Please solve only by use of code in given languages.

Sieving 2. A table on Sieve Analysis (using standard screen (Taylor series)) is attached below. Do the following tasks in either Python, C, CH, or Matlab. Identify Cumulative Mass Fractions for each particle size. a) For roll numbers ending with even numbers, consider your desired product to be an oversized product to the corresponding mesh number given in the table below. For roll numbers ending with odd numbers, consider your desired product to be an undersized product to the corresponding mesh number given in the table below. b) Calculate Recovery, Rejection, and Effectiveness corresponding to the mesh number and desired product according to your roll number. Rows for Roll Mesh No. ending Number with % Retained % Mass Feed Oversize % Retained Undersize 4 0.0107 0.018 0 6 0.0235 0.033 0 8 0.0672 0.088 0 10 0.0864 0.112 0 14 0.1087 0.142 0 20 0.1759 0.229 0 1.2 28 0.1397 0.182 0.1023 3,4 35 0.1077 0.104 0.1195 4,5 48 0.1013 0.065 0.2198 5,6 65 0.0746 0.025 0.2391 7,8 100 0.0501 0.002 0.1877 9,0 150 0.033 0 0.1427 200 0.0212 0 0.0912 Sieving 2. A table on Sieve Analysis (using standard screen (Taylor series)) is attached below. Do the following tasks in either Python, C, CH, or Matlab. Identify Cumulative Mass Fractions for each particle size. a) For roll numbers ending with even numbers, consider your desired product to be an oversized product to the corresponding mesh number given in the table below. For roll numbers ending with odd numbers, consider your desired product to be an undersized product to the corresponding mesh number given in the table below. b) Calculate Recovery, Rejection, and Effectiveness corresponding to the mesh number and desired product according to your roll number. Rows for Roll Mesh No. ending Number with % Retained % Mass Feed Oversize % Retained Undersize 4 0.0107 0.018 0 6 0.0235 0.033 0 8 0.0672 0.088 0 10 0.0864 0.112 0 14 0.1087 0.142 0 20 0.1759 0.229 0 1.2 28 0.1397 0.182 0.1023 3,4 35 0.1077 0.104 0.1195 4,5 48 0.1013 0.065 0.2198 5,6 65 0.0746 0.025 0.2391 7,8 100 0.0501 0.002 0.1877 9,0 150 0.033 0 0.1427 200 0.0212 0 0.0912