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Python for Natural Language Processing - Pierre M. Nugues

Since the last edition of this book (2014), progress has been astonishing in all areas of Natural Language Processing, with recent achievements in Text Generation that spurred a media interest going beyond the traditional academic circles.

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Deep Learning for Natural Language Processing - Stephan Raaijmakers

Humans do a great job of reading text, identifying key ideas, summarizing, making connections, and other tasks that require comprehension and context. Recent advances in deep learning make it possible for computer systems to achieve similar results. Deep Learning for Natural Language Processing teaches you to apply deep learning methods to natural language processing (NLP) to interpret and use text effectively. In this insightful book, (NLP) expert Stephan Raaijmakers distills his extensive knowledge of the latest state-of-the-art developments in this rapidly emerging field. Key features An overview of NLP and deep learning • Models for textual similarity • Deep memory-based NLP • Semantic role labeling • Sequential NLP Audience For those with intermediate Python skills and general knowledge of NLP. No hands-on experience with Keras or deep learning toolkits is required. About the technology Natural language processing is the science of teaching computers to interpret and process human language. Recently, NLP technology has leapfrogged to exciting new levels with the application of deep learning, a form of neural network-based machine learning Stephan Raaijmakers is a senior scientist at TNO and holds a PhD in machine learning and text analytics. He’s the technical coordinator of two large European Union-funded research security-related ... Unknown localization key: "more"

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Natural Language Processing with Python - Steven Bird

Offers an introduction to Natural Language Processing, the field that underpins a variety of language technologies, ranging from predictive text and email filtering to automatic summarization and translation. This book helps you learn how to write Python programs to work with large collections of unstructured text.

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Getting Started with Natural Language Processing

Getting Started with Natural Language Processing is a hands-on guide filled with everything you need to get started with NLP in a friendly, understandable tutorial. Full of Python code and hands-on projects, each chapter provides a concrete example with practical techniques that you can put into practice right away. By following the numerous Python-based examples and real-world case studies, you’ll apply NLP to search applications, extracting meaning from text, sentiment analysis, user profiling, and more. When you’re done, you’ll have a solid grounding in NLP that will serve as a foundation for further learning. Key Features · Extracting information from raw text · Named entity recognition · Automating summarization of key facts · Topic labeling For beginners to NLP with basic Python skills. About the technology Natural Language Processing is a set of data science techniques that enable machines to make sense of human text and speech. Advances in machine learning and deep learning have made NLP more efficient and reliable than ever, leading to a huge number of new tools and resources. From improving search applications to sentiment analysis, the possible applications of NLP are vast and growing. Ekaterina Kochmar is an Affiliated Lecturer and a Senior Research Associate ... Unknown localization key: "more"

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Handbook of Natural Language Processing

The Handbook of Natural Language Processing, Second Edition presents practical tools and techniques for implementing natural language processing in computer systems. Along with removing outdated material, this edition updates every chapter and expands the content to include emerging areas, such as sentiment analysis.New to the Second EditionGreater prominence of statistical approachesNew applications sectionBroader multilingual scope to include Asian and European languages, along with EnglishAn actively maintained wiki (http://handbookofnlp.cse.unsw.edu.au) that provides online resources, supplementary information, and up-to-date developmentsDivided into three sections, the book first surveys classical techniques, including both symbolic and empirical approaches. The second section focuses on statistical approaches in natural language processing. In the final section of the book, each chapter describes a particular class of application, from Chinese machine translation to information visualization to ontology construction to biomedical text mining. Fully updated with the latest developments in the field, this comprehensive, modern handbook emphasizes how to implement practical language processing tools in computational systems.

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Natural Language Processing in Action - Hannes Hapke, Lane Hobson, Howard Cole

Description Modern NLP techniques based on machine learning radically improve the ability of software to recognize patterns, use context to infer meaning, and accurately discern intent from poorly-structured text. In Natural Language Processing in Action, readers explore carefully chosen examples and expand their machine''s knowledge which they can then apply to a range of challenges. Key Features • Easy-to-follow • Clear examples • Hands-on-guide Audience A basic understanding of machine learning and some experience with a modern programming language such as Python, Java, C++, or JavaScript will be helpful. About the technology Natural Language Processing (NLP) is the discipline of teaching computers to read more like people, and readers can see examples of it in everything from chatbots to the speech-recognition software on their phone. Hobson Lane has more than 15 years of experience building autonomous systems that make important decisions on behalf of humans. Hannes Hapke is an Electrical Engineer turned Data Scientist with experience in deep learning. Cole Howard is a carpenter and writer turned Deep Learning expert.

