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Python für Ingenieure für Dummies
Schlichtes Ausführen fertiger Software wird den Bedürfnissen des Ingenieuralltags nicht mehr gerecht. Oft muss Programmcode selbst entwickelt oder angepasst werden. Aber Ingenieure sind keine Softwareentwickler. Mit Python steht ein mächtiger und flexibler Werkzeugkasten zur Verfügung, der es erlaubt, eine große Klasse von Ingenieurproblemen - oft mit wenig Aufwand - zu lösen. Die Kernaufgaben sind dabei meist: Daten akquirieren, Lösungsalgorithmen anwenden, Ergebnisse visualisieren. Das Buch zeigt anhand zahlreicher Beispiele aus unterschiedlichen Anwendungsfeldern der Ingenieurwissenschaften, wie Python zur Lösung dieser Aufgaben eingesetzt werden kann. Gleichzeitig wird das nötige Hintergrundwissen vermittelt, um das Gelernte auf eigene Fragestellungen zu transferieren. Die vermittelten Kenntnisse sind anwendbar auf Übungsaufgaben im Studium genauso wie auf Probleme aus der Praxis.
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Scientific Scripting with Python
Learn how to automate your scientific research with Python. This book teaches you the basics of the popular Python scripting language, before delving deep into all aspects of processing data. Python is a simple, yet powerful, programming language similar to Perl, Tcl, and Ruby. It is heavily used in scientific research, and by companies like Google. This book places a strong emphasis on practical techniques for handling data. Although targeted specifically at scientists and engineers, anyone who needs to automate their work flow would find it useful.
R 1,215.56
Earth Observation Using Python
Learn basic Python programming to create functional and effective visualizations from earth observation satellite data sets Thousands of satellite datasets are freely available online, but scientists need the right tools to efficiently analyze data and share results. Python has easy-to-learn syntax and thousands of libraries to perform common Earth science programming tasks. Earth Observation Using Python: A Practical Programming Guide presents an example-driven collection of basic methods, applications, and visualizations to process satellite data sets for Earth science research. Gain Python fluency using real data and case studiesRead and write common scientific data formats, like netCDF, HDF, and GRIB2Create 3-dimensional maps of dust, fire, vegetation indices and moreLearn to adjust satellite imagery resolution, apply quality control, and handle big filesDevelop useful workflows and learn to share code using version controlAcquire skills using online interactive code available for all examples in the book The American Geophysical Union promotes discovery in Earth and space science for the benefit of humanity. Its publications disseminate scientific knowledge and provide resources for researchers, students, and professionals.Find out more about this book from this Q&A with the Author
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Computational Physics - A Practical Introduction to Computational Physics and Scientific Computing (Using C++), Vol. I
This book is an introduction to the computational methods used in physics and other related scientific fields. It is addressed to an audience that has already been exposed to the introductory level of college physics, usually taught during the first two years of an undergraduate program in science and engineering. It assumes no prior knowledge of numerical analysis, programming or computers and teaches whatever is necessary for the solution of the problems addressed in the text. C++ is used for programming the core programs and data analysis is performed using the powerful tools of the GNU/Linux environment. All the necessary software is open source and freely available. The book starts with very simple problems in particle motion and ends with an in-depth discussion of advanced techniques used in Monte Carlo simulations in statistical mechanics. The level of instruction rises slowly, while discussing problems like the diffusion equation, electrostatics on the plane, quantum mechanics and random walks.
R 1,283.99
Computational Physics - A Practical Introduction to Computational Physics and Scientific Computing (Using C++), Vol. II
This book is an introduction to the computational methods used in physics and other related scientific fields. It is addressed to an audience that has already been exposed to the introductory level of college physics, usually taught during the first two years of an undergraduate program in science and engineering. It assumes no prior knowledge of numerical analysis, programming or computers and teaches whatever is necessary for the solution of the problems addressed in the text. C++ is used for programming the core programs and data analysis is performed using the powerful tools of the GNU/Linux environment. All the necessary software is open source and freely available. The book starts with very simple problems in particle motion and ends with an in-depth discussion of advanced techniques used in Monte Carlo simulations in statistical mechanics. The level of instruction rises slowly, while discussing problems like the diffusion equation, electrostatics on the plane, quantum mechanics and random walks.
R 1,350.81
Introduction to Astronomy
An Introduction to Astronomy in 10 chapters, for serious beginners
R 628.67
Truth: An Introduction (1)
This Book Provides an Introduction to an Attempt at Formulating the Foundations for an Axiomatisation of a Logic that is Consistent, as well as Consistently Completable, that is, a Logic not Subject to Goedel's Theorem. Also see Associated Web Site: De Veritatis Naturam
R 2,405.00
R 1,451.45
