📚Java: The Complete Reference, Eleventh Edition
✍🏻Herbert Schildt (2019)
▪️Fully updated for Java SE 11, Java: The Complete Reference, Eleventh Edition explains how to develop, compile, debug, and run Java programs. Best-selling programming author Herb Schildt covers the entire Java language, including its syntax, keywords, and fundamental programming principles. You’ll also find information on key portions of the Java API library, such as I/O, the Collections Framework, the stream library, and the concurrency utilities. Swing, JavaBeans, and servlets are examined and numerous examples demonstrate Java in action. Of course, the very important module system is discussed in detail. This Oracle Press resource also offers an introduction to JShell, Java’s interactive programming tool. Best of all, the book is written in the clear, crisp, uncompromising style that has made Schildt the choice of millions worldwide.
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✍🏻Herbert Schildt (2019)
▪️Fully updated for Java SE 11, Java: The Complete Reference, Eleventh Edition explains how to develop, compile, debug, and run Java programs. Best-selling programming author Herb Schildt covers the entire Java language, including its syntax, keywords, and fundamental programming principles. You’ll also find information on key portions of the Java API library, such as I/O, the Collections Framework, the stream library, and the concurrency utilities. Swing, JavaBeans, and servlets are examined and numerous examples demonstrate Java in action. Of course, the very important module system is discussed in detail. This Oracle Press resource also offers an introduction to JShell, Java’s interactive programming tool. Best of all, the book is written in the clear, crisp, uncompromising style that has made Schildt the choice of millions worldwide.
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📚Легкий способ выучить Python 3: уникальная методика обучения программированию для начинающих
✍🏻Зед А. Шоу (2019)
▪️Новая книга автора знаменитого бестселлера-самоучителя «Легкий способ выучить Python» (основана на примерах из Python-2), Зеда Шоу, поможет вам с не меньшей легкостью освоить Python-3. Как и прежде, автор использует свою уникальную методику обучения, ставшую его визитной карточкой: тщательно отобранные и проверенные тысячами людей практические примеры, подкрепленные видеоуроками, размещенными на авторском сайте, и легкий юмор, поднимающий читателям настроение и позволяющий поверить в себя.
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✍🏻Зед А. Шоу (2019)
▪️Новая книга автора знаменитого бестселлера-самоучителя «Легкий способ выучить Python» (основана на примерах из Python-2), Зеда Шоу, поможет вам с не меньшей легкостью освоить Python-3. Как и прежде, автор использует свою уникальную методику обучения, ставшую его визитной карточкой: тщательно отобранные и проверенные тысячами людей практические примеры, подкрепленные видеоуроками, размещенными на авторском сайте, и легкий юмор, поднимающий читателям настроение и позволяющий поверить в себя.
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📚Big Data Analytics: A Hands-On Approach
✍🏻Arshdeep Bahga, Vijay Madisetti (2019)
▪️The book is organized into three main parts, comprising a total of twelve chapters.
Part I provides an introduction to big data, applications of big data, and big data science and analytics patterns and architectures. Part II introduces the reader to various tools and frameworks for big data analytics, and the architectural and programming aspects of these frameworks as used in the proposed design methodology. Part III focuses advanced topics on big data including analytics algorithms and data visualization tools. The chapter on analytics algorithms introduces the reader to machine learning algorithms for clustering, classification, regression and recommendation systems, with examples using the Spark MLlib and H2O frameworks. The chapter on data visualization describes examples of creating various types of visualizations using frameworks such as Lightning, pygal and Seaborn.
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✍🏻Arshdeep Bahga, Vijay Madisetti (2019)
▪️The book is organized into three main parts, comprising a total of twelve chapters.
Part I provides an introduction to big data, applications of big data, and big data science and analytics patterns and architectures. Part II introduces the reader to various tools and frameworks for big data analytics, and the architectural and programming aspects of these frameworks as used in the proposed design methodology. Part III focuses advanced topics on big data including analytics algorithms and data visualization tools. The chapter on analytics algorithms introduces the reader to machine learning algorithms for clustering, classification, regression and recommendation systems, with examples using the Spark MLlib and H2O frameworks. The chapter on data visualization describes examples of creating various types of visualizations using frameworks such as Lightning, pygal and Seaborn.