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AI for Small Business - Phil Pallen

An essential guide for small business owners and entrepreneurs looking to use artificial intelligence to automate tasks, improve customer service, make better decisions, grow their businesses faster, and stay ahead of the AI curve. ChatGPT, machine learning, automation, natural language processing. Every day, it seems like there is a new AI term to learn and a new promise of how it will improve your work.But with tons of conflicting information, small business owners are left wondering exactly how to leverage AI technology to grow and, more importantly, stay competitive with larger companies. Cutting through the buzzwords and media frenzy, AI for Small Business is the road map to take you from overwhelmed to empowered. Opening with simple explanations of AI basics and clarification of myths, you are empowered to assess your goals to create a comprehensive AI strategy for your business—including information on selecting tools, a timeline for implementation, and ideas for scaling systems.This essential guide then walks you through practical AI applications for each department, informing you how to use AI to automate tasks, make better decisions, and grow your business in all areas including: -Sales -Marketing -Social media and content creation -Customer service -Finance and accounting -Operations and ... Unknown localization key: "more"

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Machine Learning for Text - Charu C. Aggarwal

This second edition textbook covers a coherently organized framework for text analytics, which integrates material drawn from the intersecting topics of information retrieval, machine learning, and natural language processing. Particular importance is placed on deep learning methods. The chapters of this book span three broad categories:1. Basic algorithms: Chapters 1 through 7 discuss the classical algorithms for text analytics such as preprocessing, similarity computation, topic modeling, matrix factorization, clustering, classification, regression, and ensemble analysis. 2. Domain-sensitive learning and information retrieval: Chapters 8 and 9 discuss learning models in heterogeneous settings such as a combination of text with multimedia or Web links. The problem of information retrieval and Web search is also discussed in the context of its relationship with ranking and machine learning methods. 3. Natural language processing: Chapters 10 through 16 discuss various sequence-centric and natural language applications, such as feature engineering, neural language models, deep learning, transformers, pre-trained language models, text summarization, information extraction, knowledge graphs, question answering, opinion mining, text segmentation, and event detection. Compared to the first edition, this second edition textbook (which targets mostly advanced level students majoring in computer science and math) has substantially more material on deep learning and natural language processing. Significant ... Unknown localization key: "more"

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Deep Learning for Cognitive Computing Systems

Cognitive computing simulates human thought processes with self-learning algorithms that utilize data mining, pattern recognition, and natural language processing. The integration of deep learning improves the performance of Cognitive computing systems in many applications, helping in utilizing heterogeneous data sets and generating meaningful insights.

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Gestalt Language Processing - Alison Battye

This book invites the reader to explore Natural Language Acquisition for Gestalt Language Processors. It clearly sets out the stages of Gestalt Language Processing and the steps in therapy to effectively help neurodivergent children and young people to move on with their language development, supporting them to become independent and creative language users. A wealth of real-life examples and in-depth case studies brings theory to life and allows practitioners to apply the principles to the children they know. Chapters include: • A detailed description of each stage of Natural Language Acquisition and a summary of the research background. • Clear and comprehensive guides to scoring language samples and tracking progress. • AAC (Augmentative and Alternative Communication) options and supports for developing literacy. • Consideration of regulation and movement supports. • Handouts for use in practice, with extra content available online. Gestalt Language Processing is an invaluable resource for any Speech and Language Therapist, parent or teacher who is looking to further their knowledge and transform the language support they offer to autistic and neurodivergent children.

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Fast Python for Data Science - Tiago Antao

Fast Python for Data Science is a hands-on guide to writing Python code that can process more data, faster, and with less resources. It takes a holistic approach to Python performance, showing you how your code, libraries, and computing architecture interact and can be optimized together. Written for experienced practitioners, Fast Python for Data Science dives right into practical solutions for improving computation and storage efficiency. You''ll experiment with fun and interesting examples such as rewriting games in lower-level Cython and implementing a MapReduce framework from scratch. Finally, you''ll go deep into Python GPU computing and learn how modern hardware has rehabilitated some former antipatterns and made counterintuitive ideas the most efficient way of working. About the technologyFast, accurate systems are vital for handling the huge datasets and complex analytical algorithms that are common in modern data science. Python programmers need to boost performance by writing faster pure-Python programs, optimizing the use of libraries, and utilizing modern multi-processor hardware; Fast Python for Data Science shows you how.

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Python for Scientific Computing and Artificial Intelligence - Stephen Lynch

Python for Scientific Computing and Artificial Intelligence is split into 3 parts: in Section 1, the reader is introduced to the Python programming language and shown how Python can aid in the understanding of advanced High School Mathematics. In Section 2, the reader is shown how Python can be used to solve real-world problems from a broad range of scientific disciplines. Finally, in Section 3, the reader is introduced to neural networks and shown how TensorFlow (written in Python) can be used to solve a large array of problems in Artificial Intelligence (AI).This book was developed from a series of national and international workshops that the author has been delivering for over twenty years. The book is beginner friendly and has a strong practical emphasis on programming and computational modelling.Features:No prior experience of programming is requiredOnline GitHub repository available with codes for readers to practiceCovers applications and examples from biology, chemistry, computer science, data science, electrical and mechanical engineering, economics, mathematics, physics, statistics and binary oscillator computingFull solutions to exercises are available as Jupyter notebooks on the WebSupport MaterialGitHub Repository of Python Files and Notebooks: https://github.com/proflynch/CRC-Press/Solutions to All Exercises:Section 1: An Introduction to Python: https://drstephenlynch.github.io/webpages/Solutions_Section_1.htmlSection 2: Python for Scientific Computing: ... Unknown localization key: "more"

