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Introduction to Computing Using Python: An Application Development Focus, 2nd Edition

Author: Ljubomir Perkovic

Publisher: Wiley Global Education


Category: Computers

Page: 480

View: 548

Perkovic's Introduction to Programming Using Python: An Application Development Focus, 2e is more than just an introduction to programming. It is an inclusive introduction to Computer Science that takes the pedagogical approach of "the right tool for the job at the right moment," and focuses on application development. The approach is hands-on and problem-oriented, with practice problems and solutions appearing throughout the text. The text is imperative-first, but does not shy away from discussing objects early where appropriate. Discussions of user-defined classes and Object-Oriented Programming appear later in the text, when students have more background and concepts can be motivated. Chapters include an introduction to problem solving techniques and classical algorithms, problem-solving and programming and ways to apply core skills to application development. This edition also includes examples and practice problems provided within a greater variety of domains. It also includes case studies integrated into additional chapters, providing students with real life applications using the concepts and tools covered in the chapters.

Introduction to Computing Using Python

An Application Development Focus

Author: Ljubomir Perkovic

Publisher: Wiley


Category: Computers

Page: 512

View: 920

Perkovic's Introduction to Programming Using Python provides an imperative-first introduction to Python focusing on computer applications and the process of developing them. The text helps develop computational thinking skills by covering patterns of how problems can be broken down and constructively solved to produce an algorithmic solution. The approach is hands-on and problem oriented. The book also introduces a subset of the Python language early on to help write small functions. Chapters include an introduction to problem solving techniques and classical algorithms, problem-solving and programming and ways to apply core skills to application development.

Chemical and Biomedical Engineering Calculations Using Python

Author: Jeffrey J. Heys

Publisher: John Wiley & Sons


Category: Science

Page: 288

View: 240

2.2.1 Installation of Python -- 2.2.2 Alternative to Installation: SageMathCloud -- 2.3 Python Variables and Operators -- 2.3.1 Updating Variables -- 2.3.2 Containers -- 2.4 External Libraries -- 2.4.1 Finding Documentation -- Problems -- Additional Resources -- References -- Chapter 3 Programming Basics -- 3.1 Comparators and Conditionals -- 3.2 Iterators and Loops -- 3.2.1 Indentation Style -- 3.3 Functions -- 3.3.1 Pizza Example -- 3.3.2 Print Function -- 3.4 Debugging or Fixing Errors -- 3.5 Top 10+ Python Error Messages -- Problems -- Additional Resources -- References

Introduction to Computation and Programming Using Python

With Application to Understanding Data

Author: John V. Guttag

Publisher: MIT Press


Category: Computers

Page: 472

View: 540

The new edition of an introductory text that teaches students the art of computational problem solving, covering topics ranging from simple algorithms to information visualization.

Numerical Python

A Practical Techniques Approach for Industry

Author: Robert Johansson

Publisher: Apress


Category: Computers

Page: 487

View: 723

Numerical Python by Robert Johansson shows you how to leverage the numerical and mathematical modules in Python and its Standard Library as well as popular open source numerical Python packages like NumPy, FiPy, matplotlib and more to numerically compute solutions and mathematically model applications in a number of areas like big data, cloud computing, financial engineering, business management and more. After reading and using this book, you'll get some takeaway case study examples of applications that can be found in areas like business management, big data/cloud computing, financial engineering (i.e., options trading investment alternatives), and even games. Up until very recently, Python was mostly regarded as just a web scripting language. Well, computational scientists and engineers have recently discovered the flexibility and power of Python to do more. Big data analytics and cloud computing programmers are seeing Python's immense use. Financial engineers are also now employing Python in their work. Python seems to be evolving as a language that can even rival C++, Fortran, and Pascal/Delphi for numerical and mathematical computations.

Introduction to Computer Science Using Python

A Computational Problem-Solving Focus Wiley E-text Reg Card

Author: Dierbach





View: 825

Bioinformatics - the use of computers to retrieve, process, analyze and simulate biological information - promises to revolutionize the process of drug discovery and development. This book provides a broad, application-oriented overview of this technology. Contributions by internationally renowned specialists in the field afford a detailed insight into single bioinformatics components and algorithmic methods. In addition, the state-of-the-art in bioinformatics is evaluated equally from a global view by introducing real application scenarios such as genome projects that require the use of a whole set of bioinformatics tools. The profound knowledge on bioinformatics presented here not only enables readers to go beyond a mere push-button approach to using bioinformatics software and interpreting the data generated appropriately. It is also essential to assess the potential and limitations of today's bioinformatics software and future challenges. Directed to all those involved in the use or development of new bioinformatics tools - scientists and managers from the fields of molecular biotechnology, pharmaceutics, and medicinal chemistry - this book will lead one step further on the way to rational drug design

Getting Started with Python and Raspberry Pi

Author: Dan Nixon

Publisher: Packt Publishing Ltd


Category: Computers

Page: 200

View: 137

Learn to design and implement reliable Python applications on the Raspberry Pi using a range of external libraries, the Raspberry Pis GPIO port, and the camera module About This Book Learn the fundamentals of Python scripting and application programming Design user-friendly command-line and graphical user interfaces A step-by-step guide to learning Python programming with the Pi Who This Book Is For This book is designed for those who are unfamiliar with the art of Python development and want to get to know their way round the language and the many additional libraries that allow you to get a full application up and running in no time. What You Will Learn Fundamentals of Python applications Designing applications for multi-threading Interacting with electronics and physical devices Debugging applications when they go wrong Packaging and installing Python modules User interface design using Qt Building easy to use command-line interfaces Connecting applications to the Internet In Detail The Raspberry Pi is one of the smallest and most affordable single board computers that has taken over the world of hobby electronics and programming, and the Python programming language makes this the perfect platform to start coding with. The book will start with a brief introduction to Raspberry Pi and Python. We will direct you to the official documentation that helps you set up your Raspberry Pi with the necessary equipment such as the monitor, keyboard, mouse, power supply, and so on. It will then dive right into the basics of Python programming. Later, it will focus on other Python tasks, for instance, interfacing with hardware, GUI programming, and more. Once you get well versed with the basic programming, the book will then teach you to develop Python/Raspberry Pi applications. By the end of this book, you will be able to develop Raspberry Pi applications with Python and will have good understanding of Python programming for Raspberry Pi. Style and approach An easy-to-follow introduction to Python scripting and application development through clear conceptual explanations backed up by real-world examples on the Raspberry Pi.

Core Python Programming

Author: Wesley Chun

Publisher: Prentice Hall Professional


Category: Computers

Page: 771

View: 129

Demonstrates the programming language's strength as a Web development tool, covering syntax, data types, built-ins, the Python standard module library, and real world examples.

High Performance Computing for Computational Science - VECPAR 2006

7th International Conference, Rio de Janeiro, Brazil, June 10-13, 2006, Revised Selected and Invited Papers

Author: Michel Daydé

Publisher: Springer Science & Business Media


Category: Computers

Page: 721

View: 401

Following the practice of all previous editions of the VECPAR series of conf- ences, the most signi'cant contributions have been organized and made ava- able in a book, edited after the conference, and after a second review of all orally presented papers at VECPAR 2006,the seventh International Meeting on High-PerformanceComputing forComputationalScience,held inRiodeJaneiro (Brazil), June 10-13, 2006. After the conference is ?nished this is what is left, a document that, we hope, can be a reference to a wide range of researchers in computational science. For the ?rst time, and re'ecting the conference programme of the seventh edition of the VECPAR series, this book includes some of the presentations at the two workshops, namely: WCGC 2006 -- Workshop on Computational Grids and Clusters: Models, Middlewares, Testbeds, Architectures, User Feedback HPDGrid 2006 -- International Workshop on High-Performance Data M- agement in Grid Environments Both the workshops and the conference programme evidence the current trends in computer and computational science, with an increasing importance of the Grid technologies.

The Definitive Guide to Jython

Python for the Java Platform

Author: Josh Juneau

Publisher: Apress


Category: Computers

Page: 544

View: 921

Jython is an open source implementation of the high-level, dynamic, object-oriented scripting language Python seamlessly integrated with the Java platform. The predecessor to Jython, JPython, is certified as 100% Pure Java. Jython is freely available for both commercial and noncommercial use and is distributed with source code. Jython is complementary to Java. The Definitive Guide to Jython, written by the official Jython team leads, covers Jython 2.5 (or 2.5.x)—from the basics to more advanced features. This book begins with a brief introduction to the language and then journeys through Jython’s different features and uses. The Definitive Guide to Jython is organized for beginners as well as advanced users of the language. The book provides a general overview of the Jython language itself, but it also includes intermediate and advanced topics regarding database, web, and graphical user interface (GUI) applications; Web services/SOA; and integration, concurrency, and parallelism, to name a few. What you’ll learn How to handle Jython basics like language syntax and concepts How to use the Jython scripting language for I/O, Java/Jython integration, and Jython in an IDE and databases How to integrate Jython with the Django web framework and even Spring How to develop web applications with Jython including web services/SOA, GUI considerations, and deployment targets How to conduct testing, continuous integration, concurrency, scaling, and more with Jython Who this book is for This book is for Java web developers looking to use a dynamic scripting language as an alternative to Groovy or JRuby. Other web developers who use Python and Django may also be interested in this book. Table of Contents Language and Syntax Data Types and Referencing Operators, Expressions, and Program Flow Defining Functions and Using Built-ins Input and Output Object-Oriented Jython Exception Handling and Debugging Modules and Packages for Code Reuse Scripting With Jython Jython and Java Integration Using Jython in an IDE Databases and Jython: Object Relational Mapping and Using JDBC Simple Web Applications Web Applications With Django Introduction to Pylons GUI Applications Deployment Targets Strategy and Technique Testing and Continuous Integration Concurrency Appendix A: Using Other Tools with Jython Appendix B: Jython Cookbook Appendix C: Built-in Functions

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