Introduction to Data Systems: Building from Python, Bressoud Thomas, White David
Автор: Cormen, Thomas H. Название: Introduction to Algorithms 4E ISBN: 026204630X ISBN-13(EAN): 9780262046305 Издательство: MIT Press Рейтинг: Цена: 25394.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A comprehensive update of a widely used textbook, with new material on matchings in bipartite graphs, online algorithms, machine learning, and other topics. Some books on algorithms are rigorous but incomplete; others cover masses of material but lack rigor. Introduction to Algorithms uniquely combines rigor and comprehensiveness. It covers a broad range of algorithms in depth, yet makes their design and analysis accessible to all levels of readers. Since the publication of the first edition, Introduction to Algorithms has become a widely used text in universities worldwide as well as the standard reference for professionals. This fourth edition has been updated throughout, with new chapters on matchings in bipartite graphs, online algorithms, and machine learning, and new material on such topics as solving recurrence equations, hash tables, potential functions, and suffix arrays. Each chapter is relatively self-contained, presenting an algorithm, a design technique, an application area, or a related topic, and can be used as a unit of study. The algorithms are described in English and in a pseudocode designed to be readable by anyone who has done a little programming. The explanations have been kept elementary without sacrificing depth of coverage or mathematical rigor. The fourth edition has 140 new exercises and 22 new problems, and color has been added to improve visual presentations. The writing has been revised throughout, and made clearer, more personal, and gender neutral. The book's website offers supplemental material.
Автор: Timbers, Tiffany-anne (university Of British Colum Название: Data science ISBN: 0367524686 ISBN-13(EAN): 9780367524685 Издательство: Taylor&Francis Рейтинг: Цена: 7501.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Data Science: An Introduction focuses on using the R programming language in Jupyter notebooks to perform basic data manipulation and cleaning, create effective visualizations, and extract insights from data using supervised predictive models.
Автор: Cormen, Thomas H., E Название: Introduction to algorithms 3 ed. ISBN: 0262033844 ISBN-13(EAN): 9780262033848 Издательство: MIT Press Рейтинг: Цена: 27588.00 р. Наличие на складе: Нет в наличии.
Описание: A new edition of the essential text and professional reference, with substantial new material on such topics as vEB trees, multithreaded algorithms, dynamic programming, and edge-base flow.
Автор: Fehr Hans Название: Introduction to Computational Economics Using Fortran ISBN: 0198850379 ISBN-13(EAN): 9780198850373 Издательство: Oxford Academ Рейтинг: Цена: 7047.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This exercise and solutions manual accompanies the main edition of Introduction to Computational Economics Using Fortran. It enables students of all levels to practice the skills and knowledge needed to conduct economic research using Fortran.
Автор: Chvatal, Vasek (concordia University, Montreal) Название: Discrete mathematical charms of paul erdos ISBN: 1108927408 ISBN-13(EAN): 9781108927406 Издательство: Cambridge Academ Рейтинг: Цена: 3642.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This captivating book provides an introduction to fundamental results of discrete mathematics through the work of Paul Erdos, blended with first-hand reminiscences of his work and life. Written for students, it covers topics ranging from Bertrand`s postulate to evolution of random graphs and topics not typically covered in introductory courses.
Автор: Sandeep Nagar Название: Introduction to Python for Engineers and Scientists ISBN: 1484232038 ISBN-13(EAN): 9781484232033 Издательство: Springer Рейтинг: Цена: 3912.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Familiarize yourself with the basics of Python for engineering and scientific computations using this concise, practical tutorial that is focused on writing code to learn concepts. Introduction to Python is useful for industry engineers, researchers, and students who are looking for open-source solutions for numerical computation.
In this book you will learn by doing, avoiding technical jargon, which makes the concepts easy to learn. First you'll see how to run basic calculations, absorbing technical complexities incrementally as you progress toward advanced topics. Throughout, the language is kept simple to ensure that readers at all levels can grasp the concepts.
What You'll Learn
Understand the fundamentals of the Python programming language
Apply Python to numerical computational programming projects in engineering and science
Discover the Pythonic way of life
Apply data types, operators, and arrays
Carry out plotting for visualization
Work with functions and loops
Who This Book Is For
Engineers, scientists, researchers, and students who are new to Python. Some prior programming experience would be helpful but not required.
