Senior Python Developer Interview Questions and Answers for Freshers

Consider environment, dependencies, scalability, monitoring, security, and rollback strategy during deployment.

• Ensure environment consistency between development, testing, and production.

• Verify all dependencies are correctly installed and configured.

• Plan for scalability by considering future growth and potential traffic spikes.

• Implement monitoring tools to track performance and detect issues.

• Prioritize security measures such as encryption, access controls, and vulnerability s...read more

Decorators are a way to modify or extend the behavior of functions or methods without changing their code.

• Decorators are functions that take another function as an argument and return a new function.

• They are commonly used to add functionality to existing functions, such as logging, timing, or authentication.

• Decorators can be used to enforce access control, modify the input or output of a function, or cache results for performance optimization.

Use the append() method to add a row to a dataframe in Python.

• Use the append() method with a dictionary of values to add a row to a dataframe.

• Make sure the keys in the dictionary match the column names in the dataframe.

• Example: df.append({'column1': value1, 'column2': value2}, ignore_index=True)

A generator in Python is a function that returns an iterator object.

• Use the 'yield' keyword to return values one at a time

• Generators are memory efficient as they do not store all values in memory at once

• Example: def my_generator(): for i in range(5): yield i