Название: Algorithms with JULIA: Optimization, Machine Learning, and Differential Equations Using the JULIA Language
Автор: Clemens Heitzinger
Издательство: Springer
Год: 2022
Страниц: 447
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

This book provides an introduction to modern topics in scientific computing and Machine Learning (ML), using JULIA to illustrate the efficient implementation of algorithms. In addition to covering fundamental topics, such as optimization and solving systems of equations, it adds to the usual canon of computational science by including more advanced topics of practical importance. In particular, there is a focus on partial differential equations and systems thereof, which form the basis of many engineering applications. Several chapters also include material on Machine Learning (artificial neural networks (ANN) and Bayesian estimation). The programming language used in this book is Julia. Julia is a highlevel, high-performance, and dynamic programming language that has been developed with scientific and technical computing in mind. It offers features that make it very well suited for computing in science, engineering, and Machine Learning. Its syntax is similar to other languages in this area, but it has been designed to embrace modern programming concepts. It is open source, and it comes with a compiler and an easy-to-use package system.

Название: Python für Kids: Programmieren lernen ohne Vorkenntnisse
Автор: Hans-Georg Schumann
Издательство: MITP
Год: 2023
Страниц: 336
Язык: немецкий/German
Формат: epub
Размер: 12.7 MB

Die Programmiersprache Python ist so beliebt, weil sie klar strukturiert, modern und leistungsstark ist. Hans-Georg Schumann zeigt dir in diesem Buch, wie leicht man damit Ideen in Programme umsetzen kann. Du lernst anhand vieler kleiner und zwei großer Spiele, einfache Programme zu schreiben, und verstehst schnell, was es mit Schleifen, Klassen, Verzweigungen und Funktionen auf sich hat. Auch die objektorientierte Programmierung kommt nicht zu kurz.

Название: Artificial Intelligence in Information and Communication Technologies, Healthcare and Education: A Roadmap Ahead
Автор: Parikshit N. Mahalle, Rajendra S. Talware, Ganesh C. Patil
Издательство: CRC Press
Год: 2023
Страниц: 251
Язык: английский
Формат: pdf (true)
Размер: 29.4 MB

Artificial Intelligence in Information and Communication Technologies, Healthcare and Education: A Roadmap Ahead is designed as a reference text and discusses inter-dependability, communication and effective control for the betterment of services through Artificial Intelligence (AI), as well as the challenges and path ahead for AI in computing and control across different domains of business and human life. The book accommodates technologies and application domains including backbone hardware, systems and methods for deployment, which help incorporating intelligence through different supervised and probabilistic learning approaches.

Название: Python. Исчерпывающее руководство
Автор: Бизли Дэвид
Издательство: Питер
Год: 2023
Формат: pdf
Страниц: 368
Размер: 12,1 Мб
Язык: русский

Разнообразие возможностей современного Python становится испытанием для разработчиков всех уровней. Как программисту на старте карьеры понять, с чего начать, чтобы это испытание не стало для него непосильным? Как опытному разработчику Python понять, эффективен или нет его стиль программирования? Как перейти от изучения отдельных возможностей к мышлению на Python на более глубоком уровне? «Python. Исчерпывающее руководство» отвечает на эти, а также на многие другие актуальные вопросы. Эта книга делает акцент на основополагающих возможностях Python (3.6 и выше), а примеры кода демонстрируют «механику» языка и учат структурировать программы, чтобы их было проще читать, тестировать и отлаживать. Дэвид Бизли знакомит нас со своим уникальным взглядом на то, как на самом деле работает этот язык программирования. Перед вами практическое руководство, в котором компактно изложены такие фундаментальные темы программирования, как абстракции данных, управление программной логикой, структура программ, функции, объекты и модули, лежащие в основе проектов Python любого масштаба.

Название: Bash for Data Scientists
Автор: Oswald Campesato
Издательство: Mercury Learning and Information
Год: 2023
Страниц: 293
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

The goal of this book is to introduce readers to an assortment of powerful command line utilities that can be combined to create simple yet powerful shell scripts for processing datasets. The code samples and scripts use the bash shell, and typically involve small datasets so that you can focus on understanding the features of Grep, Sed, and Awk. Aimed at a reader relatively new to working in a bash environment, the book is comprehensive enough to be a good reference and teach a few new tricks to those who already have some experience with creating shells scripts. The Chapter 7 requires basic knowledge of Python and Pandas, such as creating Pandas data frames, as well as reading and writing CSV files. Knowledge of the awk programming language is required for three shell scripts that invoke the awk command if you decide to read those code samples.

