Software architecture with Python

Functional programming (函數式程式設計) 是一種已有六十年歷史的程式設計範式，為何現在變得越來越重要？這是因為隨著各種連網設備 (如行動裝置) 和雲端服務的普及，多程序透過網路交換訊息已成為常態，因此分散式系統的開發變得至關重要。分散式系統軟體開發的複雜性往往導致開發過程容易陷入混亂，程式碼盤根錯節難以除錯維護與擴展，成為揮之不去卻又不敢動的痛處。而 functional programming 的簡約風格因此受到廣泛關注。這種設計範式強調使用函式來構建應用程式，程式碼清晰又容易維護，亦能解決分散式系統多執行緒的問題。除了專門的函數式語言之外，Python、Java、JavaScript、C#、C++、Go 和 Rust 等知名語言的新版中，也因應趨勢增強了對 functional programming 的支援。只要建立了這種思維方式，你就可以應用在自己的程式語言中。市面上與 functional programming 相關的書籍 (主要為英文書) 通常由學者撰寫，內容偏重理論，而在大型實務專案經驗上顯得不足。這類書中的範例大多過於簡單，未能涉及實際軟體架構問題。與此相反，本書作者擁有二十年在產業界實際運用 functional programming 的經驗，從產業角度出發，旨在幫助那些在軟體工程實踐中遇到困難的工程師重新思考。即使你的目的不是分散式系統，學習 functional programming 的思維都能夠幫助你在撰寫任何程式時想得更周到。由於 functional programming 的特點 — 無 side effects（額外作用）和資料的不可變性 — 使得它非常適用於開發網路程式，在這種環境中，資料一致性和狀態管理是關鍵挑戰。本書透過 concurrency primitives（併發基本工具）實作、繪製時間線圖、分析並解決併發操作中的插緒問題，有效處理狀態變化和 bug，從而構建可靠的分散式系統程式。本書特色: ●作者從產業界的視角出發，旨在幫助那些陷入困境的軟體工程師，重新審視並採納 functional programming 程式設計方法。●為了更貼近軟體工程師的實際狀況，書中以廣泛熟知的 JavaScript 語言做示範。雖然 JavaScript 不是最理想的函數式語言，但這一點

With the advent of the Al era, professionals need to select the right tools to meet new opportunities and challenges! This instructional material focuses on the application of big data analysis, text mining, and machine learning in auditing to assist readers in understanding the latest developments in data analysis and smart audit.JCAATs is a new generation audit software developed by Python, which can be executed in a Windows and MAC operation systems with a multi-language, visual, and easy-to-use interface. Non-IT professionals can easily conduct smart data analysis. Through JCAATs' built-in data fusion technology and OPEN DATA connector, heterogeneous data can be quickly analyzed in real-time and effectively identifying anomalies. The features of this book include:The book is structured to provide a progressive learning experience, with chapters covering different concepts and applications, as well as exercises and practice questions. The official textbook endorsed by ICAEA

The dramatic increase in computer performance has been extraordinary, but not for all computations: it has key limits and structure. Software architects, developers, and even data scientists need to understand how exploit the fundamental structure of computer performance to harness it for future applications. Ideal for upper level undergraduates, Computer Architecture for Scientists covers four key pillars of computer performance and imparts a high-level basis for reasoning with and understanding these concepts: Small is fast – how size scaling drives performance; Implicit parallelism – how a sequential program can be executed faster with parallelism; Dynamic locality – skirting physical limits, by arranging data in a smaller space; Parallelism – increasing performance with teams of workers. These principles and models provide approachable high-level insights and quantitative modelling without distracting low-level detail. Finally, the text covers the GPU and machine-learning accelerat

Designed as a textbook for a one or two-term introduction to mathematical statistics for students training to become data scientists, Foundations of Statistics for Data Scientists: With R and Python is an in-depth presentation of the topics in statistical science with which any data scientist should be familiar, including probability distributions, descriptive and inferential statistical methods, and linear modelling. The book assumes knowledge of basic calculus, so the presentation can focus on 'why it works' as well as 'how to do it.' Compared to traditional "mathematical statistics" textbooks, however, the book has less emphasis on probability theory and more emphasis on using software to implement statistical methods and to conduct simulations to illustrate key concepts. All statistical analyses in the book use R software, with an appendix showing the same analyses with Python.The book also introduces modern topics that do not normally appear in mathematical statistics texts but ar

A Concise Introduction to Programming in Python, Second Edition provides a hands-on and accessible introduction to writing software in Python, with no prior programming experience required.The Second

