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Programming for Computations – Python - A Gentle Introduction to Numerical Simulations with Python
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42 2 BasicConstructions Alistmayalsobecreatedbysimplywriting, e.g., x = [’hello’, 4, 3.14, 6] givinga listwherex[0]contains thestringhello,x[1]contains the integer4, etc. Wemayaddand/ordelete elements anywhere in the list as shown in the following example. x = [’hello’, 4, 3.14, 6] x.insert(0, -2) # x then becomes [-2, ’hello’, 4, 3.14, 6] del x[3] # x then becomes [-2, ’hello’, 4, 6] x.append(3.14) # x then becomes [-2, ’hello’, 4, 6, 3.14] Notethewaysofwritingthedifferentoperationshere.Usingappend()willalways increase the list at the end. If you like, youmay create an empty list as x = [] before you enter a loopwhich appends element by element. If you need to know the length of the list, you get the number of elements fromlen(x),which in our caseis5,afterappending3.14above.Thisfunctionishandyifyouwant totraverse all list elements by index, sincerange(len(x))givesyouall legal indices. Note that therearemanymoreoperationson lists possible thanshownhere. Previously,wesawhowafor loopmayrunoverarrayelements.Whenwewant todo thesamewitha list inPython,wemaydo it as this little exampleshows, x = [’hello’, 4, 3.14, 6] for e in x: print ’x element: ’, e print ’This was all the elements in the list x’ This is how it usually is done inPython, andwe see thate runsover the elements ofxdirectly, avoiding the need for indexing. Be aware, however, thatwhen loops arewritten like this, youcannotchangeanyelement inxby“changing”e. That is, writinge += 2will not changeanything inx, sincee canonlybeused to read (as opposed tooverwrite) the list elements. There isaspecialconstruct inPythonthatallowsyoutorunthroughallelements of a list, do the sameoperationoneach, andstore thenewelements in another list. It is referred toas list comprehensionandmaybedemonstratedas follows. List_1 = [1, 2, 3, 4] List_2 = [e*10 for e in List_1] This will produce a new list by the name List_2, containing the elements 10, 20, 30 and 40, in that order. Notice the syntax within the brackets for List_2, for e in List_1 signals thate is to successively be each of the list elements in List_1, and for eache, create the next element inList_2bydoinge*10. More generally, the syntaxmaybewrittenas List_2 = [E(e) for e in List_1] whereE(e)meanssomeexpression involvinge.
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Programming for Computations – Python A Gentle Introduction to Numerical Simulations with Python
Titel
Programming for Computations – Python
Untertitel
A Gentle Introduction to Numerical Simulations with Python
Autoren
Svein Linge
Hans Petter Langtangen
Verlag
Springer Open
Datum
2016
Sprache
englisch
Lizenz
CC BY-NC 4.0
ISBN
978-3-319-32428-9
Abmessungen
17.8 x 25.4 cm
Seiten
248
Schlagwörter
Programmiersprache, Informatik, programming language, functional, imperative, object-oriented, reflective
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Programming for Computations – Python