Gnuplot In Action
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Gnuplot In Action
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Author : Philipp K. Janert
language : en
Publisher: Simon and Schuster
Release Date : 2016-03-08
Gnuplot In Action written by Philipp K. Janert and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-03-08 with Computers categories.
Summary Gnuplot in Action, Second Edition is a major revision of this popular and authoritative guide for developers, engineers, and scientists who want to learn and use gnuplot effectively. Fully updated for gnuplot version 5, the book includes four pages of color illustrations and four bonus appendixes available in the eBook. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Gnuplot is an open-source graphics program that helps you analyze, interpret, and present numerical data. Available for Unix, Mac, and Windows, it is well-maintained, mature, and totally free. About the Book Gnuplot in Action, Second Edition is a major revision of this authoritative guide for developers, engineers, and scientists. The book starts with a tutorial introduction, followed by a systematic overview of gnuplot's core features and full coverage of gnuplot's advanced capabilities. Experienced readers will appreciate the discussion of gnuplot 5's features, including new plot types, improved text and color handling, and support for interactive, web-based display formats. The book concludes with chapters on graphical effects and general techniques for understanding data with graphs. It includes four pages of color illustrations. 3D graphics, false-color plots, heatmaps, and multivariate visualizations are covered in chapter-length appendixes available in the eBook. What's Inside Creating different types of graphs in detail Animations, scripting, batch operations Extensive discussion of terminals Updated to cover gnuplot version 5 About the Reader No prior experience with gnuplot is required. This book concentrates on practical applications of gnuplot relevant to users of all levels. About the Author Philipp K. Janert, PhD, is a programmer and scientist. He is the author of several books on data analysis and applied math and has been a gnuplot power user and developer for over 20 years. Table of Contents PART 1 GETTING STARTED Prelude: understanding data with gnuplot Tutorial: essential gnuplot The heart of the matter: the plot command PART 2 CREATING GRAPHS Managing data sets and files Practical matters: strings, loops, and history A catalog of styles Decorations: labels, arrows, and explanations All about axes PART 3 MASTERING TECHNICALITIES Color, style, and appearance Terminals and output formats Automation, scripting, and animation Beyond the defaults: workflow and styles PART 4 UNDERSTANDING DATA Basic techniques of graphical analysis Topics in graphical analysis Coda: understanding data with graphs
Logs And Telemetry
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Author : Phil Wilkins
language : en
Publisher: Simon and Schuster
Release Date : 2025-01-07
Logs And Telemetry written by Phil Wilkins and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-07 with Computers categories.
Build cloud native observability pipelines with minimal footprints and high-performance throughput—all with Fluent Bit, Kubernetes, and your favorite visualization and analytics tools. Logs and Telemetry is an all-practical guide to monitoring both cloud-native and traditional environments with the Fluent Bit observability tool. It takes you from the basics of collecting app logs, all the way to filtering, routing, enriching and transforming logs, metrics, and traces. Inside Logs and Telemetry you’ll learn how to: • Deploy Fluent Bit for telemetry (log, metric, and trace) collection • Configure pipelines to filter, route, and transform data • Integrate Fluent Bit with containers and Kubernetes • Configure Fluent Bit to work with OpenTelemetry, Prometheus, and other open source tech • Monitor applications at scale with minimal footprint • Address challenges in Kubernetes-based ecosystems using Fluent Bit • Utilize Fluent Bit for real-time event analytics to derive new metrics and insights • Develop custom filters, inputs, and outputs for unique or reusable use cases Logs and Telemetry draws on both the input and support of key committers and founders of Fluent Bit, and author Phil Wilkins’ years of experience in DevOps. Inside, you’ll see how you can integrate Fluent Bit with Prometheus, OpenTelemetry, FluentD deployments, and more. Learn how Fluent Bit can not only meet all the demands of cloud-native use cases, but also more traditional deployments as well. About the technology Fluent Bit is a super-fast lightweight observability tool that’s perfect for Kubernetes and containers, as well as traditional IT environments. Fluent Bit makes it a snap to extract meaning from the logs, traces, and other performance metrics generated by your applications and infrastructure. It’s