foundations of data science with python john m shea

Foundations of Data Science with Python introduces readers to the fundamentals of data science, including data manipulation and visualization, probability, statistics, and dimensionality reduction. This book is targeted toward engineers and scientists, but it should be readily understandable to anyone who knows basic calculus and the essentials of computer programming. It uses a computational-first approach to data science: the reader will learn how to use Python and the associated data-science libraries to visualize, transform, and model data, as well as how to conduct statistical tests using real data sets. Rather than relying on obscure formulas that only apply to very specific statistical tests, this book teaches readers how to perform statistical tests via resampling; this is a simple and general approach to conducting statistical tests using simulations that draw samples from the data being analyzed. The statistical techniques and tools are explained and demonstrated using a diverse collection of data sets to conduct statistical tests related to contemporary topics, from the effects of socioeconomic factors on the spread of the COVID-19 virus to the impact of state laws on firearms mortality.This book can be used as an undergraduate textbook for an Introduction to Data Science course or to provide a ... Unknown localization key: "more"

Objev podobné jako Foundations of Data Science with Python - John M. Shea

Learn how to use Python and associated data-science libraries to work with and visualize vectors and matrices and their operations, as well import data to apply these techniques. Learn basics of performing vector and matrix operations by hand, how to use several different Python libraries for performing operations.

Objev podobné jako Linear Algebra for Data Science with Python - John M. Shea

This book provides the tools, the methods, and the theory to meet the challenges of contemporary data science applied to geographic problems and data. In the new world of pervasive, large, frequent, and rapid data, there are new opportunities to understand and analyze the role of geography in everyday life. Geographic Data Science with Python introduces a new way of thinking about analysis, by using geographical and computational reasoning, it shows the reader how to unlock new insights hidden within data.Key Features:● Showcases the excellent data science environment in Python.● Provides examples for readers to replicate, adapt, extend, and improve.● Covers the crucial knowledge needed by geographic data scientists.It presents concepts in a far more geographic way than competing textbooks, covering spatial data, mapping, and spatial statistics whilst covering concepts, such as clusters and outliers, as geographic concepts.Intended for data scientists, GIScientists, and geographers, the material provided in this book is of interest due to the manner in which it presents geospatial data, methods, tools, and practices in this new field.

Objev podobné jako Geographic Data Science with Python - Dani Arribas-Bel, Sergio Rey, Levi John Wolf

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Develop a practical understanding of data science with this hands-on textbook for introductory courses. This new edition is fully revised and updated, with an exclusive focus on the popular data science tool Python. The book includes many examples of real-life applications, with practice ranging from small to big data.

Objev podobné jako A Hands-On Introduction to Data Science with Python - Chirag Shah

Kniha - autor Eric Matthes, 544 stran, anglicky, brožovaná bez přebalu matná Python Crash Course is the world’s bestselling programming book, with over 1,500,000 copies sold to date! Python Crash Course is the world’s best-selling guide to the Python programming language. This fast-paced, thorough introduction will have you writing programs, solving problems, and developing functioning applications in no time. You’ll start by learning basic programming concepts, such as variables, lists, classes, and loops, and practice writing clean code with exercises for each topic. You’ll also learn how to make your programs interactive and test your code safely before adding it to a project. You’ll put your new knowledge into practice by creating a Space Invaders–inspired arcade game, building a set of data visualizations with Python’s handy libraries, and deploying a simple application online. As you work through the book, you’ll learn how to: Use powerful Python...

Objev podobné jako Python Crash Course: 3rd Edition (9781718502703)

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.

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

An Absolute Beginner''s Guide to Learning Data Analysis Using Python, a Demanding Skill for TodayKey FeaturesHands-on learning experience of Python''s fundamentals.Covers various examples of how to code end-to-end data analysis with easy illustrations.An excellent starting point to begin your data analysis journey with Python programming.DescriptionIn an effort to provide content for beginners, the book Data Analysis with Python provides a concrete first step in learning data analysis. Written by a data professional with decades of experience, this book provides a solid foundation in data analysis and numerous data science processes. In doing so, readers become familiar with common Python libraries and straightforward scripting techniques.Python and many of its well-known data analysis libraries, such as Pandas, NumPy, and Matplotlib, are utilized throughout this book to carry out various operations typical of data analysis projects.Following an introduction to Python programming fundamentals, the book combines well-known numerical calculation and statistical libraries to demonstrate the fundamentals of programming, accompanied by many practical examples. This book provides a solid groundwork for data analysis by teaching Python programming as well as Python''s built-in data analysis capabilities.What you will learnLearn the fundamentals of core Python programming for data analysis.Master Python''s most demanding data analysis and visualization libraries, ... Unknown localization key: "more"