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📚Flask Web Development: Developing Web Applications With Python
✍🏻Miguel Grinberg (2018)
▪️Take full creative control of your web applications with Flask, the Python-based microframework. With the second edition of this hands-on book, you’ll learn Flask from the ground up by developing a complete, real-world application created by author Miguel Grinberg. This refreshed edition accounts for important technology changes that have occurred in the past three years.
Explore the framework’s core functionality, and learn how to extend applications with advanced web techniques such as database migrations and an application programming interface. The first part of each chapter provides you with reference and background for the topic in question, while the second part guides you through a hands-on implementation.
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✍🏻Miguel Grinberg (2018)
▪️Take full creative control of your web applications with Flask, the Python-based microframework. With the second edition of this hands-on book, you’ll learn Flask from the ground up by developing a complete, real-world application created by author Miguel Grinberg. This refreshed edition accounts for important technology changes that have occurred in the past three years.
Explore the framework’s core functionality, and learn how to extend applications with advanced web techniques such as database migrations and an application programming interface. The first part of each chapter provides you with reference and background for the topic in question, while the second part guides you through a hands-on implementation.
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📚Microsoft Visual C# Step by Step
✍🏻John Sharp (2018)
▪️Your hands-on guide to Microsoft Visual C# fundamentals with Visual Studio 2017
Expand your expertise and teach yourself the fundamentals of programming with the latest version of Visual C# with Visual Studio 2017. If you are an experienced software developer, you’ll get all the guidance, exercises, and code you need to start building responsive, scalable, cloud-connected applications that can run almost anywhere.
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✍🏻John Sharp (2018)
▪️Your hands-on guide to Microsoft Visual C# fundamentals with Visual Studio 2017
Expand your expertise and teach yourself the fundamentals of programming with the latest version of Visual C# with Visual Studio 2017. If you are an experienced software developer, you’ll get all the guidance, exercises, and code you need to start building responsive, scalable, cloud-connected applications that can run almost anywhere.
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📚Docker in Practice
✍🏻Ian Miell, Aiden Hobson Sayers (2019)
▪️Docker in Practice, Second Edition presents over 100 practical techniques, hand-picked to help you get the most out of Docker. Following a Problem/Solution/Discussion format, you'll walk through specific examples that you can use immediately, and you'll get expert guidance on techniques that you can apply to a whole range of scenarios.
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✍🏻Ian Miell, Aiden Hobson Sayers (2019)
▪️Docker in Practice, Second Edition presents over 100 practical techniques, hand-picked to help you get the most out of Docker. Following a Problem/Solution/Discussion format, you'll walk through specific examples that you can use immediately, and you'll get expert guidance on techniques that you can apply to a whole range of scenarios.
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📚Advanced Data Science and Analytics with Python
✍🏻Jesús Rogel-Salazar (2020)
▪️Advanced Data Science and Analytics with Python
enables data scientists to continue developing their skills and apply them in business as well as academic settings. The subjects discussed in this book are complementary and a follow-up to the topics discussed in Data Science and Analytics with Python. The aim is to cover important advanced areas in data science using tools developed in Python such as SciKit-learn, Pandas, Numpy, Beautiful Soup, NLTK, NetworkX and others. The model development is supported by the use of frameworks such as Keras, TensorFlow and Core ML, as well as Swift for the development of iOS and MacOS application
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✍🏻Jesús Rogel-Salazar (2020)
▪️Advanced Data Science and Analytics with Python
enables data scientists to continue developing their skills and apply them in business as well as academic settings. The subjects discussed in this book are complementary and a follow-up to the topics discussed in Data Science and Analytics with Python. The aim is to cover important advanced areas in data science using tools developed in Python such as SciKit-learn, Pandas, Numpy, Beautiful Soup, NLTK, NetworkX and others. The model development is supported by the use of frameworks such as Keras, TensorFlow and Core ML, as well as Swift for the development of iOS and MacOS application
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📚Программирование на Rust
✍🏻Стив Клабник, Кэрол Николс (2021)
▪️Авторы книги входят в команду разработчиков языка, а значит, вы получите всю информацию из первых рук – от установки языка до создания надежных и масштабируемых программ. От создания функций, выбора типов данных и привязки переменных вы перейдете к более сложным концепциям:
Владение и заимствование, жизненный цикл и типажи.
