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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

Financial functions

NumPy has a number of financial functions:

  • The fv() function calculates the so-called future value. The future value gives the value of a financial instrument at a future date, based on certain assumptions.
  • The pv() function computes the present value (see https://www.khanacademy.org/economics-finance-domain/core-finance/interest-tutorial/present-value/v/time-value-of-money). The present value is the value of an asset today.
  • The npv() function returns the net present value. The net present value is defined as the sum of all the present value cash flows.
  • The pmt() function computes the payment against loan principal plus interest.
  • The irr() function calculates the internal rate of return. The internal rate of return is the effective interested rate, which does not take into account inflation.
  • The mirr() function calculates the modified internal rate of return. The modified internal rate of return is an improved version of the internal rate of return.
  • The nper() function returns...
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