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Name: Graham Hobbs
Type: User
Bio: Developing in time series and machine learning for financial trading applications.
Location: Brisbane Australia
Name: Graham Hobbs
Type: User
Bio: Developing in time series and machine learning for financial trading applications.
Location: Brisbane Australia
A full-featured utility for managing Windows Subsystem for Linux (WSL)
My jupyter notebooks/code samples from Chris Albon's Machine Learning with Python Cookbook
Missing data visualization module for Python.
Jupyter (IPython) notebooks for exploring mixture models
Package based on the textbooks: Advances in Financial Machine Learning and Machine Learning for Asset Managers, by Marcos Lopez de Prado.
🙃 A delightful community-driven (with 1,300+ contributors) framework for managing your zsh configuration. Includes 200+ optional plugins (rails, git, OSX, hub, capistrano, brew, ant, php, python, etc), over 140 themes to spice up your morning, and an auto-update tool so that makes it easy to keep up with the latest updates from the community.
Pandas Cookbook, published by Packt
Python 3.0 updates to the 'Python programming in Finance' library
Jupyter Notebooks and codes for Python for Finance (2nd ed., O'Reilly) by Yves Hilpisch.
Seamless operability between C++11 and Python
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
Entropy for Python
Portfolio and risk analytics in Python
Code samples from the "Python Cookbook, 3rd Edition", published by O'Reilly & Associates, May, 2013.
The "Python Machine Learning (2nd edition)" book code repository and info resource
This sample is the end product for the walkthrough on https://docs.microsoft.com/en-us/visualstudio/python/working-with-c-cpp-python-in-visual-studio
Cookiecutter template for testing Python scikit-learn classifiers.
Cookiecutter template for testing Python scikit-learn regression learners.
Python Data Science Handbook: full text in Jupyter Notebooks
Answers to the questions at the back of the chapters of Advances in Financial Machine Learning.
REST API is a web-based API using a Websocket connection. Developers and investors can create custom trading applications, integrate into our platform, back test strategies and build robot trading.
The saxo_openapi package provides easy access to SAXO OpenAPI. Checkout the Jupyter notebooks covering different aspects of the API.
Code snippets from the Streaming Systems book (streamingbook.net).
Source Code for 'Testing and Tuning Market Trading Systems' by Timothy Masters
tpqoa is a Python wrapper package for the Oanda REST API v20 for algorithmic trading.
tpqps is a wrapper package for the streaming API of Plotly.
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.