Data science is an emerging, multidisciplinary field of scientific methods, processes, algorithm development and technology to extract knowledge or insights in ingenious ways from structured or unstructured data.
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Category: Scientific
Stars and Stripes: NASA and Linux
The National Aeronautics and Space Administration (NASA) is an independent agency of the U.S. federal government responsible for the civilian space program. How is NASA embracing Linux and open source?
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TermTrack – Track satellites in your terminal
TermTrack is a terminal-based program that lets you track the orbits of artificial satellites. The program is written in Python.
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AWOW AK41 Mini Desktop PC – Astronomy – Week 9
For this week’s blog, we look at how well the most popular open source astronomy programs run on the AWOW AK41.
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Termgraph – draw basic graphs in the terminal
Termgraph is a command-line tool which draws basic graphs in the terminal. Termgraph is free and open source software and written in Python.
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Introduction to Python for Data Science
This is a short introductory training session on the use of Python in data science using Jupyter, pandas library and plotnine package. We focus on a common task in data science: import a data set, manipulate its structure, and then visualise the data. We shall use Python and a Jupyter Notebook to accomplish this task.
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Linux at Home: Explore the Universe from your Garden
Astronomy is for everyone, and even with just the naked eye, it’s a fascinating and rewarding hobby for life. Here’s free software to get you started.
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Introduction to R and RStudio for Data Science
This is a short introductory training session on the use of R in data science.
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Golly – exploring cellular automata like the Game of Life
Golly is a free and open source cross-platform application for exploring Conway’s Game of Life and many other types of cellular automata.
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DataExplore – free Python based data plotting and analysis software
DataExplore is an open source desktop application for data analysis and plotting intended for use in both research and education. It’s targeted at non-programmers who want to perform fairly advanced table manipulation methods. It also offers fast, dynamic plot creation from selected data suitable for publication. A variety of table analysis tools are provided.
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