Гарантированная безопасность программ.
Тестирование, обработка ошибок и эффективный рефакторинг.
Обобщения, умные указатели, многопоточность, типажные объекты и сопоставления.
Работа со встроенным менеджером пакетов Cargo для создания, тестирования, документирования кода и управления зависимостями.
Продвинутые средства работы с Unsafe Rust.
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✍🏻Стив Клабник, Кэрол Николс (2021)
▪️Авторы книги входят в команду разработчиков языка, а значит, вы получите всю информацию из первых рук – от установки языка до создания надежных и масштабируемых программ. От создания функций, выбора типов данных и привязки переменных вы перейдете к более сложным концепциям:
Владение и заимствование, жизненный цикл и типажи.
Гарантированная безопасность программ.
Тестирование, обработка ошибок и эффективный рефакторинг.
Обобщения, умные указатели, многопоточность, типажные объекты и сопоставления.
Работа со встроенным менеджером пакетов Cargo для создания, тестирования, документирования кода и управления зависимостями.
Продвинутые средства работы с Unsafe Rust.
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📚The Design of Web APIs
✍🏻Arnaud Lauret (2019)
▪️The Design of Web APIs is a practical, example-packed guide to crafting extraordinary web APIs. Author Arnaud Lauret demonstrates fantastic design principles and techniques you can apply to both public and private web APIs.
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✍🏻Arnaud Lauret (2019)
▪️The Design of Web APIs is a practical, example-packed guide to crafting extraordinary web APIs. Author Arnaud Lauret demonstrates fantastic design principles and techniques you can apply to both public and private web APIs.
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📚Django 3 Web Development Cookbook
✍🏻Aidas Bendoraitis, Jake Kronika (2020)
▪️Django is a web framework for perfectionists with deadlines, designed to help you build manageable medium and large web projects in a short time span. This fourth edition of Django Web Development Cookbook is updated with Django 3's latest features to guide you effectively through the development process. This Django book starts by helping you create a virtual environment and project structure for building Python web apps. You'll learn how to build models, views, forms, and templates for your web apps and then integrate JavaScript in your Django apps to add more features. As you advance, you'll create responsive multilingual websites, ready to be shared on social networks. The book will take you through uploading and processing images, rendering data in HTML5, PDF, and Excel, using and creating APIs, and navigating different data types in Django. You'll become well-versed in security best practices and caching techniques to enhance your website's security and speed. This edition not only helps you work with the PostgreSQL database but also the MySQL database. You'll also discover advanced recipes for using Django with Docker and Ansible in development, staging, and production environments. By the end of this book, you will have become proficient in using Django's powerful features and will be equipped to create robust websites.
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✍🏻Aidas Bendoraitis, Jake Kronika (2020)
▪️Django is a web framework for perfectionists with deadlines, designed to help you build manageable medium and large web projects in a short time span. This fourth edition of Django Web Development Cookbook is updated with Django 3's latest features to guide you effectively through the development process. This Django book starts by helping you create a virtual environment and project structure for building Python web apps. You'll learn how to build models, views, forms, and templates for your web apps and then integrate JavaScript in your Django apps to add more features. As you advance, you'll create responsive multilingual websites, ready to be shared on social networks. The book will take you through uploading and processing images, rendering data in HTML5, PDF, and Excel, using and creating APIs, and navigating different data types in Django. You'll become well-versed in security best practices and caching techniques to enhance your website's security and speed. This edition not only helps you work with the PostgreSQL database but also the MySQL database. You'll also discover advanced recipes for using Django with Docker and Ansible in development, staging, and production environments. By the end of this book, you will have become proficient in using Django's powerful features and will be equipped to create robust websites.
