Mastering Python Design Patterns

A groundbreaking, authoritative explorationrich with powerful personal stories and convincing researchof the many ways the living can and do accompany the dying on their journey into the afterlife.In 2000, end-of-life therapist William Peters was volunteering at the Zen Hospice Project in San Francisco when he had an extraordinary experience as he was reading aloud to a patient: he suddenly felt himself floating in midair, completely out of his body. The patient, who was also aloft, looked at him and smiled. The next moment, Peters felt himself return to his bodybut the patient never regained consciousness and died. Perplexed and stunned by what had happened, Peters began searching for other people who'd shared similar experiences. He would spend the next twenty years gathering and meticulously categorizing their stories to identify key patterns and features of what is now known as the ';shared crossing' experience. The similarities, which cut across continents and cultures and include

An in-depth study of waste, examining the effects the increasing amounts of waste has on the natural world and human health, as well as what people can do to reduce, reuse, and recycle various types of waste.At a time when environmental issues are being hotly debated, it is more important than ever that young people be fully informed. These titles invite advanced readers on a journey to explore the history of environmental affairs like never before. Each volume features a sophisticated design peppered with arresting photographs and relevant, compelling examples to clarify potentially complicated subjects. Multiple sidebars provide fodder for additional discussion and thought, and numerous resources are listed to encourage further interaction.

Deep Learning in Bioinformatics: Techniques and Applications in Practice introduces the topic in an easy-to-understand way, exploring how it can be utilized for addressing important problems in bioinformatics, including drug discovery, de novo molecular design, sequence analysis, protein structure prediction, gene expression regulation, protein classification, biomedical image processing and diagnosis, biomolecule interaction prediction, and in systems biology. The book also presents theoretical and practical successes of deep learning in bioinformatics, pointing out problems and suggesting future research directions. Dr. Izadkhah provides valuable insights and will help researchers use deep learning techniques in their biological and bioinformatics studies.

本書共有8章，其中，第1章介紹計算機的基本概念、信息表示、計算機硬件和軟件基礎、大數據與人工智能基礎；第2章介紹操作系統基礎知識與Windows10操作系統的基本操作；第3章介紹應用Word2016對文檔進行編輯；第4章介紹應用Excel2016創建和格式化數據表；第5章介紹應用PowerPoint2016製作演示文稿；第6章介紹數據庫的基礎知識和Access2016的基礎應用；第7章介紹計算機網絡基礎、Internet技術及應用基礎、信息安全基礎、雲計算基礎、物聯網基礎；第8章介紹計算思維基本概念、Python程序設計基礎。

本書主要研究深度學習模型及其在網絡空間安全領域中的應用，包括入侵檢測和惡意代碼分類。基於PyTorch第三方工具，提供了深度學習模型的多層感知機、卷積神經網絡、循環神經網絡，以及入侵檢測模型、惡意代碼檢測模型核心代碼的Python實現。 本書可供人工智能、網絡空間安全、大數據等專業的研究生作為教材或者參考書使用，也可供從事網絡空間安全相關專業的工程技術人員閱讀參考。

本書編寫目的是向讀者介紹大數據清洗的基本概念和相應的技術應用，共分8章：數據清洗簡介、數據清洗中的理論基礎、文件格式及其轉換、Excel數據清洗、Kettle數據清洗、Kettle與數據倉庫、Python數據清洗、數據清洗綜合實訓。本書將理論與實踐操作相結合，通過大量的案例幫助讀者快速瞭解和應用數據清洗相關技術，並對重要的核心知識點加大練習比例，以達到熟練應用的目的。本書適用於高校人工智能、大數據技術相關專業的學生，也可供大數據技術愛好者自學使用。

掌握Linux命令行操作，不僅是輕鬆駕馭Linux系統的基礎，還是開展Python數據分析、數據庫管理、後端開發等工作的基本功。 本書是專門為命令行初學者打造的學習手冊，注重趣味性、實用性，邏輯清晰、圖文並茂。書中總結了大量命令行表格與核心知識點，以方便大家快速掌握Linux命令行的使用方法。本書結合豐富的代碼示例，詳細地講解了如何通過簡單、方便的命令行操作解決實際問題，提升工作效率。書中內容主要分為兩部分，共8章，包括命令行環境搭建、文件系統及其管理、應用和包管理、命令行及shell強化、文本處理、數據分析、Vim文本編輯、進程管理和工作空間組織。 本書面向從其他平臺過渡到Linux的新用戶、初級Linux系統管理員、Linux系統愛好者，以及對數據分析和開源技術感興趣的讀者。

本書立足已掌握Excel初步知識的讀者，系統地介紹了Excel 2016的一些高級功能的使用方法和技巧，並通過大量實用案例，引導讀者將所學知識應用到實際工作中。本書共8章，從數據的採集、整理、分析、展示到控件、VBA和Python的開發，所有內容都緊扣數據分析的主題，為讀者進入更高階段的學習打下基礎。全書結構緊湊、重點突出、立足商務實用，既整合了入門類圖書的看圖說話、圖文並茂的特點，又融入了技術型圖書的分類精准、邏輯嚴密的特點，特別是借鑒了案例類圖書融會貫通、舉一反三的優點，使其具有廣泛的適應性和實用性，適合具有一定基礎的Excel用戶學習和參考，也適合高校本科專業基礎課使用。

本書主要介紹了內蒙古減災委發文特聘的「第一次全國自然災害風險普查」技術支撐團隊在「資料獲取與質控」方面所做的工作和取得的成果，並對資料獲取和質控核心技術進行了詳細描述。充分體現了自然語義處理技術、Python爬蟲技術及資料分析和視覺化技術等資訊化技術在風險普查資料採集、資料審核與質檢過程中的重要性與應用價值。

本書以培養計算機核心素養為目的，針對學生在校期間需要掌握的計算機基礎知識，全面系統地對計算機相關實用技術進行了介紹。全書將工程性和實踐性相結合，設計了符合非計算機專業的實訓項目，這些實訓項目涵蓋了計算機操作系統的基本操作、網絡數據包的分析、網絡的組建及測試、多媒體技術的融合、商務文檔的編排、數據分析工具的使用、Python數據分析及硬件編程等。本書既注重思維培養，又兼顧實踐能力提升，循序漸進地組織和安排實訓內容，具有突出重點、詳解難點、注重計算機能力培養的特點，旨在幫助讀者利用計算機解決工程實踐問題，提高工程實踐能力。本書可作為高等院校非計算機專業基礎教育的實訓課程教材，也可作為對計算機科學感興趣的技術人員的參考書。

The touchstone for contemporary stargazers. This classic, groundbreaking guide has been the go-to field guide for both beginning and experienced amateur astronomers for nearly 30 years. The fourth edition brings Terence Dickinson and Alan Dyer's invaluable manual completely up-to-date. Setting a new standard for astronomy guides, it will serve as the touchstone for the next generation of stargazers as well as longtime devotees. Technology and astronomical understanding are evolving at a breathtaking clip, and to reflect the latest information about observing techniques and equipment, this massively revised and expanded edition has been completely rebuilt (an additional 48 pages brings the page count to 416). Illustrated throughout with all-new photographs and star charts, this edition boasts a refreshed design and features five brand-new chapters, including three essential essays on binocular, telescope and Moon tours by renowned astronomy writer Ken Hewitt-White. With new content on n