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Hands-On Python for Finance[V]
Hands-On Python for Finance[V]

Hands-On Python for Finance[V]: Apply powerful Finance models and quantitative analysis with Python

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Profile Icon Matthew Macarty
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$19.99 per month
Video Feb 2019 5hrs 25mins 1st Edition
Video
$137.99
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Renews at $19.99p/m
Arrow left icon
Profile Icon Matthew Macarty
Arrow right icon
$19.99 per month
Video Feb 2019 5hrs 25mins 1st Edition
Video
$137.99
Subscription
Free Trial
Renews at $19.99p/m
Video
$137.99
Subscription
Free Trial
Renews at $19.99p/m

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Key benefits

  • Use libraries like Numpy, Pandas, Scipy and Matplotlib for data analysis, manipulation and visualization
  • Implement common Time Series evaluation techniques, including development of forecasting models and linear models for forecasting
  • Make use of Monte Carlo method to simulate portfolio ending values, value options and calculate Value at Risk

Description

Did you know Python is the one of the best solution to quantitatively analyse your finances by taking an overview of your timeline? This hands-on course helps both developers and quantitative analysts to get started with Python, and guides you through the most important aspects of using Python for quantitative finance. You will begin with a primer to Python and its various data structures.Then you will dive into third party libraries. You will work with Python libraries and tools designed specifically for analytical and visualization purposes. Then you will get an overview of cash flow across the timeline. You will also learn concepts like Time Series Evaluation, Forecasting, Linear Regression and also look at crucial aspects like Linear Models, Correlation and portfolio construction. Finally, you will compute Value at Risk (VaR) and simulate portfolio values using Monte Carlo Simulation which is a broader class of computational algorithms. With numerous practical examples through the course, you will develop a full-fledged framework for Monte Carlo, which is a class of computational algorithms and simulation-based derivatives and risk analytics. The Github Link to this course is: https://github.com/PacktPublishing/Hands-on-Python-for-Finance-V

Who is this book for?

This course is for developers and analysts with some background in programming language and are interested in a concrete framework for using Python to augment or replace spreadsheet applications for financial tasks.

What you will learn

  • General programing skills in Python and working with common Python interfaces
  • Using Numpy, Pandas and matplotlib to manipulate, analyze and visualize data
  • Understand the Time value of money applications and project selection
  • Getting and with working data, time series forecasting methods and linear models
  • Understand Correlation and portfolio construction
  • Be comfortable with Monte Carlo Simulation, Value at Risk and Options Valuation

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Feb 28, 2019
Length: 5hrs 25mins
Edition : 1st
Language : English
ISBN-13 : 9781789800975
Category :
Languages :
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Product Details

Publication date : Feb 28, 2019
Length: 5hrs 25mins
Edition : 1st
Language : English
ISBN-13 : 9781789800975
Category :
Languages :
Tools :

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Table of Contents

6 Chapters
Python Programming Primer Chevron down icon Chevron up icon
The Python Data Environment Chevron down icon Chevron up icon
Time Value of Money Chevron down icon Chevron up icon
Time Series Evaluation and Forecasting Chevron down icon Chevron up icon
Linear Models, Correlation, and Valuation Chevron down icon Chevron up icon
Build a Monte Carlo Simulation App Chevron down icon Chevron up icon
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