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Python for Cybersecurity

Discover an up-to-date and authoritative exploration of Python cybersecurity strategies Python For Cybersecurity: Using Python for Cyber Offense and Defense delivers an intuitive and hands-on explanation of using Python for cybersecurity. It relies on the MITRE ATT&CK framework to structure its exploration of cyberattack techniques, attack defenses, and the key cybersecurity challenges facing network administrators and other stakeholders today. Offering downloadable sample code, the book is written to help you discover how to use Python in a wide variety of cybersecurity situations, including: Reconnaissance, resource development, initial access, and executionPersistence, privilege escalation, defense evasion, and credential accessDiscovery, lateral movement, collection, and command and controlExfiltration and impact Each chapter includes discussions of several techniques and sub-techniques that could be used to achieve an attacker's objectives in any of these use cases. The ideal resource for anyone with a professional or personal interest in cybersecurity, Python For Cybersecurity offers in-depth information about a wide variety of attacks and effective, Python-based defenses against them.

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Foundational Python for Data Science - Kennedy Behrman

Data science and machine learning—two of the world''s hottest fields—are attracting talent from a wide variety of technical, business, and liberal arts disciplines. Python, the world''s #1 programming language, is also the most popular language for data science and machine learning. This is the first guide specifically designed to help students with widely diverse backgrounds learn foundational Python so they can use it for data science and machine learning. This book is catered to introductory-level college courses on data science. Leading data science instructor and practitioner Kennedy Behrman first walks through the process of learning to code for the first time with Python and Jupyter notebook, then introduces key libraries every Python data science programmer needs to master. Once students have learned these foundations, Behrman introduces intermediate and applied Python techniques for real-world problem-solving. Throughout, Foundational Python for Data Science presents hands-on exercises, learning assessments, case studies, and more—all created with Colab (Jupyter compatible) notebooks, so students can execute all coding examples interactively without installing or configuring any software.

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Python for Data Analysis 3e - Wes McKinney

Get the definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.10 and pandas 1.4, the third edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You'll learn the latest versions of pandas, NumPy, and Jupyter in the process.Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python. It's ideal for analysts new to Python and for Python programmers new to data science and scientific computing. Data files and related material are available on GitHub.Use the Jupyter notebook and IPython shell for exploratory computingLearn basic and advanced features in NumPyGet started with data analysis tools in the pandas libraryUse flexible tools to load, clean, transform, merge, and reshape dataCreate informative visualizations with matplotlibApply the pandas groupby facility to slice, dice, and summarize datasetsAnalyze and manipulate regular and irregular time series dataLearn how to solve real-world data analysis problems with thorough, detailed examples

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Beginning Programming with Python For Dummies - John Paul Mueller

Create simple, easy programs in the popular Python language Beginning Programming with Python For Dummies is the trusted way to learn the foundations of programming using the Python programming language. Python is one of the top-ranked languages, and there’s no better way to get started in computer programming than this friendly guide. You’ll learn the basics of coding and the process of creating simple, fun programs right away. This updated edition features new chapters, including coverage of Google Colab, plus expanded information on functions and objects, and new examples and graphics that are relevant to today’s beginning coders. Dummies helps you discover the wealth of things you can achieve with Python. Employ an online coding environment to avoid installation woes and code anywhere, any time Learn the basics of programming using the popular Python language Create easy, fun projects to show off your new coding chops Fix errors in your code and use Python with external data sets Beginning Programming with Python For Dummies will get new programmers started—the easy way.Â

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Statistical Analysis with Python For Dummies - Joseph Schmuller

Wrangle stats as you learn how to graph, analyze, and interpret data with Python Statistical Analysis with Python For Dummies introduces you to the tool of choice for digging deep into data to inform business decisions. Even if you're new to coding, this book unlocks the magic of Python and shows you how to apply it to statistical analysis tasks. You'll learn to set up a coding environment and use Python's libraries and functions to mine data for correlations and test hypotheses. You'll also get a crash course in the concepts of probability, including graphing and explaining your results. Part coding book, part stats class, part business analyst guide, this book is ideal for anyone tasked with squeezing insight from data. Get clear explanations of the basics of statistics and data analysisLearn how to summarize and analyze data with Python, step by stepImprove business decisions with objective evidence and analysisExplore hypothesis testing, regression analysis, and prediction techniques This is the perfect introduction to Python for students, professionals, and the stat-curious.

