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| coding languages ranked by difficulty: Knowledge Science, Engineering and Management Cungeng Cao, |
| coding languages ranked by difficulty: Culturally and Linguistically Diverse Learners and STEAM Pamela Spycher, Erin F. Haynes, 2019-03-01 Multilingual students, multidialectal students, and students learning English as an additional language constitute a substantial and growing demographic in the United States. But these groups of students tend to receive unequal access to and inadequate instruction in Science, Technology, Engineering, Arts, and Mathematics (STEAM), with their cultural and linguistic assets going largely unacknowledged and underutilized. The need for more information about quality STEAM education for culturally and linguistically diverse students is pressing. This book seeks to address this need, with chapters from asset-oriented researchers and practitioners whose work offers promising teaching and learning approaches in the STEAM subjects in K-16 education settings. Authors share innovative ways in which classroom teachers integrate disciplinary reading, writing, discussion, and language development with content knowledge development in STEAM subjects. Also shared are approaches for integrating indigenous epistemologies, culturally sustaining pedagogy, and students’ linguistic resources and life experiences into classroom teaching. The value of quality STEAM education for all students is an equity issue, a civics issue, and an economic issue. Our technologically-driven, scientifically-oriented, innovative society should be led by diverse people with diverse ways of approaching and being in the world. This book aims to make quality STEAM education a reality for all students, taking into account the many perspectives, bodies of knowledge, and skills they bring from a range of cultural and linguistic backgrounds, with the ultimate goal of strengthening the fields that will drive our society towards the future. There are three primary audiences for this book: teachers (both in-service and pre-service teachers), teacher educators (both pre-service preparation and professional learning); and applied researchers. Whatever their current or evolving role, readers are encouraged to use this book and the inquiry questions provided at the end of each chapter as a launching point for their own important work in achieving equity in STEAM education. |
| coding languages ranked by difficulty: Language and Languages Christina Gitsaki, 2009-03-26 The emergence of globalisation is bringing massive changes to all aspects of life, including language. In an effort to raise awareness on the effects of globalisation on language learning and teaching, the Applied Linguistics Association of Australia (ALAA) devoted its 31st Annual Congress to this theme. This volume represents a collection of papers by academics in Australia, South-East Asia, New Zealand, Europe and North America, which synthesize language learning and teaching theories and current research to present the views of applied linguists and language educators on a variety of issues with regards to the tensions that globalisation and internationalisation bring on language and languages. A total of twenty-two articles discuss issues related to the status of the ELT profession in a globalised world, issues of ESL teaching and language assessment, the ever increasing use of ICTs for foreign language learning, and the effects of globalisation on minority languages. This collection of articles attempts to integrate theoretical issues, research findings, and practical applications on different aspects of TESOL to provide academics, researchers, students and language educators with a discussion of the current state of affairs in the field of applied linguistics with regards to globalisation. |
| coding languages ranked by difficulty: R/E , 1990 |
| coding languages ranked by difficulty: Datamation , 1986-04 |
| coding languages ranked by difficulty: New Challenges for Knowledge Renaud Fabre, 2016-11-23 Digital technologies are reshaping every field of social and economic lives, so do they in the world of scientific knowledge. “The New Challenges of Knowledge” aims at understanding how the new digital technologies alter the production, diffusion and valorization of knowledge. We propose to give an insight into the economical, geopolitical and political stakes of numeric in knowledge in different countries. Law is at the center of this evolution, especially in the case of national and international confusion about Internet, Science and knowledge. |
| coding languages ranked by difficulty: The Elements of C++ Style Trevor Misfeldt, Gregory Bumgardner, Andrew Gray, 2004-02-16 This 2004 book contains guidelines for writing consistent C++ code that's easy to understand, enhance and maintain. Perfect for teams. |
