Catalogue - page 26

Affiche du document Carpenter's Complete Guide to the SAS Macro Language, Third Edition

Carpenter's Complete Guide to the SAS Macro Language, Third Edition

Art Carpenter

6h25min30

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514 pages. Temps de lecture estimé 6h25min.
For SAS programmers or analysts who need to generalize their programs or improve programming efficiency, Art Carpenter thoroughly updates his highly successful second edition of Carpenter's Complete Guide to the SAS Macro Language with an extensive collection of new macro language techniques and examples. Addressing the composition and operation of the SAS macro facility and the SAS macro language, this third edition offers nearly 400 ready-to-use macros, macro functions, and macro tools that enable you to convert SAS code to macros, define macro variables, and more! Users with a basic understanding of Base SAS who are new to the SAS macro language will find more detail, utilities, and references to additional learning opportunities; advanced macro language programmers who need help with data-driven macros and dynamic application development will find greatly expanded treatment of these topics. This revised and enlarged edition includes the following topics: New and expanded introduction to the macro language Functions, automatic macro variables, and macro statements new to the macro language Expanded macro language tools that interface with the operating system Expanded data-driven methodologies used to build dynamic applications Expanded discussion of list processing, with four alternative approaches presented Additional file and data management examples Expanded discussion of CALL EXECUTE and DOSUBL New discussion of using the macro language on remote servers Expanded discussion and examples of macro quoting Far beyond a reference manual issued from an “ivory tower,” this book is pragmatic and example-driven: Yes, you will find syntax examples; yes, the code is explained. But the focus of this book is on actual code used to solve real-world business problems. In fact, an entire appendix is dedicated to listing the nearly 70 classes of problems that are solved by programs covered in this edition. Discussion of the examples elucidates the pros and cons of the particular solution and often suggests alternative approaches. Therefore, this book provides you both a compendium of reusable and adaptable code, and opportunities for deepening your understanding and growing as a SAS programmer.
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Affiche du document Data Management and Analysis Using JMP

Data Management and Analysis Using JMP

Jane E Oppenlander

3h15min45

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261 pages. Temps de lecture estimé 3h16min.
A holistic, step-by-step approach to analyzing health care data! Written for both beginner and intermediate JMP users working in or studying health care, Data Management and Analysis Using JMP: Health Care Case Studies bridges the gap between taking traditional statistics courses and successfully applying statistical analysis in the workplace. Authors Jane Oppenlander and Patricia Schaffer begin by illustrating techniques to prepare data for analysis, followed by presenting effective methods to summarize, visualize, and analyze data. The statistical analysis methods covered in the book are the foundational techniques commonly applied to meet regulatory, operational, budgeting, and research needs in the health care field. This example-driven book shows practitioners how to solve real-world problems by using an approach that includes problem definition, data management, selecting the appropriate analysis methods, step-by-step JMP instructions, and interpreting statistical results in context. Practical strategies for selecting appropriate statistical methods, remediating data anomalies, and interpreting statistical results in the domain context are emphasized. The cases presented in Data Management and Analysis Using JMP use multiple statistical methods. A progression of methods--from univariate to multivariate--is employed, illustrating a logical approach to problem-solving. Much of the data used in these cases is open source and drawn from a variety of health care settings. The book offers a welcome guide to working professionals as well as students studying statistics in health care-related fields.
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Affiche du document Market Data Analysis Using JMP

Market Data Analysis Using JMP

Walter R. Paczkowski

9h13min30

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738 pages. Temps de lecture estimé 9h13min.
With the powerful interactive and visual functionality of JMP, you can dynamically analyze market data to transform it into actionable and useful information with clear, concise, and insightful reports and displays. Market Data Analysis Using JMP is a unique example-driven book because it has a specific application focus: market data analysis. A working knowledge of JMP will help you turn your market data into vital knowledge that will help you succeed in a highly competitive, fast-moving, and dynamic business world. This book can be used as a stand-alone resource for working professionals, or as a supplement to a business school course in market data research. Anyone who works with market data will benefit from reading and studying this book, then using JMP to apply the dynamic analytical concepts to their market data. After reading this book, you will be able to quickly and effortlessly use JMP to: prepare market data for analysis use and interpret sophisticated statistical methods build choice models estimate regression models to turn data into useful and actionable information Market Data Analysis Using JMP will teach you how to use dynamic graphics to illustrate your market data analysis and explore the vast possibilities that your data can offer!
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Affiche du document JMP Essentials