Objev podobné jako Data Analysis with Python - Rituraj Dixit

How are today’s ‘hearts and minds’ programs linked to a late-19th century definition of human factors as people’s moral and mental deficits? What do Heinrich’s ‘unsafe acts’ from the 1930’s have in common with the Swiss cheese model of the early 1990’s? Why was the reinvention of human factors in the 1940’s such an important event in the development of safety thinking? What makes many of our current systems so complex and impervious to Tayloristic safety interventions? ‘Foundations of Safety Science’ covers the origins of major schools of safety thinking, and traces the heritage and interlinkages of the ideas that make up safety science today.FeaturesOffers a comprehensive overview of the theoretical foundations of safety science Provides balanced treatment of approaches since the early 20th century, showing interlinkages and cross-connections Includes an overview and key points at the beginning of each chapter and study questions at the end to support teaching use Uses an accessible style, using technical language where necessary Concentrates on the philosophical and historical traditions and assumptions that underlie all safety approaches

Objev podobné jako Foundations of Safety Science - Sidney Dekker

This book is intended to serve as a bridge in statistics for graduates and business practitioners interested in using their skills in the area of data science and analytics as well as statistical analysis in general. On the one hand, the book is intended to be a refresher for readers who have taken some courses in statistics, but who have not necessarily used it in their day-to-day work. On the other hand, the material can be suitable for readers interested in the subject as a first encounter with statistical work in Python. Statistics and Data Visualisation with Python aims to build statistical knowledge from the ground up by enabling the reader to understand the ideas behind inferential statistics and begin to formulate hypotheses that form the foundations for the applications and algorithms in statistical analysis, business analytics, machine learning, and applied machine learning. This book begins with the basics of programming in Python and data analysis, to help construct a solid basis in statistical methods and hypothesis testing, which are useful in many modern applications.

Objev podobné jako Statistics and Data Visualisation with Python - Jesus Rogel-Salazar

Mary Baker Eddy (1821-1910) is best known for founding the religion of Christian Science - an international institution which has extended beyond her lifetime and into the twenty-first century. Often labelled as fringe theology, rather than core philosophy, Eddy''s work has remained on the peripheries of academia. Her unmitigated idealism, and occasionally nebulous style, have led to a reluctance to apply a philosophical rigour to her thinking. In The Philosophical Foundations of Christian Science, Nicholas Sheldon rediscovers her as a radical philosopher, one of many female philosophers of her time who, he contends, should no longer be underestimated. Carefully analysing her non-linear style in order to understand her internal system of thought, Sheldon resolves flaws within her argument, and draws out Christian Science''s remarkable philosophical assertion: that it is not only illness and suffering which are unreal, but the entire physical realm. For Eddy, it is only the spiritual which remains.

Objev podobné jako The Philosophical Foundations of Christian Science - Nicholas D. Sheldon

Mary Baker Eddy (1821-1910) is best known for founding the religion of Christian Science - an international institution which has extended beyond her lifetime and into the twenty-first century. Often labelled as fringe theology, rather than core philosophy, Eddy''s work has remained on the peripheries of academia. Her unmitigated idealism, and occasionally nebulous style, have led to a reluctance to apply a philosophical rigour to her thinking. In The Philosophical Foundations of Christian Science, Nicholas Sheldon rediscovers her as a radical philosopher, one of many female philosophers of her time who, he contends, should no longer be underestimated. Carefully analysing her non-linear style in order to understand her internal system of thought, Sheldon resolves flaws within her argument, and draws out Christian Science''s remarkable philosophical assertion: that it is not only illness and suffering which are unreal, but the entire physical realm. For Eddy, it is only the spiritual which remains.

Objev podobné jako The Philosophical Foundations of Christian Science - Nicholas D. Sheldon

Have you wondered how marketers use data and technology to capture relevant information on their target audience? Or how marketers in today’s world deal with questions around sustainability, climate change and planned product obsolescence? In its 7th edition, Foundations of Marketing aims to answer these pressing questions. This leading textbook is packed with contemporary examples and case studies that highlight the real-world applications of marketing concepts. Discover: • The growing importance of social marketing• How organisations are leveraging consumer data to make decisions and drive customer retention and conversion levels• The role of brand communities, peer-to-peer marketing and social influencers• Both a Managerial and Consumer approach to marketingKey features: • Marketing Spotlights highlight the marketing innovations of brands such as Zoom, Rent the Runway, John Lewis and Patagonia.• Marketing in Action boxes offer modern examples of real marketing campaigns in the UK, Denmark, The Netherlands and internationally. • Critical Marketing Perspective boxes encourage students to critically reflect on ethical debates and stimulate student discussion and analysis about socially responsible practices.• End of Chapter Case Studies covering Starbucks, Patek Philipe, Spotify and Depop provides students with an in-depth analysis of companies’ marketing strategies. Each case study has dedicated questions to encourage ... Unknown localization key: "more"