| coding languages ranked by difficulty: Python Programming Techniques Lance Gifford, 2014-04-13 Python Programming Techniques is a book that is ideal for persons that are interested in learning about the basics of Python programming before they move on to learn more advanced techniques offered by the program. The book is not for those who have no interest at all in python programming. It is specifically geared for those individuals that have a need to learn how it all works whether it is for their job or for scholastic purposes. Coding and programming can be tricky and this text explains how the pitfalls can be avoided when in the long run. |
| coding languages ranked by difficulty: Language and Language Behavior Abstracts , 1971 |
| coding languages ranked by difficulty: SIAM Journal on Computing Society for Industrial and Applied Mathematics, 1991 |
| coding languages ranked by difficulty: Teaching and Learning a Second Language Ernesto Macaro, 2005-07-27 There is increasingly wide agreement among teachers, researchers, inspectors, advisers and policy-makers that both teaching and research will benefit from being brought closer together. But how can this be achieved? Hard-pressed practioners cannot be expected to review a constant flow of conference papers, journals and other publications, even if such items were accessibly written. This unique book synthesizes relevant research findings for the professional practioner and highlights their implications for the quality of teaching and learning. Whether you are a teacher looking to improve your practice or a researcher looking for a concise overview of the literature, this book will prove a valuable acquisition. |
| coding languages ranked by difficulty: Computational Problems for Physics Rubin H. Landau, Manuel José Páez, 2018-05-30 Our future scientists and professionals must be conversant in computational techniques. In order to facilitate integration of computer methods into existing physics courses, this textbook offers a large number of worked examples and problems with fully guided solutions in Python as well as other languages (Mathematica, Java, C, Fortran, and Maple). It’s also intended as a self-study guide for learning how to use computer methods in physics. The authors include an introductory chapter on numerical tools and indication of computational and physics difficulty level for each problem. Readers also benefit from the following features: • Detailed explanations and solutions in various coding languages. • Problems are ranked based on computational and physics difficulty. • Basics of numerical methods covered in an introductory chapter. • Programming guidance via flowcharts and pseudocode. Rubin Landau is a Distinguished Professor Emeritus in the Department of Physics at Oregon State University in Corvallis and a Fellow of the American Physical Society (Division of Computational Physics). Manuel Jose Paez-Mejia is a Professor of Physics at Universidad de Antioquia in Medellín, Colombia. |
| coding languages ranked by difficulty: Identifying and Teaching Children and Young People with Dyslexia and Literacy Difficulties Sir Jim Rose, 2009 |
| coding languages ranked by difficulty: An Introduction to the Analysis of Algorithms Robert Sedgewick, Philippe Flajolet, 2013-01-18 Despite growing interest, basic information on methods and models for mathematically analyzing algorithms has rarely been directly accessible to practitioners, researchers, or students. An Introduction to the Analysis of Algorithms, Second Edition, organizes and presents that knowledge, fully introducing primary techniques and results in the field. Robert Sedgewick and the late Philippe Flajolet have drawn from both classical mathematics and computer science, integrating discrete mathematics, elementary real analysis, combinatorics, algorithms, and data structures. They emphasize the mathematics needed to support scientific studies that can serve as the basis for predicting algorithm performance and for comparing different algorithms on the basis of performance. Techniques covered in the first half of the book include recurrences, generating functions, asymptotics, and analytic combinatorics. Structures studied in the second half of the book include permutations, trees, strings, tries, and mappings. Numerous examples are included throughout to illustrate applications to the analysis of algorithms that are playing a critical role in the evolution of our modern computational infrastructure. Improvements and additions in this new edition include Upgraded figures and code An all-new chapter introducing analytic combinatorics Simplified derivations via analytic combinatorics throughout The book’s thorough, self-contained coverage will help readers appreciate the field’s challenges, prepare them for advanced results—covered in their monograph Analytic Combinatorics and in Donald Knuth’s The Art of Computer Programming books—and provide the background they need to keep abreast of new research. [Sedgewick and Flajolet] are not only worldwide leaders of the field, they also are masters of exposition. I am sure that every serious computer scientist will find this book rewarding in many ways. —From the Foreword by Donald E. Knuth |