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Python for Data Science For Dummies - John Paul Mueller, Luca Massaron

Let Python do the heavy lifting for you as you analyze large datasets Python for Data Science For Dummies lets you get your hands dirty with data using one of the top programming languages. This beginner’s guide takes you step by step through getting started, performing data analysis, understanding datasets and example code, working with Google Colab, sampling data, and beyond. Coding your data analysis tasks will make your life easier, make you more in-demand as an employee, and open the door to valuable knowledge and insights. This new edition is updated for the latest version of Python and includes current, relevant data examples. Get a firm background in the basics of Python coding for data analysisLearn about data science careers you can pursue with Python coding skillsIntegrate data analysis with multimedia and graphics Manage and organize data with cloud-based relational databasesPython careers are on the rise. Grab this user-friendly Dummies guide and gain the programming skills you need to become a data pro.

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Introduction to Python for Engineers and Scientists - Sandeep Nagar

Familiarize yourself with the basics of Python for engineering and scientific computations using this concise, practical tutorial that is focused on writing code to learn concepts. Introduction to Python is useful for industry engineers, researchers, and students who are looking for open-source solutions for numerical computation. In this book you will learn by doing, avoiding technical jargon, which makes the concepts easy to learn. First you''ll see how to run basic calculations, absorbing technical complexities incrementally as you progress toward advanced topics. Throughout, the language is kept simple to ensure that readers at all levels can grasp the concepts. What You''ll Learn Understand the fundamentals of the Python programming language Apply Python to numerical computational programming projects in engineering and science Discover the Pythonic way of life Apply data types, operators, and arrays Carry out plotting for visualization Work with functions and loops Who This Book Is For Engineers, scientists, researchers, and students who are new to Python. Some prior programming experience would be helpful but not required.

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Programming with Python for Engineers - Gokturk Ucoluk, Sinan Kalkan, Onur T. Sehitoglu

This book introduces computing and programming with undergraduate engineering students in mind. It uses Python (Version 3) as the programming language, chosen for its simplicity, readability, wide applicability and large collection of libraries. After introducing engineering-related Python libraries, such as NumPy, Pandas, Matplotlib, Sci-kit, Programming with Python for Engineers shows how Python can be used to implement methods common in a wide spectrum of engineering-related problems drawn from (for example): design, control, decision-making, scheduling and planning. Important features of the book include the following:   The book contains interactive content for illustration of important concepts, where the user can provide input and by clicking buttons, trace through the steps. Each chapter is also accessible as a Jupyter Notebook page and every code piece is executable. This allows the readers to run code examples in chapters immediately, to make changes and gain a better grasp of the concepts presented.     The coverage of topics is complemented by illustrative examples and exercises. For instructors adopting the textbook, a solutions manual is provided at https://sites.google.com/springernature.com/extramaterial/lecturer-material.

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Black Hat Python: Python Programming for Hackers and Pentesters (1718501129)

Kniha - autor Justin Seitz; Tim Arnold, 200 stran, anglicky, brožovaná bez přebalu matná When it comes to creating powerful and effective hacking tools, Python is the language of choice for most security analysts. But just how does the magic happen? In Black Hat Python, the latest from Justin Seitz (author of the best-selling Gray Hat Python), you’ll explore the darker side of Python’s capabilities—writing network sniffers, manipulating packets, infecting virtual machines, creating stealthy trojans, and more. You’ll learn how to: –Create a trojan command-and-control using GitHub –Detect sandboxing and automate com­mon malware tasks, like keylogging and screenshotting –Escalate Windows privileges with creative process control –Use offensive memory forensics tricks to retrieve password hashes and inject shellcode into a virtual machine –Extend the popular Burp Suite web-hacking tool –Abuse Windows COM automation to perform a man-in-the-browser...

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Python For Kids For Dummies - Brendan Scott

The kid-friendly way to learning coding with Python Calling all wanna-be coders! Experts point to Python as one of the best languages to start with when you're learning coding, and Python For Kids For Dummies makes it easier than ever.

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Python for Kids, 2nd Edition - Jason R. Briggs

Python for Kids brings Python to life and brings kids (and their parents) into the wonderful world of programming. Author Jason R. Briggs guides readers through the basics, experimenting with unique (and often hilarious) example programs that feature ravenous monsters, secret agents, thieving ravens, and more. Full-colour illustrations keep things fun and engaging throughout! This second edition has been completely updated and revised to reflect the latest Python version and programming practices, with new puzzles to inspire readers to take their code farther than ever before.

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The Quick Python Book, Fourth Edition - Naomi Ceder

A fast-paced introduction to Python for intermediate developers–now with coverage of generative AI!For over 25 years, The Quick Python Book has been one of the best Python books money can buy. It concisely covers programming basics, while introducing Python''s comprehensive standard library and unique features in depth and detail. In this fourth edition, you''ll find new coverage of AI coding tools like Copilot and Google''s Colaboratory (Colab), and develop a mindset that can make the most of AI. The Quick Python Book, Fourth Edition includes: Python syntax, data structures, and best practices Python as an object oriented language Common Python libraries Basic data handling with Python Using AI code generation tools with Python Whether you''re new to Python or looking to advance your basic skills, The Quick Python Book, Fourth Edition will get you writing effective Python code fast. Python authority and former Chair of the Python Software Foundation Board or Directors Naomi Ceder has returned to author this extensively revised fourth edition. With the personal touch of a skilled teacher, Naomi beautifully balances details of the language with the insights and advice you need to handle any task. About the technology: System automation. High-performance web apps. Cloud and back-end ... Unknown localization key: "more"

