Outlier and Change Point Detection in Data Integration Performance Metrics
Data integration involves combining data residing in different sources, and providing users with a…
Some cool open-source Python packages for Machine Learning Ep 5
There is a very rich ecosystem of Python libraries related to ML. Here is a list of some…
Lunch break, plotting excess death in french department zones with Python
Daily deaths data are provided by INSEE - the national institute of statistics and economic…
A Quick study of air quality in Lyon with Python
The aim of this post is to use Python to fetch air quality data from a web service and to create a…
Fitting a logistic curve to time series in Python
In this notebook we are going to fit a logistic curve to time series stored in Pandas, using a…
Cython and Numba applied to a simple algorithm: Insertion sort
The aim of this notebook is to show a basic example of Cython and Numba, applied to a simple…
Lunch break: plotting traffic injuries with datashader
Well I love the datashader Python package and I am always happy to use it on some interesting…
Gartner BI Magic Quadrant History
We had compiled Gartner BI Magic Quadrant data since 2007 in theses dashboards :…
Fetching AROME weather forecasts and plotting temperatures
Accurate weather forecasts might be very usefull for various types of models. In this post, we are…
Some cool open-source Python packages for Machine Learning Ep 4
There is a very rich ecosystem of Python libraries related to ML. Here is a list of some…
Some cool open-source Python packages for Machine Learning Ep 3
There is a very rich ecosystem of Python libraries related to ML. Here is a list of some…
First try of auto-sklearn
Since we are big users of scikit-learn and XGBoost, we wanted to try a package that would…
Some cool open-source Python packages for Machine Learning Ep 2
There is a very rich ecosystem of Python libraries related to ML. Here is a list of some…
Loading data into a Pandas DataFrame – a performance study
Because doing machine learning implies trying many options and algorithms with different…
Some cool open-source Python packages for Machine Learning Ep 1
There is a very rich ecosystem of Python libraries related to ML. Here is a list of some…
GPU Analytics Ep 3, Apply a function to the rows of a dataframe
The goal of this post is to compare the execution time between Pandas (CPU) and RAPIDS (GPU)…
GPU Analytics Ep 2, Load some data from OmniSci into a GPU dataframe
Although the post title is about loading some data from a GPU database into a GPU dataframe, most…
GPU Analytics Ep 1, GPU installation of OmniSci on AWS
In this post, we are going to install the OmniSci 4.6 GPU database on an Ubuntu 18.04 AWS instance.…
Nighttime Lights with Rasterio and Datashader
In this post, we are going to plot some satellite GeoTIFF data in Python. The data is provided by…
Symmetric Chaos with Datashader and Numba
Map equation and coefficient values are taken from here. Some mathematical explainations can be…
Plotting Hopalong attractor with Datashader and Numba
What is an attractor? Definition from wikipedia: In the mathematical field of dynamical systems,…
Looping over Pandas data
I recently stumbled on this interesting post on RealPython (excellent website by the way!): Fast,…
Pandas Time Series example with some historical land temperatures
Monthly averaged historical temperatures in France and over the global land surface The aim of this…
Lyon DataVis and AI mini-conference
Yesterday I went to this mini-conference at ENS Lyon and enjoyed it very much. Here is a very short…