A Concise Introduction to Programming in Python, Second Edition provides a hands-on and accessible introduction to writing software in Python, with no prior programming experience required.The Second

Digital Architecture Beyond Computers explores the deep history of digital architecture, tracing design concepts as far back as the Renaissance and connecting them with the latest software used by des

Leverage the power of the Revit family editor to create complex forms drawn from classical architecture. This book brings together three of the author’s favorite things: architecture, history and Revi

Incorporate SketchUp into every phase of your designIf you want to go beyond the basics and start using SketchUp 3D modeling software in all phases of your design, The SketchUp Workflow for Architectu

"Preface Welcome! This text provides an introduction to writing software in Python. No previous programming experience is necessary. Most chapters begin with an example program illustrating a small se

Multi-agent systems are claimed to be especially suited to the development of software systems that are decentralized, can deal flexibly with dynamic conditions, and are open to system components that

Learn Revit Architecture step by step with this project-based tutorial Revit Architecture is the leading Building Information Modeling (BIM) software for architects and others in related fields. Writ

Autodesk Revit Architecture software provides building information modeling (BIM) data that allows you to design buildings with modeling and drafting elements. This book provides basic, step-by-step

Learn the leading BIM software quickly and easily with this book's detailed discussions and practical exercises Introducing Revit Architecture 2010 presents the core features of this industry-leading

Many software developers often confuse requirements engineering with software specification and, as a result, build unusable systems, despite meeting specifications. Bringing together all the techniqu

AutoCAD is the market leader for all CAD software and is used by nearly two million students and professionals in architecture, engineering, construction, and design.This is a Complete Autocad tool,

'Design by programming' has proved very successful in the development of complex software systems. This book describes the construction of programs for VLSI digital circuit design, using the language Tangram, and shows how they can be compiled automatically in fully asynchronous circuits. Handshake circuits were invented by the author to separate questions involving the efficient implementation of the VLSI circuits from issues arising in their design. Dr van Berkel presents a mathematical theory of handshake circuits and a silicon compiler supported by a correctness proof. The treatment of VLSI realizations of handshake circuits includes various forms of optimization, handshake refinement, message encoding, circuit initialization, and testing. The approach is illustrated with a host of examples drawn from a wide range of application areas. The book will be of use to electrical engineers and computer scientists involved in VLSI design.

All aspects of software development and deployment become painfully slow. The solution is to adopt the microservices architecture. This architecture accelerates software development and enables contin

No, it’s not dessert—it’s a tiny single-board computer for budding computer scientists to experiment with. This versatile product can be paired with simple coding software, such as Python and Ruby, en

What are the models used in phylogenetic analysis and what exactly is involved in Bayesian evolutionary analysis using Markov chain Monte Carlo (MCMC) methods? How can you choose and apply these models, which parameterisations and priors make sense, and how can you diagnose Bayesian MCMC when things go wrong? These are just a few of the questions answered in this comprehensive overview of Bayesian approaches to phylogenetics. This practical guide: • Addresses the theoretical aspects of the field • Advises on how to prepare and perform phylogenetic analysis • Helps with interpreting analyses and visualisation of phylogenies • Describes the software architecture • Helps developing BEAST 2.2 extensions to allow these models to be extended further. With an accompanying website providing example files and tutorials (http://beast2.org/), this one-stop reference to applying the latest phylogenetic models in BEAST 2 will provide essential guidance for all users – from those using phylogeneti

This book presents a novel approach for Architecture Description Language (ADL)-based instruction-set description that enables the automatic retargeting of the complete software toolkit from a single

Zope is a powerful Python web application platform for rapidly and collaboratively developing complex web applications. With version 3, Zope has been rebuilt on top of a Component Architecture that co

Distributed Object Architectures with CORBA is a guide to creating a software architecture comprising distributed components. While it is based on OMG's Common Object Request Broker Architecture (CORBA) standard, the principles also apply to architecture built with other technology (such as Microsoft's DCOM). As ORB products evolve to incorporate new additions to CORBA, the knowledge and experience required to build stable and scalable systems is not widespread. With this book the reader can develop the skills and knowledge that is necessary for building such systems. The book assumes a familiarity with object-oriented concepts and the basics of CORBA. Software developers who are new to building systems with CORBA-based technologies will find this book a useful guide to effective development.

Written by four experienced Nokia Telecommunications software developers, this is a practical book about object-based and component-based software development. The book concentrates on the most important issues in real-life software development, such as the development process itself, software architecture, the development of user interfaces, data management, and the development of large commercial software products. The book exemplifies the presented practices by using the Unified Modeling Language (UML).

