tomnewg
Investment analyst | Python programmer | Main focus: financial data analysis, modeling, data science and machine learning
London and Sydney
Pinned Repositories
cdsdashboards
JupyterHub extension for ContainDS Dashboards
datasets
gaussian-density
Using Voilà with bqplot to visualize the Gaussian density
hello-world-example
A Hello World template application to get started with Voilà
jupyterhub
Multi-user server for Jupyter notebooks
pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
stock_portfolio_analysis
Provide a CSV of stock transactions and measure performance against a Benchmark
the-littlest-jupyterhub
Simple JupyterHub distribution for 1-100 users on a single server
tljh-voila-gallery
Configuration for deploying the Voilà Gallery with The Littlest JupyterHub
voila-gallery.github.io
Public facing deployment for voila-gallery.org
tomnewg's Repositories
tomnewg/cdsdashboards
JupyterHub extension for ContainDS Dashboards
tomnewg/datasets
tomnewg/gaussian-density
Using Voilà with bqplot to visualize the Gaussian density
tomnewg/hello-world-example
A Hello World template application to get started with Voilà
tomnewg/jupyterhub
Multi-user server for Jupyter notebooks
tomnewg/pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
tomnewg/stock_portfolio_analysis
Provide a CSV of stock transactions and measure performance against a Benchmark
tomnewg/the-littlest-jupyterhub
Simple JupyterHub distribution for 1-100 users on a single server
tomnewg/tljh-voila-gallery
Configuration for deploying the Voilà Gallery with The Littlest JupyterHub
tomnewg/voila-gallery.github.io
Public facing deployment for voila-gallery.org
tomnewg/voila-gridstack
Dashboard template for Voilà based on GridStackJS
tomnewg/voila-qt-app
tomnewg/voila_test
tomnewg/waterfall
An easy to use waterfall chart function for Python