Objev podobné jako Foundations of Marketing, 7e - David Jobber, John Fahy

From a review of the first edition: "Modern Data Science with R… is rich with examples and is guided by a strong narrative voice. What’s more, it presents an organizing framework that makes a convincing argument that data science is a course distinct from applied statistics" (The American Statistician).Modern Data Science with R is a comprehensive data science textbook for undergraduates that incorporates statistical and computational thinking to solve real-world data problems. Rather than focus exclusively on case studies or programming syntax, this book illustrates how statistical programming in the state-of-the-art R/RStudio computing environment can be leveraged to extract meaningful information from a variety of data in the service of addressing compelling questions.The second edition is updated to reflect the growing influence of the tidyverse set of packages. All code in the book has been revised and styled to be more readable and easier to understand. New functionality from packages like sf, purrr, tidymodels, and tidytext is now integrated into the text. All chapters have been revised, and several have been split, re-organized, or re-imagined to meet the shifting landscape of best practice.

Objev podobné jako Modern Data Science with R - Benjamin S. Baumer, Nicholas J. Horton, Daniel T. Kaplan

The new edition of an introduction to the art of computational problem solving using Python.This book introduces students with little or no prior programming experience to the art of computational problem solving using Python and various Python libraries, including numpy, matplotlib, random, pandas, and sklearn. It provides students with skills that will enable them to make productive use of computational techniques, including some of the tools and techniques of data science for using computation to model and interpret data as well as substantial material on machine learning. All of the code in the book and an errata sheet are available on the book’s web page on the MIT Press website.

Objev podobné jako Introduction to Computation and Programming Using Python, third edition - John V. Guttag

Statistical Analytics for Health Data Science with SAS and R Set compiles fundamental statistical principles with advanced analytical techniques and covers a wide range of statistical methodologies. With an emphasis on real-world applications, it integrates publicly available health datasets and provides case studies.

Objev podobné jako Statistical Analytics for Health Data Science with SAS and R Set - Jeffrey Wilson, Ding-Geng Chen, Karl E. Peace

Prepares students for Microsoft Exam 70-774-and helps them demonstrate real-world mastery of performing key data science activities with Azure Machine Learning services. Designed for experienced IT students ready to advance their status, Exam Ref focuses on the critical thinking and decision-making acumen needed for success at the MCSA level.

Objev podobné jako Exam Ref 70-774 Perform Cloud Data Science with Azure Machine Learning - Ginger Grant, Tamanaco Francisquez, Pau Sempere, Paco Gonzalez, Julio Granado

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.

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

International bestseller with over half a million copies sold! Celebrate a decade of data storytelling with this special 10th anniversary edition of Storytelling with Data. Featuring refreshed visuals, expanded content, and new insights, this collector's edition builds on the classic's foundational lessons, empowering you to craft persuasive data stories. Don't simply show your data—tell a story with it! Storytelling with Data teaches you the fundamentals of data visualization and how to communicate effectively with data. You'll discover the power of storytelling and the way to make data a pivotal point in your story. The lessons in this illuminative text are grounded in theory, but made accessible through numerous real-world examples—ready for immediate application to your next graph or presentation. Storytelling is not an inherent skill, especially when it comes to data visualization, and the tools at our disposal don't make it any easier. This book demonstrates how to go beyond conventional tools to reach the root of your data, and how to use your data to create an engaging, informative, compelling story. Specifically, you'll learn how to: Understand the importance of context and audienceDetermine the appropriate type of graph for your situationRecognize and eliminate the clutter clouding your informationDirect your ... Unknown localization key: "more"

Objev podobné jako Storytelling with Data - Cole Nussbaumer Knaflic

In this new edition of the top-selling coursebook, seasoned historians Peter J. Bowler and Iwan Rhys Morus expand on their authoritative survey of how the development of science has shaped our world. Exploring both the history of science and its influence on modern thought, the authors chronicle the major developments in scientific thinking, from the revolutionary ideas of the seventeenth century to contemporary issues in genetics, physics, and more. Designed for entry-level college courses and as a single-volume introduction for the general reader, Bowler and Morus present the history of science not as a series of names and dates but as an interconnected and complex web of relationships joining science and society. Thoroughly revised and expanded, the second edition draws on the latest research and scholarship. It also contains two entirely new chapters: one that explores the impact of computing on the development of science and another that surveys the complex interaction of Western science with the cultures of the rest of the world.