Develop the analytical skills that are in high demand in businesses today with Camm/Cochran/Fry/Ohlmann's best-selling BUSINESS ANALYTICS, 5E. You master the full range of analytics as you strengthen descriptive, predictive and prescriptive analytic skills. Real examples and memorable visuals clearly illustrate data and results. Step-by-step instructions guide you through using Excel, Tableau, R or the Python-based Orange data mining software to perform advanced analytics. Practical, relevant problems at all levels of difficulty let you apply what you've learned. Updates throughout this edition address topics beyond traditional quantitative concepts, such as data wrangling, data visualization and data mining, which are increasingly important in today's business environment. MindTap and WebAssign online learning platforms are also available with an interactive eBook, algorithmic practice problems and Exploring Analytics visualizations to strengthen your understanding of key concepts.

Functional and concurrent programming paradigms can help experienced object-oriented developers write high-quality software faster: code that's easier to understand, debug, optimize, and evolve. But these approaches have often been surrounded by mystification and misconceptions, leading many developers to avoid them. In Functional and Concurrent Programming, Michel Charpentier clears away the confusion, showing how to use these features safely and well, so you can gain their benefits without their pitfalls. Writing for developers with some object-oriented experience in Java, C++, C#, Python, or elsewhere, Charpentier teaches key concepts through the use of realistic, modern examples: code written in Scala, but relevant to users of any modern object-oriented language. As a hybrid language, Scala can be used effectively to illustrate both object-oriented and functional programming; it offers advanced features for concurrency; and it interoperates with Java, and can use many components of

Thoroughly updated with improved pedagogy, the fifth edition of this classic textbook continues to provide students with a clear and comprehensive introduction the fundamentals of the finite element method. New features include enhanced coverage of introductory topics in the context of simple 1D problems, providing students with a solid base from which to advance to 2D and 3D problems; expanded coverage of more advanced concepts, to reinforce students' understanding; over 30 additional solved problems; and downloadable MATLAB, Python, C, Javascript, Fortran and Excel VBA code packages, providing students with hands-on experience, and preparing them for commercial software. Accompanied by online solutions for instructors, this is the definitive text for senior undergraduate and graduate students studying a first course in the finite element method and finite element analysis, and for professional engineers keen to shore up their understanding of finite element fundamentals.

Implement real-time data processing applications on the Raspberry Pi. This book uniquely helps you work with data science concepts as part of real-time applications using the Raspberry Pi as a localized cloud. You'll start with a brief introduction to data science followed by a dedicated look at the fundamental concepts of Python programming. Here you'll install the software needed for Python programming on the Pi, and then review the various data types and modules available. The next steps are to set up your Pis for gathering real-time data and incorporate the basic operations of data science related to real-time applications. You'll then combine all these new skills to work with machine learning concepts that will enable your Raspberry Pi to learn from the data it gathers. Case studies round out the book to give you an idea of the range of domains where these concepts can be applied. By the end of Data Science with the Raspberry Pi, you'll understand that many applications are now de

Master the usage of s-parameters in signal integrity applications and gain full understanding of your simulation and measurement environment with this rigorous and practical guide. Solve specific signal integrity problems including calculation of the s-parameters of a network, linear simulation of circuits, de-embedding, and virtual probing, all with expert guidance. Learn about the interconnectedness of s-parameters, frequency responses, filters, and waveforms. This invaluable resource for signal integrity engineers is supplemented with the open-source software SignalIntegrity, a Python package for scripting solutions to signal integrity problems.

A complete resource for finance students, this textbook presents the most common empirical approaches in finance in a comprehensive and well-illustrated manner that shows how econometrics is used in practice, and includes detailed case studies to explain how the techniques are used in relevant financial contexts. Maintaining the accessible prose and clear examples of previous editions, the new edition of this best-selling textbook provides support for the main industry-standard software packages, expands the coverage of introductory mathematical and statistical techniques into two chapters for students without prior econometrics knowledge, and includes a new chapter on advanced methods. Learning outcomes, key concepts and end-of-chapter review questions (with full solutions online) highlight the main chapter takeaways and allow students to self-assess their understanding. Online resources include extensive teacher and student support materials, including EViews, Stata, R, and Python so

When creating websites or applications, Python-based Django is an ideal framework to assist in clean scaffolding architecture. With the rise in popularity of client side MVC frameworks, such as Angula

With the rise of multi-core architecture, parallel programming is an increasingly important topic for software engineers and computer system designers. Written by well-known researchers Larry Snyder a