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Learn Python the Hard Way - Zed Shaw

You Will Learn Python! Zed Shaw has created the world''s most reliable system for learning Python. Follow it and you will succeed--just like the millions of beginners Zed has taught to date! You bring the discipline, persistence, and attention; the author supplies the masterful knowledge you need to succeed. In Learn Python the Hard Way, Fifth Edition, you''ll learn Python by working through 60 lovingly crafted exercises. Read them. Type in the code. Run it. Fix your mistakes. Repeat. As you do, you''ll learn how a computer works, how to solve problems, and how to enjoy programming . . . even when it''s driving you crazy. Install a complete Python environment Organize and write code Fix and break code Basic mathematics Strings and text Interact with users Work with files Looping and logic Object-oriented programming Data structures using lists and dictionaries Modules, classes, and objects Python packaging Automated testing Basic SQL for Data Science Web scraping Fixing bad data (munging) The "Data" part of "Data Science" It''ll be frustrating at first. But if you keep trying, you''ll get it--and it''ll feel amazing! This course will reward you for every minute you put into it. Soon, you''ll know one of the ... Unknown localization key: "more"

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Classic Computer Science Problems in Python - David Kopec

Classic Computer Science Problems in Python presents dozens of coding challenges, ranging from simple tasks like finding items in a list with a binary sort algorithm to clustering data using k-means. Classic Computer Science Problems in Python deepens your Python language skills by challenging you with time-tested scenarios, exercises, and algorithms. As you work through examples in search, clustering, graphs, and more, you''ll remember important things you''ve forgotten and discover classic solutions to your "new" problems Key Features · Breadth-first and depth-first search algorithms · Constraints satisfaction problems · Common techniques for graphs · Adversarial Search · Neural networks and genetic algorithms · Written for data engineers and scientists with experience using Python. For readers comfortable with the basics of Python About the technology Python is used everywhere for web applications, data munging, and powerful machine learning applications. Even problems that seem new or unique stand on the shoulders of classic algorithms, coding techniques, and engineering principles. Master these core skills, and you’ll be ready to use Python for AI, data-centric programming, deep learning, and the other challenges you’ll face as you grow your skill as a programmer. David Kopec teaches at Champlain College in Burlington, VT and is the ... Unknown localization key: "more"

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What Every Engineer Should Know About Python - Raymond J. Madachy

Engineers of all disciplines can benefit from knowledge of Python. This powerful programming language can help engineers better leverage their skill set and do more sophisticated work in a shorter time, including engineering analysis, machine learning, system design, integration and testing, and project management. What Every Engineer Should Know About Python provides engineering students and practitioners with a simple and practical introduction to Python for technical programming and other empowering uses for engineering and scientific work. It teaches the core features of Python relevant for engineers without computer science jargon, with the immediate goal of writing useful programs.• Features examples tied to real-world engineering and scientific scenarios that are easily adapted and incorporated• Covers how to best leverage the plethora of open source Python packages as opposed developing new software from scratch• Details the why, when, and how to incorporate Python into engineering designs and systems• Describes tool environments and software process best practices for rapid development• Demonstrates other uses of Python besides numerical computing, such as how to incorporate into engineering designs and systems, development tools and processes, and other ancillary uses to improve personal and organizational productivity through workflow automation• Points to more extensive material online for readers ... Unknown localization key: "more"

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Python for Everyone, EMEA Edition - Cay S. Horstmann, Rance D. Necaise

Python for Everyone, 3rd Edition is an introduction to programming designed to serve a wide range of student interests and abilities, focused on the essentials, and on effective learning. It is suitable for a first course in programming for computer scientists, engineers, and students in other disciplines. This text requires no prior programming experience and only a modest amount of high school algebra. Objects are used where appropriate in early chapters and students start designing and implementing their own classes in Chapter 9. New to this edition are examples and exercises that focus on various aspects of data science.

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Practice of Computing Using Python, The, Global Edition - Richard Enbody, William Punch

For courses in Python Programming Now in its 3rd Edition, Practice of Computing Using Python continues to introduce both majors and non-majors taking CS1 courses 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 students to work on real problems using Internet-sourced or self-generated data sets that represent their own work and interests. The authors also emphasise program development and provide both majors and non-majors with a practical foundation in programming that will be useful in their respective fields. Among other changes, the 3rd Edition incorporates a switch to the Anaconda distribution, the SPYDER IDE, and a focus on debugging and GUIs.

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Python for Excel Users - Tracy Stephens

Excel is a mainstay of the modern workplace, but it isn''t up to every task. Python for Excel Users offers a better way, showing how relatively simple programming can greatly boost productivity by streamlining workflows and adding new tools to the reader''s toolbox - no programming experience required. Uses include: Generating beautiful data visualizations, Creating interactive reports and dashboards, Tracking collaborative projects. This book leverages what readers already know about Excel to introduce useful coding applications. Practical examples illustrate how programming skills can be immediately applied to the reader''s day-to-day work.

