foundational python for data science kennedy behrman

Data science and machine learningâ ”two of the world s hottest fieldsâ ”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 moreâ ”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

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

Learn how to use R to turn data into insight, knowledge, and understanding. Ideal for current and aspiring data scientists, this book introduces you to doing data science with R and RStudio, as well as the tidyverse-a collection of R packages designed to work together to make data science fast, fluent, and fun. Even if you have no programming experience, this updated edition will have you doing data science quickly.You ll learn how to import, transform, and visualize your data and communicate the results. And you ll get a complete, big-picture understanding of the data science cycle and the basic tools you need to manage the details. Each section in this edition includes exercises to help you practice what you ve learned along the way.Updated for the latest tidyverse best practices, new chapters dive deeper into visualization and data wrangling, show you how to get data from spreadsheets, databases, and websites, and help you make the most of new programming tools. You ll learn how to:Visualize-create plots for data exploration and communication of resultsTransform-discover types of variables and the tools you can use to work with themImport-get data into R and in a form convenient for analysisProgram-learn R tools for solving data problems with greater clarity and easeCommunicate-integrate prose, code, and results with Quarto

Objev podobné jako R for Data Science - Grolemund Garrett, Hadley Wickham, Mine Cetinkaya-Rundel

When you know the cause of an event, you can affect its outcome. This accessible introduction to causal inference shows you how to determine causality and estimate effects using statistics and machine learning.In Causal Inference for Data Science you will learn how to: Model reality using causal graphs Estimate causal effects using statistical and machine learning techniques Determine when to use A/B tests, causal inference, and machine learning Explain and assess objectives, assumptions, risks, and limitations Determine if you have enough variables for your analysis It s possible to predict events without knowing what causes them. Understanding causality allows you both to make data-driven predictions and also intervene to affect the outcomes. Causal Inference for Data Science shows you how to build data science tools that can identify the root cause of trends and events. You ll learn how to interpret historical data, understand customer behaviors, and empower management to apply optimal decisions.

Objev podobné jako Causal Inference for Data Science - Aleix de Villa

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 world s most powerful, popular programming languages. You ll be a Python programmer. This Book Is Perfect For Total beginners with zero programming experience Junior developers who know one or two languages Returning professionals who haven t written code in years Aspiring Data Scientists or academics who need to learn to code Seasoned professionals looking for a fast, simple crash course in Python for Data Science Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.

Objev podobné jako Learn Python the Hard Way - Zed Shaw

The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. These topics are traditionally taught in disparate courses, making it hard for data science or computer science students, or professionals, to efficiently learn the mathematics. This self-contained textbook bridges the gap between mathematical and machine learning texts, introducing the mathematical concepts with a minimum of prerequisites. It uses these concepts to derive four central machine learning methods: linear regression, principal component analysis, Gaussian mixture models and support vector machines. For students and others with a mathematical background, these derivations provide a starting point to machine learning texts. For those learning the mathematics for the first time, the methods help build intuition and practical experience with applying mathematical concepts. Every chapter includes worked examples and exercises to test understanding. Programming tutorials are offered on the book s web site.

Objev podobné jako Mathematics for Machine Learning - A. Aldo Faisal, Marc Peter Deisenroth, Cheng Soon Ong

Working scientists and data crunchers familiar with reading and writing Python code will find the second edition of this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models.

Objev podobné jako Python Data Science Handbook - Jake Vanderplas

A rock-n-roll thrill ride⠦ Heavy Metal icon Rikki Thunder⠙s satirical memoir is sweeter than Cherry Pie and better than a prescription from Dr. Feelgood! You need to read it.⠝⠔Ernest ClineIt⠙s Los Angeles, 1986, and metal rules the world. For aspiring drummer Rikki Thunder, life is good⠔even if he is sleeping in a condemned paint store and playing with a band that⠙s going nowhere. But when he gets a shot to join L.A.⠙s hottest up-and-coming band, Whyte Python, Rikki⠙s young life turns up to 11. Soon he has a hit single scorching up the charts, and the new love of his life in the audience. Rikki couldn⠙t ask for anything more.But good fortune can be deceiving. With the Cold War breathing its last gasps and American music blasting through the Iron Curtain, a youth revolution is taking hold⠔and a hair band is unknowingly playing host to the final battle for the hearts and minds of the Eastern Bloc. Rikki Thunder soon realizes there is a deeper web of influence propelling Whyte Python, and the stakes for his mission⠔to spread peace, love, and epic shredding across the globe⠔are far more dangerous than he could ever imagine.