also a great way to route telemetry to analysis tools like Prometheus and Grafana. About the book Logs and Telemetry shows you how to turn systems data into actionable insights using Fluent Bit. You’ll start by learning the pre-built plugins for common use cases and progress to integration with powerful tools like OpenTelemetry and real-time analytical event processing. You’ll use plugins to configure routing, filtering and processing, automate your observability with Lua scripts, and configure Fluent Bit to meet the demands of highly scalable environments. What's inside • Deploy Fluent Bit for telemetry collection • Configure pipelines to filter, route, and transform data • Integrate Fluent Bit with containers and Kubernetes • Monitor applications at scale About the reader For developers, DevOps engineers, and SREs working with observability. About the author Phil Wilkins has spent over 25 years in the software industry from multinationals to software startups. He is the author of Logging in Action. The technical editor on this book was Karthik Gaekwad. Table of Contents Part 1 1 Introduction to Fluent Bit 2 From zero to “Hello, World” Part 2 3 Capturing inputs 4 Getting inputs from containers and Kubernetes 5 Outputting events 6 Parsing to extract more meaning 7 Filtering and transforming events Part 3 8 Stream processors for time series calculations and filtering 9 Building processors and Fluent Bit extension options 10 Building plugins 11 Putting Fluent Bit into action: An enterprise use case Appendix A Installations Appendix B Useful resources Appendix C Comparing Fluent Bit and Fluentd
C Programming And Numerical Analysis
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Author : Seiichi Nomura
language : en
Publisher: Springer Nature
Release Date : 2022-05-31
C Programming And Numerical Analysis written by Seiichi Nomura and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-31 with Technology & Engineering categories.
This book is aimed at those in engineering/scientific fields who have never learned programming before but are eager to master the C language quickly so as to immediately apply it to problem solving in numerical analysis. The book skips unnecessary formality but explains all the important aspects of C essential for numerical analysis. Topics covered in numerical analysis include single and simultaneous equations, differential equations, numerical integration, and simulations by random numbers. In the Appendices, quick tutorials for gnuplot, Octave/MATLAB, and FORTRAN for C users are provided.
Data Simplification
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Author : Jules J. Berman
language : en
Publisher: Morgan Kaufmann
Release Date : 2016-03-10
Data Simplification written by Jules J. Berman and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-03-10 with Computers categories.
Data Simplification: Taming Information With Open Source Tools addresses the simple fact that modern data is too big and complex to analyze in its native form. Data simplification is the process whereby large and complex data is rendered usable. Complex data must be simplified before it can be analyzed, but the process of data simplification is anything but simple, requiring a specialized set of skills and tools. This book provides data scientists from every scientific discipline with the methods and tools to simplify their data for immediate analysis or long-term storage in a form that can be readily repurposed or integrated with other data. Drawing upon years of practical experience, and using numerous examples and use cases, Jules Berman discusses the principles, methods, and tools that must be studied and mastered to achieve data simplification, open source tools, free utilities and snippets of code that can be reused and repurposed to simplify data, natural language processing and machine translation as a tool to simplify data, and data summarization and visualization and the role they play in making data useful for the end user. - Discusses data simplification principles, methods, and tools that must be studied and mastered - Provides open source tools, free utilities, and snippets of code that can be reused and repurposed to simplify data - Explains how to best utilize indexes to search, retrieve, and analyze textual data - Shows the data scientist how to apply ontologies, classifications, classes, properties, and instances to data using tried and true methods
Computational Physics A Practical Introduction To Computational Physics And Scientific Computing Using C Vol Ii
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Author : Konstantinos Anagnostopoulos
language : en
Publisher: Lulu.com
Release Date : 2016-12-06
Computational Physics A Practical Introduction To Computational Physics And Scientific Computing Using C Vol Ii written by Konstantinos Anagnostopoulos and has been published by Lulu.com this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-12-06 with Science categories.
