Python for Finance: Analyze Big Financial Data

(Elle) #1

overview of, Statistics, Conclusions


print_statistics helper function, Random Variables


private attributes, Basics of Python Classes


probability of default, Credit Value Adjustments


productivity, Efficiency and Productivity Through Python–Ensuring high performance


pseudocode, Finance and Python Syntax


pseudorandom numbers, Random Numbers, Variance Reduction


publishing platform, Basic usage


put options, definition of, Valuation


PyMC3 library, PyMC3


pyplot sublibrary, One-Dimensional Data Set


PyTables


benefits of, The Scientific Stack, Fast I/O with PyTables


importing, Fast I/O with PyTables


input-output operations


out-of-memory computations, Out-of-Memory Computations


working with arrays, Working with Arrays


working with compressed tables, Working with Compressed Tables


working with tables, Working with Tables


Python


as ecosystem vs. language, The Python Ecosystem


benefits for finance, Python for Finance–Conclusions, Input/Output Operations, Web


Integration


benefits of, What Is Python?


classes in, Basics of Python Classes–Cash Flow Series Class, Constant Short Rate


deployment, Python Deployment–Python Quant Platform


features of, What Is Python?


history of, Brief History of Python


input-output operations


reading/writing text files, Reading and Writing Text Files


SQL databases, SQL Databases


writing objects to disk, Writing Objects to Disk


writing/reading Numpy arrays, Writing and Reading NumPy Arrays


invoking interpreter, Python

Free download pdf