Download or read book Interactive Computing in BASIC written by Peter C. Sanderson and published by Newnes. This book was released on 2014-05-20 with total page 170 pages. Available in PDF, EPUB and Kindle. Book excerpt: Interactive Computing in BASIC: An Introduction to Interactive Computing and a Practical Course in the BASIC Language provides a general introduction to the principles of interactive computing and a comprehensive practical guide to the programming language Beginners All-purpose Symbolic Instruction Code (BASIC). The book starts by providing an introduction to computers and discussing the aspects of terminal usage, programming languages, and the stages in writing and testing a program. The text then discusses BASIC with regard to methods in writing simple arithmetical programs, control statements in the BASIC language, loops and subscripted variables, the RND function and subroutines, and further printing facilities and character manipulation. The matrix instructions and the different versions of BASIC are also considered. The book concludes by describing the transition from BASIC to FORTRAN. Computer programmers, scientists, engineers, statisticians, and other research workers who wish to acquire knowledge of computer programming will find this book invaluable.
Download or read book Interactive Computing in BASIC written by P. C. Sanderson and published by . This book was released on 1973-10-01 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Interactive Computing with BASIC written by Donald M. Monro and published by . This book was released on 1974 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Learning IPython for Interactive Computing and Data Visualization written by Cyrille Rossant and published by Packt Publishing Ltd. This book was released on 2015-10-21 with total page 201 pages. Available in PDF, EPUB and Kindle. Book excerpt: Get started with Python for data analysis and numerical computing in the Jupyter notebook About This Book Learn the basics of Python in the Jupyter Notebook Analyze and visualize data with pandas, NumPy, matplotlib, and seaborn Perform highly-efficient numerical computations with Numba, Cython, and ipyparallel Who This Book Is For This book targets students, teachers, researchers, engineers, analysts, journalists, hobbyists, and all data enthusiasts who are interested in analyzing and visualizing real-world datasets. If you are new to programming and data analysis, this book is exactly for you. If you're already familiar with another language or analysis software, you will also appreciate this introduction to the Python data analysis platform. Finally, there are more technical topics for advanced readers. No prior experience is required; this book contains everything you need to know. What You Will Learn Install Anaconda and code in Python in the Jupyter Notebook Load and explore datasets interactively Perform complex data manipulations effectively with pandas Create engaging data visualizations with matplotlib and seaborn Simulate mathematical models with NumPy Visualize and process images interactively in the Jupyter Notebook with scikit-image Accelerate your code with Numba, Cython, and IPython.parallel Extend the Notebook interface with HTML, JavaScript, and D3 In Detail Python is a user-friendly and powerful programming language. IPython offers a convenient interface to the language and its analysis libraries, while the Jupyter Notebook is a rich environment well-adapted to data science and visualization. Together, these open source tools are widely used by beginners and experts around the world, and in a huge variety of fields and endeavors. This book is a beginner-friendly guide to the Python data analysis platform. After an introduction to the Python language, IPython, and the Jupyter Notebook, you will learn how to analyze and visualize data on real-world examples, how to create graphical user interfaces for image processing in the Notebook, and how to perform fast numerical computations for scientific simulations with NumPy, Numba, Cython, and ipyparallel. By the end of this book, you will be able to perform in-depth analyses of all sorts of data. Style and approach This is a hands-on beginner-friendly guide to analyze and visualize data on real-world examples with Python and the Jupyter Notebook.
Download or read book Learning Basic Genetics with Interactive Computer Programs written by Charles C. Tseng and published by Springer Science & Business Media. This book was released on 2014-07-08 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: Traditionally, genetics laboratory exercises at the university level focus on mono- and dihybrid crosses and phenotypic analysis—exercises under traditional time, materials, and process constraints. Lately, molecular techniques such as gene cloning, polymerase chain reactions (PCR), and bioinformatics are being included in many teaching laboratories—where affordable. Human chromosome analysis, when present at all, has often been restricted to simple identification of chromosomes by number, through the usual “cut-and-paste” method. Although several online karyotyping (chromosome identification) programs have become available, they are not meaningful for studying the dynamics of the chromosome system, nor do they help students understand genetics as a discipline. The software that accompanies this book has been shown to be an ideal tool for learning about genetics, which requires a combination of understanding, conceptualization, and practical experience.