| coding languages ranked by difficulty: The R Book Michael J. Crawley, 2007-06-13 The high-level language of R is recognized as one of the mostpowerful and flexible statistical software environments, and israpidly becoming the standard setting for quantitative analysis,statistics and graphics. R provides free access to unrivalledcoverage and cutting-edge applications, enabling the user to applynumerous statistical methods ranging from simple regression to timeseries or multivariate analysis. Building on the success of the author’s bestsellingStatistics: An Introduction using R, The R Book ispacked with worked examples, providing an all inclusive guide to R,ideal for novice and more accomplished users alike. The bookassumes no background in statistics or computing and introduces theadvantages of the R environment, detailing its applications in awide range of disciplines. Provides the first comprehensive reference manual for the Rlanguage, including practical guidance and full coverage of thegraphics facilities. Introduces all the statistical models covered by R, beginningwith simple classical tests such as chi-square and t-test. Proceeds to examine more advance methods, from regression andanalysis of variance, through to generalized linear models,generalized mixed models, time series, spatial statistics,multivariate statistics and much more. The R Book is aimed at undergraduates, postgraduates andprofessionals in science, engineering and medicine. It is alsoideal for students and professionals in statistics, economics,geography and the social sciences. |
| coding languages ranked by difficulty: Natural Language Processing with Python Steven Bird, Ewan Klein, Edward Loper, 2009-06-12 This book offers a highly accessible introduction to natural language processing, the field that supports a variety of language technologies, from predictive text and email filtering to automatic summarization and translation. With it, you'll learn how to write Python programs that work with large collections of unstructured text. You'll access richly annotated datasets using a comprehensive range of linguistic data structures, and you'll understand the main algorithms for analyzing the content and structure of written communication. Packed with examples and exercises, Natural Language Processing with Python will help you: Extract information from unstructured text, either to guess the topic or identify named entities Analyze linguistic structure in text, including parsing and semantic analysis Access popular linguistic databases, including WordNet and treebanks Integrate techniques drawn from fields as diverse as linguistics and artificial intelligence This book will help you gain practical skills in natural language processing using the Python programming language and the Natural Language Toolkit (NLTK) open source library. If you're interested in developing web applications, analyzing multilingual news sources, or documenting endangered languages -- or if you're simply curious to have a programmer's perspective on how human language works -- you'll find Natural Language Processing with Python both fascinating and immensely useful. |
| coding languages ranked by difficulty: Advanced Swift Chris Eidhof, Airspeed Velocity, 2016-03-18 Advanced Swift takes you through Swift's features, from low-level programming to high-level abstractions. In this book, we'll write about advanced concepts in Swift programming. If you have read the Swift Programming Guide, and want to explore more, this book is for you. Swift is a great language for systems programming, but also lends itself for very high-level programming. We'll explore both high-level topics (for example, programming with generics and protocols), as well as low-level topics (for example, wrapping a C library and string internals). |
| coding languages ranked by difficulty: The Elements of Computing Systems Noam Nisan, Shimon Schocken, 2008 This title gives students an integrated and rigorous picture of applied computer science, as it comes to play in the construction of a simple yet powerful computer system. |
| coding languages ranked by difficulty: The Book of R Tilman M. Davies, 2016-07-16 The Book of R is a comprehensive, beginner-friendly guide to R, the world’s most popular programming language for statistical analysis. Even if you have no programming experience and little more than a grounding in the basics of mathematics, you’ll find everything you need to begin using R effectively for statistical analysis. You’ll start with the basics, like how to handle data and write simple programs, before moving on to more advanced topics, like producing statistical summaries of your data and performing statistical tests and modeling. You’ll even learn how to create impressive data visualizations with R’s basic graphics tools and contributed packages, like ggplot2 and ggvis, as well as interactive 3D visualizations using the rgl package. Dozens