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pandarallel

A simple and efficient tool to parallelize Pandas operations on all available CPUs

papers

Quant Research Papers

parametric_cgx_model

Parametric shell half-wing model geometry creation and meshing in CGX, followed by CCX analysis, parametric design studies and optimisation using OpenMDAO

pcavasicek

The Vasicek model is a mathematical model describing the evolution of interest rates. I explained how to use principal component analysis (PCA) for the interest rate models. I demonstrated how to calibrate Vasiceck model and how to run Monte Carlo simulations for Vasicek model. https://youtu.be/TrEnSQ2Pms4

people-analytics-rstats

piml-toolbox

PiML (Python Interpretable Machine Learning) toolbox for model development and validation

plug-in-interface

The RoboDK Plug-In Interface allows you to extend or customize RoboDK software for industrial robots and simulation of robot arms.

pml2-book

Probabilistic Machine Learning: Advanced Topics

pnet_prostate_paper

P-NET, Biologically informed deep neural network for prostate cancer classification and discovery

portfolio_optimization

power-bi-time-series-custom-visual

Power BI Time-Series Interactive Custom Visual

ppscore

Predictive Power Score (PPS) in Python

precise

online covariance and precision matrix estimation

projects

Collection of Open Source projects in 2020

public

Fixed Income Valuation Recipes in Python by Oluwaseyi Adebayo Awoga (Tony)

pycaret

An open-source, low-code machine learning library in Python

pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

pydgn

A research library for Deep Graph Networks

pyfolio

Portfolio and risk analytics in Python

pymc

Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Aesara

pyod

A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)

pyportfolioopt

Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity

pypots

A python toolbox / library for data mining on partially-observed time series, supporting tasks of forecasting / imputation / classification / clustering on incomplete (irregularly-sampled) multivariate time series with missing values.

python

All Algorithms implemented in Python

python-for-excel

This is the companion repo of the O'Reilly book "Python for Excel".

python-mini-projects

A collection of simple python mini projects to enhance your python skills

python-training

Python training for business analysts and traders

python_option_pricing

An libary to price financial options written in Python. Includes: Black Scholes, Black 76, Implied Volatility, American, European, Asian, Spread Options

pythondatasciencehandbook

Python Data Science Handbook: full text in Jupyter Notebooks

pythonprojects

Recently I have completed the "Python Mega Course" by the Funky Programmer. And I have uploaded some of the programs as well as projects that I have completed during this course.