Bifurcation diagram
Sometimes, it is just fun to do some simple math and get nice figure, why not drawing some bifurcation diagrams.
landercy.be
Grasp more from your process, make analytics, focus on what matters.
landercy.be
Grasp more from your process, make analytics, focus on what matters.
Category Programming
Fit multiple Lorentzian peaks from spectrogram
This post shows of to fit an arbitrary number of Lorentzian peaks (Cauchy distribution) using scipy.
Adjustments of a statistical distribution
This post shows how to adjust statistical distribution on a random sampled dataset and assess precision of regressed parameters. Synthetic dataset We create a synthetic dataset by sampling random values from a Log Normal law: We also create a support…
Simultaneously adjust multiple kinetics
In this post we show how we can fit simultaneously multiple kinetics from ODE system using the scipy package. That is, we will regress parameters from multiples curves described by a dynamic system at once. To reach that goal, we…
Building a tree structure with a recursive query in SQL
When modeling dataset we often need to represent hierarchical relation between objects. If the information is easy to store in a classical RDBMS querying the full hierarchical structure might not be obvious at the first glance. In this article we…
Make GeoDjango+DRF as flexible as you wish by binding Raw Query to Serializers
When building API with Django, Django Rest Framework is generally a good choice. If you need to extend the requirements to support GIS query then you will probably find the extension DRF-GIS convenient as it nicely fill the gap for…
Automatize your statistical tests with Python, Pandas and SciPy
Synthetic dataset First let’s import few packages to do the job. Now we can create a synthetic dataset to support the discussion: Pandas aggregation magic The key to make easy and flexible aggregation with pandas is to define function with…
Tropospheric Ozone correlations
In this post we review some well known properties of tropospheric Ozone. Exercise is performed on 10 years of observations through specific correlations between Ozone, Nitrogen Dioxide and meteorological parameters. Objective is to draw a knowledge baseline about the Ozone.
Adjustment of an ordinary differential equation
This post shows how ODE parameters as well as initial condition can be adjusted to experimental data using Python. Adjusting ODE parameters is good topic to introduces specific methodology such as parameter normalization and sample bootstrapping.
Multiple adjustments of a catalytic kinetic
This post reviews multiple ways to solve a catalytic kinetic.