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Numpy Beginner's Guide (Update)

You're reading from   Numpy Beginner's Guide (Update) Build efficient, high-speed programs using the high-performance NumPy mathematical library

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Product type Paperback
Published in Jun 2015
Publisher
ISBN-13 9781785281969
Length 348 pages
Edition 1st Edition
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Author (1):
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Ivan Idris Ivan Idris
Author Profile Icon Ivan Idris
Ivan Idris
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Table of Contents (16) Chapters Close

Preface 1. NumPy Quick Start FREE CHAPTER 2. Beginning with NumPy Fundamentals 3. Getting Familiar with Commonly Used Functions 4. Convenience Functions for Your Convenience 5. Working with Matrices and ufuncs 6. Moving Further with NumPy Modules 7. Peeking into Special Routines 8. Assuring Quality with Testing 9. Plotting with matplotlib 10. When NumPy Is Not Enough – SciPy and Beyond 11. Playing with Pygame A. Pop Quiz Answers B. Additional Online Resources C. NumPy Functions' References
Index

Time for action – calculating the periodic payments

Suppose you have a loan of 10 million with an interest rate of 1 percent. You have 30 years to pay the loan back. How much do you have to pay each month? Let's find out.

Call the pmt() function with the aforementioned values:

print("Payment", np.pmt(0.01/12, 12 * 30, 10000000))

The monthly payment:

Payment -32163.9520447

What just happened?

We calculated the monthly payment for a loan of 10 million at an annual rate of 1 percent. Given that we have 30 years to repay the loan the pmt() function tells us that we need to pay 32163.95 per month.

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