of hands-on exercises (with downloadable solutions) take you from theory to practice, as you learn: –The fundamentals of programming in R, including how to write data frames, create functions, and use variables, statements, and loops –Statistical concepts like exploratory data analysis, probabilities, hypothesis tests, and regression modeling, and how to execute them in R –How to access R’s thousands of functions, libraries, and data sets –How to draw valid and useful conclusions from your data –How to create publication-quality graphics of your results Combining detailed explanations with real-world examples and exercises, this book will provide you with a solid understanding of both statistics and the depth of R’s functionality. Make The Book of R your doorway into the growing world of data analysis. |
| coding languages ranked by difficulty: Touch of Class Bertrand Meyer, 2009-08-28 This text combines a practical, hands-on approach to programming with the introduction of sound theoretical support focused on teaching the construction of high-quality software. A major feature of the book is the use of Design by Contract. |
| coding languages ranked by difficulty: Multiparadigm Programming in Leda Timothy Budd, 1995 Author and noted computer scientist Timothy Budd has been at the cutting edge of multiparadigm programming research. He has developed a single programming language--Leda-- which can be used to illustrate the benefits of four different programming paradigms. Using Leda, Budd shows in his new book how the unique features of each paradigm can be learned and applied simultaneously through one multiparadigm tool. |
| coding languages ranked by difficulty: The Art of C++ Herbert Schildt, 2004 The author of this text applies C++ to a wide variety of high-powered; practical applications; each focusing on a different aspect of the language. Examples range from a garbage collector subsystem and a thread control panel to AI-based searches and more. -- |
| coding languages ranked by difficulty: Learn Python 3 the Hard Way Zed A. Shaw, 2017-06-26 You Will Learn Python 3! Zed Shaw has perfected the world’s best system for learning Python 3. Follow it and you will succeed—just like the millions of beginners Zed has taught to date! You bring the discipline, commitment, and persistence; the author supplies everything else. In Learn Python 3 the Hard Way, you’ll learn Python by working through 52 brilliantly crafted exercises. Read them. Type their code precisely. (No copying and pasting!) Fix your mistakes. Watch the programs run. As you do, you’ll learn how a computer works; what good programs look like; and how to read, write, and think about code. Zed then teaches you even more in 5+ hours of video where he shows you how to break, fix, and debug your code—live, as he’s doing the exercises. Install a complete Python environment Organize and write code Fix and break code Basic mathematics Variables Strings and text Interact with users Work with files Looping and logic Data structures using lists and dictionaries Program design Object-oriented programming Inheritance and composition Modules, classes, and objects Python packaging Automated testing Basic game development Basic web development It’ll be hard at first. But soon, you’ll just get it—and that will feel great! 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 Seasoned professionals looking for a fast, simple, crash course in Python 3 |
| coding languages ranked by difficulty: Introduction to Information Retrieval Christopher D. Manning, Prabhakar Raghavan, Hinrich Schütze, 2008-07-07 Class-tested and coherent, this textbook teaches classical and web information retrieval, including web search and the related areas of text classification and text clustering from basic concepts. It gives an up-to-date treatment of all aspects of the design and implementation of systems for gathering, indexing, and searching documents; methods for evaluating systems; and an introduction to the use of machine learning methods on text collections. All the important ideas are explained using examples and figures, making it perfect for introductory courses in information retrieval for advanced undergraduates and graduate students in computer science. Based on feedback from extensive classroom experience, the book has been carefully structured in order to make teaching more natural and effective. Slides and additional exercises (with solutions for lecturers) are also available through the book's supporting website to help course instructors prepare their lectures. |
| coding languages ranked by difficulty: A Short Introduction to the Art of Programming Edsger W. Dijkstra, 1971 |
