Category: Python

Graph Data Structure – Python Implementation

Today, as data volumes are growing almost exponentially, search in artificial intelligence and computer science is regaining it’s popularity. There is basically no field without application of at least some of the search algorithms. Many of these search algorithms in computer science and artificial intelligence rely heavily on graphs and trees as underlying data structure ...

The Universe of Stocks – Quant Finance Visualization

I always asked myself how to visualize stock performance by sector properly. It is a fact that Visualization is underrated in the field of Quantitative Finance. So here is my contribution to the Visualization Techniques for Quantitative Finance.

Artificial Neuron learning in Python

It all starts with a single neuron! Or with a perceptron. Perceptron is a neuron’s computational model. If you link some of them together, you get to a real ‘artificial brain’ capable of learning complex stuff. When I try to explain basic AI concepts to non computer scientist, I usually start like this … You ...

The power of Visual Data Science.

When I do not deal with people, machines or numbers, I enjoy the pleasures of data visualizations. #VisualThinking #DataScience #Python  

Some nice & new visualizations

I love plotting data and learning from the visualizations. Here are some new data plots of projects I was working on lately.  

Market Basket Analysis – Mining Frequent Pairs in Python

Have you ever asked yourself how the store managers decide on product shelf placement in retail stores? There must be some strategy behind it, right? It can’t be just a random choice. Almost on daily basis, you receive product purchase recommendations from variety of sources where you have left your “digital fingerprint”. In many cases these ...

Bloom Filter Example in Python

The title might also have been, “how to reduce 10 Gb of data to 1 single Megabyte”. BigData is only going to get bigger in the future. Our challenge, among others, is to find efficient methods and algorithms to (quickly) deal with  wast amounts of data, extract meaningful information and to find ways how to ...

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