Objev podobné jako The Whyte Python World Tour - Travis Kennedy

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 thereâ ™s no better way to get started in computer programming than this friendly guide. Youâ ™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 todayâ ™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 startedâ ”the easy way.Â

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

An ideal textbook for complete beginnersâ ”teaches from scratch R, statistics, and the fundamentals of quantitative social scienceData Analysis for Social Science provides a friendly introduction to the statistical concepts and programming skills needed to conduct and evaluate social scientific studies. Assuming no prior knowledge of statistics and coding and only minimal knowledge of math, the book teaches the fundamentals of survey research, predictive models, and causal inference while analyzing data from published studies with the statistical program R. It teaches not only how to perform the data analyses but also how to interpret the results and identify the analysesâ ™ strengths and limitations. Progresses by teaching how to solve one kind of problem after another, bringing in methods as needed. It teaches, in this order, how to (1) estimate causal effects with randomized experiments, (2) visualize and summarize data, (3) infer population characteristics, (4) predict outcomes, (5) estimate causal effects with observational data, and (6) generalize from sample to population. Flips the script of traditional statistics textbooks. It starts by estimating causal effects with randomized experiments and postpones any discussion of probability and statistical inference until the final chapters. This unconventional order engages students by demonstrating from the very beginning how data analysis can be used to answer interesting questions, while reserving more abstract, complex concepts for later chapters. Provides a step-by-step guide to analyzing real-world data using the powerful, open-source statistical program R, which is free for everyone to use. The datasets are provided on the bookâ ™s website so that readers can learn how to analyze data by following along with the exercises in the book on their own computer. Assumes no prior knowledge of statistics or coding. Specifically designed to accommodate students with a variety of math backgrounds. It includes supplemental materials for students with minimal knowledge of math and clearly identifies sections with more advanced material so that readers can skip them if they so choose. Provides cheatsheets of statistical concepts and R code. Comes with instructor materials (upon request), including sample syllabi, lecture slides, and additional replication-style exercises with solutions and with the real-world datasets analyzed. Looking for a more advanced introduction? Consider Quantitative Social Science by Kosuke Imai. In addition to covering the material in Data Analysis for Social Science, it teaches diffs-in-diffs models, heterogeneous effects, text analysis, and regression discontinuity designs, among other things.

Objev podobné jako Data Analysis for Social Science - Kosuke Imai, Elena Llaudet

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

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.

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

To succeed in AI and data science, you must first master APIs. API skills are essential for AI and data science success. With this book, data scientists and software developers will gain hands-on experience developing and using APIs with the Python programming language and popular frameworks like FastAPI and StreamLit.

Objev podobné jako Hands-On APIs for AI and Data Science - Ryan Day

Science, engineering, and technology permeate nearly every facet of modern life and hold the key to solving many of humanity s most pressing current and future challenges. The United States position in the global economy is declining, in part because U.S. workers lack fundamental knowledge in these fields. To address the critical issues of U.S. competitiveness and to better prepare the workforce, A Framework for K-12 Science Education proposes a new approach to K-12 science education that will capture students interest and provide them with the necessary foundational knowledge in the field. A Framework for K-12 Science Education outlines a broad set of expectations for students in science and engineering in grades K-12. These expectations will inform the development of new standards for K-12 science education and, subsequently, revisions to curriculum, instruction, assessment, and professional development for educators. This book identifies three dimensions that convey the core ideas and practices around which science and engineering education in these grades should be built. These three dimensions are: crosscutting concepts that unify the study of science through their common application across science and engineering; scientific and engineering practices; and disciplinary core ideas in the physical sciences, life sciences, and earth and space sciences and for engineering, technology, and the applications of science. The overarching goal is for all high school graduates to have sufficient knowledge of science and engineering to engage in public discussions on science-related issues, be careful consumers of scientific and technical information, and enter the careers of their choice. A Framework for K-12 Science Education is the first step in a process that can inform state-level decisions and achieve a research-grounded basis for improving science instruction and learning across the country. The book will guide standards developers, teachers, curriculum designers, assessment developers, state and district science administrators, and educators who teach science in informal environments. Table of ContentsFront MatterSummaryPART I: A Vision for K-12 Science Education1 A New Conceptual Framework2 Guiding Assumptions and Organization of the FrameworkPART II: Dimensions of the Framework3 Dimension 1: Scientific and Engineering Practices4 Dimension 2: Crosscutting Concepts5 Dimension 3: Disciplinary Core Ideas - Physical Sciences6 Dimension 3: Disciplinary Core Ideas - Life Sciences7 Dimension 3: Disciplinary Core Ideas - Earth and Space Sciences8 Dimension 3: Disciplinary Core Ideas - Engineering, Technology, and Applications of SciencePART III: Realizing the Vision9 Integrating the Three Dimensions10 Implementation: Curriculum, Instruction, Teacher Development, and Assessment11 Equity and Diversity in Science and Engineering Education12 Guidance for Standards Developers13 Looking Toward the Future: Research and Development to Inform K-12 Science Education StandardsAPPENDIXESAppendix A: Summary of Public Feedback and Subsequent RevisionsAppendix B: Bibliography of References Consulted on Teaching and LearningAppendix C: Biographical Sketches of Committee Members and StaffAppendix D: Design Team MembersIndexPhoto Credits

Objev podobné jako A Framework for K-12 Science Education - National Research Council, Board on Science Education, Division of Behavioral and Social Sciences and Educati

This broad, deep, but not-too-technical guide introduces you to the fundamental principles of data science and walks you through the data-analytic thinking necessary for extracting useful knowledge and business value from the data you collect.

