Название: Julia as a Second Language (MEAP v8)
Автор: Erik Engheim
Издательство: Manning Publications
Год: 2022
Страниц: 308
Язык: английский
Формат: pdf (true)
Размер: 12.1 MB

Learn Julia programming by building fun projects, like launching rockets, building password keepers, and even coding battle simulations. Don’t be put off by Julia’s reputation as a scientific programming language. There’s no data science or numerical computing knowledge required. You can get started with what you learned in high school math classes. Julia as a Second Language makes it easy to add Julia to your programming toolbox. You’ll learn about Julia’s type system and data structures by modeling the launch of a space rocket, use dictionaries to parse Roman numerals, discover tuples and arrays through tracking pizza sales, and use Julia’s unique multiple dispatch feature to send knights and archers into a simulated battle.

Название: Deep Learning Applications, Volume 4
Автор: M. Arif Wani, Vasile Palade
Издательство: Springer
Серия: Advances in Intelligent Systems and Computing
Год: 2023
Страниц: 394
Язык: английский
Формат: pdf (true)
Размер: 14.9 MB

Deep Learning systems, a class of multi-layered networks, are capable of automatically learning meaningful hierarchical representations from a variety of structured and unstructured data. Breakthroughs in Deep Learning (DL) allow us to generate new representations, extract knowledge, and draw inferences from raw images, video streams, text and speech, time series, and other complex data types. These powerful deep learning methods are being applied to new and exciting real-world problems in medical diagnostics, factory automation, public safety, environmental sciences, autonomous transportation, military applications, and much more. This book presents some applications of Deep Learning and includes novel architectures and Deep Learning techniques, which are described in fifteen chapters. Natural Language Processing (NLP) broadly describes the application of Computer Science and Machine Learning to natural language datasets, such as speech or text. The chapter "Language Models for Deep Learning Programming: A Case Study with Keras" explores the application of language models to programming languages and our work in constructing a dataset for the task. More particularly, we focus on the Keras programming language, a popular framework for implementing Deep Learning experiments.

Название: Hypermodern Python Tooling: Building Reliable Workflows for an Evolving Python Ecosystem (Early Release)
Автор: Claudio Jolowicz
Издательство: O’Reilly Media, Inc.
Год: 2022-11-01
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.2 MB

Keeping up with the Python ecosystem can be daunting. Its developer tooling doesn't provide the same out-of-the-box experience native to languages like Rust and Go. When it comes to long-term project maintenance or collaborating with others, every Python project faces the same problem: how to build reliable workflows beyond local development while staying in sync with the evolving ecosystem. With this hands-on guide, Python developers will learn how to forge the moving parts of a Python project into an easy-to-use toolchain, using state-of-the-art tools including Poetry, GitHub Actions, Dependabot, pytest, mypy, Flake8, and more. Author Claudio Jolowicz shows you how to create robust Python project structures, complete with unit tests, static analysis, code formatting, type checking, and documentation, as well as continuous integration and delivery.

Название: Делаем бота с Aiogram, SQLAlchemy (PostgreSQL) и Docker
Автор: Александр Бабаев
Издательство: Stepik
Год: 2022
Формат: PDF
Страниц: много
Размер: 37 Mb
Язык: Русский

Курс предназначен для людей, которые уже овладели языком Python, понимают что-такое ООП, хотят написать свой проект, но постоянно спотыкаются о непонимание работы с документацией библиотек/фреймворков и отсутствие идей для своего проекта.

Название: Artificial Intelligence for Cyber-Physical Systems Hardening
Автор: Issa Traore, Isaac Woungang, Sherif Saad
Издательство: Springer
Год: 2023
Страниц: 241
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

This book presents advances in security assurance for cyber-physical systems (CPS) and report on new Machine Learning (ML) and Artificial Intelligence (AI) approaches and technologies developed by the research community and the industry to address the challenges faced by this emerging field. Cyber-physical systems bridge the divide between cyber and physical-mechanical systems by combining seamlessly software systems, sensors, and actuators connected over computer networks. Through these sensors, data about the physical world can be captured and used for smart autonomous decision-making.