Objev podobné jako Making Modern Science, Second Edition - Iwan Rhys Morus, Peter J Bowler

Master the art and science of data storytelling—with frameworks and techniques to help you craft compelling stories with data. The ability to effectively communicate with data is no longer a luxury in today’s economy; it is a necessity. Transforming data into visual communication is only one part of the picture. It is equally important to engage your audience with a narrative—to tell a story with the numbers. Effective Data Storytelling will teach you the essential skills necessary to communicate your insights through persuasive and memorable data stories. Narratives are more powerful than raw statistics, more enduring than pretty charts. When done correctly, data stories can influence decisions and drive change. Most other books focus only on data visualization while neglecting the powerful narrative and psychological aspects of telling stories with data. Author Brent Dykes shows you how to take the three central elements of data storytelling—data, narrative, and visuals—and combine them for maximum effectiveness. Taking a comprehensive look at all the elements of data storytelling, this unique book will enable you to: Transform your insights and data visualizations into appealing, impactful data storiesLearn the fundamental elements of a data story and key audience driversUnderstand the differences between how the brain ... Unknown localization key: "more"

Objev podobné jako Effective Data Storytelling - Brent Dykes

A feel-good fable and an enduring critique of conformity told with true John Waters flair.

Objev podobné jako Hairspray - John Waters

Jump-start your career as a data scientist—learn to develop datasets for exploration, analysis, and machine learning SQL for Data Scientists: A Beginner's Guide for Building Datasets for Analysis is a resource that’s dedicated to the Structured Query Language (SQL) and dataset design skills that data scientists use most. Aspiring data scientists will learn how to how to construct datasets for exploration, analysis, and machine learning. You can also discover how to approach query design and develop SQL code to extract data insights while avoiding common pitfalls. You may be one of many people who are entering the field of Data Science from a range of professions and educational backgrounds, such as business analytics, social science, physics, economics, and computer science. Like many of them, you may have conducted analyses using spreadsheets as data sources, but never retrieved and engineered datasets from a relational database using SQL, which is a programming language designed for managing databases and extracting data. This guide for data scientists differs from other instructional guides on the subject. It doesn’t cover SQL broadly. Instead, you’ll learn the subset of SQL skills that data analysts and data scientists use frequently. You’ll also gain practical advice and direction on ... Unknown localization key: "more"

Objev podobné jako SQL for Data Scientists - Renee M. P. Teate

Statistical methods are a key part of data science, yet few data scientists have formal statistical training. Courses and books on basic statistics rarely cover the topic from a data science perspective. The second edition of this popular guide adds comprehensive examples in Python, provides practical guidance on applying statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what's important and what's not.Many data science resources incorporate statistical methods but lack a deeper statistical perspective. If you're familiar with the R or Python programming languages and have some exposure to statistics, this quick reference bridges the gap in an accessible, readable format.With this book, you'll learn:Why exploratory data analysis is a key preliminary step in data scienceHow random sampling can reduce bias and yield a higher-quality dataset, even with big dataHow the principles of experimental design yield definitive answers to questionsHow to use regression to estimate outcomes and detect anomaliesKey classification techniques for predicting which categories a record belongs toStatistical machine learning methods that "learn" from dataUnsupervised learning methods for extracting meaning from unlabeled data

Objev podobné jako Practical Statistics for Data Scientists - Peter Bruce, Andrew Bruce, Peter Gedeck

Data Game: The Story of Liverpool FC''s Analytics Revolution explores the lesser-known story of how Liverpool rose to greatness in the 21st century with the help of big data. The Anfield institution is an industry leader in the field of data science, but little is known about how Liverpool''s relationship with numbers began, and how the marriage of data and football helped to deliver wins on the pitch by impacting tactics and recruitment. Upon their takeover, Fenway Sports Group set out to transform Liverpool into a data-driven organisation, but there is a story behind why that vision took around a decade to become a reality. From errors in the transfer market, to suboptimal playing styles, to conflicting egos, Liverpool jumped many hurdles before achieving their ambitions under Jürgen Klopp, with the German surrounded by unsung heroes who shunned the limelight. This is the tale of how Liverpool gained an edge over their wealthier rivals by getting smart.