Objev podobné jako Data Science for Business - Foster Provost

Python Workout presents 50 exercises designed to deepen the reader⠙s skill with Python. Readers will not only tackle exercises using built-in data structures, but also more advanced techniques, such as functional programming, object-oriented programming, iterators, and generators. With each engaging challenge, readers will practice a new skill and learn how to apply it to everyday coding tasks. Key Features 50 hands-on exercises and solutions Basic Python sequence types Python dictionaries and sets Functional programming in Python Creating your own classes Working with Python objects Generator functions Intended for readers with basic Python skills. About the technology Python is a versatile, elegant, general purpose programming language. Essential for data analysis, web development, artificial intelligence, games, desktop apps, and more, Python skills are a hot commodity. Reuven M. Lerner, an independent consultant for more than two decades, teaches Python, data science, and Git to companies around the world. His Better developers newsletter and blog are read by thousands of Python developers each week. Reuven has written a monthly column, ⠜At the Forge,⠝ for Linux Journal since 1996 and is a panellist on the weekly Freelancers Show podcast. Reuven lives with his wife and three children in Modi⠙in, Israel, and can be reached at https://lerner.co.il/ or on Twitter at @reuvenmlerner.

Objev podobné jako Python Workout - Reuven Lerner

An intuitive guide for professionals wanting to prepare for the future of Microsoft Excel by building Python in Excel skills and unleashing the power of their data. A hands-on guide to the foundational Python in Excel skills youâ ™ll need to understand and use this powerful analytics tool, Python in Excel Step-by-Step is for current Excel users interested in expanding their data analysis skillset with Python. Analytics educator and Microsoft Excel MVP David Langer demonstrates how to use Python in Excel, tounlock new analytics capabilities in Excel, and build your foundation for the future of Excel: do-it-yourself (DIY) data science. The book leverages your existing Excel knowledge to learn the Python foundation you can apply right away. This is the same approach David has used to successfully teach more than 1,000 professionals Python â “ even if youâ ™ve never written code before. David also includes: Targeted coverage of the Python fundamentals required for analytics â “ learn just what you need fastHow to use the powerful pandas and plotnine libraries to facilitate data manipulation and visualization using Python in ExcelA DIY data science roadmap for you to build the skills you need to unleash the power of your data to have more impact at work Perfect for professionals use Microsoft Excel for data analysis, like marketing managers, financial analysts, and supply chain manager, Python in Excel Step-by-Step is an invaluable new resource for all business professionals who use Excel and want to build skills for Excelâ ™s AI-powered future.

Objev podobné jako Python in Excel Step-by-Step - David Langer

A fun and practical guide to learning Python with a special focus on data science, web scraping, and web applications In Unlocking Python: A Comprehensive Guide for Beginners, veteran software engineer, educator, and author Ryan Mitchell delivers an intuitive, engaging, and practical roadmap to Python programming. The author walks you through the vocabulary, tools, foundational knowledge, and occasional pop-culture references you ll need to hone your skills with this popular programming language. You ll learn how to install and run Python on your own machine, get up and coding with the language quickly, and best practices for programming both independently and in the workplace. You ll also find: Key concepts in computer and data science explained from the ground upAdvanced Python topics such as logging, unit testing, multiprocessing, and interacting with databases. Introductions to some of Python s most popular third-party libraries: Flask, Django, Scrapy, Scikit-Learn, Numpy, and PandasAmusing anecdotes from the trenches of industry Perfect for tech-savvy professionals at any stage of their careers who are interested in diving into Python programming. Unlocking Python is also a must-read for readers who work in a technical role but are interested in getting more directly involved with programming, as well as non-Python programmers who want to apply their technical skill to a new language.

Objev podobné jako Unlocking Python - Ryan Mitchell

See how an AI assistant can bring your ideas to life immediately! Once, to be a programmer you had to write every line of code yourself. Now tools like GitHub Copilot can instantly generate working programs based on your description in plain English. An instant bestseller, Learn AI-Assisted Python Programming has taught thousands of aspiring programmers how to write Python the easy wayâ ”with the help of AI. It s perfect for beginners, or anyone who s struggled with the steep learning curve of traditional programming. In Learn AI-Assisted Python Programming, Second Edition you ll learn how to: Write fun and useful Python applicationsâ ”no programming experience required! Use the GitHub Copilot AI coding assistant to create Python programs Write prompts that tell Copilot exactly what to do Read Python code and understand what it does Test your programs to make sure they work the way you want them to Fix code with prompt engineering or human tweaks Apply Python creatively to help out on the job AI moves fast, and so the new edition of Learn AI-Assisted Python Programming, Second Edition is fully updated to take advantage of the latest models and AI coding tools. Written by two esteemed computer science university professors, it teaches you everything you need to start programming Python in an AI-first world. You ll learn skills you can use to create working apps for data analysis, automating tedious tasks, and even video games. Plus, in this new edition, you ll find groundbreaking techniques for breaking down big software projects into smaller tasks AI can easily achieve. About the technology: The way people write computer programs has changed forever. Using GitHub Copilot, you describe in plain English what you want your program to do, and the AI generates it instantly.