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Artificial Intelligence Programming with Python - Perry Xiao

A hands-on roadmap to using Python for artificial intelligence programming In Practical Artificial Intelligence Programming with Python: From Zero to Hero, veteran educator and photophysicist Dr. Perry Xiao delivers a thorough introduction to one of the most exciting areas of computer science in modern history. The book demystifies artificial intelligence and teaches readers its fundamentals from scratch in simple and plain language and with illustrative code examples. Divided into three parts, the author explains artificial intelligence generally, machine learning, and deep learning. It tackles a wide variety of useful topics, from classification and regression in machine learning to generative adversarial networks. He also includes: Fulsome introductions to MATLAB, Python, AI, machine learning, and deep learningExpansive discussions on supervised and unsupervised machine learning, as well as semi-supervised learningPractical AI and Python “cheat sheet” quick referencesThis hands-on AI programming guide is perfect for anyone with a basic knowledge of programming—including familiarity with variables, arrays, loops, if-else statements, and file input and output—who seeks to understand foundational concepts in AI and AI development.

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English for Everyone English Grammar Guide: French language edition

We may all speak the same language, but getting to grips with grammar is the ultimate challenge. You could be puzzled by prepositions, confused by comparatives, or muddled over modals. Thankfully, this complete visual aid to everything in the English language sets you straight with a clear and concise format for easy understanding.The rules of English grammar are beautifully presented with eye-catching illustrations, step-by-step graphics, and straightforward explanations to help you learn. Suitable for English language learners at all levels, including experienced English speakers looking for a recap of key language points, English Grammar Guide covers basic, intermediate, and advanced grammar. There is no stone left unturned when it comes to the English language.All kinds of problems are solved, including tenses, verbs, adverbs, clauses, superlatives, and questions. You are encouraged to spot patterns and sequences in language to see the similarities and develop greater understanding. After swotting up, test yourself with a range of speaking, reading, and writing exercises to see how far you have come.This essential grammar guide is part of DK's English for Everyone series, an exciting and educational self-study course to build up confidence and fluency. Whether you want to improve your grammar for school, study, exams ... Unknown localization key: "more"

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Practical Grammar Teaching for the Second Language Classroom

Practical Grammar Teaching for the Second Language Classroom provides a well-rounded foundation for teaching second language (L2) grammar for pre-service, novice, and practicing teachers, as well as for teacher educators who seek to develop their professional knowledge and skills. Written in a highly readable style for an international audience, it presents classroom strategies, techniques, activities, and applications of current and effective innovations to English grammar instruction.The contributors to this volume are well-established and highly regarded experts in L2 pedagogy, and each contributor offers a thorough overview of the principled and research-based instruction currently prevalent in teaching L2 grammar worldwide. The book provides practical guidelines and strategies for focused language instruction, teaching grammar in writing classes, and applications of technology to grammar teaching and learning.This key text is essential for students in undergraduate and graduate MA-TESOL (Master of Arts for Teaching English to Speakers of Other Languages)Â programs, pre-service and practicing ESL/EFL (English as a second language/English as a foreign language)Â teachers, teacher educators, and teaching faculty.

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Natural Wine for the People - Alice Feiring

A compact illustrated guide to the emerging and enormously popular category of natural wine, a style that focuses on minimal intervention, lack of additives, and organic and biodynamic growing methods.Today, wine is more favored and consumed that it''s ever been in the United States--and millennials are leading the charge, drinking more wine than any other generation in history. Many have been pulled in by the tractor beam of natural wine--that is, organic or biodynamic wine made with nothing added, and nothing taken away--a movement that has completely rocked the wine industry in recent years. While all of the hippest restaurants and wine bars are touting their natural wine lists, and while more and more consumers are calling for natural wine by name, there is still a lot of confusion about what exactly natural wine is, where to find it, and how to enjoy it. In Natural Wine for the People, James Beard Award-winner Alice Feiring sets the record straight, offering a pithy, accessible guide filled with easy definitions, tips and tricks for sourcing the best wines, whimsical illustrations, a definitive list to the must-know producers and bottlings, and an appendix with the best shops and restaurants specializing in natural wine ... Unknown localization key: "more"

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Digital Image Processing, Global Edition - Richard Woods, Rafael Gonzalez

For courses in Image Processing and Computer Vision. For years, Image Processing has been the foundational text for the study of digital image processing. The book is suited for students at the college senior and first-year graduate level with prior background in mathematical analysis, vectors, matrices, probability, statistics, linear systems, and computer programming. As in all earlier editions, the focus of this edition of the book is on fundamentals. The 4th Edition is based on an extensive survey of faculty, students, and independent readers in 5 institutions from 3 countries. Their feedback led to epanded or new coverage of topics such as deep learning and deep neural networks, including convolutional neural nets, the scale-invariant feature transform (SIFT), maimally-stable etremal regions (MSERs), graph cuts, k-means clustering and superpiels, active contours (snakes and level sets), and eact histogram matching. Major improvements were made in reorganising the material on image transforms into a more cohesive presentation, and in the discussion of spatial kernels and spatial filtering.

