CSU Global 100 X 100 Times Table Matrix Paper

Description

Using a new Jupyter notebook, create a 100 x 100 times table matrix using the following three methods. Use the timeit function to measure the execution time of each method.

Nested for loops

Numpy fromfunction

Numpy broadcasting

Copy a slice of your matrix using the first 12 numbers to create a new 12 x 12 times table matrix. Perform the following tasks with this new matrix:
Save the array to a file.
Use one of the unary ufuncs (Table 4-3, McKinney, 2017, p.109).

Use two of the basic array statistical methods (Table 4-5, McKinney, 2017, p.114).

Load the array file saved in step 4.

Useful resources:

Chapter 5 in The Analytics Lifecycle Toolkit

Chapter 4 in Python for Data Analysis

Nam, D., Lee, J., & Lee, H. (2019). Business analytics adoption process: An innovation diffusion perspective. International Journal of Information Management, 49, 411-423.

Weibl, J., & Hess, T. (2018). Success or failure of big data: Insights of managerial challenges from a technology assimilation perspective. Proceedings of the Multikonferenz Wirtschaftsinformatik (MKWI), 12-59. https://www.researchgate.net/publication/323692347_Success_or_Failure_of_Big_Data_Insights_of_Managerial_Challenges_from_a_Technology_Assimilation_Perspec

Explanation & Answer:

2 pages

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