Download or read book Computing Using BASIC written by Tonia Cope and published by . This book was released on 1981 with total page 351 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Introduction to Computation in Physical Sciences written by Jay Wang and published by Springer Nature. This book was released on 2023-01-25 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a practical and comprehensive introduction to computational problem solving from the viewpoints of practitioners in both academic and industrial worlds. The authors present scientific problem-solving using computation and aim to increase computational thinking, which is the mindset and skillset required to solve scientific problems with computational methodologies via model building, simulation, data analysis, and visualization using the Python programming language. Topics and examples span fundamental areas of physical science as well as contemporary topics including quantum computing, neural networks, machine learning, global warming, and energy balance. The book features unique and innovative techniques and practices including: intentional scaffolding to help beginners learn computational problem solving; multimodal computing environments including cloud-based platforms and just-in-time computing; emphasis and connection between both numerical and symbolic computations; and extensive exercise sets carefully designed for further exploration as project assignments or self-paced study. The book is suitable for introductory level readers in physical sciences, engineering, and related STEM disciplines. Specifically, the book is appropriate for use in either a standalone course on computation and modeling and as a resource for readers interested in learning about proven techniques in interactive computing.
Download or read book Interactive Computer Programs for Education written by Jurg Nievergelt and published by Addison Wesley Publishing Company. This book was released on 1986 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book IPython Interactive Computing and Visualization Cookbook written by Cyrille Rossant and published by Packt Publishing Ltd. This book was released on 2014-09-25 with total page 899 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intended to anyone interested in numerical computing and data science: students, researchers, teachers, engineers, analysts, hobbyists... Basic knowledge of Python/NumPy is recommended. Some skills in mathematics will help you understand the theory behind the computational methods.
Download or read book Interactive Computing written by Infotech Information Limited and published by . This book was released on 1972 with total page 576 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book IPython Interactive Computing and Visualization Cookbook written by Cyrille Rossant and published by Packt Publishing Ltd. This book was released on 2018-01-31 with total page 548 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn to use IPython and Jupyter Notebook for your data analysis and visualization work. Key Features Leverage the Jupyter Notebook for interactive data science and visualization Become an expert in high-performance computing and visualization for data analysis and scientific modeling A comprehensive coverage of scientific computing through many hands-on, example-driven recipes with detailed, step-by-step explanations Book Description Python is one of the leading open source platforms for data science and numerical computing. IPython and the associated Jupyter Notebook offer efficient interfaces to Python for data analysis and interactive visualization, and they constitute an ideal gateway to the platform. IPython Interactive Computing and Visualization Cookbook, Second Edition contains many ready-to-use, focused recipes for high-performance scientific computing and data analysis, from the latest IPython/Jupyter features to the most advanced tricks, to help you write better and faster code. You will apply these state-of-the-art methods to various real-world examples, illustrating topics in applied mathematics, scientific modeling, and machine learning. The first part of the book covers programming techniques: code quality and reproducibility, code optimization, high-performance computing through just-in-time compilation, parallel computing, and graphics card programming. The second part tackles data science, statistics, machine learning, signal and image processing, dynamical systems, and pure and applied mathematics. What you will learn Master all features of the Jupyter Notebook Code better: write high-quality, readable, and well-tested programs; profile and optimize your code; and conduct reproducible interactive computing experiments Visualize data and create interactive plots in the Jupyter Notebook Write blazingly fast Python programs with NumPy, ctypes, Numba, Cython, OpenMP, GPU programming (CUDA), parallel IPython, Dask, and more Analyze data with Bayesian or frequentist statistics (Pandas, PyMC, and R), and learn from actual data through machine learning (scikit-learn) Gain valuable insights into signals, images, and sounds with SciPy, scikit-image, and OpenCV Simulate deterministic and stochastic dynamical systems in Python Familiarize yourself with math in Python using SymPy and Sage: algebra, analysis, logic, graphs, geometry, and probability theory Who this book is for This book is intended for anyone interested in numerical computing and data science: students, researchers, teachers, engineers, analysts, and hobbyists. A basic knowledge of Python/NumPy is recommended. Some skills in mathematics will help you understand the theory behind the computational methods.