Название: Excel 2021 / Microsoft 365 Programming By Example
Автор: Julitta Korol
Издательство: Mercury Learning and Information
Год: 2023
Страниц: 1107
Язык: английский
Формат: pdf (true)
Размер: 38.09 MB

Updated for Excel 2021 and based on the bestselling editions from previous versions, Excel 2021 / Microsoft 365 Programming by Example is a practical, how-to book on Excel programming, suitable for readers already proficient with the Excel user interface. If you are looking to automate Excel routine tasks, this book will progressively introduce you to programming concepts via numerous illustrated hands-on exercises. More advanced topics are demonstrated via custom projects. From recording and editing a macro and writing VBA code from scratch to programming the Ribbon interface and working with XML documents, this book takes you on a programming journey that will change the way you work with Excel. The book provides information on performing automatic operations on files, folders, and other Microsoft Office applications. It also covers proper use of eventprocedures, testing and debugging, and guides you through programming more advanced Excel features, such as working with VBA classes and raising your own events in standalone class modules. Includes companion files with source code, hands-on projects, and figures.

Название: Docker на практике
Автор: Сейерс Э. Х. , Милл А.
Издательство: ДMK
Год: 2020
Cтраниц: 516
Формат: pdf (ocr)
Размер: 18 мб
Язык: русский

Данная книга научит вас надежным, проверенным методам, используемым Docker, таким как замена виртуальных машин, использование архитектуры микросервисов, эффективное моделирование сети, производительность в автономном режиме и создание процесса непрерывной доставки на базе контейнеров. Следуя формату «проблема/решение» в стиле поваренной книги, вы изучите реальные варианты использования Docker и узнаете, как применить их к собственным проектам. Издание предназначено разработчикам, использующих Docker в своем рабочем окружении.

Название: Pandas Basics
Автор: Oswald Campesato
Издательство: Mercury Learning and Information
Год: 2023
Страниц: 215
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

This book is intended for those who plan to become data scientists as well as anyonewho needs to perform data cleaning tasks using Pandas and NumPy. It contains a variety of code samples and features of NumPy and Pandas, and how to write regular expressions. Chapter 3 includes fundamental statistical concepts and Chapter 7 covers data visualization with Matplotlib and Seaborn. Companion files with code areavailable for downloading from the publisher.

Название: Publishing Python Packages: Test, share, and automate your projects (Final Release)
Автор: Dane Hillard
Издательство: Manning Publications
Год: 2023
Страниц: 250
Язык: английский
Формат: pdf (true)
Размер: 14.8 MB

Create masterful, maintainable Python packages! This book includes pro tips for design, automation, testing, deployment, and even release as an open source project! Everyone starts their Python journey in a different place. Regardless of how you start, you’ll eventually start working your way upstream to experience new sights and sounds. As the river narrows and the trees thicken, you may even start to think about how to deliver a Python application to others. There you find hulls of shattered projects around the entrance to a hidden cavern at the river's headwaters. Suddenly you hear a hollow voice ask, “What’s your favorite packaging tool?” right before you’re flung into a chasm. Python has something for everyone—and you’ll usually find it on the Python Package Index. PyPI brings about new challenges as you start to worry about installation, dependencies, environments, and other important matters related to using your software in the real world. This is where new open source packages are created and maintained. This is the starting point for this much-needed book. A quiet secret of most Python books is that nobody really wants to talk much about packaging (and I speak from experience).

Название: Julia for Data Analysis (Final Release)
Автор: Bogumil Kaminski
Издательство: Manning Publications
Год: 2023
Страниц: 474
Язык: английский
Формат: pdf (true)
Размер: 13.4 MB

Master core data analysis skills using Julia. Interesting hands-on projects guide you through time series data, predictive models, popularity ranking, and more. Julia was designed for the unique needs of data scientists: it's expressive and easy-to-use whilst also delivering super fast code execution. Julia for Data Analysis teaches you how to perform core Data Science tasks with this amazing language. This book does not require prior knowledge of advanced Machine Learning (ML) algorithms. This knowledge is not necessary for understanding the fundamentals of data analysis in Julia, and I do not discuss such models in this book. This book is for data scientists or data engineers who would like to learn how Julia can be used for data analysis. I assume that you have some experience in doing data analysis using a programming language such as R, Python, or MATLAB.