Автор: Yue Zhang Название: An Introduction to Python and Computer Programming ISBN: 9811012431 ISBN-13(EAN): 9789811012433 Издательство: Springer Рейтинг: Цена: 16977.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book introduces Python programming language and fundamental concepts in algorithms and computing.
Автор: Pine David J. Название: Introduction to Python for Science and Engineering ISBN: 1138583898 ISBN-13(EAN): 9781138583894 Издательство: Taylor&Francis Рейтинг: Цена: 8420.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This guide offers a rapid introduction to Python programming to anyone with no experience in programming, taking a careful and methodical approach to presenting the features available and their use for performing practical scientific and engineering tasks.
Название: Introduction to Python for the Computer and Data Sciences ISBN: 0135404673 ISBN-13(EAN): 9780135404676 Издательство: Pearson Education Рейтинг: Цена: 23293.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: For introductory-level Python programming and/or data-science courses.
A groundbreaking, flexible approach to computer science and data science The Deitels' Introduction to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and the Cloud offers a unique approach to teaching introductory Python programming, appropriate for both computer-science and data-science audiences. Providing the most current coverage of topics and applications, the book is paired with extensive traditional supplements as well as Jupyter Notebooks supplements. Real-world datasets and artificial-intelligence technologies allow students to work on projects making a difference in business, industry, government and academia. Hundreds of examples, exercises, projects (EEPs), and implementation case studies give students an engaging, challenging and entertaining introduction to Python programming and hands-on data science. The book's modular architecture enables instructors to conveniently adapt the text to a wide range of computer-science and data-science courses offered to audiences drawn from many majors. Computer-science instructors can integrate as much or as little data-science and artificial-intelligence topics as they'd like, and data-science instructors can integrate as much or as little Python as they'd like. The book aligns with the latest ACM/IEEE CS-and-related computing curriculum initiatives and with the Data Science Undergraduate Curriculum Proposal sponsored by the National Science Foundation.
Автор: Perros, Harry G. Название: An Introduction to IoT Analytics ISBN: 0367686317 ISBN-13(EAN): 9780367686314 Издательство: Taylor&Francis Рейтинг: Цена: 7348.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book covers techniques that can be used to analyze data from IoT sensors and also addresses questions regarding the performance of an IoT system. It strikes a balance between practice and theory so that one can learn how to apply these tools in practice with a good understanding of their inner workings.
Автор: Bressoud Thomas, White David Название: Introduction to Data Systems: Building from Python ISBN: 3030543730 ISBN-13(EAN): 9783030543730 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Part I Foundation.- 1. Introduction.- 2. File Systems and File Processing.- 3. Python Native Data Structures.- 4. Regular Expressions.- Part II Data Systems: The Data Models.- 5. Data Systems Models.- 6. Tabular Model: Structure and Formats.- 7. Tabular Model: Access Operations and pandas.- 8. Tabular Model: Advanced Operations and pandas.- 9. Tabular Model: Transformations and Constraints.- 10. Relational Model: Structure and Architecture.- 11. Relational Operations: Single Table.- 12. Relational Operations: Multiple Tables.- 13. Relational Database Programming.- 14. Relational Model: Design, Constraints, and Creation.- 15. Hierarchical Model: Structure and Formats.- 16. Hierarchical Model: Operations and Programming.- 17. Hierarchical Model: Constraints.- Part III Data Systems: The Data Sources.- 18. Overview of Data Systems Sources.- 19. Networking and Client-Server.- 20. The HyperText Transfer Protocol.- 21. Interlude: Client Data Acquisition.- 22. Web Scraping.- 23. RESTful Application Programming Interfaces.- 24. Authentication and Authorization.
Автор: Johnson, Mark J. Название: Concise introduction to programming in python, second edition ISBN: 1138082589 ISBN-13(EAN): 9781138082588 Издательство: Taylor&Francis Рейтинг: Цена: 7654.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This text provides a hands-on introduction to writing software in Python, with no prior programming experience required. It offers sections designed for approximately one class period each, and proceeds gradually from procedural to object-oriented design. Examples, exercises, and projects are included from diverse application domains.
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