| coding languages ranked by difficulty: C++ Gotchas Stephen C. Dewhurst, 2003 Corpus linguistics is a research approach to investigate the patterns of language use empirically, based on analysis of large collections of natural texts. While corpus-based analysis has had relatively little influence on theoretical linguistics, it has revolutionized the study of language variation and use: what speakers and writers actually do with the lexical and grammatical resources of a language. Corpus-based research employs the research methods of quantitative and qualitative social science to investigate language use patterns empirically. This four-volume collection is organized around linguistic research questions that can be investigated from a corpus perspective and includes amongst others studies of individual words, comparisons of supposedly synonymous words, studies of grammatical variation, and sociolinguistic studies of dialects, registers, styles, and world varieties. Corpus-based analysis has also proven to be important for the study of historical change. |
| coding languages ranked by difficulty: Correspondence Analysis and Data Coding with Java and R Fionn Murtagh, 2005-05-26 Developed by Jean-Paul Benzerci more than 30 years ago, correspondence analysis as a framework for analyzing data quickly found widespread popularity in Europe. The topicality and importance of correspondence analysis continue, and with the tremendous computing power now available and new fields of application emerging, its significance is greater |
| coding languages ranked by difficulty: Machine Learning for Audio, Image and Video Analysis Francesco Camastra, Alessandro Vinciarelli, 2015-07-21 This second edition focuses on audio, image and video data, the three main types of input that machines deal with when interacting with the real world. A set of appendices provides the reader with self-contained introductions to the mathematical background necessary to read the book. Divided into three main parts, From Perception to Computation introduces methodologies aimed at representing the data in forms suitable for computer processing, especially when it comes to audio and images. Whilst the second part, Machine Learning includes an extensive overview of statistical techniques aimed at addressing three main problems, namely classification (automatically assigning a data sample to one of the classes belonging to a predefined set), clustering (automatically grouping data samples according to the similarity of their properties) and sequence analysis (automatically mapping a sequence of observations into a sequence of human-understandable symbols). The third part Applications shows how the abstract problems defined in the second part underlie technologies capable to perform complex tasks such as the recognition of hand gestures or the transcription of handwritten data. Machine Learning for Audio, Image and Video Analysis is suitable for students to acquire a solid background in machine learning as well as for practitioners to deepen their knowledge of the state-of-the-art. All application chapters are based on publicly available data and free software packages, thus allowing readers to replicate the experiments. |
| coding languages ranked by difficulty: Longman Dictionary of Language Teaching and Applied Linguistics Jack C. Richards, Richard W. Schmidt, 2013-11-04 This best-selling dictionary is now in its 4th edition. Specifically written for students of language teaching and applied linguistics, it has become an indispensible resource for those engaged in courses in TEFL, TESOL, applied linguistics and introductory courses in general linguistics. Fully revised, this new edition includes over 350 new entries. Previous definitions have been revised or replaced in order to make this the most up-to-date and comprehensive dictionary available. Providing straightforward and accessible explanations of difficult terms and ideas in applied linguistics, this dictionary offers: Nearly 3000 detailed entries, from subject areas such as teaching methodology, curriculum development, sociolinguistics, syntax and phonetics. Clear and accurate definitions which assume no prior knowledge of the subject matter helpful diagrams and tables cross references throughout, linking related subject areas for ease of reference, and helping to broaden students' knowledge The Dictionary of Language Teaching and Applied Linguistics is the definitive resource for students. |
| coding languages ranked by difficulty: Research Design and Statistics for Applied Linguistics Evelyn Marcussen Hatch, Hossein Farhady, 1982 |
