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Paperback. Zustand: New. A fully updated tutorial on the basics of the Python programming language for science studentsPython is a computer programming language that has gained popularity throughout the sciences. This fully updated second edition of A Student's Guide to Python for Physical Modeling aims to help you, the student, teach yourself enough of the Python programming language to get started with physical modeling. You will learn how to install an open-source Python programming environment and use it to accomplish many common scientific computing tasks: importing, exporting, and visualizing data; numerical analysis; and simulation. No prior programming experience is assumed.This guide introduces a wide range of useful tools, including:Basic Python programming and scriptingNumerical arraysTwo- and three-dimensional graphicsAnimationMonte Carlo simulationsNumerical methods, including solving ordinary differential equationsImage processingNumerous code samples and exercises-with solutions-illustrate new ideas as they are introduced. This guide also includes supplemental online resources: code samples, data sets, tutorials, and more. This edition includes new material on symbolic calculations with SymPy, an introduction to Python libraries for data science and machine learning (pandas and sklearn), and a primer on Python classes and object-oriented programming. A new appendix also introduces command line tools and version control with Git.…

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* Umfang/Format: 48 Seiten : zahlreiche Illustrationen ; 24 cm * Einbandart und Originalverkaufspreis: fester Pappeinband : EUR 4.95 (DE), EUR 5.10 (AT), sfr 9.20 3-8212-2508-4 fester Pappeinband : EUR 4.95 (DE), EUR 5.10 (AT), sfr 9.20 * Sachgebiet: Kinder- und Jugendliteratur Liebe Eltern, Lesen ist eine der wichtigsten Kulturtechniken, die Kinder erlernen müssen. Denn die Lesekompetenz ist ausschlaggebend für den Erfolg in Schule und Beruf. Um das Lesenlernen zu erleichtern, wurde diese Reihe geschaffen. Die Einteilung in Lesestufen macht es einfach, Anfängern je nach Können den richtigen Lesestoff anzubieten. So wird Ihr Kind weder unterfordert und gelangweilt noch überfordert und abgeschreckt. Spannende Geschichten, ein angepasster Wortschatz und Texte in der optimalen Länge sorgen in jeder Stufe für Lesespaß und motivieren Ihr Kind, die nächste Stufe zu erklimmen. Viel Freude mit diesem Buch! Schritt für Schritt lesen lernen Lesestufe 1 Überschaubare Geschichten, kurze Sätze, ein einfacher Wortschatz und extragroße Fibelschrift vermitteln Anfängern Spaß am Lesen. Lesestufe 2 Für Kinder, die anfangen allein zu lesen, stellen spannende Geschichten mit angepasstem Wortschatz eine neue Herausforderung dar. 7 Lesestufe 3 Kleinere Bilder geben Raum für längere Texte. Kapitel für Kapitel lernen selbstständig lesende Kinder in komplexeren Geschichten neue Wörter kennen. gutes Exemplar, ordentlich * Verlag: Hamburg : Xenos * Bindung: gebundene Ausgabe.…

Paperback. Zustand: New. A fully updated tutorial on the basics of the Python programming language for science studentsPython is a computer programming language that has gained popularity throughout the sciences. This fully updated second edition of A Student's Guide to Python for Physical Modeling aims to help you, the student, teach yourself enough of the Python programming language to get started with physical modeling. You will learn how to install an open-source Python programming environment and use it to accomplish many common scientific computing tasks: importing, exporting, and visualizing data; numerical analysis; and simulation. No prior programming experience is assumed.This guide introduces a wide range of useful tools, including:Basic Python programming and scriptingNumerical arraysTwo- and three-dimensional graphicsAnimationMonte Carlo simulationsNumerical methods, including solving ordinary differential equationsImage processingNumerous code samples and exercises-with solutions-illustrate new ideas as they are introduced. This guide also includes supplemental online resources: code samples, data sets, tutorials, and more. This edition includes new material on symbolic calculations with SymPy, an introduction to Python libraries for data science and machine learning (pandas and sklearn), and a primer on Python classes and object-oriented programming. A new appendix also introduces command line tools and version control with Git.…