Название: Super Pythonista: The Ultimate Guide to Python Programming from Beginner to Advanced, and Far Beyond - with Step-by-Step Instruction and Extensive Code Examples
Автор: Charles Kyriakou
Издательство: Independently published
Год: 2022
Страниц: 324
Язык: английский
Формат: pdf, epub
Размер: 22.6 MB

Welcome to "Super Pythonista: The Ultimate Guide to Python Programming from Beginner to Advanced, and Far Beyond with Step-by-Step Instruction and Extensive Code Examples.” Inside these pages, you'll find a comprehensive step-by-step guide to the Python programming language, with clear explanations and simple code examples to help you fully understand each concept. We'll start with the basics, covering topics like data types, variables, and control structures, and then move on to more advanced concepts like object-oriented programming, data manipulation, and working with external libraries, as well as many other advanced concepts. Throughout the book, you'll also find practical examples and project ideas to help you re-enforce your newfound knowledge and build real-world enterprise-grade code. By the time you finish this book, you'll have advanced skills in Python programming and be well on your way to becoming a "Super Pythonista"!

Название: PyTorch Recipes: A Problem-Solution Approach to Build, Train and Deploy Neural Network Models, 2nd Edition
Автор: Pradeepta Mishra
Издательство: Apress
Год: 2023
Страниц: 282
Язык: английский
Формат: pdf (true), epub (true)
Размер: 18.2 MB

Learn how to use PyTorch to build neural network models using code snippets updated for this second edition. This book includes new chapters covering topics such as distributed PyTorch modeling, deploying PyTorch models in production, and developments around PyTorch with updated code. You'll start by learning how to use tensors to develop and fine-tune neural network models and implement deep learning models such as LSTMs, and RNNs. Next, you'll explore probability distribution concepts using PyTorch, as well as supervised and unsupervised algorithms with PyTorch. This is followed by a deep dive on building models with convolutional neural networks, deep neural networks, and recurrent neural networks using PyTorch.

Название: Python Programming: Top Of The Stack
Автор: Darren Lefcoe
Издательство: Independently published
Год: 2022
Страниц: 390
Язык: английский
Формат: epub
Размер: 10.2 MB

How to improve your ranking, become a better Python programmer and a lateral thinker. Learn core concepts and the new practices of problem solving. Harness the immense community knowledge whilst challenging the errors with expertise. We explore common questions and answers that any coder will invariably encounter. Written by scientists and programmers who rank in the top 1% of contributors on the stackoverflow website and have consistently maintained this position for a significant period of time. This book demonstrates how you can achieve the same. Some of the contributions are work related and others are simply out of curiosity. Nevertheless, these are the questions, answers and techniques that will take you to the top of the stack. The community embraces you and will enjoy your feedback and contributions. Python is a programming language that lets you work quickly and integrate systems more effectively. Python is open source and free to use for anybody that has a computer and wants to learn.

Название: Image Co-segmentation
Автор: Avik Hati, Rajbabu Velmurugan, Sayan Banerjee
Издательство: Springer
Серия: Studies in Computational Intelligence
Год: 2023
Страниц: 231
Язык: английский
Формат: pdf (true), epub
Размер: 10.2 MB

This book presents and analyzes methods to perform image co-segmentation. In this book, the authors describe efficient solutions to this problem ensuring robustness and accuracy, and provide theoretical analysis for the same. Six different methods for image co-segmentation are presented. These methods use concepts from statistical mode detection, subgraph matching, latent class graph, region growing, graph CNN, conditional encoder–decoder network, meta-learning, conditional variational encoder–decoder, and attention mechanisms. The authors have included several block diagrams and illustrative examples for the ease of readers. This book is a highly useful resource to researchers and academicians not only in the specific area of image co-segmentation but also in related areas of image processing, graph neural networks, statistical learning, and few-shot learning. Image segmentation is a classical and well-known problem in image processing, where an image is partitioned into non-overlapping regions.

Название: Coding & Programming, Tricks and Tips - 13th Edition 2023
Автор: Papercut Limited
Издательство: Papercut Limited
Год: 2023
Язык: английский
Формат: pdf
Размер: 40,7 MB

Coding & Programming, Tricks and Tips - это идеальное цифровое издание для пользователей, которые хотят поднять свой набор навыков на новый уровень. Вы хотите улучшить свой пользовательский опыт? Или хотите получить инсайдерские знания? Вы хотите учиться непосредственно у экспертов в своей области? Узнать многочисленные короткие пути, которые используют профессионалы? На страницах нового руководства для продвинутых пользователей вы узнаете все, что вам нужно знать, чтобы стать более уверенным, умелым и опытным владельцем. Пользователем, который будет извлекать максимальную пользу из своего использования и, в конечном счете, из своих навыков программирования. Достижение, которое вы можете заслужить, просто позволив нам исключительно помогать и обучать вас тем навыкам, которые мы приобрели за десятилетия нашего опыта.

