|B20 Data Management
||Data needs to be organized and handled well, or else it quickly becomes unusable. There are good and bad ways to do this.
||>How to use version control in data management?
>What kind of ordering makes the best structure?
||>What is not data management, in 5 minutes and
||>The Turing Way data management chapter
>Information for research at FSD
||Research data management at Aalto, at scicomp.aalto.fi
|B21 Jupyter Notebooks
||Notebooks are an efficient way to make self-documenting code and scripts and make data science a bit easier.
||>For what kind of work Jupyter suits the best?
>How is a Jupyter kernel launched?
||>Data analysis with Jupyter
||>CodeRefinery Jupyter course
||JupyterHub for students/misc work,
JupyterHub for HPC
|B30 Making figures
||How to make publication-quality figures for your work.
||>What kinds of tools exist for making figures and plots?
>What are some dos and don’ts for plots and figures?
||>Inkscape tutorials covering Inkscape basics for making figures, flowcharts, etc.
>A series of Matplotlib tutorials for plotting in
>ggplot2 tutorials in R.
||>PLOS guidelines for better figures
|B31 LaTeX for scientific publications
||LaTeX is the standard method for making publications in the computational and physical sciences.
||>How to build a LaTeX document?
||>LaTeX tutorial series covering LaTeX formatting and constructing a report
||>Introduction to LaTeX (online book)
>Short summary of LaTex features
||> Guide to LaTeX (FI)
|B32 Scientific posters
||Making a scientific poster is a common task, but not often taught. There are better tools than PowerPoint.
||>What makes a clear and concise poster?
||>The dos and don’ts of making a scientific poster
||>Basics of creating a Research Poster