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Author: Reto Caduff
Publisher: Lars Muller Publishers
ISBN: 9783037785096
Category : Commercial art
Languages : en
Pages : 0
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Book Description
Pushing the boundaries of design, from MacBook to letterpress Dafi Kühne is a Swiss designer who works with analog and digital ways to produce fresh and unique letterpress-printed posters. Using very different kinds of instruments, from a MacBook to a pantograph, for his compositions, he pushes the boundaries of design. Never afraid of getting his hands dirty in his creative workshop, Kühne embraces the labor involved in the entire process of creating a poster from initial idea to finished product. Fusing modern means with the century-old tradition of the letterpress, he forms a new vocabulary on how to communicate through type and form in a truly un-nostalgic way. Never retro, his work is a clever response to the search for new ways of graphic expression: true print.
Author: Reto Caduff
Publisher: Lars Muller Publishers
ISBN: 9783037785096
Category : Commercial art
Languages : en
Pages : 0
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Book Description
Pushing the boundaries of design, from MacBook to letterpress Dafi Kühne is a Swiss designer who works with analog and digital ways to produce fresh and unique letterpress-printed posters. Using very different kinds of instruments, from a MacBook to a pantograph, for his compositions, he pushes the boundaries of design. Never afraid of getting his hands dirty in his creative workshop, Kühne embraces the labor involved in the entire process of creating a poster from initial idea to finished product. Fusing modern means with the century-old tradition of the letterpress, he forms a new vocabulary on how to communicate through type and form in a truly un-nostalgic way. Never retro, his work is a clever response to the search for new ways of graphic expression: true print.
Author: Moises Belchin
Publisher: Apress
ISBN: 1484205561
Category : Computers
Languages : en
Pages : 446
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Book Description
Web Programming with Dart is for programmers who want to master the new Dart programming language from Google, and also web developers who want to understand how Dart can integrate perfectly with HTML5 and CSS3. With this book you will understand the ins and outs of the language, how the tools work, and how to get the most from the core functions and libraries. Web Programming with Dart is a practical, example-led book, with case studies involving developing UI animations for the web, working with web services such as JSON, server side Dart applications, and the new Polymer.dart library for advanced HTML UI web components generation. Take a full tour of Dart's core features and its advanced functionality Learn the tools that come with Dart SDK and the most important libraries. Additionally you will work with the newest Polymer.dart library for web component creation. Develop your own command-line and server side applications and, of course, web applications with Dart.
Author: Andreas François Vermeulen
Publisher: Apress
ISBN: 148423054X
Category : Computers
Languages : en
Pages : 821
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Book Description
Learn how to build a data science technology stack and perform good data science with repeatable methods. You will learn how to turn data lakes into business assets. The data science technology stack demonstrated in Practical Data Science is built from components in general use in the industry. Data scientist Andreas Vermeulen demonstrates in detail how to build and provision a technology stack to yield repeatable results. He shows you how to apply practical methods to extract actionable business knowledge from data lakes consisting of data from a polyglot of data types and dimensions. What You'll Learn Become fluent in the essential concepts and terminology of data science and data engineering Build and use a technology stack that meets industry criteria Master the methods for retrieving actionable business knowledge Coordinate the handling of polyglot data types in a data lake for repeatable results Who This Book Is For Data scientists and data engineers who are required to convert data from a data lake into actionable knowledge for their business, and students who aspire to be data scientists and data engineers
Author: Preston Miller
Publisher: Packt Publishing Ltd
ISBN: 1789342767
Category : Computers
Languages : en
Pages : 471
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Book Description
Design, develop, and deploy innovative forensic solutions using Python Key FeaturesDiscover how to develop Python scripts for effective digital forensic analysisMaster the skills of parsing complex data structures with Python librariesSolve forensic challenges through the development of practical Python scriptsBook Description Digital forensics plays an integral role in solving complex cybercrimes and helping organizations make sense of cybersecurity incidents. This second edition of Learning Python for Forensics illustrates how Python can be used to support these digital investigations and permits the examiner to automate the parsing of forensic artifacts to spend more time examining actionable data. The second edition of Learning Python for Forensics will illustrate how to develop Python scripts using an iterative design. Further, it demonstrates how to leverage the various built-in and community-sourced forensics scripts and libraries available for Python today. This book will help strengthen your analysis skills and efficiency as you creatively solve real-world problems through instruction-based tutorials. By the end of this book, you will build a collection of Python scripts capable of investigating an array of forensic artifacts and master the skills of extracting metadata and parsing complex data structures into actionable reports. Most importantly, you will have developed a foundation upon which to build as you continue to learn Python and enhance your efficacy as an investigator. What you will learnLearn how to develop Python scripts to solve complex forensic problemsBuild scripts using an iterative designDesign code to accommodate present and future hurdlesLeverage built-in and community-sourced librariesUnderstand the best practices in forensic programmingLearn how to transform raw data into customized reports and visualizationsCreate forensic frameworks to automate analysis of multiple forensic artifactsConduct effective and efficient investigations through programmatic processingWho this book is for If you are a forensics student, hobbyist, or professional seeking to increase your understanding in forensics through the use of a programming language, then Learning Python for Forensics is for you. You are not required to have previous experience in programming to learn and master the content within this book. This material, created by forensic professionals, was written with a unique perspective and understanding for examiners who wish to learn programming.