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📚Как создать сайт. Комикс-путеводитель по HTML, CSS и WordPress
✍🏻Нейт Купер (2019)
▪️Пытаясь сделать сайт для своего портфолио, художница Ким попадает на удивительную планету. Чтобы вернуться домой, ей придется выучить азы HTML, победить злобного дракона 404, подружиться с веб-гуру и доброй колдуньей CSS и выяснить, что таится за стенами WordPress-сити.
В формате увлекательного комикса книга познакомит детей с языками HTML и CSS, а также с конструктором сайтов WordPress.
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✍🏻Нейт Купер (2019)
▪️Пытаясь сделать сайт для своего портфолио, художница Ким попадает на удивительную планету. Чтобы вернуться домой, ей придется выучить азы HTML, победить злобного дракона 404, подружиться с веб-гуру и доброй колдуньей CSS и выяснить, что таится за стенами WordPress-сити.
В формате увлекательного комикса книга познакомит детей с языками HTML и CSS, а также с конструктором сайтов WordPress.
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📚1400 задач по программированию
✍🏻Д. Златопольский (2020)
▪️Овладеть искусством программирования невозможно без решения задач разного типа и уровня сложности. В данной книге читатель найдет более 1400 задач, охватывающих широкий круг тем: вычисления по формулам, обработка данных во время ввода, использование массивов и многие другие.
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✍🏻Д. Златопольский (2020)
▪️Овладеть искусством программирования невозможно без решения задач разного типа и уровня сложности. В данной книге читатель найдет более 1400 задач, охватывающих широкий круг тем: вычисления по формулам, обработка данных во время ввода, использование массивов и многие другие.
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📚Реактивное программирование на C++
✍🏻Прасид Пай, Питер Абрахам (2019)
▪️В книге изложены понятия и принципы функционального реактивного программирования, помогающие строить параллельные, асинхронные приложения с наименьшими усилиями и минимумом ошибок. Реактивное программирование – парадигма программирования, ориентированная на потоки данных и распространение изменений, это путь для лёгкого создания пользовательских интерфейсов, анимации или моделирования систем, изменяющихся во времени.
Всесторонне рассмотрена библиотека RxCpp, описана разработка реактивных микросервисов на C++, а также использование библиотеки Qt/C++ в реактивном стиле. Изучив эту книгу, вы будете хорошо разбираться в тонкостях реактивной модели программирования и методах её реализации на новейшей версии стандарта C++17.
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✍🏻Прасид Пай, Питер Абрахам (2019)
▪️В книге изложены понятия и принципы функционального реактивного программирования, помогающие строить параллельные, асинхронные приложения с наименьшими усилиями и минимумом ошибок. Реактивное программирование – парадигма программирования, ориентированная на потоки данных и распространение изменений, это путь для лёгкого создания пользовательских интерфейсов, анимации или моделирования систем, изменяющихся во времени.
Всесторонне рассмотрена библиотека RxCpp, описана разработка реактивных микросервисов на C++, а также использование библиотеки Qt/C++ в реактивном стиле. Изучив эту книгу, вы будете хорошо разбираться в тонкостях реактивной модели программирования и методах её реализации на новейшей версии стандарта C++17.
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📚Linux All-In-One For Dummies, 6th Edition
✍🏻Emmett Dulaney (2018)
▪️8 mini books chock full of Linux!
Inside, over 800 pages of Linux topics are organized into eight task-oriented mini books that help you understand all aspects of the latest OS distributions of the most popular open-source operating system in use today. Topics include getting up and running with basics, desktops, networking, internet services, administration, security, scripting, Linux certification, and more.
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✍🏻Emmett Dulaney (2018)
▪️8 mini books chock full of Linux!