Objev podobné jako Learn AI-Assisted Python Programming, Second Edition - Daniel Zingaro, Leo Porter

Business Intelligence, Analytics, Data Science, and AI is your guide to the business-related impact of artificial intelligence, data science and analytics, designed to prepare you for a managerial role. The text s vignettes and cases feature modern companies and non-profit organizations and illustrate capabilities, costs and justifications of BI across various business units. With coverage of many data science/AI applications, you ll explore tools, then learn from various organizations experiences employing such applications. Ample hands-on practice is provided, can be completed with a range of software, and will help you use analytics as a future manager. The 5th Edition integrates the fully updated content of Analytics, Data Science, and Artificial Intelligence, 11/e and Business Intelligence, Analytics, and Data Science, 4/e into one textbook, strengthened by 4 new chapters that will equip you for today s analytics and AI tech, such as ChatGPT. Examples explore analytics in sports, gaming, agriculture and ⠜data for good.⠝

Objev podobné jako Business Intelligence, Analytics, Data Science, and AI, Global Edition - Dursun Delen, Ramesh Sharda, Efraim Turban

Learn to code like a professional with Python â “ an open source, versatile, and powerful programming languageKey FeaturesLearn the fundamentals of programming with Python â “ one of the best languages ever createdDevelop a strong set of programming skills that you will be able to express in any situation, on every platform, thanks to Pythonâ ™s portabilityCreate outstanding applications of all kind, from websites to scripting, and from GUIs to data scienceBook DescriptionLearning Python has a dynamic and varied nature. It reads easily and lays a good foundation for those who are interested in digging deeper. It has a practical and example-oriented approach through which both the introductory and the advanced topics are explained. Starting with the fundamentals of programming and Python, it ends by exploring very different topics, like GUIs, web apps and data science. The book takes you all the way to creating a fully fledged application. The book begins by exploring the essentials of programming, data structures and teaches you how to manipulate them. It then moves on to controlling the flow of a program and writing reusable and error proof code. You will then explore different programming paradigms that will allow you to find the best approach to any situation, and also learn how to perform performance optimization as well as effective debugging. Throughout, the book steers you through the various types of applications, and it concludes with a complete mini website built upon all the concepts that you learned. What you will learnGet Python up and running on Windows, Mac, and Linux in no timeGrasp the fundamental concepts of coding, along with the basics of data structures and control flow. Write elegant, reusable, and efficient code in any situationUnderstand when to use the functional or the object oriented programming approachCreate bulletproof, reliable software by writing tests to support your codeExplore examples of GUIs, scripting, data science and web applicationsLearn to be independent, capable of fetching any resource you need, as well as dig deeperWho this book is forPython is the most popular introductory teaching language in U.S. top computer science universities, so if you are new to software development, or maybe you have little experience, and would like to start off on the right foot, then this language and this book are what you need. Its amazing design and portability will help you become productive regardless of the environment you choose to work with.

Objev podobné jako Learning Python - Fabrizio Romano

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.

Objev podobné jako Python for Excel Users - Tracy Stephens

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

This book attempts to advance Donald Griffin s vision of the final, crowning chapter of the Darwinian revolution by developing a philosophy for the science of animal consciousness. It advocates a Darwinian bottom-up approach that treats consciousness as a complex, evolved, and multidimensional phenomenon in nature rather than a mysterious all-or-nothing property immune to the tools of science and restricted to a single species.The so-called emergence of a science of consciousness in the 1990s has at best been a science of human consciousness. This book aims to advance a true Darwinian science of consciousness in which its evolutionary origin, function, and phylogenetic diversity are moved from the fieldÂ’s periphery to its very centre, thus enabling us to integrate consciousness into an evolutionary view of life. Accordingly, this book has two objectives: (i) to argue for the need and possibility of an evolutionary bottom-up approach that addresses the problem of consciousness in terms of the evolutionary origins of a new ecological lifestyle that made consciousness worth having and (ii) to articulate a thesis and beginnings of a theory of the place of consciousness as a complex evolved phenomenon in nature that can help us to answer the question of what it is like to be a bat, an octopus, or a crow.A Philosophy for the Science of Animal Consciousness will appeal to researchers and advanced students interested in advancing our understanding of animal minds as well as anyone with a keen interest in how we can develop a science of animal consciousness.

