Nowadays, a considerable amount of biological data is being generated in all sectors of society. As a result of this, there is a high demand for professionals with multidisciplinary knowledge and skills in the areas of biological data analysis as well as a high level of computer program expertise.

Among the numerous existing informatics applications and software for analysing and interpreting data       and Phyton  stand out as the most cited in the literature and are the most suitable for those who want to create their own computer tools and data analysis apps for easy and quick integration into research.

      is a free software program in continuous evolution that allows performing advanced statistical procedures, data manipulation, and alternative graphics to those commonly obtained with other software, mainly with the use of Bioconductor (Open Source Software for Bioinformatics- https://www.bioconductor.org/) that currently manages 1823 libraries in the area of Bioinformatics.

Phyton       proved to be a fundamental tool for the analysis of this type of data, progressing at the same time as the analytical techniques, standing out in the last decade as the preferred language in the area.

It is intended to present the potential of both software briefly, illustrate their use in some analyses of genetic and biological data, basic commands and packages.

 Participants must bring computer with an Internet connection and, if possible, R software (https://www.r-project.org/ ), RStudio (https://rstudio.com/) and Phyton (Anaconda: https : / / www.anaconda.com/) already installed. Some biological problems in R and Phyton and resolution, based on predefined scripts, will be presented to support the execution of programming procedures.