First semester

Tools and Software for Statisticians

Teacher(s): Cédric COURALET, Ludovic DENEUVILLE, Donatien ENEMAN, Johann FAOUZI, Gaspard FEREY, Romaric GAUDEL, Augustin GODINOT, Inès HIVERLET, Chloé IMADACHE, Pierre LAMARCHE, Christophe LESIEUR, Ikko YAMANE

Course type: COMPUTER SCIENCE

Correspondant: Cédric HERZET

Unit: UE 1-02-M-E-S: Methodology and practice of exploratory statistics

Course code: 1AINF02

Distribution of courses: Heures de TP : 9

Language of teaching: French

Evaluation methods: Pas d'évaluation

Objectives

Learn the basics of Git to version your work and collaborate effectively within a team ; Discover and use Datalabs ; Jupyter notebook: Simple way to mix code and results (numerical or figures) to provide proof of concept, particularly in Python.

Course outline

Git: Principle, main commands, creating your repo ; Datalab: Cloud environment, services, resource reservation, S3 storage ; Jupyter notebook: Python, pandas, numpy, matplotlib

Prerequisites

None