Objev podobné jako A Philosophy for the Science of Animal Consciousness - Walter Veith

Please note this title is suitable for any student studying:Exam Board: AQA Level: GCSE Subject: Biology for Combined Science (Trilogy)First teaching: September 2016 First exams: June 2018The UK s bestselling GCSE Science series is specifically tailored for the current AQA GCSE Science (9-1) specifications. This workbook is the perfect companion for use throughout the course, supporting students on their journey from KS3 to success at GCSE. Stretches and challenges students sitting the higher tier for AQA Combined Science: Trilogy GCSETopics follow the order of the Student Book, with carefully designed questions to help capture important notes as students work through the courseActivities help develop higher-order skills and deepen understanding of key conceptsIncludes questions and activities specifically focused on the required maths and practical skillsIncludes hints to help students answer difficult questionsChecklists help students to monitor their own progress

Objev podobné jako AQA GCSE Biology for Combined Science (Trilogy) Workbook: Higher - Gemma Young

Exam Board: AQALevel Subject: GCSE Combined Science: SynergyFirst teaching: September 2016 Next exams: June 2026AQA approvedThis book covers Unit 2 of the new 2016 GCSE Combined Science: Synergy course. The grouping of content follows that in the specification. Topic openers set the scene by providing a short overview of the links between the different chapters in a Topic. Linking questions between spreads and from chapter to chapter also help explain the narrative thread that links a Synergy topic together. Working Scientifically objectives linked to the AQA Combined Science: Synergy specification are identified, and questions addressing Working Scientifically skills embedded throughout.* Each spread is divided into three sections â “ starting with language, ideas and questions that are accessible to all and increasing in complexity to develop and practise ideas further.* Key concept spreads highlight core ideas that students must grasp before they can move on, and which will develop their understanding of the whole topic.* A dedicated spread for every required practical helps students analyse the practical, reflect on the science skills and knowledge they have developed and apply these skills to different contexts.* Maths skills spreads focus on the maths requirements of the AQA Combined Science specification, explaining concepts and providing opportunities to practise and apply maths in a relevant scientific context.* Throughout the book the questions become increasingly synoptic, helping students to draw together ideas from any part of Unit 2 in preparation for the terminal exams.* Higher-only content is clearly flagged so students can move seamlessly between tiers depending on their performance during the course.* End of chapter questions allow students to check that they have understood the ideas in the chapter and can apply these to new contexts. The questions are levelled in four sections of increasing demand. Questions on Higher-only content are also clearly flagged.

Objev podobné jako AQA GCSE Physical Sciences for Combined Science: Synergy 9-1 Student Book - Katy Bloom

Exam Board: AQALevel Subject: GCSE Combined Science: SynergyFirst teaching: September 2016 Next exams: June 2026AQA approvedThis book covers Unit 1 of the new 2016 GCSE Combined Science: Synergy course. The grouping of content follows that in the specification. Topic openers set the scene by providing a short overview of the links between the different chapters in a Topic. Linking questions between spreads and from chapter to chapter also help explain the narrative thread that links a Synergy topic together. Working Scientifically objectives linked to the AQA Combined Science: Synergy specification are identified, and questions addressing Working Scientifically skills embedded throughout.* Each spread is divided into three sections â “ starting with language, ideas and questions that are accessible to all and increasing in complexity to develop and practise ideas further.* Key concept spreads highlight core ideas that students must grasp before they can move on, and which will develop their understanding of the whole topic.* A dedicated spread for every required practical helps students analyse the practical, reflect on the science skills and knowledge they have developed and apply these skills to different contexts.* Maths skills spreads focus on the maths requirements of the AQA Combined Science specification, explaining concepts and providing opportunities to practise and apply maths in a relevant scientific context.* Throughout the book the questions become increasingly synoptic, helping students to draw together ideas from any part of Unit 1 in preparation for the terminal exams.* Higher-only content is clearly flagged so students can move seamlessly between tiers depending on their performance during the course.* End of chapter questions allow students to check that they have understood the ideas in the chapter and can apply these to new contexts. The questions are levelled in four sections of increasing demand. Questions on Higher-only content are also clearly flagged.

Objev podobné jako AQA GCSE Life and Environmental Sciences for Combined Science: Synergy 9-1 Student Book - Katy Bloom, Gina Walker, Shaista Shirazi

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

Please note this title is suitable for any student studying:Exam Board: AQA Level: GCSE Subject: Chemistry for Combined Science (Trilogy) - Foundation tierFirst teaching: September 2016 First exams: June 2018The UK s bestselling GCSE Science series is specifically tailored for the current AQA GCSE Science (9-1) specifications. This workbook is the perfect companion for the series and supports students on their journey from KS3 to success at GCSE. Key features: - Additional support for Foundation students to help them succeed at GCSE- Topics follow the order of the Student Book, with carefully designed questions to help capture important notes as students work through the course - Plenty of engaging activities help consolidate learning and reinforce key concepts - Questions and activities specifically focused on the maths and practical skills required for the exam - I can checklists help students to monitor their own progress - What I need to remember to help students remember key concepts

Objev podobné jako AQA GCSE Chemistry for Combined Science (Trilogy) Workbook: Foundation - Philippa Gardom Hulme

This book provides insights into the true nature of financial and economic data, and is a practical guide on how to analyze a variety of data sources. The focus of the book is on finance and economics, but it also illustrates the use of quantitative analysis and data science in many different areas. Lastly, the book includes practical information on how to store and process data and provides a framework for data driven reasoning about the world.The book begins with entertaining tales from Graham Giller s career in finance, starting with speculating in UK government bonds at the Oxford Post Office, accidentally creating a global instant messaging system that went viral before anybody knew what that meant, on being the person who forgot to hit enter to run a hundred-million dollar statistical arbitrage system, what he decoded from his brief time spent with Jim Simons, and giving Michael Bloomberg a tutorial on Granger Causality.The majority of the content is a narrative of analytic work done on financial, economics, and alternative data, structured around both Dr Giller s professional career and some of the things that just interested him. The goal is to stimulate interest in predictive methods, to give accurate characterizations of the true properties of financial, economic and alternative data, and to share what Richard Feynman described as The Pleasure of Finding Things Out.