Objev podobné jako Data Game - Josh Williams

'When we know how to enter deeply into the realm of the soul, we reach understanding of the harmony that exists between successive lives on earth and the whole of the physical world outside us.' - Rudolf Steiner In these eight lectures, given during the Great War as thousands of young men were being killed in battle, Rudolf Steiner - the great initiate of the twentieth century - describes the dramatic reality of the spiritual worlds encountered by human beings after death. He speaks of the joys and sufferings experienced in those worlds by people of different character; the vision of the 'ideal human being' that souls experience; the cosmic 'midnight hour'; the processes leading to rebirth in the world of the senses; the deeper causes behind such phenomena as materialism and criminality; and why, in the flesh, we lose our instinctive perception of the spiritual worlds. Steiner describes how knowledge of the spiritual realms, as well as the life beyond death and before birth, can be built on the foundations of modern science. Indeed, he speaks of mankind's involvement in science and its many achievements as necessary steps on the path towards a modern spirituality and true understanding of ... Unknown localization key: "more"

Objev podobné jako The Inner Nature of Man - Rudolf Steiner

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"

Objev podobné jako Getting Started with Natural Language Processing

We are entering a brave new world, thanks to AI. We must shape this future to the advantage of everyone, and not just a select few. Thinking with Machines: The Brave New World of AI tells the story of AI from its very beginnings through the eyes of Vasant Dhar, currently Robert A Miller Professor at the Stern School of Business, and Professor of Data Science at New York University. Professor Dhar lived through the invention of AI algorithms and their various permutations until today. He brought AI to Wall Street in the 90s and was the first to teach AI at NYU Stern. Through his story and the lessons that it reveals, we learn about AI’s progress and reversals, its promises and dangers, and what we need to address before the machine gets away from us. Thinking with Machines is essential reading for AI enthusiasts and learners at all levels seeking knowledge on the greatest technological advancement of our time.

Objev podobné jako Thinking With Machines - Vasant Dhar

For more than 75 years, high-hazard structures in the U.S., including dams and nuclear power plants, have been engineered to withstand floods resulting from the most unlikely but possible precipitation, termed Probable Maximum Precipitation (PMP). Failure of any one of the more than 16,000 high-hazard dams and 50 nuclear power plants in the United States could result in the loss of life and impose significant economic losses and widespread environmental damage, especially under the pressures of climate change. While PMP estimates have provided useful guidance for designing critical infrastructure, weaknesses in the scientific foundations of PMP, combined with advances in understanding, observing, and modeling extreme storms, call for fundamental changes to the definition of PMP and the methods used to estimate it. Modernizing Probable Maximum Precipitation Estimation recommends a new definition of PMP and presents a vision for a methodology relevant for design, operation, and regulation of critical infrastructure. The new definition targets precipitation depths with an extremely low exceedance probability instead of assuming rainfall is bounded, and considers specified climate periods so that PMP estimates can change as the climate changes. Near-term enhancements to PMP include improved data collection, model-based storm reconstructions, and strengthened scientific grounding for PMP methods. ... Unknown localization key: "more"

Objev podobné jako Modernizing Probable Maximum Precipitation Estimation - Engineering, and Medicine National Academies of Sciences, Division on Earth and Life Studies,

This second edition of Foundations of Python Network Programming targets Python 2.5 through Python 2.7, the most popular production versions of the language. Python has made great strides since Apress released the first edition of this book back in the days of Python 2.3. The advances required new chapters to be written from the ground up, and others to be extensively revised. You will learn fundamentals like IP, TCP, DNS and SSL by using working Python programs; you will also be able to familiarize yourself with infrastructure components like memcached and message queues. You can also delve into network server designs, and compare threaded approaches with asynchronous event-based solutions. But the biggest change is this edition''s expanded treatment of the web. The HTTP protocol is covered in extensive detail, with each feature accompanied by sample Python code. You can use your HTTP protocol expertise by studying an entire chapter on screen scraping and you can then test lxml and BeautifulSoup against a real-world web site. The chapter on web application programming now covers both the WSGI standard for component interoperability, as well as modern web frameworks like Django. Finally, all of the old favorites from the first edition are back: ... Unknown localization key: "more"

Objev podobné jako Foundations of Python Network Programming - Brandon Rhodes, Tim Bower, John Goerzen

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.

Objev podobné jako Foundational Python for Data Science - Kennedy Behrman

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.

Objev podobné jako Fast Python for Data Science - Tiago Antao

In today''s data-driven world, the ability to extract meaningful insights from vast datasets is crucial for success in various fields. This ultimate book for mastering open-source libraries of data science in Python equips you with the essential tools and techniques to navigate the ever-evolving field of data analysis and visualization. Discover how to use Python libraries like NumPy, Pandas, and Matplotlib for data manipulation, analysis, and visualization. This book also covers scientific computing with SciPy and integrates ChatGPT to boost your data science workflow. Designed for data scientists, analysts, and beginners, it offers a practical, hands-on approach to mastering data science fundamentals. With real-world applications and exercises, you will turn raw data into actionable insights, gaining a competitive edge. This book covers everything you need, including open-source libraries, Visual Explorer tools, and ChatGPT, making it a one-stop resource for Python-based data science.

