Understanding PCA and implementing it step by step using python
This post details how principal component analysis (PCA) works and how to perform it step by step using Python.
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.
Using Q-Q Plot to visually check distribution agreements
In this post we propose a simple implementation of Q-Q Plot and show some basic usage of it.
Find the closest points to a specific location using KD Tree
In this article we show how KD Tree works and how Voronoi diagram are linked with it by answering a simple question: given a set of reference points (points of interests), find for any point (location) the closet points wrt…
Unlock protected Excel sheet with notepad
This post shows how to remove password protection on Excel files without having the need to install specific tools, you just need an ZIP reader and a notepad.
Compute Acid/Base Partition functions
This post shows how to derive Acid/Base Partition functions using analytical chemistry and conversely how to determine pH of a mixture of poly-acid with given initial concentrations and pKa.
Compute integral using Monte-Carlo
In this post we show how an integral can be computed using Monte-Carlo method and how combination with bootstrapping can increase precision. Reference Lets say we wan to integrate the cardinal sinus over the interval . Graphically it is about…
Solving geometry problem with shapely
This post shows how to use shapely library to solve complex geometry problems easily.
Solving the Ballistic problem with Drag Force
This post shows how to solve the Ballistic problem with Drag Force taken into account.
Animated double pendulum
This post shows how to create an animated double pendulum with scipy and matplotlib.
Bifurcation diagram
Sometimes, it is just fun to do some simple math and get nice figure, why not drawing some bifurcation diagrams.
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…
Assess GPS Altimeter dataset with Brussels Official DEM
We present in this article a quick but complete overview of the GDAL powerful capabilities using a trivial example: assessing the GPS altimeter dataset compared with respect to Brussels’ Offical Digital Elevation Model. Goals are two: showing by examples how…
From GPS to PostGIS with simplicity
This article is a simple procedure to import your GPS data into PostGIS without pain, it merely boils down to: And you are done, your layer is now a table in PostGIS database that you can query as you wish.…