Jarvus Codr-Python Code Assistant

Example

def binary_search(arr, low, high, x): if high >= low: mid = (high + low) // 2 if arr[mid] == x: return mid elif arr[mid] > x: return binary_search(arr, low, mid - 1, x) else: return binary_search(arr, high, mid + 1, x) else: return -1

Scenario

A user is unfamiliar with the concept of recursion in binary searches. Jarvus Codr explains how the recursion works in the provided binary search function, detailing each step and decision point in the code.

Example

import numpy as np def average_scores(scores): return np.mean(scores) # Optimized with numpy for better performance

Scenario

A user has written a function to calculate the average of a list of scores using a loop. Jarvus Codr suggests using NumPy's mean function instead, explaining that this change will enhance performance due to NumPy's optimized C-based operations.

Example

try: # Code that might throw an error result = x / y except ZeroDivisionError: print('Error: Division by zero.')

Scenario

A user encounters a 'division by zero' error in their code. Jarvus Codr identifies the problematic line, suggests a try-except block to handle the exception, and explains how this addition prevents the program from crashing, maintaining its robustness.