JMP Essentials

Curt Hinrichs

3h23min15

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271 pages. Temps de lecture estimé 3h23min.
Grasp the essentials of JMP to generate rapid results. JMP Essentials: An Illustrated Guide for New Users, Third Edition, is designed for new or novice JMP users who need to generate meaningful analysis quickly. The book focuses on the most commonly used platforms and typical workflow of the user, from data importing, exploring, and visualizing to modeling and sharing results with others. Throughout the book, the authors emphasize results over theory, providing just the essential steps with corresponding screenshots. In most cases, each section completes a JMP task, which maximizes the book’s utility as a reference. This edition has new instructions and screenshots reflecting the features added to the latest release of JMP software, including updated sections on JMP Dashboard Builder, Query Builder, the Fit Model platform, JMP Public and JMP Live, and a more detailed look at the JMP website. Each chapter contains a family of features that are carefully crafted to first introduce you to basic features and then move on to more advanced topics. JMP Essentials: An Illustrated Guide for New Users, Third Edition, is the quickest and most accessible reference book available.
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Affiche du document Cody's Data Cleaning Techniques Using SAS, Third Edition

Cody's Data Cleaning Techniques Using SAS, Third Edition

Ron Cody

2h43min30

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218 pages. Temps de lecture estimé 2h43min.
Find errors and clean up data easily using SAS! Thoroughly updated, Cody's Data Cleaning Techniques Using SAS, Third Edition, addresses tasks that nearly every data analyst needs to do - that is, make sure that data errors are located and corrected. Written in Ron Cody's signature informal, tutorial style, this book develops and demonstrates data cleaning programs and macros that you can use as written or modify which will make your job of data cleaning easier, faster, and more efficient. Building on both the author’s experience gained from teaching a data cleaning course for over 10 years, and advances in SAS, this third edition includes four new chapters, covering topics such as the use of Perl regular expressions for checking the format of character values (such as zip codes or email addresses) and how to standardize company names and addresses. With this book, you will learn how to: find and correct errors in character and numeric values develop programming techniques related to dates and missing values deal with highly skewed data develop techniques for correcting your data errors use integrity constraints and audit trails to prevent errors from being added to a clean data set
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Affiche du document SAS for Forecasting Time Series, Third Edition

SAS for Forecasting Time Series, Third Edition

John C. Brocklebank

3h27min00

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276 pages. Temps de lecture estimé 3h27min.
To use statistical methods and SAS applications to forecast the future values of data taken over time, you need only follow this thoroughly updated classic on the subject. With this third edition of SAS for Forecasting Time Series, intermediate-to-advanced SAS users—such as statisticians, economists, and data scientists—can now match the most sophisticated forecasting methods to the most current SAS applications. Starting with fundamentals, this new edition presents methods for modeling both univariate and multivariate data taken over time. From the well-known ARIMA models to unobserved components, methods that span the range from simple to complex are discussed and illustrated. Many of the newer methods are variations on the basic ARIMA structures. Completely updated, this new edition includes fresh, interesting business situations and data sets, and new sections on these up-to-date statistical methods: ARIMA models Vector autoregressive models Exponential smoothing models Unobserved component and state-space models Seasonal adjustment Spectral analysis Focusing on application, this guide teaches a wide range of forecasting techniques by example. The examples provide the statistical underpinnings necessary to put the methods into practice. The following up-to-date SAS applications are covered in this edition: The ARIMA procedure The AUTOREG procedure The VARMAX procedure The ESM procedure The UCM and SSM procedures The X13 procedure The SPECTRA procedure SAS Forecast Studio Each SAS application is presented with explanation of its strengths, weaknesses, and best uses. Even users of automated forecasting systems will benefit from this knowledge of what is done and why. Moreover, the accompanying examples can serve as templates that you easily adjust to fit your specific forecasting needs. This book is part of the SAS Press program.
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Affiche du document Learning SAS by Example

