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Programming for Computations – Python - A Gentle Introduction to Numerical Simulations with Python 3.6, Band Second Edition
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Seite - 129 - in Programming for Computations – Python - A Gentle Introduction to Numerical Simulations with Python 3.6, Band Second Edition

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5.7 Exercises 129 gene[i], and a substring from index i up to, but not including j, is created by gene[i:j]. a) Write a functionfreq(letter, text) that returns the frequency of the letter letter in thestringtext, i.e., thenumberofoccurrencesofletterdividedby the lengthoftext.Call the functiontodeterminethefrequencyofCandG in the gene stringabove.Compute the frequencybyhand too. b) Write a function pairs(letter, text) that counts how many times a pair of the letterletter (e.g.,GG)occurswithin thestringtext.Use the function to determinehowmanytimesthepairAAappears in thestringgeneabove.Perform a manualcounting too tocheck theanswer. c) Write a functionmystruct(text) that counts thenumberofacertain structure in thestringtext.Thestructure isdefinedasG followedbyAorTuntil adouble GG.Performamanualsearchfor thestructure too tocontrol thecomputationsby mystruct. Filename:count_substrings.py. Remarks Youaresupposedtosolvethetasksusingsimpleprogrammingwithloops andvariables.Whilea)andb)arequitestraightforward,c)quicklyinvolvesdemand- ing logic. However, there are powerful tools available in Python that can solve the tasks efficiently in very compact code: a) text.count(letter)/len(text); b) text.count(letter*2);c)len(re.findall(’G[AT]+?GG’, text)).That is, thereis richfunctionalityforanalysisof text inPythonandthis isparticularlyuseful inanalysisofgenesequences. Exercise5.8:ComputeCombinationsofSets Consideran IDnumberconsistingof two lettersand threedigits, e.g.,RE198.How many different numbers can we have, and how can a program generate all these combinations? If a collection of n things can have m1 variations of the first thing, m2 of the second and so on, the total number of variations of the collection equals m1m2 · · ·mn. In particular, the ID number exemplified above can have 26 · 26 · 10 ·10 ·10 = 676,000variations. To generate all the combinations,we must have five nested for loops. The first two run over all letters A, B, and so on to Z, while thenext three runoverall digits0,1,.. .,9. To convince yourself about this result, start out with an ID number on the form A3 where the first part can vary amongA, B, and C, and the digit can be among1, 2, or 3. We must start with A and combine it with 1, 2, and 3, then continue with B, combinedwith 1, 2, and 3, and finally combineC with 1, 2, and3. A double for loopdoes thework. a) In a deck of cards, each card is a combinationof a rankand a suit. There are 13 ranks: ace (A), 2, 3, 4, 5, 6, 7, 8, 9, 10, jack (J), queen (Q), king (K), and four suits: clubs(C),diamonds(D),hearts (H),andspades(S).Atypicalcardmaybe D3.Write statements thatgeneratea deckofcards, i.e., all thecombinationsCA, C2,C3, andso on toSK.
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Programming for Computations – Python A Gentle Introduction to Numerical Simulations with Python 3.6, Band Second Edition
Titel
Programming for Computations – Python
Untertitel
A Gentle Introduction to Numerical Simulations with Python 3.6
Band
Second Edition
Autoren
Svein Linge
Hans Petter Langtangen
Verlag
Springer Open
Datum
2020
Sprache
englisch
Lizenz
CC BY 4.0
ISBN
978-3-319-32428-9
Abmessungen
17.8 x 25.4 cm
Seiten
356
Schlagwörter
Programmiersprache, Informatik, programming language, functional, imperative, object-oriented, reflective
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Programming for Computations – Python