Handbook of Computer Programming with Python

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Go Programming CookbookChapter 1: Setting up and Exploring GoChapter 2: Advanced Go Features and TechniquesChapter 3: File Handling and Data Processing in GoChapter 4: Building and Managing Go APIsChapter 5: Implementing RPC and gRPC Services in GoChapter 6: Web Services and Automation Using GoChapter 7: Building Microservices Architecture Using GoChapter 8: Strengthening Database InteractionsChapter 9: Enhancing Performance and Best Practices in GoChapter 10: Networking and Protocol Handling
Описание
В этом материале разберём тему: programming.
This handbook provides a hands-on experience based on the underlying topics, and assists students and faculty members in developing their algorithmic thought process and programs for given computational problems. It can also be used by professionals who possess the necessary theoretical and computational thinking background but are presently making their transition to Python.
Key Features:Discusses concepts such as basic programming principles, OOP principles, database programming, GUI programming, application development, data analytics and visualization, statistical analysis, virtual reality, data structures and algorithms, machine learning, and deep learning
Provides the code and the output for all the concepts discussed
Includes a case study at the end of each chapter
This handbook will benefit students of computer science, information systems, and information technology, or anyone who is involved in computer programming (entry-to-intermediate level), data analytics, HCI-GUI, and related disciplines.
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В каком формате и какого размера файл?
Книга предоставляется в формате PDF, размер файла 6,7 МБ.
Кто автор и когда вышла книга?
автор — Manolas Christos , Wang Han-I , Xanthidis Dimitrios , Xanthidou Ourania K., издательство CRC Press is an imprint of Taylor & Francis Group, LLC, год выпуска 2023, 612 страниц.
О чём книга «Handbook of Computer Programming with Python»?
This handbook provides a hands-on experience based on the underlying topics, and assists students and faculty members in developing their algorithmic thought process and programs for given computational problems.