Learning SAS by Example

Ron Cody

5h13min30

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418 pages. Temps de lecture estimé 5h13min.
Learn to program SAS by example! Learning SAS by Example: A Programmer’s Guide, Second Edition, teaches SAS programming from very basic concepts to more advanced topics. Because most programmers prefer examples rather than reference-type syntax, this book uses short examples to explain each topic. The second edition has brought this classic book on SAS programming up to the latest SAS version, with new chapters that cover topics such as PROC SGPLOT and Perl regular expressions. This book belongs on the shelf (or e-book reader) of anyone who programs in SAS, from those with little programming experience who want to learn SAS to intermediate and even advanced SAS programmers who want to learn new techniques or identify new ways to accomplish existing tasks. In an instructive and conversational tone, author Ron Cody clearly explains each programming technique and then illustrates it with one or more real-life examples, followed by a detailed description of how the program works. The text is divided into four major sections: Getting Started, DATA Step Processing, Presenting and Summarizing Your Data, and Advanced Topics. Subjects addressed include Reading data from external sources Learning details of DATA step programming Subsetting and combining SAS data sets Understanding SAS functions and working with arrays Creating reports with PROC REPORT and PROC TABULATE Getting started with the SAS macro language Leveraging PROC SQL Generating high-quality graphics Using advanced features of user-defined formats and informats Restructuring SAS data sets Working with multiple observations per subject Getting started with Perl regular expressions You can test your knowledge and hone your skills by solving the problems at the end of each chapter.
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Affiche du document SAS Viya

SAS Viya

Kevin D. Smith

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185 pages. Temps de lecture estimé 2h19min.
Learn how to access analytics from SAS Cloud Analytic Services (CAS) using Python and the SAS Viya platform. SAS Viya : The Python Perspective is an introduction to using the Python client on the SAS Viya platform. SAS Viya is a high-performance, fault-tolerant analytics architecture that can be deployed on both public and private cloud infrastructures. While SAS Viya can be used by various SAS applications, it also enables you to access analytic methods from SAS, Python, Lua, and Java, as well as through a REST interface using HTTP or HTTPS. This book focuses on the perspective of SAS Viya from Python. SAS Viya is made up of multiple components. The central piece of this ecosystem is SAS Cloud Analytic Services (CAS). CAS is the cloud-based server that all clients communicate with to run analytical methods. The Python client is used to drive the CAS component directly using objects and constructs that are familiar to Python programmers. Some knowledge of Python would be helpful before using this book; however, there is an appendix that covers the features of Python that are used in the CAS Python client. Knowledge of CAS is not required to use this book. However, you will need to have a CAS server set up and running to execute the examples in this book. With this book, you will learn how to: Install the required components for accessing CAS from Python Connect to CAS, load data, and run simple analyses Work with CAS using APIs familiar to Python users Grasp general CAS workflows and advanced features of the CAS Python client SAS Viya : The Python Perspective covers topics that will be useful to beginners as well as experienced CAS users. It includes examples from creating connections to CAS all the way to simple statistics and machine learning, but it is also useful as a desktop reference.
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Affiche du document Applied Econometrics with SAS

Applied Econometrics with SAS

Barry K. Goodwin

1h51min00

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148 pages. Temps de lecture estimé 1h51min.
Using Applied Econometrics with SAS: Modeling Demand, Supply, and Risk, you will quickly master SAS applications for implementing and estimating standard models in the field of econometrics. This guide introduces you to the major theories underpinning applied demand and production economics. For each of its three main topics—demand, supply, and risk—a concise theoretical orientation leads directly into consideration of specific economic models and econometric techniques, collectively covering the following: Double-log demand systems Linear expenditure systems Almost ideal demand systems Rotterdam models Random parameters logit demand models Frequency-severity models Compound distribution models Cobb-Douglas production functions Translogarithmic cost functions Generalized Leontief cost functions Density estimation techniques Copula models SAS procedures that facilitate estimation of demand, supply, and risk models include the following, among others: PROC MODEL PROC COPULA PROC SEVERITY PROC KDE PROC LOGISTIC PROC HPCDM PROC IML PROC REG PROC COUNTREG PROC QLIM An empirical example, SAS programming code, and a complete data set accompany each econometric model, empowering you to practice these techniques while reading. Examples are drawn from both major scholarly studies and business applications so that professors, graduate students, government economic researchers, agricultural analysts, actuaries, and underwriters, among others, will immediately benefit. This book is part of the SAS Press program.
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Affiche du document Building Better Models with JMP Pro

