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Name: pnextdoor
Type: User
Name: pnextdoor
Type: User
Studying data science and coding in Python
Here I am collecting the scripts I have used to prepare my book "Adventures in Financial Data Science" and to support my other writing, such as that on Medium. Those for the book are mostly originally written for the RATS time-series analysis system, which is commercial software, so I have begun porting the code to Python Notebooks written for Google's colab https://colab.research.google.com. This is mostly what I will post here. The figures for the book will be generated by notebooks titled "Section n.n.n Section Title" etc.
AI for the Industry 4.0 - RECRUITMENT TASK
Jupyter Notebooks and code for the book Artificial Intelligence in Finance (O'Reilly) by Yves Hilpisch.
📦 Python library for Stochastic Processes Simulation and Visualisation
Algorithmic Trading Startegies with Python and MetaTrader5
A python wrapper for Alpha Vantage API for financial data.
Performance analysis of predictive (alpha) stock factors
ArcticDB is a high performance, serverless DataFrame database built for the Python Data Science ecosystem.
The most cited deep learning papers
A curated list of awesome Kalman filter papers ,articles , applications, software and resources
A curated list of awesome libraries, projects, tutorials, papers, and other resources related to Kalman Filter(KF). This repository aims to be a comprehensive and organized collection that will help researchers and developers in the world of KF!
Python Backtesting library for trading strategies
Efficient Estimation of Bid-Ask Spreads from Open, High, Low, and Close Prices
🚀 💸 Easily build, backtest and deploy your algo in just a few lines of code. Trade stocks, cryptos, and forex across exchanges w/ one package.
Chronos: Pretrained (Language) Models for Probabilistic Time Series Forecasting
The official Python client library for the Polygon REST and WebSocket API.
Here you will find materials for the course of Computational Finance
A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep
A python library for easy manipulation and forecasting of time series.
Jupyter Notebooks and code for Derivatives Analytics with Python (Wiley Finance) by Yves Hilpisch.
Python library for analysis of time series data including dimensionality reduction, clustering, and Markov model estimation
Websocket API for deriv.app
The library to use Deriv API in .Net
Descartes Labs Python Client Library
Code that I show on my YouTube Channel
DX Analytics | Financial and Derivatives Analytics with Python
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.