This book is an introduction to the computational methods used in physics, but also in other scientific fields. It is addressed to an audience that has already been exposed to the introductory level of college physics, usually taught during the first two years of an undergraduate program in science and engineering. It assumes no prior knowledge of numerical analysis, programming or computers and teaches whatever is necessary for the solution of the problems addressed in the text. It can be used as a textbook in introductory computational physics or scientific computing classes. The book starts with very simple problems in particle motion and ends with an in-depth discussion of advanced techniques used in Monte Carlo simulations in statistical mechanics. The level of instruction rises slowly, while discussing problems like the diffusion equation, electrostatics on the plane, quantum mechanics and random walks. All the material can be taught in two semesters, but a selection of topics can form the material of a one semester course. The book aims to provide the students with the background and the experience needed in order to advance to high performance computing projects in science and engineering. It puts emphasis on hands--on programming of numerical code but also on the production, analysis and interpretation of data. But it also tries to keep the students motivated by considering interesting applications in physics, like chaos, quantum mechanics, special relativity and the physics of phase transitions. There is a C++ and a Fortran edition for the core programming. Data analysis is performed using the powerful tools of the GNU/Linux environment. All the necessary software is open source and freely available. The book and the accompanying software are given under a Creative Commons License/GNU public License as a service to the community. It can be used freely as a whole, or any part of it, in any form, by anyone. There is no official distribution of hard copies, but you can use the printing service of your preference in order produce any number of copies you need for you and/or your students. For the lazy ones, a very nice and cheap paperback can be purchaced from lulu.com, amazon.com and conventional bookstores. The ebook can be read in most electronic devices like your PC, tablet or favorite ebook reader and it is freely available from the book's website.
Introduction To Scientific And Technical Computing
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Author : Frank T. Willmore
language : en
Publisher: CRC Press
Release Date : 2016-08-19
Introduction To Scientific And Technical Computing written by Frank T. Willmore and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-08-19 with Computers categories.
Created to help scientists and engineers write computer code, this practical book addresses the important tools and techniques that are necessary for scientific computing, but which are not yet commonplace in science and engineering curricula. This book contains chapters summarizing the most important topics that computational researchers need to know about. It leverages the viewpoints of passionate experts involved with scientific computing courses around the globe and aims to be a starting point for new computational scientists and a reference for the experienced. Each contributed chapter focuses on a specific tool or skill, providing the content needed to provide a working knowledge of the topic in about one day. While many individual books on specific computing topics exist, none is explicitly focused on getting technical professionals and students up and running immediately across a variety of computational areas.
Data Science At The Command Line
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Author : Jeroen Janssens
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2014-09-25
Data Science At The Command Line written by Jeroen Janssens and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-09-25 with Computers categories.
This hands-on guide demonstrates how the flexibility of the command line can help you become a more efficient and productive data scientist. You’ll learn how to combine small, yet powerful, command-line tools to quickly obtain, scrub, explore, and model your data. To get you started—whether you’re on Windows, OS X, or Linux—author Jeroen Janssens introduces the Data Science Toolbox, an easy-to-install virtual environment packed with over 80 command-line tools. Discover why the command line is an agile, scalable, and extensible technology. Even if you’re already comfortable processing data with, say, Python or R, you’ll greatly improve your data science workflow by also leveraging the power of the command line. Obtain data from websites, APIs, databases, and spreadsheets Perform scrub operations on plain text, CSV, HTML/XML, and JSON Explore data, compute descriptive statistics, and create visualizations Manage your data science workflow using Drake Create reusable tools from one-liners and existing Python or R code Parallelize and distribute data-intensive pipelines using GNU Parallel Model data with dimensionality reduction, clustering, regression, and classification algorithms
Data Analysis With Open Source Tools
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Author : Philipp K. Janert
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2010-11-11
Data Analysis With Open Source Tools written by Philipp K. Janert and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-11-11 with Computers categories.
