Material for dataviz course at university of Bordeaux

Overview

Scientific visualization Course

Visualisation is a method of computing. It transforms the symbolic into the geometric, enabling researchers to observe their simulations and computations. Visualisation offers a method for seeing the unseen. It enriches the process of scientific discovery and fosters profound and unexpected insights.

Visualisation in Scientific Computing, NSF report, 1987



Course

  • Scientific Visualization (PDF). A gentle introduction to scientific visualization reviewing some concepts, definitions and rules.

  • Introduction (notebook). In this introduction, we'll see how to make a figure and play with the different settings such as to improve the rendering. We'll also see how to compose a figure made of several subplots with a moderatly complex layout.

  • Catalogue (notebook). In this lesson, we'll review the many different types of plot matplotlib offers and manipulate them, namely, plot, scatter, imshow and bar plots.

  • Scales & projections (notebook). Matplotlib offers the possibility to use different scales (log scale, symlog scale, logit scale) and projections (polar, 3D, geographic). We'll review a few of them in this lesson.

  • Animation (notebook). Animation with matplotlib can be created very easily using the animation framework. During this lesson, we'll show how to create an animation and save it as a movie.

Resources

Owner
Nicolas P. Rougier
Researcher in computational and cognitive neuroscience supporting open source, open access and open science.
Nicolas P. Rougier
Data parsing and validation using Python type hints

pydantic Data validation and settings management using Python type hinting. Fast and extensible, pydantic plays nicely with your linters/IDE/brain. De

Samuel Colvin 12.1k Jan 06, 2023
Learn Data Science with focus on adding value with the most efficient tech stack.

DataScienceWithPython Get started with Data Science with Python An engaging journey to become a Data Scientist with Python TL;DR Download all Jupyter

Learn Python with Rune 110 Dec 22, 2022
Simple spectra visualization tool for astronomers

SpecViewer A simple visualization tool for astronomers. Dependencies Python = 3.7.4 PyQt5 = 5.15.4 pyqtgraph == 0.10.0 numpy = 1.19.4 How to use py

5 Oct 07, 2021
Tandem Mass Spectrum Prediction with Graph Transformers

MassFormer This is the original implementation of MassFormer, a graph transformer for small molecule MS/MS prediction. Check out the preprint on arxiv

Röst Lab 13 Oct 27, 2022
A high-level plotting API for pandas, dask, xarray, and networkx built on HoloViews

hvPlot A high-level plotting API for the PyData ecosystem built on HoloViews. Build Status Coverage Latest dev release Latest release Docs What is it?

HoloViz 694 Jan 04, 2023
Python histogram library - histograms as updateable, fully semantic objects with visualization tools. [P]ython [HYST]ograms.

physt P(i/y)thon h(i/y)stograms. Inspired (and based on) numpy.histogram, but designed for humans(TM) on steroids(TM). The goal is to unify different

Jan Pipek 120 Dec 08, 2022
Tools for writing, submitting, debugging, and monitoring Storm topologies in pure Python

Petrel Tools for writing, submitting, debugging, and monitoring Storm topologies in pure Python. NOTE: The base Storm package provides storm.py, which

AirSage 247 Dec 18, 2021
Designed a greedy algorithm based on Markov sequential decision-making process in MATLAB/Python to optimize using Gurobi solver

Designed a greedy algorithm based on Markov sequential decision-making process in MATLAB/Python to optimize using Gurobi solver, the wheel size, gear shifting sequence by modeling drivetrain constrai

Sabbella Prasanna 1 Jan 11, 2022
HW_02 Data visualisation task

HW_02 Data visualisation and Matplotlib practice Instructions for HW_02 Idea for data analysis As I was brainstorming ideas and running through databa

9 Dec 13, 2022
A curated list of awesome Dash (plotly) resources

Awesome Dash A curated list of awesome Dash (plotly) resources Dash is a productive Python framework for building web applications. Written on top of

Luke Singham 1.7k Dec 26, 2022
PolytopeSampler is a Matlab implementation of constrained Riemannian Hamiltonian Monte Carlo for sampling from high dimensional disributions on polytopes

PolytopeSampler PolytopeSampler is a Matlab implementation of constrained Riemannian Hamiltonian Monte Carlo for sampling from high dimensional disrib

9 Sep 26, 2022
Simulation du problème de Monty Hall avec Python et matplotlib

Le problème de Monty Hall C'est un jeu télévisé où il y a trois portes sur le plateau de jeu. Seule une de ces portes cache un trésor. Il n'y a rien d

ETCHART YANG 1 Jan 06, 2022
Complex heatmaps are efficient to visualize associations between different sources of data sets and reveal potential patterns.

Make Complex Heatmaps Complex heatmaps are efficient to visualize associations between different sources of data sets and reveal potential patterns. H

Zuguang Gu 973 Jan 09, 2023
A set of useful perceptually uniform colormaps for plotting scientific data

Colorcet: Collection of perceptually uniform colormaps Build Status Coverage Latest dev release Latest release Docs What is it? Colorcet is a collecti

HoloViz 590 Dec 31, 2022
Moscow DEG 2021 elections plots

Построение графиков на основе публичных данных о ДЭГ в Москве в 2021г. Описание Скрипты в данном репозитории позволяют собственноручно построить графи

9 Jul 15, 2022
Implementation of SOMs (Self-Organizing Maps) with neighborhood-based map topologies.

py-self-organizing-maps Simple implementation of self-organizing maps (SOMs) A SOM is an unsupervised method for learning a mapping from a discrete ne

Jonas Grebe 6 Nov 22, 2022
simple tool to paint axis x and y

simple tool to paint axis x and y

G705 1 Oct 21, 2021
Visualizing weather changes across the world using third party APIs and Python.

WEATHER FORECASTING ACROSS THE WORLD Overview Python scripts were created to visualize the weather for over 500 cities across the world at varying di

G Johnson 0 Jun 12, 2021
Practical-statistics-for-data-scientists - Code repository for O'Reilly book

Code repository Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python by Peter Bruce, Andrew Bruce, and Peter Gedeck Pub

1.7k Jan 04, 2023
Minimal Ethereum fee data viewer for the terminal, contained in a single python script.

Minimal Ethereum fee data viewer for the terminal, contained in a single python script. Connects to your node and displays some metrics in real-time.

48 Dec 05, 2022