Algorithmen in Python: Das Buch zum Programmieren trainieren. 32 Klassiker der Informatik, von Damenproblem bis Neuronale Netze

Programmieren trainieren mit Python-Algorithmen Programmieren trainieren mit bekannten und modernen Klassikern! Von der Suche bis zu k-Means, vom Dreizeiler bis zur dynamischen Programmierung und KI Fr Studium, Coding-Katas, Workouts oder in Eigeninitiative fr jeden ist etwas dabei Titel der Originalausgabe: 'Classic Computer Science Problems in Python'. bersetzt aus dem Amerikanischen von Sascha Kersken. Das Programmiertraining fr alle, die ihre ersten Schritte in der Programmierung gemacht haben und jetzt richtig durchstarten wollen! David Kopec stellt Ihnen in diesem Buch eine umfassende, zeitgeme Auswahl an Algorithmen vor. Beginnen Sie mit einfachen Algorithmen zur Verschlsselung und fr die Suche und vertiefen Sie Ihr Wissen bei genetischen Algorithmen und Neuronalen Netzen. Jede problemlsende Technik wird an einem konkreten Beispiel anschaulich vorgefhrt. Darunter sind viele bekannte Klassiker der Informatik, aber auch neue Aufgaben. An zahlreichen Code-Beispielen in Python lernen Sie, wie Sie die Algorithmen implementieren und selbst in Algorithmen denken. So ist das Buch eine wertvolle Hilfe fr jeden, der professionell programmieren mchte. Jetzt gehts los: Lsen Sie das Damenproblem, helfen Sie den Missionaren ber den Fluss, ohne von Kannibalen zu gefressen werden, und geben Sie dem Dieb Tipps, welche Stcke er in seinen Rucksack packen soll. Aus dem Inhalt: Die Fibonacci-Folge, einfache Komprimierung, unknackbare Verschlsselung, Pi berechnen DNS durchsuchen, Wege durchs Labyrinth, Flussberquerungsrtsel Damenproblem, Vier-Farben-Satz, Wortsuchrtsel grafische Algorithmen genetische Algorithmen k-Means-Algorithmen einfache neuronale Netze Tic-tac-toe, Vier gewinnt Das Rucksackproblem, Das Problem des Handlungsreisenden und auerdem: zahlreiche Code-Beispiele in Python, Hinweise zum Einsatz der Algorithmen, bungen und Tipps fr die Programmier-Praxis

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