Inside, over 800 pages of Linux topics are organized into eight task-oriented mini books that help you understand all aspects of the latest OS distributions of the most popular open-source operating system in use today. Topics include getting up and running with basics, desktops, networking, internet services, administration, security, scripting, Linux certification, and more.
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📚Building Machine Learning Powered Applications: Going From Idea to Product
✍🏻Emmanuel Ameisen (2020)
▪️Learn the skills necessary to design, build, and deploy applications powered by machine learning. Through the course of this hands-on book, you’ll build an example ML-driven application from initial idea to deployed product. Data scientists, software engineers, and product managers with little or no ML experience will learn the tools, best practices, and challenges involved in building a real-world ML application step-by-step.
Author Emmanuel Ameisen, who worked as a data scientist at Zipcar and led Insight Data Science’s AI program, demonstrates key ML concepts with code snippets, illustrations, and screenshots from the book’s example application.
The first part of this guide shows you how to plan and measure success for an ML application. Part II shows you how to build a working ML model, and Part III explains how to improve the model until it fulfills your original vision. Part IV covers deployment and monitoring strategies.
This book will help you:
Determine your product goal and set up a machine learning problem
Build your first end-to-end pipeline quickly and acquire an initial dataset
Train and evaluate your ML model and address performance bottlenecks
Deploy and monitor models in a production environment
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✍🏻Emmanuel Ameisen (2020)
▪️Learn the skills necessary to design, build, and deploy applications powered by machine learning. Through the course of this hands-on book, you’ll build an example ML-driven application from initial idea to deployed product. Data scientists, software engineers, and product managers with little or no ML experience will learn the tools, best practices, and challenges involved in building a real-world ML application step-by-step.
Author Emmanuel Ameisen, who worked as a data scientist at Zipcar and led Insight Data Science’s AI program, demonstrates key ML concepts with code snippets, illustrations, and screenshots from the book’s example application.
The first part of this guide shows you how to plan and measure success for an ML application. Part II shows you how to build a working ML model, and Part III explains how to improve the model until it fulfills your original vision. Part IV covers deployment and monitoring strategies.
This book will help you:
Determine your product goal and set up a machine learning problem
Build your first end-to-end pipeline quickly and acquire an initial dataset
Train and evaluate your ML model and address performance bottlenecks
Deploy and monitor models in a production environment
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📚Python Basics: A Self-Teaching Introduction
✍🏻H. Bhasin (2019)
▪️This book is designed for use as a primary introduction to Python and can be used as an introductory text or as a resource for professionals in industry. The book has been divided into four sections. The first section deals with the language fundamentals, primarily the procedural part of the language, the second introduces the object-oriented paradigms, the third section deals with data structures, and the last is devoted to advanced topics like handling multi-dimensional arrays using NumPy and visualization using Matplotlib. Regular expressions and multi-threading have been introduced in the appendices.
▪️FEATURES
• Includes sections dedicated to data structures
• Offers in-depth treatment of topics such as classes, inheritance, BST, and NumPy
• Introduces topics like Matplotlib and PIL
• Contains exercises for practice and a review of essential programming concepts
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✍🏻H. Bhasin (2019)
▪️This book is designed for use as a primary introduction to Python and can be used as an introductory text or as a resource for professionals in industry. The book has been divided into four sections. The first section deals with the language fundamentals, primarily the procedural part of the language, the second introduces the object-oriented paradigms, the third section deals with data structures, and the last is devoted to advanced topics like handling multi-dimensional arrays using NumPy and visualization using Matplotlib. Regular expressions and multi-threading have been introduced in the appendices.
▪️FEATURES
• Includes sections dedicated to data structures
• Offers in-depth treatment of topics such as classes, inheritance, BST, and NumPy
• Introduces topics like Matplotlib and PIL
• Contains exercises for practice and a review of essential programming concepts
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⚙️Секреты Python Pro
✍🏻Хиллард Д. (2021)
▪️Книга «Секреты Python Pro» научит проектировать ПО и писать качественный код, то есть делать его понятным, сопровождаемым и расширяемым.
