-
001 PREFACE
-
01 GETTING STARTED(optional)
-
02 INTRODUCTION TO PYTHON
-
03 SOME SIMPLE NUMERICAL PROGRAMS
-
04 FUNCTIONS SCOPING AND ABSTRACTION
-
05 STRUCTURED TYPES MUTABILITY AND HIGHERORDER FUNCTIONS
-
PyThermo_C_Python
-
PyThermo_IF97
-
PyThermo_IdealRankineCycle
-
PyThermo_ReheatCycleWithTurbineIrreversibility(optional)
-
06 TESTING AND DEBUGGING
-
07 EXCEPTIONS AND ASSERTIONS
-
08 CLASSES AND OBJECT-ORIENTED PROGRAMMING
-
11 PLOTTING AND MORE ABOUT CLASSES
-
15 UNDERSTANDING EXPERIMENTAL DATA
-
16 LIES DAMNED LIES AND STATISTICS
-
DevTools unittest
-
DevTools Profilers
-
DevTools timeitt(optional)
-
DevTools doctest(optional)
-
DevTools Debugger(optional)
-
DevTools pydoc(optional)
-
09 A SIMPLISTIC INTRODUCTION TO ALGORITHMIC
-
10 SOME SIMPLE ALGORITHMS AND DATA STRUCTURES
-
17 KNAPSACK AND GRAPH OPTIMIZATION PROBLEMS(optional)
-
18 DYNAMIC PROGRAMMING(optional)
-
14 MONTE CARLO SIMULATION(optional)
-
PySIS_Online_Monitoring_x(optional)
-
Sup1_MathJax-LaTeX(optional)
-
Sup2-version-Control-Git(optional)