Название: Cultural Algorithms: Recent Advances
Автор: Shahin Jalili
Издательство: Springer
Год: 2022
Страниц: 277
Язык: английский
Формат: pdf (true), epub
Размер: 39.7 MB

This book covers the latest advances in Cultural Algorithms, their general framework, different variants, hybridized versions with other meta-heuristic and search techniques, and their applications. Cultural Algorithms (CAs) are meta-heuristic numerical optimization techniques inspired by the bio-cultural evolutionary theory, in which both types of vertical and horizontal learning behaviors are modeled. The book includes well-briefed basics of optimization and theoretical backgrounds of Cultural Algorithms in its initial chapters and then discusses their applications in different branches of science and engineering. It provides detailed mathematical formulations and algorithmic pseudo-codes of hybridized, extended, and multi-population variants of cultural algorithms. The book will serve the research students, fellows, professors, and industry professionals to implement real-time applications of Cultural Algorithms.

Название: WEB Парсинг на Python
Автор: Павел Хошев
Издательство: Stepik
Год: 2022
Формат: PDF
Страниц: много
Размер: 57 Mb
Язык: Русский

Этот курс для людей которые собираются изучать парсинг / скрапинг информации с веб-сайтов. Отлично подойдёт людям которые только начали изучать python и для тех кто уже имеет какой-то опыт. Парсинг отлично подходит для заработка на фриланс биржах. Беглый анализ любой фриланс биржи, покажет, что заказов хватает на всех.

Название: Web-программирование на Python: учебное пособие для СПО
Автор: Янцев В.В.
Издательство: Лань
Год: 2022
Страниц: 180
Язык: русский
Формат: pdf
Размер: 11.4 MB

В книге рассматривается web-программирование на «чистом» Python — то есть без применения популярных фреймворков. Автор последовательно проведет вас по всем этапам данной темы. Прочитав эту книгу, вы сможете настроить на своем компьютере полноценную среду разработки, состоящую из интерпретатора Python, сервера Apache и текстового редактора Notepad++. Научитесь работать с переменными, операторами, числами, строками, регулярными выражениями, списками, кортежами, множествами, датой и временем. Узнаете, как писать функции, читать содержимое каталогов, работать с файлами, подключать модули. На практике освоите создание несложных программ: вывода данных из форм, проверки адреса электронной почты, подсвечивания ссылок, бесконечной ленты новостей и других. Наконец, на завершающем этапе читателю предстоит написать простой, но вполне работоспособный сайт.

Название: Go Details & Tips 101
Автор: Tapir Liu
Издательство: Leanpub
Год: 2022-08-29 (v.1.19)
Язык: английский
Формат: pdf (true), mobi, epub
Размер: 10.1 MB

Want to understand Go language better? Here are about 80 Go programming details and tips for you! This book collects many details and provides several tips in Go programming. The details and tips are categorized into: syntax and semantics related, conversions related, comparisons related, runtime related, standard packages related. Most of the details are Go specific, but several of them are language independent.

Название: Biomedical and Other Applications of Soft Computing
Автор: Nguyen Hoang Phuong, Vladik Kreinovich
Издательство: Springer
Серия: Studies in Computational Intelligence
Год: 2023
Страниц: 277
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

This book describes current and potential use of Artificial Intelligence (AI) and Computational Intelligence (CI) techniques in biomedicine and other application areas. Medical applications range from general diagnostics to processing of X-ray images to e-medicine-related privacy issues. Medical community understandably prefers methods that have been successful other on other application areas, where possible mistakes are not that critical. This book describes many promising methods related to Deep Learning, fuzzy techniques, knowledge graphs, and Quantum Computing. In some cases, the existing Computational Intelligence techniques—often, after creative modifications—can be efficiently used in biomedical applications. However, biomedical problems are difficult. As a result, in many situations, the existing computational intelligence techniques are not sufficient to solve the corresponding problems. In such situations, we need to develop new techniques—and, ideally, first show their efficiency on other applications, to make sure that these techniques are indeed efficient. The fact that these techniques are efficient in so many different areas makes us hope that they will be useful in biomedical applications as well.