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Countability in Natural Language

This book focuses on current theoretical and empirical research into countability in the nominal domain, and to a lesser extent in the verbal domain. The presented state-of-the-art studies are situated within compositional semantics combined with the theory of mereology, and draw on a wealth of data, some of which have hitherto been unknown, from a number of typologically distinct languages. Some contributions propose enrichments of classical extensional mereology with topological and temporal notions as well as with type theory and probabilistic models. The book also presents analyses that rely on cutting-edge empirical research (experimental, corpus-based) into meaning in language. It is suitable as a point of departure for original research or material for seminars in semantics, philosophy of language, psycholinguistics and other fields of cognitive science. It is of interest not only to a semanticist, but also to anybody who wishes to gain insights into the contemporary research into countability.

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The Problem with Pierre - Suzanna Hubbard, C K Smouha

Praise for The Problem with Pierre''''Engaging, charming, and tender''''. -- Kirkus Starred Review''''What a heart-warming story of two loving and giving friends! This would make a nice readaloud for K-3 grades about inclusion, friendship and love''''. -- Youth Services Book Reviews''''Young cat enthusiasts receive a warm lesson on friendship and compromise which is engagingly different''''. -- Midwest Book Review''''A stylish picturebook with themes of compromise and friendship''''. -- Books For Keeps''''A tale of friendship and cooperation illustrated in a lovely free-flowing style, full of colour''''. -- Love Reading for Kids *Book of the Month* The differences between Bertram and his neighbor Alan were never a problem until a fussy cat entered the equation!Alan and Betram are next-door neighbors. They are also best friends. They are also very, very different to one another. Bertram is extremely neat, and Alan is wildly messy. When Bertram gets a cat, called Pierre, he is dismayed to find that Pierre prefers it at Alan’s house.Alan tries to help his friend out – giving him his old sheepskin coat, his chipped bowl and finally, his beat up old sofa. At last, Pierre and Bertram are happy, but Alan is not – he has no company and ... Unknown localization key: "more"

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Technology for the Language Classroom - Leo Mercado

This volume in the ALLC series offers current and soon-to-be professionals in the ESL / EFL field a comprehensive guide to how to make the best use of technology to enhance the English language learning experience. The book has a predominant focus on practical insights that are based on successful real-life experiences at the classroom and study program level, including contributions from teachers in various countries. Nevertheless, there is also a strong foundation in existing research and literature as they relate to the needs of English language teachers. To promote reflective and exploratory practice, there is plenty of ''food-for-thought'' for the reader. Although pre-service and in-service teachers represent the primary audience, the book is likely to be just as useful for language program administrators, researchers, curriculum and materials writers, and e-learning developers.

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Pedagogical Translation for Language Teaching - Sarah Albrecht

Bringing translation, second-language acquisition and literacy together for a powerful approach to language teaching and learning, this book is an essential volume for teaching language and literacy.

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Weltbild EDP Apello Lilac for Woman by Jean-Pierre Sand, 75 ml

Parfémovaná voda Apello je nádherná, smyslná květinová vůně pro ženy z domu Jean-Pierre Sanda. V jedinečném sběratelském flakonu v podobě francouzského buldočka. Hlava: neroli, zázvor. Srdce: květ tiaré, lilie. Základ: růžové dřevo, pižmo, mech. Objem: 75 ml.

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Promoting Language for Learners with Autism Spectrum Disorder

Promoting Language for Learners with Autism Spectrum Disorder: A Verbal Behavior Guide for Practitioners introduces the core principles of verbal behavior and provides practical, evidence-based strategies for teaching language skills to children with autism in applied settings.

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The Keys to Strategies for Language Instruction - David McAlpine

The ACTFL Guide for Professional Language Educators: The Keys to Strategies for Language Instruction Engagement, Relevance, Critical Thinking, Collaboration

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Herman Melville: Pierre, Israel Potter, The Piazza Tales, The Confidence-Man, Billy Budd, Uncollected Prose (LOA #24) - Herman Melville

Forgoing the narratives of the sea that prevailed in his earlier works, Melville’s later fiction contains some of the finest and many of his keenest and bleakest observations of life, not on the high seas, but at home in America. With the publication of this Library of America volume, the third of three volumes, all Melville’s fiction has now been restored to print for the first time.Pierre; or, The Ambiguities, published in 1852 (the year after Moby-Dick), moves between the idyllic Berkshire countryside and the nightmare landscape of early New York City. Its hero, a young American patrician trying to redeem the secret sins of his father, elopes to the city, discovers Bohemian life, attempts a literary epic, and struggles his way through incest, murder, and madness. Long a controversial work, it is Melville’s darkest satire of American life and letters and one of his most powerful books.A pivotal work, both for Melville’s career and for American literature, Pierre was followed by Israel Potter, the story of a veteran of the Revolution, victim of a thousand mischances, and a long-suffering exile in England. Along the way are memorable episodes of war and intrigue, with personal portraits of Benjamin Franklin, John ... Unknown localization key: "more"

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The Korean Case for Youth Language Learning

The Korean Case for Youth Language Learning is a collection of chapters which address the complexities at the intersection of Korean language learning, the global popularity of Korean culture, and Generation Z learners’ characteristics.