Building Better Models with JMP Pro

Jim Grayson

2h22min30

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190 pages. Temps de lecture estimé 2h22min.
Building Better Models with JMP® Pro provides an example-based introduction to business analytics, with a proven process that guides you in the application of modeling tools and concepts. It gives you the "what, why, and how" of using JMP® Pro for building and applying analytic models. This book is designed for business analysts, managers, and practitioners who may not have a solid statistical background, but need to be able to readily apply analytic methods to solve business problems. In addition, this book will greatly benefit faculty members who teach any of the following subjects at the lower to upper graduate level: predictive modeling, data mining, and business analytics. Novice to advanced users in business statistics, business analytics, and predictive modeling will find that it provides a peek inside the black box of algorithms and the methods used. Topics include: regression, logistic regression, classification and regression trees, neural networks, model cross-validation, model comparison and selection, and data reduction techniques. Full of rich examples, Building Better Models with JMP Pro is an applied book on business analytics and modeling that introduces a simple methodology for managing and executing analytics projects. No prior experience with JMP is needed. Make more informed decisions from your data using this newest JMP book.
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Affiche du document Start Concurrent

Start Concurrent

Aditya Mathur

6h09min00

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492 pages. Temps de lecture estimé 6h09min.
Multicore microprocessors are now at the heart of nearly all desktop and laptop computers. While these chips offer exciting opportunities for the creation of newer and faster applications, they also challenge students and educators. How can the new generation of computer scientists growing up with multicore chips learn to program applications that exploit this latent processing power? This unique book is an attempt to introduce concurrent programming to first-year computer science students, much earlier than most competing products.This book assumes no programming background but offers a broad coverage of Java. It includes over 150 numbered and numerous inline examples as well as more than 300 exercises categorized as "conceptual," "programming," and "experiments." The problem-oriented approach presents a problem, explains supporting concepts, outlines necessary syntax, and finally provides its solution. All programs in the book are available for download and experimentation. A substantial index of at least 5000 entries makes it easy for readers to locate relevant information.In a fast-changing field, this book is continually updated and refined. The 2014 version is the seventh "draft edition" of this volume, and features numerous revisions based on student feedback.A list of errata for this version can be found on the Purdue University Department of Computer Science website.Contents Contents Preface Acknowledgements 1 Computer Basics 1 2 Problem Solving and Programming 3 Primitive Types and Strings 4 Selection 5 Repetition 6 Arrays 7 Simple Graphical User Interfaces 8 Methods 9 Classes 10 Interfaces 11 Inheritance 12 Exceptions 13 Concurrent Programming 14 Synchronization 15 Constructing Graphical User Interfaces 16 Testing and Debugging 17 Polymorphism 18 Dynamic Data Structures 19 Recursion 20 File I/O 21 Network Communication Index
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Affiche du document Research Data Management

Research Data Management

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253 pages. Temps de lecture estimé 3h10min.
It has become increasingly accepted that important digital data must be retained and shared in order to preserve and promote knowledge, advance research in and across all disciplines of scholarly endeavor, and maximize the return on investment of public funds. To meet this challenge, colleges and universities are adding data services to existing infrastructures by drawing on the expertise of information professionals who are already involved in the acquisition, management and preservation of data in their daily jobs. Data services include planning and implementing good data management practices, thereby increasing researchers' ability to compete for grant funding and ensuring that data collections with continuing value are preserved for reuse. This volume provides a framework to guide information professionals in academic libraries, presses, and data centers through the process of managing research data from the planning stages through the life of a grant project and beyond. It illustrates principles of good practice with use-case examples and illuminates promising data service models through case studies of innovative, successful projects and collaborations.Contents Introduction to Research Data Management, by Joyce M. Ray PART 1: UNDERSTANDING THE POLICY CONTEXT 1 The Policy and Institutional Framework, by James L. Mullins 2 Data Governance: Where Technology and Policy Collide, by MacKenzie Smith PART 2: PLANNING FOR DATA MANAGEMENT 3 The Use of Life Cycle Models in Developing and Supporting Data Services, by Jake Carlson 4 Data Management Assessment and Planning Tools, by Andrew Sallans and Sherry Lake 5 Trustworthy Data Repositories: The Value and Benefits of Auditing and Certification, by Bernard F. Reilly, Jr., and Marie E. Waltz PART 3: MANAGING PROJECT DATA 6 Copyright, Open Data, and the Availability-Usability Gap: Challenges, Opportunities, and Approaches for Libraries, by Melissa Levine 7 Metadata Services, by Jenn Riley 8 Data Citation: Principles and Practice, by Jan Brase, Yvonne Socha, Sarah Callaghan, Christine L. Borgman, Paul F. Uhlir, and Bonnie Carroll PART 4: ARCHIVING AND MANAGING RESEARCH DATA IN REPOSITORIES 9 Assimilating Digital Repositories Into the Active Research Process, by Tyler Walters 10 Partnering to Curate and Archive Social Science Data, by Jared Lyle, George Alter, and Ann Green 11 Managing and Archiving Research Data: Local Repository and Cloud-Based Practices, by Michele Kimpton and Carol Minton Morris 12 Chronopolis Repository Services, by David Minor, Brian E. C. Schottlaender, and Ardys Kozbial PART 5: MEASURING SUCCESS 13 Evaluating a Complex Project: DataONE, by Suzie Allard 14 What to Measure? Toward Metrics for Research Data Management, by Angus Whyte, Laura Molloy, Neil Beagrie, and John Houghton PART 6: BRINGING IT ALL TOGETHER: CASE STUDIES 15 An Institutional Perspective on Data Curation Services: A View from Cornell University, by Gail Steinhart 16 Purdue University Research Repository: Collaborations in Data Management, by D. Scott Brandt 17 Data Curation for the Humanities: Perspectives From Rice University, by Geneva Henry 18 Developing Data Management Services for Researchers at the University of Oregon, by Brian Westra CLOSING REFLECTIONS: LOOKING AHEAD 19 The Next Generation of Challenges in the Curation of Scholarly Data, by Clifford Lynch About the Contributors Index
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Affiche du document Le modèle cybernétique du contrôle de gestion

