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SELECT a.id, b.name FROM table_a a INNER JOIN table_b b ON a.id = b.id WHERE a.value > 100;

def factorial(n): return reduce(lambda x, y: x*y, range(1, n+1))
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Merge Sort Correction in Python

Correct the implementation of merge sort algorithm in Python by addressing the issue with updating the original array `arr` in the recursive merge_sort function.

9 hours ago (May, 19 2024)
Python
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Matrix Multiplication Error Handling

This code snippet enhances matrix multiplication by verifying dimensions compatibility, preventing errors, and raising informative messages when the dimensions are not suitable.

10 hours ago (May, 19 2024)
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Improved Fibonacci Sequence Calculator with Memoization

Enhance Python code for Fibonacci sequence with memoization to avoid redundant recursive calls, improving performance for larger values of 'n'. Optimal for generating Fibonacci numbers efficiently in applications.

20 hours ago (May, 19 2024)
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Merge Sort Array Update Solution

Analysis of a code issue in the Merge Sort algorithm implementation where the sorted elements are not being stored back in the original array, and proposing a solution by updating the function to return and assign the sorted array

1 day ago (May, 18 2024)
Python
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Comprehensive Error Handling in Integration Function

This detailed guide provides strategies for implementing robust error handling, enhancing data exchange reliability between Power BI and QuickBooks Online. Tips include error detection, resolution, input validation, communication

2 days ago (May, 18 2024)
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About Apache Flink
Apache Flink is an open-source, distributed stream processing framework designed for big data processing and analytics. It excels in processing large volumes of real-time data with features like fault tolerance, high throughput, and low-latency processing. Flink supports event time processing, stateful computations, and seamless integration with various data sources.
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