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Language Testing and Assessment - Aek Phakiti

This book covers crucial knowledge and skill sets for developing language tests and setting assessments. Aimed at practitioners of applied linguistics and TESOL and complete with online resources in a companion website for students and lecturers, the book:- covers the theoretical and methodological framework and rationale for language test use, assessment techniques in different language skills and basic strategies for analysis of test quality- stresses the importance of test reliability, validity and fairness in language assessment- provides its audience with theoretical and practical knowledge in language assessment- forms an accessible gateway into the often intimidating world of language assessment, and a unique opportunity for the readers to ground their knowledge of principles in language assessment research.This book equips readers with the ability to use theories and principles in language testing and assessment to design and use language tests and assessments optimally, given the available time and resources in a given context, and promote good practice and research in language testing and assessment.

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The New Psychology of Language - David Peeters, Ton Dijkstra

This illuminating book offers an up-to-date introduction to the psychology of language, exploring aspects of language processing that have previously not been given centre stage such as the role of body and brain, social aspects of language use, and mental models.The New Psychology of Language presents an overarching theoretical account called the Language User Framework for discussing a wide variety of core language activities. How do we understand speech in conversations? How do we read books? How do we convert our thoughts into bodily signals (speech, gestures, facial expressions) when we speak? What happens in the mind and brain when we have mastered two or more languages? All these aspects of language use are discussed at the level of words and sentences, as well as text and discourse. Language is considered as an embodied, embedded, incremental cognitive activity aiming at the construction and communication of rich and dynamic mental models. Discussion boxes highlight controversies in the field; case studies and practical exercises provide insight into everyday examples; illustrations represent important models of language processing; and key findings come along with clear and concise chapter summaries. Special attention is paid to research techniques for investigating the psychology of language.This accessible book ... Unknown localization key: "more"

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Treatment Resource Manual for Speech-Language Pathology

For speech-language pathology students in clinical methods or practicum courses, this textbook provides comprehensive information on treatment.

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The Handbook of Adult Language Disorders

The Handbook of Adult Language Disorders is the essential guide to the scientific and clinical tenets of aphasia study and treatment. It focuses on how language breaks down after focal brain damage, what patterns of impairment reveal about normal language, and how recovery can be optimally facilitated. It is unique in that it reviews studies from the major disciplines in which aphasia research is conducted—cognitive neuropsychology, linguistics, neurology, neuroimaging, and speech-language pathology—as they apply to each topic of language. For each language domain, there are chapters devoted to theory and models of the language task, the neural basis of the language task (focusing on recent neuroimaging studies) and clinical diagnosis and treatment of impairments in that domain. In addition, there is broad coverage of approaches to investigation and treatment from leading experts, with several authors specializing in two or more disciplines. This second edition focuses on characterizing the cognitive and neural processes that account for each variant of aphasia as a first step toward developing effective rehabilitation, given that aphasia is one of the most common and disabling consequences of stroke. The best and most authoritative handbook in the field, The Handbook of Adult Language Disorders is the definitive reference ... Unknown localization key: "more"

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CranioSacral Therapy: Touchstone for Natural Healing - Upledger John E.

In CranioSacral Therapy: Touchstone for Natural Healing, John E. Upledger, DO, OMM, recounts his development of CranioSacral Therapy. He shares poignant case studies of restored health: a five-year-old autistic boy, a man with Erb’s palsy, a woman with a fifteen year history of severe headaches, and numerous others. And he offers simple CranioSacral Therapy techniques you can perform at home on yourself or loved ones.

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Textual analysis for English Language and Literature for the IB Diploma - Angela Stancar Johnson, Carolyn P. Henly

Build confidence in a range of key textual analysis techniques and skills with this practical companion, full of advice and guidance from experienced experts.- Build analysis techniques and skills through a range of strategies, serving as a useful companion throughout the course - from critical-thinking, referencing and citation and the development of a line of inquiry to reflecting on the writing process and constructing essays for Paper 1 and Paper 2- Develop skills in how to approach a text using textual analysis strategies and critical theory, for both unseen texts (the basis of Paper 1) and texts studied in class- Concise, clear explanations help students navigate the IB requirements, including advice on assessment objectives and how literary and textual analysis weaves through Paper 1, Paper 2, the HL Essay, Individual Oral and the Learner Profile- Build understanding in how to approach texts so that students can write convincingly and passionately about texts through active reading, note-taking, asking questions, and developing a personal response to texts - Engaging activities are provided to test understanding of each topic and develop skills for the exam - guiding answers are available to check your responses

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