- Big Data Analysis
- Machine Learning
- Artificial Intelligence
- Predictive Analytics
- Business Intelligence
Julia is an amazing new programming language (open source) that combines the power of high level languages like R (statistics), Matlab (scientific and engineering) and Python (general purpose programming and data analytics ) with the speed of C.
Julia is a high-level, high-performance dynamic programming language for numerical computing. It provides a sophisticated compiler, distributed parallel execution, numerical accuracy, and an extensive mathematical function library.
https://julialang.org/
Our interface between QuickBase and Julia is through the amazing Jupyter Notebooks (open source) which provides an interactive web based environment.
The Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text. Uses include: data cleaning and transformation, numerical simulation, statistical modeling, data visualization, machine learning, and much more.
http://jupyter.org/
I can tell you without a doubt that this is the most exciting thing I have ever done with QuickBase and the potential implications are massive.