Le modèle cybernétique du contrôle de gestion

Benoît Pigé

3h18min00

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264 pages. Temps de lecture estimé 3h18min.
Depuis plus d’un siècle, les outils de contrôle de gestion ont permis de répondre aux besoins de gestion de processus de plus en plus complexes. La nécessité de déléguer la prise de décision au plus près des acteurs de terrain tout en conservant une vision globale des processus a conduit au développement de nombreux outils qui vont du contrôle budgétaire au Balanced Scorecard en passant par le calcul des coûts et le reporting. Mais le contrôle de gestion n’est pas seulement un outil de coordination des processus, il est également un outil qui façonne les processus organisationnels et agit sur les interactions sociales et environnementales. Avec la numérisation massive de l’information et la multiplication des données, la recherche de l’efficience des processus a fait disparaître toute question anthropologique. Pourtant, par sa manière de collecter, de trier, d’analyser et de présenter l’information, le contrôle de gestion induit une certaine approche de l’être humain, de la société et de son environnement. Trois considérations sont déterminantes : Intégrer des informations économiques, sociales et environnementales. Être le nœud par lequel transitent les informations digitalisées, le point de contrôle qui assure la fiabilité et la pertinence des informations transmises. Donner du sens à des informations abstraites, en transformant des chiffres en une histoire porteuse de sens pour les employés, les actionnaires et toutes les parties prenantes de l’organisation.
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Affiche du document Code-It Workbook 4: Problem Solving Using Scratch

Code-It Workbook 4: Problem Solving Using Scratch

Phil Bagge

22min30

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30 pages. Temps de lecture estimé 22min.
Code IT Primary Programming SeriesBasic computer coding is now among the most important skills a child can have for their future. There are many programming languages designed specifically for children to begin their studies, but the Scratch programming language, already recognised in schools around the world, is widely considered as the ideal place to begin programming in early education. The highly successful Code-It series is a comprehensive guide to teaching Scratch to children in a classroom setting. It is designed for the UK-based KS2 curriculum but can easily be used to supplement other programming courses for children between the ages of 7 and 11. There are four pupil workbooks designed to work in conjunction with the Code-It teacher handbook. They provide structure and resources for the children, including optional homework activities to extend to learning outside the classroom. Workbook 4 explains how to think, program and debug exciting programming projects such as Times Tables Game, Perimeter, Clock, Cartesian Coordinates, Translation, Enlargement & Rotation, Primary Games Maker, Tilt Switch and Chat Bot. It also outlines how to use analytical computational thinking skills of algorithm design, algorithm evaluation, decomposition and generalisation; extend resilience and problem solving through the computational doing skills of converting algorithm into code and debugging; develop pupils' knowledge of sequence, repetition, selection and variable use; and program Lego models using Lego Wedo and Scratch.
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Affiche du document Code-It Workbook 3: Algorithm to Code Using Scratch