Collecting data is relatively easy, but turning raw information into something useful requires that you know how to extract precisely what you need. With this insightful book, intermediate to experienced programmers interested in data analysis will learn techniques for working with data in a business environment. You'll learn how to look at data to discover what it contains, how to capture those ideas in conceptual models, and then feed your understanding back into the organization through business plans, metrics dashboards, and other applications. Along the way, you'll experiment with concepts through hands-on workshops at the end of each chapter. Above all, you'll learn how to think about the results you want to achieve -- rather than rely on tools to think for you. Use graphics to describe data with one, two, or dozens of variables Develop conceptual models using back-of-the-envelope calculations, as well asscaling and probability arguments Mine data with computationally intensive methods such as simulation and clustering Make your conclusions understandable through reports, dashboards, and other metrics programs Understand financial calculations, including the time-value of money Use dimensionality reduction techniques or predictive analytics to conquer challenging data analysis situations Become familiar with different open source programming environments for data analysis "Finally, a concise reference for understanding how to conquer piles of data."--Austin King, Senior Web Developer, Mozilla "An indispensable text for aspiring data scientists."--Michael E. Driscoll, CEO/Founder, Dataspora
Computational Physics A Practical Introduction To Computational Physics And Scientific Computing Using C Vol I
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Author : Konstantinos Anagnostopoulos
language : en
Publisher: Lulu.com
Release Date : 2016-12-06
Computational Physics A Practical Introduction To Computational Physics And Scientific Computing Using C Vol I written by Konstantinos Anagnostopoulos and has been published by Lulu.com this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-12-06 with Science categories.
This book is an introduction to the computational methods used in physics and other related scientific fields. It is addressed to an audience that has already been exposed to the introductory level of college physics, usually taught during the first two years of an undergraduate program in science and engineering. It assumes no prior knowledge of numerical analysis, programming or computers and teaches whatever is necessary for the solution of the problems addressed in the text. C++ is used for programming the core programs and data analysis is performed using the powerful tools of the GNU/Linux environment. All the necessary software is open source and freely available. The book starts with very simple problems in particle motion and ends with an in-depth discussion of advanced techniques used in Monte Carlo simulations in statistical mechanics. The level of instruction rises slowly, while discussing problems like the diffusion equation, electrostatics on the plane, quantum mechanics and random walks.
Computational Physics Vol I
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Author : Konstantinos N. Anagnostopoulos
language : en
Publisher: Konstantinos Anagnostopoulos
Release Date : 2014-07-27
Computational Physics Vol I written by Konstantinos N. Anagnostopoulos and has been published by Konstantinos Anagnostopoulos this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-07-27 with Science categories.
This book is an introduction to the computational methods used in physics and other scientific fields. It is addressed to an audience that has already been exposed to the introductory level of college physics, usually taught during the first two years of an undergraduate program in science and engineering. The book starts with very simple problems in particle motion and ends with an in-depth discussion of advanced techniques used in Monte Carlo simulations in statistical mechanics. The level of instruction rises slowly, while discussing problems like the diffusion equation, electrostatics on the plane, quantum mechanics and random walks. The book aims to provide the students with the background and the experience needed in order to advance to high performance computing projects in science and engineering. But it also tries to keep the students motivated by considering interesting applications in physics, like chaos, quantum mechanics, special relativity and the physics of phase transitions. The book and the accompanying software is available for free in electronic form at http://goo.gl/SGUEkM (www.physics.ntua.gr/%7Ekonstant/ComputationalPhysics) and a printed copy can be purchased from lulu.com at http://goo.gl/Pg1zHc (vol II at http://goo.gl/XsSBdP )