Objev podobné jako Adventures In Financial Data Science: The Empirical Properties Of Financial And Economic Data - Graham L Giller

If you struggle with binary multiplication, or Big O Notation, this is the book for you. This textbook companion will help improve your essential maths skills for computer science, whichever awarding body specification you re following. You can use it throughout your course, whenever you feel you need some extra help.- Develop your understanding of both maths and computer science with all worked examples and questions within a computer science context- Improve your confidence with a step-by-step approach to every maths skill- Measure your progress with guided and non-guided questions to see how you re improving- Understand where you re going wrong with full worked solutions to every question - Feel confident in expert guidance from experienced teachers and examiners Victoria Ellis and Gavin Craddock, reviewed by Dr Kathleen Maitland, Senior Lecturer in Computing and Director of the SAS Student Academy at Birmingham City University

Objev podobné jako Essential Maths Skills for AS/A Level Computer Science - Gavin Craddock, Victoria Ellis

The UK s bestselling GCSE Science series is specifically tailored for the current AQA GCSE Science (9-1) specifications. This workbook is the perfect companion for the series and supports students on their journey from KS3 to success at GCSE. Key features: - Additional support for Foundation students to help them succeed at GCSE- Topics follow the order of the Student Book, with carefully designed questions to help capture important notes as students work through the course - Plenty of engaging activities help consolidate learning and reinforce key concepts - Questions and activities specifically focused on the maths and practical skills required for the exam - I can checklists help students to monitor their own progress - What I need to remember to help students remember key concepts

Objev podobné jako AQA GCSE Physics for Combined Science (Trilogy) Workbook: Foundation - Reynolds Helen

Inspire a new generation of capable and curious scientists.This book will help build pupils understanding through clear explanations, practicals and skills-based activities, ensuring that they re ready for the next step in their learning and promoting a sense of cynefin through examples and contexts from all around Wales.- Improve working scientifically skills and prepare students for future lab work with practical skills and suggested activities highlighted throughout- Guide pupils through the trickier maths and literacy skills with key term definitions and worked examples with step-by-step solutions- Support a holistic approach with links between the what matters statements in the Science and Technology Area of Learning and Experience (AoLE)- Boost progress using summaries to recap prior knowledge, alongside Check your understanding questions to embed understanding- Develop pupils curiosity and interest in science with historical context and examples, including many from across Wales

Objev podobné jako Curriculum for Wales: Science for 11-14 years: Pupil Book 3 - Mark Edwards, Andrea Coates, Richard Grimmer, Michelle Austin

The maths needed to succeed in GCSE Science is harder now than ever before. Suitable for all awarding bodies, this practical handbook addresses all of the maths skills needed for GCSE Science specifications. Worked examples, practice questions, remember points and stretch yourself questions give students the key knowledge and then the opportunity to practise and build confidence. Answers are available to download at www.oxfordsecondary.co.uk/mathsskillsforscience.

Objev podobné jako Maths Skills for GCSE Science - Carol Tear

Please note this title is suitable for any student studying: Exam Board: AQA Level: GCSE Subject: Biology Combined First teaching: September 2016 First exams: June 2018 Specifically tailored for the current (2016) AQA GCSE Science (9-1) specifications, this book supports students on their journey from Key Stage 3 and through to success at GCSE. It includes support for the maths and practical requirements.

Objev podobné jako AQA GCSE Biology for Combined Science (Trilogy) Student Book

Please note this title is suitable for any student studying:Exam Board: AQALevel: GCSESubject: Chemistry CombinedFirst teaching: September 2016First exams: June 2018Specifically tailored for the current (2016) AQA GCSE Science (9-1) specifications, this book supports students on their journey from Key Stage 3 and through to success at GCSE. It includes support for the maths and practical requirements.

Objev podobné jako AQA GCSE Chemistry for Combined Science (Trilogy) Student Book - Lawrie Ryan

Please note this title is suitable for any student studying:Exam Board: AQALevel: GCSESubject: Physics CombinedFirst teaching: September 2016First exams: June 2018Specifically tailored for the current (2016) AQA GCSE Science (9-1) specifications, this book supports students on their journey from Key Stage 3 and through to success at GCSE. It includes support for the maths and practical requirements.

Objev podobné jako AQA GCSE Physics for Combined Science (Trilogy) Student Book - Jim Breithaupt

Judith Gersting s text has long been acclaimed for its clear presentation of essential concepts and it s exceptional range of applications relevant to computer science majors. The seventh edition contains over 200 new examples and exercises, updated to demonstrate the role that mathematics and computer science plays in a wide range of disciplines.

