| 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
>Data structuring |
>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
video series. |
>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
Python.
>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 |
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