Code-It Workbook 3: Algorithm to Code Using Scratch

Phil Bagge

23min15

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31 pages. Temps de lecture estimé 23min.
Code IT Primary Programming SeriesBasic computer coding is now among the most important skills a child can have for their future. There are many programming languages designed specifically for children to begin their studies, but the Scratch programming language, already recognised in schools around the world, is widely considered as the ideal place to begin programming in early education.The highly successful Code-It series is a comprehensive guide to teaching Scratch to children in a classroom setting. It is designed for the UK-based KS2 curriculum but can easily be used to supplement other programming courses for children between the ages of 7 and 11.There are four pupil workbooks designed to work in conjunction with the Code-It teacher handbook. They provide structure and resources for the children, including optional homework activities to extend to learning outside the classroom. Workbook 3 explains how to think, program and debug exciting programming projects such as Counting Machine, Music Abstraction, Random Word, Coin Sorter, Crab Maze, Toilet Fan, Car Park Barrier and Angle Menu. It also explains how to use analytical computational thinking skills for algorithm design, algorithm evaluation, decomposition, generalisation and abstraction; extend resilience and problem solving through the computational doing skills of converting algorithm into code and debugging; expand pupils’ knowledge of sequence, repetition, selection and variable use; introduce the basic use of a list; and program Lego models using Lego Wedo and Scratch.
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Affiche du document Code-It Workbook 1: First Steps in Programming using Scratch

Code-It Workbook 1: First Steps in Programming using Scratch

Phil Bagge

15min00

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20 pages. Temps de lecture estimé 15min.
Code IT Primary Programming SeriesBasic computer coding is now among the most important skills a child can have for their future. There are many programming languages designed specifically for children to begin their studies, but the Scratch programming language, already recognised in schools around the world, is widely considered as the ideal place to begin programming in early education. The highly successful Code-It series is a comprehensive guide to teaching Scratch to children in a classroom setting. It is designed for the UK-based KS2 curriculum but can easily be used to supplement other programming courses for children between the ages of 7 and 11. There are four pupil workbooks designed to work in conjunction with the Code-It teacher handbook. They provide structure and resources for the children, including optional homework activities to extend to learning outside the classroom. Workbook 1 provides all the pupil resources to accompany Year 3, Chapter 2 of the teacher resource book How to Teach Primary Programming Using Scratch, including optional homework activities to extend learning outside the classroom. It explains how to think, program and debug exciting programming projects such as Smoking Car Game, Music Machine, Conversation, Interactive Display and Dressing up Game. It also outlines how to use analytical computational thinking skills for algorithm design, algorithm evaluation, decomposition and generalisation.
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Affiche du document Code-It Workbook 2: Choices In Programming Using Scratch

Code-It Workbook 2: Choices In Programming Using Scratch

Phil Bagge

15min45

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21 pages. Temps de lecture estimé 16min.
Code IT Primary Programming SeriesBasic computer coding is now among the most important skills a child can have for their future. There are many programming languages designed specifically for children to begin their studies, but the Scratch programming language, already recognised in schools around the world, is widely considered as the ideal place to begin programming in early education. The highly successful Code-It series is a comprehensive guide to teaching Scratch to children in a classroom setting. It is designed for the UK-based KS2 curriculum but can easily be used to supplement other programming courses for children between the ages of 7 and 11. There are four pupil workbooks designed to work in conjunction with the Code-It teacher handbook. They provide structure and resources for the children, including optional homework activities to extend to learning outside the classroom. Workbook 2 explains how to think, program and debug exciting programming projects such as Maths Quiz, Music Algorithm to Music Code, Slug Trail Game, Selection Investigation and Teach Your Computer To Do Maths . It also outlines how to use analytical computational thinking skills for algorithm design, algorithm evaluation, decomposition and generalisation; extend resilience and problem solving through the computational doing skills of converting algorithm into code and debugging; and consolidate sequence and repetition in programming whilst introducing selection and variable use.
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Affiche du document SEO - 7 Techniques pour Développer votre Référencement Naturel