Objev podobné jako Mathematical Structures for Computer Science - Judith Gersting

This Foundation Workbook is designed to support the development of key literacy and numeracy skills of students in the 1-3 grade range, as well as building confidence in answering open response questions. The amount of scaffolded support decreases throughout the workbook to encourage independent learning.- Summarises all the Foundation content to be learned for each topic- Provides plenty of practice questions- Builds confidence by showing how to answer questions or work through calculations- Helps students to improve their answers by focusing on use of key scientific vocabulary, how to link key concepts, and work with graphsEach topic opens with a bulleted summary of the key ideas, reminding students of the key scientific vocabulary and equations they should be able to recall. The questions begin with confidence-building, low demand questions (multiple choice, matching, sentence completion or closed short answer) leading to more open questions including calculations as part of structured questions. The questions include applying and analysing as well as recall, for example bringing in skills used in analysing results from practical work.Frequent support notes provide hints and tips on key vocabulary, how to answer open response questions (for example by writing causal explanations), strategies for decoding questions (for example by identifying key words in the question) and how to interpret information from tables and graphs.â ˜Show meâ ™ writing frames demonstrate how to build longer answers, how to work with equations in science and how to convert units. In later pages the level of scaffolding is gradually reduced by removing the guided support so that students are supported in becoming independent learners throughout their GCSE course.

Objev podobné jako AQA GCSE 9-1 Biology for Combined Science Grade 1-3 Workbook - Liz Ouldridge

Using practical examples throughout the book, author Yves Hilpisch also shows you how to develop a full-fledged framework for Monte Carlo simulation-based derivatives and risk analytics, based on a large, realistic case study. Much of the book uses interactive IPython Notebooks.

Objev podobné jako Python for Finance 2e - Yves Hilpisch

Discover the fundamentals of data science and develop the skills you need for achieving success in this important sector.

Objev podobné jako Confident Data Science - Adam Ross Nelson

We are in an age of big data where all of our everyday interactions and transactions generate data. Much of this data is spatial ⠓ it is collected some-where ⠓ and identifying analytical insight from trends and patterns in these increasing rich digital footprints presents a number of challenges.Whilst other books describe different flavours of Data Analytics in R and other programming languages, there are none that consider Spatial Data (i.e. the location attached to data), or that consider issues of inference, linking Big Data, Geography, GIS, Mapping and Spatial Analytics. This is a ⠘learning by doing⠙ textbook, building on the previous book by the same authors, An Introduction to R for Spatial Analysis and Mapping. It details the theoretical issues in analyses of Big Spatial Data and developing practical skills in the reader for addressing these with confidence.

Objev podobné jako Geographical Data Science and Spatial Data Analysis - Chris Brunsdon, Lex Comber

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

Few people question the importance of science education in American schooling. The public readily accepts that it is the key to economic growth through innovation, develops the ability to reason more effectively, and enables us to solve the everyday problems we encounter through knowing how the world works. Good science teaching results in all these benefits and more -- or so we think. But what if all this is simply wrong? What if the benefits we assume science education produces turn out to be an illusion, nothing more than wishful thinking?In Why We Teach Science (and Why We Should), former high school teacher and historian of science education John L. Rudolph examines the reasons we ve long given for teaching science and assesses how they hold up to what we know about what students really learn (or don t learn) in science classrooms and what research tells us about how people actually interact with science in their daily lives. The results will surprise you. Instead of more and more rigorous traditional science education to fill the STEM pipeline, Rudolph challenges us to think outside the box and makes the case for an expansive science education aimed instead at rebuilding trust between science and the public -- something we desperately need in our current era of impending natural challenges and science denial.

Objev podobné jako Why We Teach Science - John L. Rudolph

Data is an integral part of our lives. It helps us to unlock hidden mysteries and even predict the future. The Expanding World of Data uncovers the world of data in a way that is accessible, engaging and thought-provoking, using colourful artwork, illustrations, comic strips, Speak like a Scientist and data hero sections. This book is the perfect resource for those curious minds who want to know more about data, what it is and what it does. Data can even help us to make the planet a better place.This title is one of an exciting series from Oxford, giving accessible introductions to the ideas, facts, and vocabulary behind an absorbing range of subjects. Meticulously researched and written by experts in their fields, curious young readers will quickly get to grips with the basic principles and terminology of each subject.Author Tom Jackson has been a writer for 25 years, written about 200 books and specializes in science and technology. Consultant Dr Bran Knowles is a Senior Lecturer in the Data Science Institute at Lancaster University where she leads the Data and Society theme.The Expanding World of Data is part of a wider collectible set. If you love this title, why not collect them all?

