Python Derivatives

Master calculus 1 using Python: derivatives and applications  eBooks & eLearning

Posted by lucky_aut at Oct. 17, 2022
Master calculus 1 using Python: derivatives and applications

Master calculus 1 using Python: derivatives and applications
Duration: 41h 16m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 11.9 GB
Genre: eLearning | Language: English

Develop a deep understanding and intuition for calculus. Solve problems and implement algorithms by hand and in Python.

Python for Finance: Investment Fundamentals & Data Analytics  eBooks & eLearning

Posted by lucky_aut at Dec. 13, 2024
Python for Finance: Investment Fundamentals & Data Analytics

Python for Finance: Investment Fundamentals & Data Analytics
Last updated 11/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.98 GB | Duration: 8h 43m

Learn Python Programming and Conduct Real-World Financial Analysis in Python - Complete Python Training
Derivatives Analytics with Python: Data Analysis, Models, Simulation, Calibration and Hedging

Derivatives Analytics with Python: Data Analysis, Models, Simulation, Calibration and Hedging by Yves Hilpisch
English | 2015 | ISBN: 1119037999 | 376 pages | PDF | 6,5 MB
Derivatives with Python: An Introduction to Algorithmic Trading with Python (The Perfect Trader with Python)

Derivatives with Python: An Introduction to Algorithmic Trading with Python (The Perfect Trader with Python) by Hayden Van Der Post, Alice Schwartz
English | December 12, 2023 | ISBN: N/A | ASIN: B0CQ3YNW8L | 212 pages | EPUB | 1.44 Mb

Listed Volatility and Variance Derivatives: A Python-based Guide  eBooks & eLearning

Posted by l3ivo at Jan. 4, 2021
Listed Volatility and Variance Derivatives: A Python-based Guide

Yves Hilpisch, "Listed Volatility and Variance Derivatives: A Python-based Guide"
English | 2016 | ISBN: 1119167914 | 368 pages | EPUB | 53.7 MB

Derivatives Analytics with Python  eBooks & eLearning

Posted by hill0 at Oct. 9, 2021
Derivatives Analytics with Python

Derivatives Analytics with Python: Data Analysis, Models, Simulation, Calibration and Hedging
English | 2015 | ISBN: 1119037999 | 377 Pages | PDF True | 14 MB

Derivatives with Python  eBooks & eLearning

Posted by eBookRat at Dec. 15, 2023
Derivatives with Python

Derivatives with Python: An Introduction to Algorithmic Trading with Python (The Perfect Trader with Python)
by Hayden Van Der Post, Alice Schwartz

English | 12 Dec. 2023 | ISBN: N/A | ASIN: B0CQ3YNW8L | 220 Pages | PDF | 42 MB

Unlock the potential of financial markets with "Derivatives with Python," the essential guide that combines powerful analytical tools and techniques with the versatile programming skills you need to succeed in the complex world of derivative trading. Whether you're a finance professional, a data analyst, or an aspiring trader, this book will elevate your skill set and help you gain a competitive edge in the fast-paced trading environment.

Financial Derivatives: A Quantitative Finance View  eBooks & eLearning

Posted by IrGens at Nov. 23, 2020
Financial Derivatives: A Quantitative Finance View

Financial Derivatives: A Quantitative Finance View
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 25h 38m | 9.23 GB
Instructor: Cameron Connell

Computational Physics: Scientific Programming with Python  eBooks & eLearning

Posted by BlackDove at Jan. 26, 2022
Computational Physics: Scientific Programming with Python

Computational Physics: Scientific Programming with Python
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 181 lectures (20h 51m) | Size: 5.7 GB


From numerical methods to exciting applications: Differential equations, eigenvalue problems, Monte Carlo methods & more
Essentials of Excel VBA, Python, and R: Volume II: Financial Derivatives, Risk Management and Machine Learning, 2nd edition

Essentials of Excel VBA, Python, and R: Volume II: Financial Derivatives, Risk Management and Machine Learning, 2nd edition
English | 2023 | ISBN: 3031142829 | 521 pages | True PDF,EPUB | 282.85 MB

This advanced textbook for business statistics teaches, statistical analyses and research methods utilizing business case studies and financial data with the applications of Excel VBA, Python and R. Each chapter engages the reader with sample data drawn from individual stocks, stock indices, options, and futures. Now in its second edition, it has been expanded into two volumes, each of which is devoted to specific parts of the business analytics curriculum. To reflect the current age of data science and machine learning, the used applications have been updated from Minitab and SAS to Python and R, so that readers will be better prepared for the current industry.