Quantitative methods with python / Abhinandan H. Patil

By:

Patil, Abhinandan H [author]

Material type: Text

TextPublication details: [Place of publication not identified] : [Name of the publisher not identified], [Date of publication not identified]Description: 1 volume (unpaged) : illustrations ; 28 cmISBN:

9781667170961

Subject(s):

LOC classification:

QA 276.45 .P38 [c?]

Contents:

Chapter 1. Crash course in relevant mathematics -- Chapter 2. Crash course in relevant python. -- Chapter 3 Introduction -- Chapter 4. Probability and related problems -- Chapter 5. Statistics -- Chapter 6. Scatter and regression models -- Chapter 7. Forecasting -- Chapter 8. Linear programming and applications -- Chapter 9. Introduction to basic Sympy functionalities -- Chapter 10. Plotting with Sympy -- Chapter 11. Summary.

Summary: "We touch few capabilities of Python Quantitative libraries/packages in this Book. There is a high probability that you will find some one has already documented their own experiences with python in the form of Books, Blogs, YouTube etc. Today the Scipy and Sympy user guides combined is in excess of 5000 pages. That is enormous capability available to everyone to carry out their activity in Quantitative Field with Python. And it is growing by the day. It is these libraries that make Python so Rich!!"

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Item type	Current library	Collection	Call number	Materials specified	Status	Date due	Barcode
Books	NU Clark Circulation	Non-fiction	GC QA 276.45 .P38 [c?] (Browse shelf(Opens below))		Available		NUCLA000005358

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Previous	GC QA 76.625 .M34 2024 Web coding & development all-in-one for dummies /	GC QA 76.758 .F37 2023 Modern software engineering : doing what works to build better software faster /	GC QA 276.12 .B67 2018 Statistics 101 : from data analysis and predictive modeling to measuring distribution and determining probability, your essential guide to statistics /	GC QA 276.45 .P38 [c?] Quantitative methods with python /	GC QA 303.2 .R93 2019 c.1 Calculus essentials for dummies /	GC QA 303.2 .R93 2019 c.2 Calculus essentials for dummies /	GC QA 303.2 .S74 2016 Multivariable calculus /	Next

"We touch few capabilities of Python Quantitative libraries/packages in this Book. There is a high probability that you will find some one has already documented their own experiences with python in the form of Books, Blogs, YouTube etc. Today the Scipy and Sympy user guides combined is in excess of 5000 pages. That is enormous capability available to everyone to carry out their activity in Quantitative Field with Python. And it is growing by the day. It is these libraries that make Python so Rich!!"

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