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Learn how to effectively replace values at alternate indices in a 2D array with calculated results using Python. --- This video is based on the question https://stackoverflow.com/q/63250572/ asked by the user 'Hammad Mansoor' ( https://stackoverflow.com/u/10597900/ ) and on the answer https://stackoverflow.com/a/63251008/ provided by the user 'SteRinaldi' ( https://stackoverflow.com/u/14046726/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions. Visit these links for original content and any more details, such as alternate solutions, latest updates/developments on topic, comments, revision history etc. For example, the original title of the Question was: Modification of alternate index values in a 2D array - Python Also, Content (except music) licensed under CC BY-SA https://meta.stackexchange.com/help/l... The original Question post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license, and the original Answer post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license. If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com. --- How to Modify Alternate Index Values in a 2D Array Using Python Managing data in multidimensional arrays is a common task in programming, and Python's numpy library makes this manipulation easier. In this guide, we’ll explore how to replace values at alternate positions in a 2D array, specifically focusing on how to populate an array with calculated results at certain indices. The Problem Imagine you have a list of integers and you want to use the modulus operation (in this case, modulo 4) to transform these integers. The goal is to place the results in a 2D array but only in specific positions represented by -1. Given: A list of integers: [[See Video to Reveal this Text or Code Snippet]] A target 2D array structure that initially contains -1 at certain positions: [[See Video to Reveal this Text or Code Snippet]] Objective We want to calculate the result of m[i] % 4 for each integer in the list and place this result in the array a wherever there is a -1, in an alternating fashion. The Solution To achieve this, we can use nested loops to traverse through the 2D array, checking for -1 values and replacing them with results from our calculation with the list m. Step-by-step Guide Initial Setup: Start with your list m and the 2D array a. Iterate through the 2D Array: Use nested loops to go through each element of the 2D array. Check for -1 Values: Whenever a -1 is found, replace it with the computed value from list m. Track Your Position: Use an index to keep track of which element of m you are currently using. Implementation Here’s how you can implement this in Python: [[See Video to Reveal this Text or Code Snippet]] Important Considerations Match Length: Ensure that len(m) matches the number of -1s in your array. If m has more elements than -1s, you will end up with an index error. Indexing: The calculation m[m_index] % 4 applies the modulo operation to the current element of m, which restricts outputs to the range [0, 3]. Final Output Once the loop executes, you'll have the 2D array filled in where -1 occupied positions: [[See Video to Reveal this Text or Code Snippet]] Conclusion Now you can effectively replace values at alternate indices in a 2D array using Python! This technique is particularly useful in various applications involving data manipulation and can be adapted for other types of calculations as well. Happy coding!