Название: Расширение библиотеки jQuery
Автор: Кит Вуд
Издательство: ДMK
Год: 2014
Страниц: 400
Формат: PDF
Размер: 16 Мб
Язык: русский

jQuery - одна из наиболее популярных библиотек для разработки клиентских сценариев на jаvascript. В ней предусмотрено большое количество точек интеграции, посредством которых можно добавлять собственные селекторы и фильтры, расширения, анимационные эффекты и многое другое. Эта книга покажет вам, как это делается. Из книги вы узнаете, как писать расширения и как проектировать их, чтобы максимально обеспечить возможность их многократного использования. Вы также научитесь писать новые виджеты и эффекты для jQuery UI. Наряду с этим вы исследуете особенности создания расширений для применения в таких ключевых аспектах библиотеки, как технология Ajax, события, анимация и проверка данных.

Название: Software Development with Go: Cloud-Native Programming using Golang with Linux and Docker
Автор: Nanik Tolaram
Издательство: Apress
Год: 2023
Страниц: 388
Язык: английский
Формат: pdf (true), epub (true)
Размер: 14.7 MB

Gain insights into the different challenges that can be solved using Go, with a focus on containers, Linux, security, networking, user interfaces and other relevant cloud based topics. This book reviews the necessary tools to create container-based cloud solutions with Go, a programming language that was born out of the need to address scalable, high availability cloud computing architecture needs inside Google. Go, also known as Golang, has been adopted across different industries and products with many popular Open Source projects that power cloud computing technologies such as Docker and Kubernetes being written with Go.

Название: Знакомство с программированием на языке Processing
Автор: Риас К., Фрай Б.
Издательство: ДMK
Год: 2021
Cтраниц: 196
Формат: pdf
Размер: 15 мб
Язык: русский

Изучите компьютерное программирование с помощью Processing – простого языка, предназначенного для создания рисунков, анимации и интерактивной графики. Курсы программирования обычно начинаются с теории, но эта книга сразу же переходит к творческим и занимательным проектам. Она идеально подходит для всех, кто хочет научиться программировать, и служит простым введением в компьютерную графику для людей, которые уже имеют некоторые навыки программирования.

Название: Principles of Big Graph: In-depth Insight
Автор: Ripon Patgiri, Ganesh Chandra Deka, Anupam Biswas
Издательство: Academic Press/Elsevier
Год: 2023
Страниц: 460
Язык: английский
Формат: pdf (true), epub
Размер: 43.6 MB

Fast exact triangle counting in large graphs using SIMD acceleration, A comprehensive investigation on attack graphs, Qubit representation of a binary tree and its operations in quantum computation, Modified ML-KNN: Role of similarity measures and nearest neighbor configuration in multi label text classification on big social network graph data, Big graph based online learning through social networks, Community detection in large-scale real-world networks, Power rank: An interactive web page ranking algorithm, GA based energy efficient modelling of a wireless sensor network, The major challenges of big graph and their solutions: A review, and An investigation on socio-cyber crime graph. Big Graph is an emerging research field that is gaining enormous popularity among academicians, industrialists, and practitioners. The Big Graph is applied in research areas such as bioinformatics, social systems administration, computer networking, complex networks, and data streaming. Big Graph technology is also used for biological networks, scholar article citation networks, protein–protein interaction, and semantic networks.

Название: Data Science, Analytics and Machine Learning with R
Автор: Luiz Paulo Favero, Patrícia Belfiore, Rafael de Freitas Souza
Издательство: Academic Press/Elsevier
Год: 2023
Страниц: 662
Язык: английский
Формат: epub (true)
Размер: 155.1 MB

Data Science, Analytics and Machine Learning with R explains the principles of data mining and Machine Learning techniques and accentuates the importance of applied and multivariate modeling. The book emphasizes the fundamentals of each technique, with step-by-step codes and real-world examples with data from areas such as medicine and health, biology, engineering, technology and related sciences. Examples use the most recent R language syntax, with recognized robust, widespread and current packages. Code scripts are exhaustively commented, making it clear to readers what happens in each command. For data collection, readers are instructed how to build their own robots from the very beginning. Presents a comprehensive and practical overview of Machine Learning, data mining and AI techniques for a broad multidisciplinary audience Serves readers who are interested in statistics, analytics and modeling, and those who wish to deepen their knowledge in programming through the use of R. Teaches readers how to apply machine learning techniques to a wide range of data and subject areas Presents data in a graphically appealing way, promoting greater information transparency and interactive learning.