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--- tools:modular:index [2019/01/27 19:05] – created till
+++ tools:modular:index [2020/09/27 12:24] (current) – [Which tool to use] till
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-====== Modular routines ======
+{{fa>cubes?48&align=right}}
+ ====== Modular routines ======
+//One task per routine and well-defined interfaces//
+<WRAP group>
+<WRAP column 32px>{{fa>key?32}}</WRAP>
+<WRAP column 85%>
+  * A system for scientific data analysis needs to be easy-to-use\\ and to provide clear advantages to be employed.
+  * A system for scientific data analysis is much more complex\\ as single programs for data analysis.
+</WRAP>
+</WRAP>
+[[:concepts:modularisation:|Modularisation]] is one of the key concepts not only of (software for) reproducible research, but of software development as a whole. Without modularisation no reuse, and without reuse no chance to tackle complex tasks.
+===== Which tool to use =====
+Note: This section is clearly opinionated. There are definitely other tools available. However, this is the tool the author recommends from own experience.
+<WRAP group>
+<WRAP column 32px>[[https://www.python.org/|{{fa>cubes?32}}]]</WRAP>
+<WRAP column 76%>
+[[https://www.python.org/|Python]]\\ Probably currently the best available open-source high-level language for scientific programming
+</WRAP>
+</WRAP>
+<WRAP group>
+<WRAP column 32px>[[https://www.scipy.org/|{{fa>cubes?32}}]]</WRAP>
+<WRAP column 85%>
+[[https://www.scipy.org/|SciPy]]\\ Python-based ecosystem of open-source software for mathematics, science, and engineering\\ NumPy, SciPy, Matplotlib, iPython, Sympy, pandas
+</WRAP>
+</WRAP>
+\\
+<WRAP half column leftalign><WRAP button>[[..:license:|← License]]</WRAP></WRAP>
+<WRAP half column rightalign><WRAP button>[[..:metadata:|Metadata →]]</WRAP></WRAP>
-//xxx//