Objev podobné jako Ultimate Data Science Programming in Python - Saurabh Chandrakar

This brilliant CGP book is the perfect no-nonsense guide for anyone who wants to learn Python. It contains clear notes on all the key programming skills - ideal for Python beginners, GCSE Computer Science students, and as an introduction to Python at A-Level. There are plenty of useful practice questions, fully-worked examples and coding challenges throughout, with full answers included at the back of the book. We've even added over 250 downloadable files covering different areas of Python - they're just the ticket for anyone looking for practical, on-screen practice. If that wasn't enough, there are video solutions to walk you through some of the coding challenges and we've also included a free Online Edition of the entire book - just use the unique code printed inside the cover to gain access. Don't miss our matching Python Programming Cards (9781837741380) to become a real Python pro!

Objev podobné jako Python Programming Guide for GCSE Computer Science with Online Edition, Python Files & Videos - CGP Books

While data science is powering most modern organisations its technical intricacies often remain confined to a select few.This book is for those starting to work within this field to give them the foundations on which to build their confidence and understanding. Allowing them to contribute to projects through making decisions and acting on them. Written in an accessible manner, Data Science Foundations provides explanations of complex concepts and methods in layman’s terms supported by examples. It also includes a holistic view of data science covering the technical, ethical and delivery challenges illustrated by case studies.Aligned with industry-recognised qualifications, this is the definitive guide for aspiring data scientists, providing a solid foundation in data analysis techniques.

Objev podobné jako Data Science Foundations - Ian Huke, Stephen Mariadas

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

Objev podobné jako Beginning Programming with Python For Dummies - John Paul Mueller

This series supports learners through the Cambridge IGCSE™ and O Level Computer Science syllabuses (0478/0984/2210). Develop skills and confidence with our programming book for Python. Created to support students undertaking the Cambridge IGCSE™ and O Level Computer Science syllabuses, this resource provides tailored support when programming with Python. A three-tiered approach to programming tasks across the book provides scaffolded support for students of all levels of understanding. Answers are accessible in the ''Solutions'' chapter in the digital part of the resource on the Cambridge GO platform, enabling students to practise their programming skills in class or at home.

Objev podobné jako Cambridge IGCSEâ„¢ and O Level Computer Science Programming Book for Python with Digital Access (2 Years) - Chris Roffey

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

Objev podobné jako Python for Data Analysis 3e - Wes McKinney

For courses in Python programming. A clear and student-friendly introduction to Python Starting Out with Python® introduces programming concepts and problem-solving skills using Tony Gaddis'' accessible approach. Control structures are discussed before classes to familiarize new programmers with the fundamentals. Every chapter includes easy-to-read code listings, practical examples, and application exercises to help students gain confidence in their skills and learn to recognize the logic of developing high-quality programs. The 6th Edition is thoroughly updated with new language features and functionality for versions of Python up through Python 3.9. Hallmark features of this title Student-friendly presentation Written for novice programmers, Gaddis uses easy-to-understand language to introduce concepts. Control structures are explained, then classes and GUI applications. Optional turtle graphics sections are extremely effective at teaching the procedural steps of programming to beginners. Student-focused features Hundreds of example programs explore specific topics or more involved problem solving. Students can run the programs themselves using the source code. In the Spotlight case studies analyze how to solve a programming problem in step-by-step detail. Checkpoints and review questions let students test their understanding at regular intervals. Programming exercises offer hands-on practice opportunities at the end of each chapter. New and updated features of ... Unknown localization key: "more"

Objev podobné jako Starting Out with Python, Global Edition - Tony Gaddis

The Faber Book of Science introduces hunting spiders and black holes, gorillas and stardust, protons, photons and neutrinos. In his acclaimed anthology, John Carey plots the development of modern science from Leonardo da Vinci to Chaos Theory. The emphasis is on the scientists themselves and their own accounts of their breakthroughs and achievements. The classic science-writers are included - Darwin, T.H. Huxley and Jean Henri Fabre tracking insects through the Provencal countryside. So too are today''s experts - Steve Jones on the Human Genome Project, Richard Dawkins on DNA and many other representatives of the contemporary genre of popular science-writing which, John Carey argues, challenges modern poetry and fiction in its imaginative power.