| coding languages ranked by difficulty: Genre in a Changing World Charles Bazerman, Adair Bonini, 2009-09-16 Genre studies and genre approaches to literacy instruction continue to develop in many regions and from a widening variety of approaches. Genre has provided a key to understanding the varying literacy cultures of regions, disciplines, professions, and educational settings. GENRE IN A CHANGING WORLD provides a wide-ranging sampler of the remarkable variety of current work. The twenty-four chapters in this volume, reflecting the work of scholars in Europe, Australasia, and North and South America, were selected from the over 400 presentations at SIGET IV (the Fourth International Symposium on Genre Studies) held on the campus of UNISUL in Tubarão, Santa Catarina, Brazil in August 2007—the largest gathering on genre to that date. The chapters also represent a wide variety of approaches, including rhetoric, Systemic Functional Linguistics, media and critical cultural studies, sociology, phenomenology, enunciation theory, the Geneva school of educational sequences, cognitive psychology, relevance theory, sociocultural psychology, activity theory, Gestalt psychology, and schema theory. Sections are devoted to theoretical issues, studies of genres in the professions, studies of genre and media, teaching and learning genre, and writing across the curriculum. The broad selection of material in this volume displays the full range of contemporary genre studies and sets the ground for a next generation of work. |
| coding languages ranked by difficulty: How to Design Programs, second edition Matthias Felleisen, Robert Bruce Findler, Matthew Flatt, Shriram Krishnamurthi, 2018-05-04 A completely revised edition, offering new design recipes for interactive programs and support for images as plain values, testing, event-driven programming, and even distributed programming. This introduction to programming places computer science at the core of a liberal arts education. Unlike other introductory books, it focuses on the program design process, presenting program design guidelines that show the reader how to analyze a problem statement, how to formulate concise goals, how to make up examples, how to develop an outline of the solution, how to finish the program, and how to test it. Because learning to design programs is about the study of principles and the acquisition of transferable skills, the text does not use an off-the-shelf industrial language but presents a tailor-made teaching language. For the same reason, it offers DrRacket, a programming environment for novices that supports playful, feedback-oriented learning. The environment grows with readers as they master the material in the book until it supports a full-fledged language for the whole spectrum of programming tasks. This second edition has been completely revised. While the book continues to teach a systematic approach to program design, the second edition introduces different design recipes for interactive programs with graphical interfaces and batch programs. It also enriches its design recipes for functions with numerous new hints. Finally, the teaching languages and their IDE now come with support for images as plain values, testing, event-driven programming, and even distributed programming. |
| coding languages ranked by difficulty: The Symbolic Species: The Co-evolution of Language and the Brain Terrence W. Deacon, 1998-04-17 A work of enormous breadth, likely to pleasantly surprise both general readers and experts.—New York Times Book Review This revolutionary book provides fresh answers to long-standing questions of human origins and consciousness. Drawing on his breakthrough research in comparative neuroscience, Terrence Deacon offers a wealth of insights into the significance of symbolic thinking: from the co-evolutionary exchange between language and brains over two million years of hominid evolution to the ethical repercussions that followed man's newfound access to other people's thoughts and emotions. Informing these insights is a new understanding of how Darwinian processes underlie the brain's development and function as well as its evolution. In contrast to much contemporary neuroscience that treats the brain as no more or less than a computer, Deacon provides a new clarity of vision into the mechanism of mind. It injects a renewed sense of adventure into the experience of being human. |
| coding languages ranked by difficulty: How to Build a Digital Library Ian H. Witten, David Bainbridge, 2002-07-16 Given modern society's need to control its ever-increasing body of information, digital libraries will be among the most important and influential institutions of this century. With their versatility, accessibility, and economy, these focused collections of everything digital are fast becoming the banks in which the world's wealth of information is stored. How to Build a Digital Library is the only book that offers all the knowledge and tools needed to construct and maintain a digital library-no matter how large or small. Two internationally recognized experts provide a fully developed, step-by-step method, as well as the software that makes it all possible. How to Build a Digital Library is the perfectly self-contained resource for individuals, agencies, and institutions wishing to put this powerful tool to work in their burgeoning information treasuries. Sketches the history of libraries-both traditional and digital-and their impact on present practices and future directions Offers in-depth coverage of today's practical standards used to represent and store information digitally Uses Greenstone, freely accessible open-source software-available with interfaces in the world's major languages (including Spanish, Chinese, and Arabic) Written for both technical and non-technical audiences |