Download or read book Building Interactive Systems written by Dan R. Olsen and published by Cengage Learning. This book was released on 2010 with total page 645 pages. Available in PDF, EPUB and Kindle. Book excerpt: This innovative text focuses on the architectures, mathematics, and algorithms that are integral to creating reliable user interfaces. The first sixteen chapters cover the concepts required for current graphical user interfaces, including specific emphasis on the Model-View-Controller architecture. The second part of the book provides an overview of key research areas in interactive systems, with a focus on the algorithms required to implement these systems. Using clear descriptions, equations, and pseudocode, this text simplifies and demystifies the development and application of a variety of user interfaces
Download or read book Interactive Computing written by and published by . This book was released on 1980 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Learning Ipython for Interactive Computing and Data Visualization written by Cyrille Rossant and published by . This book was released on 2015-02-24 with total page 138 pages. Available in PDF, EPUB and Kindle. Book excerpt: IPython provides a rich architecture for interactive computing, and as a Python developer you can take advantage of this practical hands-on guide to make yourself an expert. Covers numerical computing, data analysis, and more. Overview A practical step-by-step tutorial which will help you to replace the Python console with the powerful IPython command-line interface Use the IPython notebook to modernize the way you interact with Python Perform highly efficient computations with NumPy and Pandas Optimize your code using parallel computing and Cython In Detail You already use Python as a scripting language, but did you know it is also increasingly used for scientific computing and data analysis? Interactive programming is essential in such exploratory tasks and IPython is the perfect tool for that. Once you've learnt it, you won't be able to live without it. "Learning IPython for Interactive Computing and Data Visualization" is a practical, hands-on, example-driven tutorial to considerably improve your productivity during interactive Python sessions, and shows you how to effectively use IPython for interactive computing and data analysis. This book covers all aspects of IPython, from the highly powerful interactive Python console to the numerical and visualization features that are commonly associated with IPython. You will learn how IPython lets you perform efficient vectorized computations, through examples covering numerical simulations with NumPy, data analysis with Pandas, and visualization with Matplotlib. You will also discover how IPython can be conveniently used to optimize your code using parallel computing and dynamic compilation in C with Cython. "Learning IPython for Interactive Computing and Data Visualization" will allow you to optimize your productivity in interactive Python sessions. What you will learn from this book Debug your code from the IPython console Benchmark and profile your code from IPython Perform efficient vectorized computations with NumPy Analyze data tables with Pandas Create visualizations with Matplotlib Parallelize your code easily with IPython Customize IPython and create your own magic commands Accelerate your Python code using dynamic C compilation with Cython Approach A practical hands-on guide which focuses on interactive programming, numerical computing, and data analysis with IPython. Who this book is written for This book is for Python developers who use Python as a scripting language or for software development, and are interested in learning IPython for increasing their productivity during interactive sessions in the console. Knowledge of Python is required, whereas no knowledge of IPython is necessary.
Download or read book Interactive Computation written by Dina Goldin and published by Springer Science & Business Media. This book was released on 2006-09-09 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt: The interaction paradigm is a new conceptualization of computational phenomena that emphasizes interaction over algorithms, reflecting the shift in technology from main-frame number-crunching to distributed intelligent networks with graphical user interfaces. The book is arranged in four sections: "Introduction", comprising three chapters that explore and summarize the fundamentals of interactive computation; "Theory" with six chapters, each discussing a specific aspect of interaction; "Applications," five chapters showing how this principle is applied in subdisciplines of computer science; and "New Directions," presenting four multidisciplinary applications. The book challenges traditional Turing machine-based answers to fundamental questions of problem solving and the scope of computation.
Download or read book Intelligent and Interactive Computing written by Vincenzo Piuri and published by Springer. This book was released on 2019-05-16 with total page 569 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the latest research on computational approaches to learning. It includes high-quality peer-reviewed papers from the “Intelligent and Interactive Computing Conference (IIC 2018)” organized by the Universiti Teknikal Malaysia, Melaka. It uses empirical studies, theoretical analysis, and comparisons with psychological phenomena to show how learning methods can be employed to solve important application problems. The book also describes ongoing research in various research labs, universities and institutions, which may lead to the development of marketable products.
Download or read book Essentials of Interactive Computer Graphics written by Kelvin Sung and published by CRC Press. This book was released on 2008-11-06 with total page 568 pages. Available in PDF, EPUB and Kindle. Book excerpt: This undergraduate-level computer graphics text provides the reader with conceptual and practical insights into how to approach building a majority of the interactive graphics applications they encounter daily. As each topic is introduced, students are guided in developing a software library that will support fast prototyping of moderately complex