Objev podobné jako The Faber Book of Science - Professor John Carey

Data Science for Business with R, written by Jeffrey S. Saltz and Jeffrey M. Stanton, focuses on the concepts foundational for students starting a business analytics or data science degree program. To keep the book practical and applied, the authors feature a running case using a global airline business’s customer survey dataset to illustrate how to turn data in business decisions, in addition to numerous examples throughout. To aid in usability beyond the classroom, the text features full integration of freely-available R and RStudio software, one of the most popular data science tools available. Designed for students with little to no experience in related areas like computer science, the book chapters follow a logical order from introduction and installation of R and RStudio, working with data architecture, undertaking data collection, performing data analysis, and transitioning to data archiving and presentation. Each chapter follows a familiar structure, starting with learning objectives and background, following the basic steps of functions alongside simple examples, applying these functions to the case study, and ending with chapter challenge questions, sources, and a list of R functions so students know what to expect in each step of their data science course. Data Science for Business with ... Unknown localization key: "more"

Objev podobné jako Data Science for Business With R - Jeffrey Morgan Stanton, Jeffrey S. Saltz

This title is a Pearson Global Edition. The Editorial team at Pearson has worked closely with educators around the world to include content which is especially relevant to students outside the United States. For undergraduate corporate finance courses. The five key principles for the foundations of finance Foundations of Finance retains its foundational approach to the key concepts of finance, bolstered by real-world vignettes, cases, and problem exercises. Utilizing five principles, which are presented at the beginning of the book and applied throughout, the authors introduce a multi-step approach to financial problem solving that appeals to students’ (at all levels) math and numerical skills. As with previous editions, the 10th Edition, Global Edition focuses on valuation and opens every chapter with a vignette based on financial decisions faced by contemporary, real-world companies and firms. Revised and updated, the text features new lecture videos, financial thinking, user feedback, and changes inspired by the passage of the Tax Cuts and Jobs Act of 2017 in the United States of America, so students are well equipped to effectively deal with financial problems in an ever-changing financial environment. MyLab Finance is not included. Students, if MyLab Finance is a recommended/mandatory component of the course, ... Unknown localization key: "more"

Objev podobné jako Foundations of Finance, Global Edition - John Martin, Arthur Keown, J. Petty

On publication in 2009 John Hattie’s Visible Learning presented the biggest ever collection of research into what actually work in schools to improve children’s learning. Not what was fashionable, not what political and educational vested interests wanted to champion, but what actually produced the best results in terms of improving learning and educational outcomes. It became an instant bestseller and was described by the TES as revealing education’s ‘holy grail’. Now in this latest book, John Hattie has joined forces with cognitive psychologist Greg Yates to build on the original data and legacy of the Visible Learning project, showing how it’s underlying ideas and the cutting edge of cognitive science can form a powerful and complimentary framework for shaping learning in the classroom and beyond.Visible Learning and the Science of How We Learn explains the major principles and strategies of learning, outlining why it can be so hard sometimes, and yet easy on other occasions. Aimed at teachers and students, it is written in an accessible and engaging style and can be read cover to cover, or used on a chapter-by-chapter basis for essay writing or staff development. The book is structured in three parts – ‘learning within classrooms’, ‘learning ... Unknown localization key: "more"

Objev podobné jako Visible Learning and the Science of How We Learn - John Hattie, Gregory C. R. Yates

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.

Objev podobné jako Statistical Analysis with Python For Dummies - Joseph Schmuller

Doing Math with Python shows you how to use Python to delve into high school level math topics like statistics, geometry, probability, and calculus. You ll start with simple projects, like a factoring program and a quadratic-equation solver, and then create more complex projects once you ve gotten the hang of things. Along the way, you ll discover new ways to explore math and gain valuable programming skills that you ll use throughout your study of math and computer science. Learn how to: Describe your data with statistics, and visualize it with line graphs, bar charts, and scatter plots Explore set theory and probability with programs for coin flips, dicing, and other games of chance Solve algebra problems using Python s symbolic math functions Draw geometric shapes and explore fractals like the Barnsley fern, the Sierpinski triangle, and the Mandelbrot set Write programs to find derivatives and integrate functions Creative coding challenges and applied examples help you see how you can put your new math and coding skills into practice. You ll write an inequality solver, plot gravity s effect on how far a bullet will travel, shuffle a deck of cards, estimate the area of a circle by throwing ... Unknown localization key: "more"

