello'[::-1]
Print reversed_string to see the reversed result
posted on 17 Dec 2024
Use slicing with step -1 to reverse a string in Python.
Use slicing with step -1 to reverse a string: str[::-1]
Example: s = 'hello', reversed_s = s[::-1] will result in 'olleh'
Slicing in Python allows you to extract a portion of a string or list by specifying a start and end index.
Use square brackets [] to specify the start and end index for slicing.
The start index is inclusive, while the end index is exclusive.
You can also specify a step value to skip elements while slicing.
Example: reverse_string = 'hello'; reverse_string[::-1] will output 'olleh'.
posted on 10 Dec 2024
Python decorator is a design pattern that allows you to add new functionality to existing functions or methods without modifying their structure.
Decorators are denoted by the @ symbol followed by the decorator name.
They are functions that take another function as an argument and return a new function.
Decorators can be used for logging, timing, authentication, and more.
Example: @my_decorator def my_function(): pass
posted on 10 Dec 2024
Exceptions in Python are handled using try-except blocks to catch and handle errors gracefully.
Use try-except blocks to catch exceptions and handle them gracefully.
You can specify different except blocks for different types of exceptions.
Use the 'finally' block to execute code regardless of whether an exception was raised or not.
posted on 22 Jul 2024
Version control tools are software tools that help in managing changes to source code over time.
Version control tools track changes made to files, allowing users to revert back to previous versions if needed.
They enable collaboration among team members by providing a centralized repository for code.
Examples of version control tools include Git, SVN, and Mercurial.
A system design for a messaging application like Whatsapp.
Use a distributed system architecture to handle large number of users and messages.
Implement end-to-end encryption for secure communication.
Utilize a message queue system for real-time message delivery.
Use a relational database for storing user data and a NoSQL database for message storage.
Implement push notifications for instant message alerts.
posted on 17 Aug 2021
I applied via Naukri.com and was interviewed in Feb 2021. There were 3 interview rounds.
List is a collection of ordered and changeable elements.
Lists are created using square brackets []
Elements in a list can be of different data types
Lists can be sliced and concatenated
Example: my_list = [1, 'apple', True, 3.14]
Lists are mutable and can be modified, while tuples are immutable and cannot be modified.
Lists are enclosed in square brackets [], while tuples are enclosed in parentheses ().
Lists can have elements of different data types, while tuples can have elements of the same or different data types.
Lists have more built-in methods for manipulation, such as append(), remove(), and sort().
Tuples are generally used for heterogeneo...
A dictionary is a collection of key-value pairs, where each key is unique and used to access its corresponding value.
Keys must be immutable objects like strings, numbers, or tuples.
Values can be any type of object, including other dictionaries.
Dictionaries are unordered, meaning the order of items is not guaranteed.
Accessing a value using a key is fast and efficient.
Example: {'name': 'John', 'age': 30, 'city': 'New Yor
To get the value for a key from a dictionary in Python, use the square bracket notation or the get() method.
Use square brackets and the key name to access the value directly: dictionary[key]
Alternatively, use the get() method to retrieve the value: dictionary.get(key)
If the key is not present in the dictionary, using square brackets will raise a KeyError, while get() will return None or a default value if specified
Memory management is the process of allocating and deallocating memory in a computer system.
Memory is allocated dynamically using malloc() or new() functions.
Memory leaks occur when memory is not deallocated after use.
Garbage collection is used in languages like Python to automatically deallocate memory.
Memory fragmentation can occur when memory is allocated and deallocated frequently.
Memory management is important for
RestAPI is a web service that uses HTTP requests to access and manipulate data.
RestAPI stands for Representational State Transfer Application Programming Interface.
It is a standard protocol used for creating web services.
It uses HTTP methods like GET, POST, PUT, DELETE to perform operations on data.
It returns data in various formats like JSON, XML, etc.
Examples of RestAPIs include Twitter API, Facebook API, etc.
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