| coding languages ranked by difficulty: Data Processing & Computer Programming Thomas J. Cashman, William J. Keys, 1971 |
| coding languages ranked by difficulty: Statistical Rethinking Richard McElreath, 2018-01-03 Statistical Rethinking: A Bayesian Course with Examples in R and Stan builds readers’ knowledge of and confidence in statistical modeling. Reflecting the need for even minor programming in today’s model-based statistics, the book pushes readers to perform step-by-step calculations that are usually automated. This unique computational approach ensures that readers understand enough of the details to make reasonable choices and interpretations in their own modeling work. The text presents generalized linear multilevel models from a Bayesian perspective, relying on a simple logical interpretation of Bayesian probability and maximum entropy. It covers from the basics of regression to multilevel models. The author also discusses measurement error, missing data, and Gaussian process models for spatial and network autocorrelation. By using complete R code examples throughout, this book provides a practical foundation for performing statistical inference. Designed for both PhD students and seasoned professionals in the natural and social sciences, it prepares them for more advanced or specialized statistical modeling. Web Resource The book is accompanied by an R package (rethinking) that is available on the author’s website and GitHub. The two core functions (map and map2stan) of this package allow a variety of statistical models to be constructed from standard model formulas. |
| coding languages ranked by difficulty: Speech & Language Processing Dan Jurafsky, 2000-09 |
| coding languages ranked by difficulty: Disease Control Priorities, Third Edition (Volume 6) King K. Holmes, Stefano Bertozzi, Barry R. Bloom, Prabhat Jha, 2017-11-06 Infectious diseases are the leading cause of death globally, particularly among children and young adults. The spread of new pathogens and the threat of antimicrobial resistance pose particular challenges in combating these diseases. Major Infectious Diseases identifies feasible, cost-effective packages of interventions and strategies across delivery platforms to prevent and treat HIV/AIDS, other sexually transmitted infections, tuberculosis, malaria, adult febrile illness, viral hepatitis, and neglected tropical diseases. The volume emphasizes the need to effectively address emerging antimicrobial resistance, strengthen health systems, and increase access to care. The attainable goals are to reduce incidence, develop innovative approaches, and optimize existing tools in resource-constrained settings. |
| coding languages ranked by difficulty: The graduates American Association of Colleges for Teacher Education. Committee on Studies, 1960 |
| coding languages ranked by difficulty: Clojure for the Brave and True Daniel Higginbotham, 2015-10-15 For weeks, months—nay!—from the very moment you were born, you’ve felt it calling to you. At long last you’ll be united with the programming language you’ve been longing for: Clojure! As a Lisp-style functional programming language, Clojure lets you write robust and elegant code, and because it runs on the Java Virtual Machine, you can take advantage of the vast Java ecosystem. Clojure for the Brave and True offers a dessert-first approach: you’ll start playing with real programs immediately, as you steadily acclimate to the abstract but powerful features of Lisp and functional programming. Inside you’ll find an offbeat, practical guide to Clojure, filled with quirky sample programs that catch cheese thieves and track glittery vampires. Learn how to: –Wield Clojure’s core functions –Use Emacs for Clojure development –Write macros to modify Clojure itself –Use Clojure’s tools to simplify concurrency and parallel programming Clojure for the Brave and True assumes no prior experience with Clojure, the Java Virtual Machine, or functional programming. Are you ready, brave reader, to meet your true destiny? Grab your best pair of parentheses—you’re about to embark on an epic journey into the world of Clojure! |
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Computer science and artificial intelligence curriculum for K-12 ...
Code.org provides free computer science and AI curriculum, plus professional development to support any teacher—no coding experience needed!
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Start with an Hour of Code, then explore self-paced coding courses on apps, games, and animations. Try App Lab, Game Lab, or Web Lab—and learn about AI, real-world careers, and …
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This movement helps to highlight how coding is behind everything from your favorite shoes to the music you listen to. By jumping into fun activities and starting your own projects, you can learn …
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