SEO - 7 Techniques pour Développer votre Référencement Naturel

Dimitri Carlet

2h21min00

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188 pages. Temps de lecture estimé 2h21min.
Découvrez les recettes SEO express pour faire grimper votre site dans les moteurs de recherche J’ai dédié ce livre aux entrepreneurs en appliquant les principes qui y sont développés à un cas concret. Vous verrez comment il est possible de lancer un business automatique et rentable générant plus de 1000€ de revenus mensuels passifs, en 3 mois et moins de 150 € d’investissement, sans publicité, uniquement grâce au contenu et au référencement naturel, ou SEO. Le Référencement Naturel SEO est un formidable moyen pour vous de faire décoller votre business grâce à votre bon sens, sans moyens financiers et sans passer des années à essayer d'en apprendre tous les concepts. Plus de la moitié des apprentis-entrepreneur avec qui je discute ont comme projet un business en ligne : un blog, un site de e-commerce, la commercialisation d’un info-produit, etc. Souvent, ces entrepreneurs maitrisent bien les aspects réseaux sociaux et investissent du temps et de l’argent pour : créer une page facebook une page youtube un instagram un pinterest poster régulièrement lancer des campagnes publicitaires embaucher un community manager… Mais près de 50% du trafic d’un site peut provenir des recherches des internautes sur Google. Dommage de se priver de ces opportunités. Et en creusant, j’ai compris que le SEO pouvait paraître technique, fastidieux, que les résultats sont à long-terme. Avec un peu de bon sens, il est pourtant tout à fait possible de faire décoller votre business grâce au SEO. Ce que vous allez trouver dans ce livre 1. Toutes les questions à se poser au démarrage de votre projet SEO 2. Un résumé simplifié des principaux concepts du SEO 3. Comment cibler les bons mots-clés pour faire décoller votre business 4. Comment produire un contenu épique, véritable aimant à visiteurs et prospects 5. Les recettes pour optimiser le SEO de votre contenu 6. Comment faire parler de votre contenu et obtenir des liens de top qualité 7. Quels réglages effectuer pour avoir un site SEO Friendly Et deux bonus... Ma garantie Lire ce livre ne vous permettra pas de devenir Bac +5 en Marketing Digital… Mais si vous voulez développer un business en ligne et que vous n’avez pas encore misé sur le SEO, lire ce livre et en appliquer les principes vous permettra d’augmenter votre visibilité, et au final, votre chiffre d’affaires.
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Affiche du document Programmer en Python - Apprendre la programmation de façon claire, concise et efficace - collection O'Reilly

Programmer en Python - Apprendre la programmation de façon claire, concise et efficace - collection O'Reilly

Luciano RAMALHO

6h03min00

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484 pages. Temps de lecture estimé 6h03min.
Un livre unique pour aller plus loin dans la mise en oeuvre de vos développements PythonLa simplicité du langage Python permet d'être productif très rapidement mais cela ne signifie pas que vous utilisez tout le potentiel du langage. Avec ce livre en mains, vous allez apprendre à coder en Python de manière beaucoup plus efficace en découvrant des caractéristiques du langage ignorées de beaucoup. L'auteur, Luciano Ramalho vous guide dans un voyage intitiatique à travers les bibliothèques et les éléments du langage les plus intéressants. Vos nouvelle connaissances vous permettront de réduire vos lignes de codes et de rendre vos programmes plus rapides et globalement plus efficaces.Au programme :Le modèle de données de PythonLes structures de donnéesLes fonctions et les objetsClasses, références, interfaces et opérateursLe contrôle du fluxLa métaprogrammation Collection O'Reilly
Accès libre
Affiche du document Instagram pour les Nuls, poche

Instagram pour les Nuls, poche

Eric Butow

4h05min15

  • Informatique
  • Livre epub
  • Livre lcp
327 pages. Temps de lecture estimé 4h05min.
Apprenez à briller sur le plus grand réseau de photos du Monde !Instagram est devenu au fil des années le réseau le plus nutilisé pour partager photos et vidéos. Ce livre va vous initier aux bonnes pratiques pour utiliserde manière optimale et en toute sécurité et confidentialité ce réseau de partage d'images.Au programme :Créer un comptePublier des photos avec ou sans filtresAnimer,modérer et faire connaître votre comptePublier des storiesCommuniquer autour de votre marqueRésoudre des problèmes liés à l'utilisation d'Instagram Pour découvrir toute la collection Pour les Nuls, cliquez ici !
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