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: Random House (USA) Рейтинг: Цена: 13794.00 р. Наличие на складе: Ожидается поступление.
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: Johnson, Mark J. Название: Concise introduction to programming in python, second edition ISBN: 1138082589 ISBN-13(EAN): 9781138082588 Издательство: Taylor&Francis Рейтинг: Цена: 8114.00 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.
Автор: Johnson Название: A Concise Introduction to Programming in Python ISBN: 1138082554 ISBN-13(EAN): 9781138082557 Издательство: Taylor&Francis Рейтинг: Цена: 26030.00 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.
Название: Introduction to Python for the Computer and Data Sciences ISBN: 0135404673 ISBN-13(EAN): 9780135404676 Издательство: Pearson Education Рейтинг: Цена: 14468.00 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.
Inside this book you will find all the basic notions to start with Python and all the programming concepts to implement predictive analytics. With our proven strategies you will write efficient Python codes in less than a week!
Описание: Have you always wanted to learn computer programming but you're worried it will take too long? Would you like to automate something simple with your PC but you don't know how to do it? Or maybe you know other programming languages and are interested in learning Python quickly?
As a beginner you might think that programming is difficult and the possibility to give up before mastering it could be high... So, if you have a project to develop you could think on hiring a programmer to shorten the time. This may seem like a good idea but it is certainly very expensive. Otherwise you could waste your time pursuing tutorials online.
The best solution is to follow a complete programming manual with hands-on projects and practical exercises.
What you will find inside and a quick overview of the main topics:
✓ Why Python is considered the best programming language for a beginner
✓ The most common mistakes to avoid when you start programming
✓ BOOK 1: PYTHON PROGRAMMING
- The 7 built-in functions to make your life easier while coding a software program
- The program you need to develop your first own application
✓ BOOK 2: PYTHON MACHINE LEARNING
- The algorithms that will make your life easier
- The 2 libraries you need implementing to develop the desired ML models
✓ BOOK 3: PYTHON DATA SCIENCE
- 3 actions required to gain insights from big data
- A simple method to implement predictive analytics
✓ Some projects to write Python codes in less than a week
✓ Quizzes at the end of every chapter to review immediately what you've learned
Why is this book different?
Computer Programming Academy structured these guides as a course with seven chapters for seven days with special exercises for each section.This protocol, tested on both beginners and people who were already familiar with coding, takes advantage of the principle of diving, concentrating learning in one week. The result? The content of the course was learned faster and remembered longer.
Even if you're completely new to programming in 2020 or you are just looking to widen your skills as programmer this book is perfect for you.
Now's the best time to begin learning Python... click the "BUY NOW" button and get started
Автор: Brown, Taylor R. Название: An Introduction to R and Python for Data Analysis ISBN: 1032203250 ISBN-13(EAN): 9781032203256 Издательство: Taylor&Francis Рейтинг: Цена: 13320.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Igual, Laura, Segu?, Santi Название: Introduction to data science. ISBN: 3319500163 ISBN-13(EAN): 9783319500164 Издательство: Springer Рейтинг: Цена: 6841.00 р. Наличие на складе: Поставка под заказ.
Описание: The coverage spans key concepts adopted from statistics and machine learning, useful techniques for graph analysis and parallel programming, and the practical application of data science for such tasks as building recommender systems or performing sentiment analysis.
Автор: Fehr Hans Название: Introduction to Computational Economics Using Fortran ISBN: 0198850379 ISBN-13(EAN): 9780198850373 Издательство: Oxford Academ Рейтинг: Цена: 7869.00 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: Perros, Harry G. Название: An Introduction to IoT Analytics ISBN: 0367686317 ISBN-13(EAN): 9780367686314 Издательство: Taylor&Francis Рейтинг: Цена: 7808.00 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: 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.
ООО "Логосфера " Тел:+7(495) 980-12-10 www.logobook.ru
