NeoSOFT Interview Questions, Process, and Tips for Experienced

PEP 8 is the style guide for Python code, promoting readability and consistency in Python programming.

• Encourages using 4 spaces per indentation level instead of tabs.

• Recommends limiting lines to 79 characters for better readability.

• Suggests using blank lines to separate functions and classes.

• Promotes using descriptive variable names, e.g., 'user_age' instead of 'ua'.

• Advises on proper import ordering: standard libraries...read more

Multithreading allows concurrent execution of tasks in Python, enhancing performance and responsiveness in applications.

• Concurrency: Multiple threads run simultaneously, improving application responsiveness.

• Thread Creation: Use the 'threading' module to create threads. Example: 'threading.Thread(target=func).start()'.

• Synchronization: Use locks (e.g., 'threading.Lock') to prevent race conditions when accessing shared re...read more

Method overloading allows multiple methods with the same name but different parameters; overriding replaces a method in a subclass.

• Method Overloading: Same method name with different parameters in the same class.

• Example: def add(self, a: int, b: int) and def add(self, a: float, b: float).

• Method Overriding: Subclass provides a specific implementation of a method already defined in its superclass.

• Example: class Animal ha...read more

Lists are flexible and can hold mixed data types; arrays are fixed-type and more efficient for numerical data.

• Lists can contain elements of different data types: ['apple', 42, 3.14, True]

• Arrays are typically used for numerical data and require all elements to be of the same type: array('i', [1, 2, 3])

• Lists are part of Python's built-in data types, while arrays require importing the 'array' module or using libraries lik...read more

Pandas is a powerful Python library for data manipulation and analysis, providing data structures like DataFrames and Series.

• DataFrame: A 2-dimensional labeled data structure, similar to a spreadsheet. Example: df = pd.DataFrame({'A': [1, 2], 'B': [3, 4]})

• Series: A one-dimensional labeled array capable of holding any data type. Example: s = pd.Series([1, 2, 3])

• Data manipulation: Easily filter, group, and aggregate data...read more

Pods are the smallest deployable units in Kubernetes, consisting of one or more containers.

• Pods are used to run and manage containers in Kubernetes

• Each pod has its own unique IP address within the Kubernetes cluster

• Pods can contain multiple containers that share resources and are scheduled together

• Pods are ephemeral and can be easily created, destroyed, or replicated

• Pods can be managed and scaled using Kubernetes contr

Using PL/SQL to create a procedure with a ref cursor to find the average and factorial of a given number.

• Create a procedure that takes in a number as input and returns the average of that number using a ref cursor.

• Use the EXISTS function to check if a factorial exists for a given number.

• Write a block of code to calculate the factorial of a number using a loop.

Use a case statement to handle duplicate records in PL/SQL.

• Use a case statement to check for duplicate records based on specific criteria.

• Implement logic within the case statement to handle the duplicates appropriately.

• Consider using a unique identifier or combination of columns to identify duplicates.