THE-PRACTICE-OF-COMPUTING-USING-PYTHON

Download The-practice-of-computing-using-python ebook PDF or Read Online books in PDF, EPUB, and Mobi Format. Click Download or Read Online button to THE-PRACTICE-OF-COMPUTING-USING-PYTHON book pdf for free now.

The Practice Of Computing Using Python

Author : William F. Punch
ISBN : 0136110673
Genre : Computers
File Size : 40.2 MB
Format : PDF, Kindle
Download : 645
Read : 595

For CS1 courses in Python Programming including majors and non-majors alike. A problem-solving approach to programming with Python. The Practice of Computing Using Pythonintroduces CS1 students (majors and non-majors) to computational thinking using Python. With data-manipulation as a theme, students quickly see the value in what they’re learning and leave the course with a set of immediately useful computational skills that can be applied to problems they encounter in future pursuits. The book takes an “object-use-first” approach–writing classes are covered only after students have mastered using objects.
Category: Computers

Practice Of Computing Using Python The Pearson New International Edition

Author : William F. Punch
ISBN : 9781292038353
Genre : Computers
File Size : 50.2 MB
Format : PDF, Docs
Download : 968
Read : 1243

For CS1 courses in Python Programming (including majors and non-majors). A problem-solving approach to programming with Python. The Practice of Computing Using Python introduces CS1 students (majors and non-majors) to computational thinking using Python.With data-manipulation as a theme, students quickly see the value in what they’re learning and leave the course with a set of immediately useful computational skills that can be applied to problems they encounter in future pursuits. The book takes an “object-use-first” approach–writing classes is covered only after students have mastered using objects. This edition is available with MyProgrammingLab, an innovative online homework and assessment tool. Through the power of practice and immediate personalized feedback, MyProgrammingLab helps students fully grasp the logic, semantics, and syntax of programming. Note: If you are purchasing the standalone text or electronic version, MyProgrammingLab does not come automatically packaged with the text. To purchase MyProgrammingLab, please visit: myprogramminglab.com or you can purchase a package of the physical text + MyProgrammingLab by searching for ISBN 10: 0132992833 / ISBN 13: 9780132992831.MyProgrammingLab is not a self-paced technology and should only be purchased when required by an instructor
Category: Computers

The Practice Of Computing Using Python With Access Code

Author : William F. Punch
ISBN : 0132992833
Genre : Computers
File Size : 62.65 MB
Format : PDF, Docs
Download : 928
Read : 190

NOTE: Before purchasing, check with your instructor to ensure you select the correct ISBN. Several versions of Pearson's MyLab & Mastering products exist for each title, and registrations are not transferable. To register for and use Pearson's MyLab & Mastering products, you may also need a Course ID, which your instructor will provide. Used books, rentals, and purchases made outside of Pearson If purchasing or renting from companies other than Pearson, the access codes for Pearson's MyLab & Mastering products may not be included, may be incorrect, or may be previously redeemed. Check with the seller before completing your purchase. A problem-solving approach to programming with Python. The Practice of Computing Using Python introduces CS1 students (majors and non-majors) to computational thinking using Python. With data-manipulation as a theme, readers quickly see the value in what they're learning and leave the course with a set of immediately useful computational skills that can be applied to problems they encounter in future pursuits. The book takes an "object-use-first" approach--writing classes is covered only after students have mastered using objects. 0132992833/9780132992831 Practice of Computing Using Python plus MyProgrammingLab with Pearson eText -- Access Card Package, The, 2/e Package consists of: 013280557X/ 9780132805575 Practice of Computing Using Python, The, 2/e 0132831325/ 9780132831321 MyProgrammingLab with Pearson eText -- Access Card -- for Practice of Computing using Python, 2/e
Category: Computers

Practice Of Computing Using Python The Student Value Edition

Author : William F. Punch
ISBN : 0134380312
Genre : Computers
File Size : 23.98 MB
Format : PDF, ePub
Download : 361
Read : 642