Objev podobné jako Very Short Introductions for Curious Young Minds: The Expanding World of Data - Tom Jackson

Explore the science innovations as you have never seen them with this visual guide. From the humble beginnings of science, right through to today s information age - go on a journey through the history of science through its people, inventions, and discoveries. This updated 3rd edition explores astronomy, biology, geology, mathematics, and more in stunning visual detail. Inside the pages of Science: The Definitive Visual History, you ll find: - The most recent scientific discoveries across a variety of fields, from astronomy to genetics - Scientific concepts explained using clear, instantly understandable text combined with informative diagrams and CGIs- Feature spreads that illuminate the breakthroughs that changed the world - Before and After panels allow the reader to follow a particular theme throughout the bookThis fully comprehensive visual guide delves into the groundbreaking moments in science that changed the world. Explore the experiments, theories, and individuals and why each is so significant to developing scientific thought from Greek geometry to quantum physics. This science book also includes great scientists such as Zhang Heng, Isaac Newton, and Marie Curie and gives you more information about the people behind each discovery. Updated to include the latest scientific developments, from recent advances in genetic engineering to the detection of gravitational waves 100 years after Einstein predicted their existence, Science is the ultimate gift for any science or history enthusiasts!

Objev podobné jako Science - DK

Very Short Introductions: Brilliant, Sharp, InspiringSocial science is the study of human behaviour. It offers the tools to understand and explain people s choices and actions, and how they live together in communities. With insights from social science, organisations and individuals may be persuaded to change their behaviour, making a difference in addressing societal challenges, from climate change to fighting pandemics and alleviating poverty. Social science can offer us the answers to key questions, such as why do some people gamble, eat unhealthy foods, or hold racist beliefs? How do families allocate household tasks, raise children effectively, or manage grief? How do companies weigh profit against environment sustainability, decide to invest in innovation, or adopt policies to address unequal pay between women and men? Why do countries sign international treaties, commit human rights atrocities, or transition from authoritarianism to democracy? Taking an interdisciplinary approach, this Very Short Introduction offers an accessible overview of social science, explaining how methods and theory from different disciplines can be applied and combined to address major global challenges. It aims to equip students, scholars, and practitioners to analyse, interpret, and undertake social science research. Drawing upon inspiring examples, it shows how social scientists can have real-world impact and change the world for the better. It unpacks cutting-edge themes such as behavioural science, human data science, and the ways in which social science can work collaboratively with the natural sciences and humanities. It offers a vision for the future of social science that is interdisciplinary, inclusive, and impactful. ABOUT THE SERIES: The Very Short Introductions series from Oxford University Press contains hundreds of titles in almost every subject area. These pocket-sized books are the perfect way to get ahead in a new subject quickly. Our expert authors combine facts, analysis, perspective, new ideas, and enthusiasm to make interesting and challenging topics highly readable.

Objev podobné jako Social Science - Alexander Betts

Acute, questioning, humane and passionately concerned for justice, Helena Kennedy is one of the most powerful voices in legal circles in Britain today. Here she roundly challenges the record of modern governments over the fundamental values of equality, fairness and respect for human dignity. She argues that in the last twenty years we have seen a steady erosion of civil liberties, culminating today in extraordinary legislation, which undermines long established freedoms. Are these moves a crude political response to demands for law and order? Or is the relationship between citizens and the state being covertly reframed and redefined?

Objev podobné jako Just Law - Helena Kennedy

Join the kids of the Science Club and discover the wonders of weather through a combination of adventure, activity and experiment in this fun, story-based series.It s the start of a new term at school and the weather is changing. It s a good time for the Science Club to investigate different types of weather and record how it changes through the year with their home-made weather station. The children also learn how and why Earth s climate is changing, and what they can all do to help to slow climate change, from turning down the heating to recycling their rubbish.The Science Club follows a group of science-mad kids who meet at a club where they learn about science through their own experiences and discoveries. For example, at one club someone brings in a fossil, leading to an investigation into the rock cycle, dinosaurs and fossil formation. At another, a storm inspires the children to learn about lightning and other forms of electricity. Each story features sweet, humorous illustrations and includes simple experiments for readers to try for themselves.Titles in the series:LightElectricityRocks FossilsStates of MatterForces MagnetsPlantsThe Human BodyHabitatsSoundWeather

Objev podobné jako The Science Club Investigates: Weather - Mary Auld

The Pearson Edexcel GCSE (9-1) Computer Science Student Book is aligned to the 2020 specification, bringing Computer Science to life with real-world examples, and providing support for the new practical on-screen assessment. The Pearson Edexcel GCSE (9-1) Computer Science 2020 Student Book offers: â ¢ plenty of practical activities for programming that follow the PRIMM pedagogy â ¢ real world examples and case studies of Computer Science in Action to help make the content relevant and inspiring to students â ¢ worked examples and activities using the PLS or â ˜Programming Language Subsetâ ™ (Python) for a simple and comprehensive approach to programming â ¢ simplified content to make it as accessible as possible. This Student Book also helps students with concise and productive exam preparation. This includes: â ¢ exam questions at the end of every section to consolidate knowledge â ¢ extensive Preparing for the exam material, including student answers and examiner commentary, plus example exam questions using only the Pearson Edexcel command words â ¢ data files to support the on-screen assessment, which can be found in the interactive scheme of work.

Objev podobné jako Pearson Edexcel (9-1) Computer Science Student Book (Edexcel GCSE Computer Science 2016) - Ann Weidmann, Cynthia Selby, David Waller