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Bayesian Analysis with Python (Second Edition)

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Deploying Python for Data Analytics and Jupyter Notebook in the Cloud.

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CompEcon is a set of MATLAB functions for solving a variety of problems in economics and finance. The library functions include rootfinding and optimization solvers, a integrated set of routines for function approximation using polynomial, splines and other functional families, a set of numerical integration routines for general functions and for common probability distributions, general solvers for Ordinary Differential Equations (both initial and boundary value problems), routines for solving discrete and continuous time dynamic programming problems, and a general solver for financial derivatives (bonds, futures, options).

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Derivatives Analytics with Python (Wiley Finance)

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Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code

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What is a Sponsorware project and how can YOU start one?

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DX Analytics is a Python-based financial analytics library

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Introducción rápida a Python y librerías numéricas y de análisis de datos

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An Introduction to Statistical Learning with Applications in R (James, Witten, Hastie, Tibshirani, 2013): Python code

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Listed Volatility and Variance Derivatives (Wiley Finance)

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Py2neo is a comprehensive toolkit for working with Neo4j from within Python applications or from the command line.

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Python for Finance (O'Reilly)

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Jupyter Notebooks and codes for Python for Finance (2nd ed., O'Reilly) by Yves Hilpisch.

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Open Source Tools for Financial Time Series Analysis and Visualization

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Notes and exercise attempts for "An Introduction to Statistical Learning"

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A Python package to store time series data in HDF5 files using PyTables

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[最新样式] **科学院大学学位论文 LaTeX 模板 LaTeX Thesis Template for the University of Chinese Academy of Sciences

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