Objev podobné jako Doing Math with Python - Amit Saha

Foundations of Digital Art and Design, Second Edition Fuses design fundamentals and software training into one cohesive approach! All students of digital design and production–whether learning in a classroom or on their own–need to understand the basic principles of design. These principles are often excluded from books that teach software. Foundations of Digital Art and Design reinvigorates software training by integrating design exercises into tutorials that fuse design fundamentals and core Adobe Creative Cloud skills. The result is a comprehensive design learning experience organized into five sections that focus on vector art, photography, image manipulation, typography, and effective work habits for digital artists. Design topics and principles include: Bits, Dots, Lines, Shapes, Unity, Rule of Thirds, Zone System, Color Models, Collage, Appropriation, Gestalt, The Bauhaus Basic Course Approach, Continuity, Automation, and Revision. This book: Teaches art and design principles with references to contemporary digital art alongside digital tools and processes in Adobe Creative Cloud Addresses the growing trend of compressing design fundamentals and design software into the same course in universities and design colleges Times each lesson to be used in 50 to 90-minute class sessions with additional practice materials available online Includes free video screencasts that demonstrate key concepts ... Unknown localization key: "more"

Objev podobné jako Foundations of Digital Art and Design with Adobe Creative Cloud - xtine burrough

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.

Objev podobné jako Artificial Intelligence Programming with Python - Perry Xiao

Al Sweigart''s classic coding book Automate the Boring Stuff with Python, now in its third edition, has taught more than half a million readers how to dispense with tedious tasks using the Python programming language. In this hands-on companion workbook, Sweigart gives those readers - and any Python programming beginner - hundreds of new ways to practice what they''ve learned. Through a wide variety of exercises, readers will test their understanding of programming concepts, face down tricky challenges, and explore use cases of common techniques. The workbook''s creative projects encourage readers to build games, animations, and digital tools, offering novel ways to think about Python''s applications in their everyday life. Covers Python 3.x and its ecosystem of third-party libraries.

Objev podobné jako Automate the Boring Stuff with Python Workbook - Al Sweigart

Understand the theory and implementation of simulation. This book covers simulation topics from a scenario-driven approach using Python and rich visualizations and tabulations. The book discusses simulation used in the natural and social sciences and with simulations taken from the top algorithms used in the industry today. The authors use an engaging approach that mixes mathematics and programming experiments with beginning-intermediate level Python code to create an immersive learning experience that is cohesive and integrated. After reading this book, you will have an understanding of simulation used in natural sciences, engineering, and social sciences using Python.What You''ll LearnUse Python and numerical computation to demonstrate the power of simulationChoose a paradigm to run a simulationDraw statistical insights from numerical experimentsKnow how simulation is used to solve real-world problems Who This Book Is ForEntry-level to mid-level Python developers from various backgrounds, including backend developers, academic research programmers, data scientists, and machine learning engineers. The book is also useful to high school students and college undergraduates and graduates with STEM backgrounds.

Objev podobné jako Simulation with Python - Aiichiro Nakano, Rongpeng Li

If you''ve ever spent hours renaming files or updating hundreds of spreadsheet cells, you know how tedious tasks like these can be. But what if you could have your computer do them for you? In this fully revised edition of the best-selling classic Automate the Boring Stuff with Python, you''ll learn how to use Python to write programs that do in minutes what would take you hours to do by hand - no prior programming experience required. You''ll learn the basics of coding in Python and explore the language''s rich library of modules for performing specific tasks, like scraping data from websites, searching for text across multiple files, and merging, watermarking, or encrypting PDFs. The third edition includes: Expanded coverage of developer techniques, like creating command line programs; Updated examples and new projects; Additional chapters about working with SQLite databases, speech-recognition technology, video and audio editing, and text-to-speech capabilities; Simplified explanations (based on reader feedback) of beginner programming concepts, like loops and conditionals. Even if you''ve never written a line of code, Automate the Boring Stuff with Python, 3rd Edition will teach you how to make your computer take on tedious tasks and do all your grunt work - the ... Unknown localization key: "more"

Objev podobné jako Automate the Boring Stuff with Python, 3rd Edition - Al Sweigart

Coding with Python – Create Amazing Graphics introduces coding in Python through a variety of projects. Each one teaches new coding concepts and results in some amazing graphics.Python is a powerful, text-based programming language essential to grasp for serious coding but can be dull to learn. This book focuses on inspired learning. Step-by-step, it illustrates how to use Python code to create exciting and colourful graphics — making learning Python great fun!Learn Python code to:Use random numbers to create unique artworkMix colours together using variables to create amazing effectsUse loops to repeat your code and create intricate patternsCode your own functions and build up your own designs

Objev podobné jako Coding with Python - Create Amazing Graphics - Max Wainewright