Author: S. Sumathi
Publisher: CRC Press
ISBN: 1000590933
Category : Computers
Languages : en
Pages : 477
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Book Description
This book provides a detailed description of machine learning algorithms in data analytics, data science life cycle, Python for machine learning, linear regression, logistic regression, and so forth. It addresses the concepts of machine learning in a practical sense providing complete code and implementation for real-world examples in electrical, oil and gas, e-commerce, and hi-tech industries. The focus is on Python programming for machine learning and patterns involved in decision science for handling data. Features: Explains the basic concepts of Python and its role in machine learning. Provides comprehensive coverage of feature engineering including real-time case studies. Perceives the structural patterns with reference to data science and statistics and analytics. Includes machine learning-based structured exercises. Appreciates different algorithmic concepts of machine learning including unsupervised, supervised, and reinforcement learning. This book is aimed at researchers, professionals, and graduate students in data science, machine learning, computer science, and electrical and computer engineering.
Author: Irv Kalb
Publisher: No Starch Press
ISBN: 1718502060
Category : Computers
Languages : en
Pages : 417
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Book Description
Power up your Python with object-oriented programming and learn how to write powerful, efficient, and re-usable code. Object-Oriented Python is an intuitive and thorough guide to mastering object-oriented programming from the ground up. You’ll cover the basics of building classes and creating objects, and put theory into practice using the pygame package with clear examples that help visualize the object-oriented style. You’ll explore the key concepts of object-oriented programming — encapsulation, polymorphism, and inheritance — and learn not just how to code with objects, but the absolute best practices for doing so. Finally, you’ll bring it all together by building a complex video game, complete with full animations and sounds. The book covers two fully functional Python code packages that will speed up development of graphical user interface (GUI) programs in Python.
Author: Subrata Saha
Publisher: Cambridge University Press
ISBN: 1009276972
Category : Computers
Languages : en
Pages : 669
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Book Description
A comprehensive textbook that provides a complete view of data structures and algorithms for engineering students using Python.
Author: Christine Garrard
Publisher: Simon and Schuster
ISBN: 163835314X
Category : Computers
Languages : en
Pages : 582
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Book Description
Summary Geoprocessing with Python teaches you how to use the Python programming language, along with free and open source tools, to read, write, and process geospatial data. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology This book is about the science of reading, analyzing, and presenting geospatial data programmatically, using Python. Thanks to dozens of open source Python libraries and tools, you can take on professional geoprocessing tasks without investing in expensive proprietary packages like ArcGIS and MapInfo. The book shows you how. About the Book Geoprocessing with Python teaches you how to access available datasets to make maps or perform your own analyses using free tools like the GDAL, NumPy, and matplotlib Python modules. Through lots of hands-on examples, you’ll master core practices like handling multiple vector file formats, editing geometries, applying spatial and attribute filters, working with projections, and performing basic analyses on vector data. The book also covers how to manipulate, resample, and analyze raster data, such as aerial photographs and digital elevation models. What's Inside Geoprocessing from the ground up Read, write, process, and analyze raster data Visualize data with matplotlib Write custom geoprocessing tools Three additional appendixes available online About the Reader To read this book all you need is a basic knowledge of Python or a similar programming language. About the Author Chris Garrard works as a developer for Utah State University and teaches a graduate course on Python programming for GIS. Table of Contents Introduction Python basics Reading and writing vector data Working with different vector file formats Filtering data with OGR Manipulating geometries with OGR Vector analysis with OGR Using spatial reference systems Reading and writing raster data Working with raster data Map algebra with NumPy and SciPy Map classification Visualizing data Appendixes A - Installation B - References C - OGR - online only D - OSR - online only E - GDAL - online only
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 1324
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Book Description
Author: Frank T. Willmore
Publisher: CRC Press
ISBN: 1315351854
Category : Computers
Languages : en
Pages : 266
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Book Description
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.
