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Computational Physics: Problem Solving with Python
The use of computation and simulation has become an essential part of the scientific process. Being able to transform a theory into an algorithm requires significant theoretical insight, detailed physical and mathematical understanding, and a working level of competency in programming.
This upper-division text provides an ... | | Lean Python: Learn Just Enough Python to Build Useful Tools
Learn only the essential aspects of Python without cluttering up your mind with features you may never use. This compact book is not a "best way to write code" type of book; rather, the author goes over his most-used functions, which are all you need to know as a beginner and some way beyond.
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Python: Master the Art of Design Patterns
About This Book
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Learn all about abstract design patterns and how to implement them in Python 3
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Understand the structural, creational, and behavioral Python design patterns
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Get to know the context and application of design patterns to solve real-world problems in software...
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Modern Programming Made Easy: Using Java, Scala, Groovy, and JavaScript
Get up and running fast with the basics of programming using Java as an example language. This short book gets you thinking like a programmer in an easy and entertaining way. Modern Programming Made Easy teaches you basic coding principles, including working with lists, sets, arrays, and maps; coding in the object-oriented... | | | | Probability and Statistics for Computer Scientists
Student-Friendly Coverage of Probability, Statistical Methods, Simulation, and Modeling Tools
Incorporating feedback from instructors and researchers who used the previous edition, Probability and Statistics for Computer Scientists, Second Edition helps students understand general methods of stochastic... |
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