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Results 2861-2870 of 3054 (Search time: 0.007 seconds).
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  • Sách/Book

  • Python for data analysis : data wrangling with pandas, NumPy, and Jupyter

    • Authors: Wes McKinney (2022)

  • "Get the definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.9 and pandas 1.2, the third edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You'll learn the latest versions of pandas, NumPy, and Jupyter in the process. It's ideal for analysts new to Python and for Python programmers new to data science and scientific computing."
  • Sách/Book

  • SQL Cookbook: Query Solutions and Techniques for All SQL Users

    • Authors: Anthony Molinaro (2020)

  • This second edition applies a highly practical approach to Structured Query Language (SQL) so you can create and manipulate large stores of data. Based on real-world examples, this updated cookbook provides a framework to help you construct solutions and executable examples in severalflavors of SQL, including Oracle, DB2, SQL Server, MySQL, andPostgreSQL.
  • Sách/Book

  • Systems analysis & design, an object-oriented approach with UML

    • Authors: Alan Dennis (2021)

  • "The systems development life cycle (SDLC) is the process of understanding how an information system (IS) can support business needs by designing a system, building it, and delivering it to users. If you have taken a programming class or have programmed on your own, this probably sounds pretty simple. Unfortunately, it is not."
  • Sách/Book

  • Learning SQL : generate, manipulate, and retrieve data

    • Authors: Alan Beaulieu. (2020)

  • With the latest edition of this introductory guide, author Alan Beaulieu helps developers get up to speed with SQL fundamentals for writing database applications, performing administrative tasks, and generating reports. You’ll find new chapters on SQL and big data, analytic functions, and working with very large databases.
  • Sách/Book

  • Cryptography : theory and practice

    • Authors: Douglas R. Stinson (2019)

  • Through three editions, Cryptography: Theory and Practice, has been embraced by instructors and students. It offers a comprehensive primer for the subject’s fundamentals and features the most current advances. The fourth edition provides in-depth treatment of the methods and protocols that safeguard the information circulating around the world.
  • Sách/Book

  • Giáo trình lập trình Android

    • Authors: Trương Thị Ngọc Phượng (2014)

  • Giới thiệu sơ lược về Android và nền tảng Android. Hướng dẫn lập trình Android: Tạo ứng dụng, activity, thiết kế giao diện, xử lý sự kiện, intent và intent filter, widget, dialogs, Android menus và lưu trữ dữ liệu
  • Sách/Book

  • An Introduction to Programming and Computer Science with Python

    • Authors: Clayton Cafiero (2023)

  • This book serves as a gateway to understanding the core principles of computer science and programming through Python, an increasingly popular and accessible programming language. The content is structured progressively, beginning with introductory concepts and gradually transitioning into more complex topics. The initial chapters gently acclimate readers to Python's syntax and semantics, laying a solid foundation for practical programming tasks. As the journey unfolds, the reader is exposed to essential computer science principles such as algorithms, data structures, and problem-solving techniques. The latter sections delve deeper into specialized subjects, including object-oriented programming, web development basics, and data analysis, all structured in a way that fosters solid c...
  • Sách/Book

  • Unsupervised learning in space and time : a modern approach for computer vision using graph-based techniques and deep neural networks

    • Authors: Marius Leordeanu (2020)

  • This book addresses one of the most important unsolved problems in artificial intelligence: the task of learning, in an unsupervised manner, from massive quantities of spatiotemporal visual data that are available at low cost. The book covers important scientific discoveries and findings, with a focus on the latest advances in the field. Presenting a coherent structure, the book logically connects novel mathematical formulations and efficient computational solutions for a range of unsupervised learning tasks, including visual feature matching, learning and classification, object discovery, and semantic segmentation in video.