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Author: Jake VanderPlas Publisher: "O'Reilly Media, Inc." ISBN: 1491912138 Category : Computers Languages : en Pages : 609
Book Description
For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all—IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools. Working scientists and data crunchers familiar with reading and writing Python code will find this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python. With this handbook, you’ll learn how to use: IPython and Jupyter: provide computational environments for data scientists using Python NumPy: includes the ndarray for efficient storage and manipulation of dense data arrays in Python Pandas: features the DataFrame for efficient storage and manipulation of labeled/columnar data in Python Matplotlib: includes capabilities for a flexible range of data visualizations in Python Scikit-Learn: for efficient and clean Python implementations of the most important and established machine learning algorithms
Author: Jake VanderPlas Publisher: "O'Reilly Media, Inc." ISBN: 1491912138 Category : Computers Languages : en Pages : 609
Book Description
For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all—IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools. Working scientists and data crunchers familiar with reading and writing Python code will find this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python. With this handbook, you’ll learn how to use: IPython and Jupyter: provide computational environments for data scientists using Python NumPy: includes the ndarray for efficient storage and manipulation of dense data arrays in Python Pandas: features the DataFrame for efficient storage and manipulation of labeled/columnar data in Python Matplotlib: includes capabilities for a flexible range of data visualizations in Python Scikit-Learn: for efficient and clean Python implementations of the most important and established machine learning algorithms
Author: Linda B. Nilson Publisher: John Wiley & Sons ISBN: 0470612363 Category : Education Languages : en Pages : 401
Book Description
Teaching at Its Best This third edition of the best-selling handbook offers faculty at all levels an essential toolbox of hundreds of practical teaching techniques, formats, classroom activities, and exercises, all of which can be implemented immediately. This thoroughly revised edition includes the newest portrait of the Millennial student; current research from cognitive psychology; a focus on outcomes maps; the latest legal options on copyright issues; and how to best use new technology including wikis, blogs, podcasts, vodcasts, and clickers. Entirely new chapters include subjects such as matching teaching methods with learning outcomes, inquiry-guided learning, and using visuals to teach, and new sections address Felder and Silverman's Index of Learning Styles, SCALE-UP classrooms, multiple true-false test items, and much more. Praise for the Third Edition of Teaching at Its BestEveryone veterans as well as novices will profit from reading Teaching at Its Best, for it provides both theory and practical suggestions for handling all of the problems one encounters in teaching classes varying in size, ability, and motivation." Wilbert McKeachie, Department of Psychology, University of Michigan, and coauthor, McKeachie's Teaching TipsThis new edition of Dr. Nilson's book, with its completely updated material and several new topics, is an even more powerful collection of ideas and tools than the last. What a great resource, especially for beginning teachers but also for us veterans!" L. Dee Fink, author, Creating Significant Learning ExperiencesThis third edition of Teaching at Its Best is successful at weaving the latest research on teaching and learning into what was already a thorough exploration of each topic. New information on how we learn, how students develop, and innovations in instructional strategies complement the solid foundation established in the first two editions." Marilla D. Svinicki, Department of Psychology, The University of Texas, Austin, and coauthor, McKeachie's Teaching Tips
Author: Robert Johansson Publisher: Apress ISBN: 1484242467 Category : Computers Languages : en Pages : 709
Book Description
Leverage the numerical and mathematical modules in Python and its standard library as well as popular open source numerical Python packages like NumPy, SciPy, FiPy, matplotlib and more. This fully revised edition, updated with the latest details of each package and changes to Jupyter projects, demonstrates how to numerically compute solutions and mathematically model applications in big data, cloud computing, financial engineering, business management and more. Numerical Python, Second Edition, presents many brand-new case study examples of applications in data science and statistics using Python, along with extensions to many previous examples. Each of these demonstrates the power of Python for rapid development and exploratory computing due to its simple and high-level syntax and multiple options for data analysis. After reading this book, readers will be familiar with many computing techniques including array-based and symbolic computing, visualization and numerical file I/O, equation solving, optimization, interpolation and integration, and domain-specific computational problems, such as differential equation solving, data analysis, statistical modeling and machine learning. What You'll Learn Work with vectors and matrices using NumPy Plot and visualize data with Matplotlib Perform data analysis tasks with Pandas and SciPy Review statistical modeling and machine learning with statsmodels and scikit-learn Optimize Python code using Numba and Cython Who This Book Is For Developers who want to understand how to use Python and its related ecosystem for numerical computing.
Author: Ramesh Raskar Publisher: A K Peters/CRC Press ISBN: 9781568813134 Category : Computers Languages : en Pages : 0
Book Description
Computational Photography combines plentiful computing, digital sensors, modern optics, actuators, probes, and smart lights to escape the limitations of traditional film cameras and enables novel imaging applications. This book provides a practical guide to topics in image capture and manipulation methods for generating compelling pictures for graphics, special effects, scene comprehension, and art. The computational techniques discussed cover topics in exploiting new ideas in manipulating optics, illumination, and sensors at time of capture. In addition, the authors describe sophisticated reconstruction procedures from direct and indirect pixel measurements that go well beyond the traditional digital darkroom experience.