Дейн Хиллард — профессиональный питонист, — с помощью примеров и упражнений он покажет вам как разбивать код на блоки, повышать качество за счет снижения сложности и т. д. Только освоив основополагающие принципы, вы сможете сделать так, чтобы чтение, сопровождение и переиспользование вашего кода не доставляло проблем ни вам ни вашим коллегам.
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✍🏻Хиллард Д. (2021)
▪️Книга «Секреты Python Pro» научит проектировать ПО и писать качественный код, то есть делать его понятным, сопровождаемым и расширяемым.
Дейн Хиллард — профессиональный питонист, — с помощью примеров и упражнений он покажет вам как разбивать код на блоки, повышать качество за счет снижения сложности и т. д. Только освоив основополагающие принципы, вы сможете сделать так, чтобы чтение, сопровождение и переиспользование вашего кода не доставляло проблем ни вам ни вашим коллегам.
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📚JavaScript: The Definitive Guide: Master the World's Most-Used Programming Language
✍🏻David Flanagan (2020)
▪️JavaScript is the programming language of the web and is used by more software developers today than any other programming language. For nearly 25 years this best seller has been the go-to guide for JavaScript programmers. The seventh edition is fully updated to cover the 2020 version of JavaScript, and new chapters cover classes, modules, iterators, generators, Promises, async/await, and metaprogramming. You’ll find illuminating and engaging example code throughout.
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✍🏻David Flanagan (2020)
▪️JavaScript is the programming language of the web and is used by more software developers today than any other programming language. For nearly 25 years this best seller has been the go-to guide for JavaScript programmers. The seventh edition is fully updated to cover the 2020 version of JavaScript, and new chapters cover classes, modules, iterators, generators, Promises, async/await, and metaprogramming. You’ll find illuminating and engaging example code throughout.
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📚Introduction to Python Programming
✍🏻Gowrishankar S., Veena A. (2019)
▪️This book presents an intuitive approach to the concepts of Python Programming for
students. It is appropriate for courses generally known as “Introduction to Python
Programming.” We have tried to write a book that assists students in discovering the
power of Python programming. We have taken into account the reality that students taking
“Introduction to Python Programming” course are likely to come from a variety of disciplines.
In addition to Computer Science majors, there tend to be students from other
majors like other engineering streams, physics, chemistry, biology, environmental science,
geography, economics, psychology and business.
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@itlibrary
✍🏻Gowrishankar S., Veena A. (2019)
▪️This book presents an intuitive approach to the concepts of Python Programming for
students. It is appropriate for courses generally known as “Introduction to Python
Programming.” We have tried to write a book that assists students in discovering the
power of Python programming. We have taken into account the reality that students taking
“Introduction to Python Programming” course are likely to come from a variety of disciplines.
In addition to Computer Science majors, there tend to be students from other
majors like other engineering streams, physics, chemistry, biology, environmental science,
geography, economics, psychology and business.
🔥Скачать
@itlibrary
📚Deep Learning with JavaScript: Neural networks in TensorFlow.js
✍🏻Shanqing Cai, Stan Bileschi, Eric Nielsen (2020)
👁🗨Deep learning has transformed the fields of computer vision, image processing, and natural language applications. Thanks to TensorFlow.js, now JavaScript developers can build deep learning apps without relying on Python or R. Deep Learning with JavaScript shows developers how they can bring DL technology to the web. Written by the main authors of the TensorFlow library, this new book provides fascinating use cases and in-depth instruction for deep learning apps in JavaScript in your browser or on Node.
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@itlibrary
✍🏻Shanqing Cai, Stan Bileschi, Eric Nielsen (2020)
👁🗨Deep learning has transformed the fields of computer vision, image processing, and natural language applications. Thanks to TensorFlow.js, now JavaScript developers can build deep learning apps without relying on Python or R. Deep Learning with JavaScript shows developers how they can bring DL technology to the web. Written by the main authors of the TensorFlow library, this new book provides fascinating use cases and in-depth instruction for deep learning apps in JavaScript in your browser or on Node.
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@itlibrary
