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| ==== Knowing syntax vs programming ==== ==== Inbuilt types and classes ==== int, float, str, list and dict ==== Classes and sub-classes ==== ==== Repetiton and Decisions ==== ==== Functions ==== ==== Modules and Packages ==== ==== Standard libraries ==== Not all of them ! In practice math and random are the most commonly with {{{ScrumPy}}}. sys and os are also useful - any other suggestions ? |
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| === Overview === === Identifiers === === Reactions === === Directives === |
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| === The Matrix Class === Fully described in utility section - enough here to understand SMs, datasets and monitors. |
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| == The Utility Package == === Dynamic Matrices === |
ScrumPy Manual
Introduction
Metabolic Modelling
Design Philosophy
Python
Knowing syntax vs programming
Inbuilt types and classes
int, float, str, list and dict
Classes and sub-classes
Repetiton and Decisions
Functions
Modules and Packages
Standard libraries
Not all of them ! In practice math and random are the most commonly with ScrumPy. sys and os are also useful - any other suggestions ?
ScrumPy Model Description Language
Overview
Identifiers
Reactions
Directives
Analysis of Models With ScrumPy
The ScrumPy Modelling Environment
The Matrix Class
Fully described in utility section - enough here to understand SMs, datasets and monitors.
Anatomy of a ScrumPy Model
Kinetic Modelling
Structural Modelling
Linear Programming
Secondary Analysis of Model Results
Data sets
Fitting and Optimisation
Automatic Model Building
Bioinformatics Functions
The Utility Package