Author: David duChemin Publisher: New Riders ISBN: 0132733234 Category : Photography Languages : en Pages : 537
Book Description
When looking at a photograph, too often a conversation starts–and, unfortunately, ends–with a statement such as, “I like it.” The logical next question, “Why?”, often goes unasked and unanswered. As photographers, we frequently have difficulty speaking about images because, frankly, we don’t know how to think about them. And if we don’t know how to think about a photograph and its “visual language”– how an image is constructed, how it works, and why it works–then, when we’re behind the camera, are we really making images that best communicate our vision, our original intent? Vision–crucial as it is–is not the ultimate goal of photography; expression is the goal. And to best express ourselves, it is necessary to learn and use the grammar and vocabulary of the visual language. Photographically Speaking is about learning photography’s visual language to better speak to why and how a photograph succeeds, and in turn to consciously use that visual language in the creation of our own photographs, making us stronger photographers who are able to fully express and communicate our vision. By breaking up the visual language into two main components–“elements” make up its vocabulary, and “decisions” are its grammar–David duChemin transforms what has traditionally been esoteric and difficult subject matter into an accessible and practical discussion that photographers can immediately use to improve their craft. Elements are the “words” of the image, what we place within the frame–lines, curves, light, color, contrast. Decisions are the choices we make in assembling those elements to best express and communicate our vision–the use of framing, perspective, point of view, balance, focus, exposure. All content within the frame has meaning, and duChemin establishes that photographers must consciously and deliberately choose the elements that go within their frame and make the decisions about how that frame is constructed and presented. In the second half of the book, duChemin applies this methodology to his own craft, as he explores the visual language in 20 of his own images, discussing how the intentional choices of elements and decisions that went into their creation contribute to their success.
Author: David D. Busch Publisher: John Wiley & Sons ISBN: 0470556935 Category : Photography Languages : en Pages : 471
Book Description
The ideal guide for beginning DSLR camera users, with full-color examples of what you can achieve Make the most of your Canon, Nikon, Sony, Pentax, or Olympus digital SLR camera! This guide explains the different lenses, the many settings and how to use them, the results you can get from using different controls, how to use lighting and exposure, and much more. If you haven't purchased your camera yet, you'll also find tips on choosing a camera and accessories. And you'll find out how to make your pictures even better with Photoshop. Updated for all the newest camera models Introduces you to all the features common to DSLR cameras Illustrated with more than 300 full-color photos and screen shots Shares tips on composition, lighting and exposure controls, and file formats Explains Adobe Photoshop and how to create fine prints from your photos Offers advice on improving your photos and where to find help If you're new to digital SLR photography, here's just what you need to have fun and success with your camera!
Author: Pat Pease Publisher: C&T Publishing ISBN: 9781617450655 Category : Crafts & Hobbies Languages : en Pages : 0
Book Description
Embark on a creative journey to design the kind of quilts you've always wanted to make! Proving that two minds are better than one, experienced quilters Wendy Hill and Pat Pease take on 7 quilt challenges, including designing a new twist on an old block and quilting with unconventional materials. Sew alongside them as you learn new tools, tricks, and techniques, including quilting-as-you-sew that is sure to impress.
Author: David Salomon Publisher: Springer Science & Business Media ISBN: 0857298860 Category : Computers Languages : en Pages : 1559
Book Description
This book presents a broad overview of computer graphics (CG), its history, and the hardware tools it employs. Covering a substantial number of concepts and algorithms, the text describes the techniques, approaches, and algorithms at the core of this field. Emphasis is placed on practical design and implementation, highlighting how graphics software works, and explaining how current CG can generate and display realistic-looking objects. The mathematics is non-rigorous, with the necessary mathematical background introduced in the Appendixes. Features: includes numerous figures, examples and solved exercises; discusses the key 2D and 3D transformations, and the main types of projections; presents an extensive selection of methods, algorithms, and techniques; examines advanced techniques in CG, including the nature and properties of light and color, graphics standards and file formats, and fractals; explores the principles of image compression; describes the important input/output graphics devices.
Author: Yucheng Dong Publisher: Springer Nature ISBN: 3030530361 Category : Technology & Engineering Languages : en Pages : 350
Book Description
This book brings together past experience, current work and promising future trends associated with distributed computing, artificial intelligence and their application in order to provide efficient solutions to real problems. DCAI 2020 is a forum to present applications of innovative techniques for studying and solving complex problems in artificial intelligence and computing areas. This year’s technical program will present both high quality and diversity, with contributions in well-established and evolving areas of research. Specifically, 83 papers were submitted to main track and special sessions, by authors from 26 different countries representing a truly “wide area network” of research activity. The DCAI’20 technical program has selected 35 papers and, as in past editions, it will be special issues in ranked journals. This symposium is organized by the University of L'Aquila (Italy). We would like to thank all the contributing authors, the members of the Program Committee and the sponsors (IBM, Armundia Group, EurAI, AEPIA, APPIA, CINI, OIT, UGR, HU, SCU, USAL, AIR Institute and UNIVAQ).
Author: Jake VanderPlas
Author: Jake VanderPlas
Author: Linda B. Nilson
Author: Modern Quilt Guild
Author: Robert Johansson
Author: Ramesh Raskar
Author: David duChemin
Author: David D. Busch
Author: Pat Pease
Author: David Salomon
Author: Yucheng Dong