NOTE: Before purchasing, check with your instructor to ensure you select the correct ISBN. Several versions of Pearson's MyLab & Mastering products exist for each title, and registrations are not transferable. To register for and use Pearson's MyLab & Mastering products, you may also need a Course ID, which your instructor will provide. Used books, rentals, and purchases made outside of Pearson If purchasing or renting from companies other than Pearson, the access codes for Pearson's MyLab & Mastering products may not be included, may be incorrect, or may be previously redeemed. Check with the seller before completing your purchase. "For courses in Python Programming" "This package includes MyProgrammingLab " Introduces Python programming with an emphasis on problem-solving Now in its Third Edition, "Practice of Computing Using Python" continues to effectively introduce readers to computational thinking using Python, with a strong emphasis on problem solving through computer science. The authors have chosen Python for its simplicity, powerful built-in data structures, advanced control constructs, and practicality. The text is built from the ground up for Python programming, rather than having been translated from Java or C++. Focusing on data manipulation and analysis as a theme, the text allows readers to work on real problems using Internet-sourced or self-generated data sets that represent their own work and interests. The authors also emphasize program development and provide readers of all backgrounds with a practical foundation in programming that suit their needs. Among other changes, the Third Edition incorporates a switch to the Anaconda distribution, the SPYDER IDE, and a focus on debugging and GUIs. 0134520513 / 9780134520513" " "The" " Practice of Computing Using Python plus MyProgrammingLab with Pearson eText -- Access Card Package, 3/e " Package consists of: 0134381327 / 9780134381329 " MyProgrammingLab with Pearson eText -- Access Card Package " 0134379764 / 9780134379760 " The Practice of Computing Using Python, 3/e " "
Category: Computers

Multiscale Modeling Of Deep Water Channel Deposits

Author :
ISBN : STANFORD:ns884fs4450
Genre :
File Size : 69.49 MB
Format : PDF, Docs
Download : 763
Read : 1127

Sedimentological models capture the processes and subsequent deposits that explain the distribution of facies within a depositional system. The first sedimentological models for deep-water depositional systems were portrayed as idealized shelf break to slope submarine basin sediment dispersal systems. These models were developed from ancient outcrop exposures (Mutti and Lucchi, 1972) and from the modern day seafloor (Normark, 1970, 1978). More recent model development has been based largely on observations from modern slope channels including the Amazon Channel (Pirmez and Imran; 2003), offshore West African (Abreu et al., 2003; Deptuck et al., 2003), and attempts at generalization from multiple studies (Mayall et al., 2006), as well as ancient outcrop studies (e.g., Brushy Canyon; Gardner et al., 2003). Concepts from these sedimentological models have been the principle foundation for development of quantitative geostatistical models. A geostatistical model adapts the conceptualization of facies distribution from the sedimentological model. This information is then coded into a three-dimensional, gridded computer model directly constrained to available data (i.e., wireline logs, core data, and seismic attributes). Geostatistical models developed for deep-water depositional systems have primarily focused on either sinuous channels confined by levees or erosional surfaces (e.g., Larue and Hovadik, 2006; Labourdette et al., 2007; Pyrcz et al., 2008; McHargue et al., 2010; Sylvester et al., 2010) or basin-floor or overbank lobes associated with loss of confinement from sinuous channels (Pyrcz et al., 2005; Wellner et al., 2006; Zhang et al., 2009). Although widely used, such geostatistical models have limited applicability in fitting all deep-water depositional systems, and cases exists that require modification of such models or creation of entirely new models. In this dissertation I show the importance of synthesizing sedimentological and geostatistical models based on observations from the data. The primary objectives of this dissertation are 1) to present methodologies to enable the creation of better sedimentological models from remote sensing data, and 2) to present a means to model depositional architectures for a system that cannot currently be captured with standard geostatistical modeling approaches. The main contributions are threefold. The first contribution, presented in Chapter 1, is a methodology designed to extract subseismic, lithologic information from inverted pre-stack seismic reflectivities. Also, in Chapter 1, the predictive power of this methodology is demonstrated on a dataset from the subsurface of the Molasse Basin in Upper Austria. Beyond this dissertation, Bernhardt et al. (in review) adopted the methodology to support the development of a more predictive sedimentological model for the same dataset. The second contribution, presented in Chapter 2, is a new approach for building predictive quantitative spatial models for a deep-water channel belt, in which sand deposition is controlled by mass-transport-deposit-topography. This methodology leverages sedimentological interpretations derived from subseismic, lithologic information as presented in Chapter 1 and the sedimentological work of Bernhardt et al. (in review). The final contribution of this dissertation is presented in two outcrop studies. Chapters 3 and 4 utilize extensive data collected from deep-water channel outcrops to build digital outcrop models. The model from Chapter 3 is used to demonstrate the predictive power of pre-stack seismic-reflectivity data in interpreting the large-scale architecture of a heterolithic deep-water channel system exposed in the sea cliffs along Blacks Beach near La Jolla, California. Finally, the outcrop modeling study presented in Chapter 4 presents a methodology to capture structural and stratigraphic uncertainty in outcrop observations in order to analyze the three-dimensional channel morphology of the Cerro
Category:

Targeted Cyber Attacks

Author : Aditya Sood
ISBN : 9780128006191
Genre : Computers
File Size : 22.47 MB
Format : PDF, Mobi
Download : 854
Read : 708

Cyber-crime increasingly impacts both the online and offline world, and targeted attacks play a significant role in disrupting services in both. Targeted attacks are those that are aimed at a particular individual, group, or type of site or service. Unlike worms and viruses that usually attack indiscriminately, targeted attacks involve intelligence-gathering and planning to a degree that drastically changes its profile. Individuals, corporations, and even governments are facing new threats from targeted attacks. Targeted Cyber Attacks examines real-world examples of directed attacks and provides insight into what techniques and resources are used to stage these attacks so that you can counter them more effectively. A well-structured introduction into the world of targeted cyber-attacks Includes analysis of real-world attacks Written by cyber-security researchers and experts
Category: Computers

The Practice Of Reproducible Research

Author : Justin Kitzes
ISBN : 9780520967779
Genre : Science
File Size : 38.22 MB
Format : PDF, Mobi
Download : 835
Read : 1157

The Practice of Reproducible Research presents concrete examples of how researchers in the data-intensive sciences are working to improve the reproducibility of their research projects. In each of the thirty-one case studies in this volume, the author or team describes the workflow that they used to complete a real-world research project. Authors highlight how they utilized particular tools, ideas, and practices to support reproducibility, emphasizing the very practical how, rather than the why or what, of conducting reproducible research. Part 1 provides an accessible introduction to reproducible research, a basic reproducible research project template, and a synthesis of lessons learned from across the thirty-one case studies. Parts 2 and 3 focus on the case studies themselves. The Practice of Reproducible Research is an invaluable resource for students and researchers who wish to better understand the practice of data-intensive sciences and learn how to make their own research more reproducible.
Category: Science

Introduction To Computing Using Python An Application Development Focus 2nd Edition

Author : Ljubomir Perkovic
ISBN : 9781118890875
Genre : Computers
File Size : 78.97 MB
Format : PDF
Download : 592
Read : 885

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.
Category: Computers

Introduction To Computing Using Python

Author : Thomas Hawk
ISBN : 1724946005
Genre :
File Size : 75.98 MB
Format : PDF, Kindle
Download : 417
Read : 810

Introduction to Computing Using Python 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. An additional chapter of Case Studies is exclusive to the Wiley E-Text, providing students with real life applications using the concepts and tools covered in the chapters.
Category: