Learning Cython Programming. Expand your existing legacy applications in C using Python - Second Edition

Philip Herron

Cython is a hybrid programming language used to write C extensions for Python language. Combining the practicality of Python and speed and ease of the C language it’s an exciting language worth learning if you want to build fast applications with ease. This new edition of Learning Cython Programming shows you how to get started, taking you through the fundamentals so you can begin to experience its unique powers.You’ll find out how to get set up, before exploring the relationship between Python and Cython. You’ll also look at debugging Cython, before moving on to C++ constructs, Caveat on C++ usage, Python threading and GIL in Cython. Finally, you’ll learn object initialization and compile time, and gain a deeper insight into Python 3, which will help you not only become a confident Cython developer, but a much more fluent Python developer too.

Spring 2.5 Aspect Oriented Programming. Create dynamic, feature-rich, and robust enterprise applications using the Spring framework

Massimiliano Dess?É?íÂ!¨, Brian Fitzpatrick, Massimiliano Dessi

Developing powerful web applications with clean, manageable code makes the maintenance process much easier. Aspect-Oriented Programming (AOP) is the easiest and quickest way to achieve such results. Spring is the only Java framework to offer AOP features. The combined power of Spring and AOP gives a powerful and flexible platform to develop and maintain feature-rich web applications quickly.This book will help you to write clean, manageable code for your Java applications quickly, utilizing the combined power of Spring and AOP. You will master the concepts of AOP by developing several real-life AOP-based applications with the Spring Framework, implementing the basic components of Spring AOP: Advice, Joinpoint, Pointcut, and Advisor.This book will teach you everything you need to know to use AOP with Spring. It starts by explaining the AOP features of Spring and then moves ahead with configuring Spring AOP and using its core classes, with lot of examples. It moves on to explain the AspectJ support in Spring. Then you will develop a three-layered example web application designed with Domain-Driven Design (DDD) and built with Test-Driven Development methodology using the full potential of AOP for security, concurrency, caching, and transactions.

Get Your Hands Dirty on Clean Architecture. A hands-on guide to creating clean web applications with code examples in Java

Tom Hombergs

We would all like to build software architecture that yields adaptable and flexible software with low development costs. But, unreasonable deadlines and shortcuts make it very hard to create such an architecture.Get Your Hands Dirty on Clean Architecture starts with a discussion about the conventional layered architecture style and its disadvantages. It also talks about the advantages of the domain-centric architecture styles of Robert C. Martin's Clean Architecture and Alistair Cockburn's Hexagonal Architecture. Then, the book dives into hands-on chapters that show you how to manifest a hexagonal architecture in actual code. You'll learn in detail about different mapping strategies between the layers of a hexagonal architecture and see how to assemble the architecture elements into an application. The later chapters demonstrate how to enforce architecture boundaries. You'll also learn what shortcuts produce what types of technical debt and how, sometimes, it is a good idea to willingly take on those debts.After reading this book, you'll have all the knowledge you need to create applications using the hexagonal architecture style of web development.

Microsoft 365 Security, Compliance, and Identity Administration. Plan and implement security and compliance strategies for Microsoft 365 and hybrid environments

Peter Rising

The Microsoft 365 Security, Compliance, and Identity Administration is designed to help you manage, implement, and monitor security and compliance solutions for Microsoft 365 environments.With this book, you’ll first configure, administer identity and access within Microsoft 365. You’ll learn about hybrid identity, authentication methods, and conditional access policies with Microsoft Intune. Next, you’ll discover how RBAC and Azure AD Identity Protection can be used to detect risks and secure information in your organization. You’ll also explore concepts such as Microsoft Defender for endpoint and identity, along with threat intelligence. As you progress, you’ll uncover additional tools and techniques to configure and manage Microsoft 365, including Azure Information Protection, Data Loss Prevention (DLP), and Microsoft Defender for Cloud Apps.By the end of this book, you’ll be well-equipped to manage and implement security measures within your Microsoft 365 suite successfully.

The Data Science Workshop. A New, Interactive Approach to Learning Data Science

Anthony So, Thomas V. Joseph, Robert Thas John, Andrew Worsley, ...

You already know you want to learn data science, and a smarter way to learn data science is to learn by doing. The Data Science Workshop focuses on building up your practical skills so that you can understand how to develop simple machine learning models in Python or even build an advanced model for detecting potential bank frauds with effective modern data science. You'll learn from real examples that lead to real results.Throughout The Data Science Workshop, you'll take an engaging step-by-step approach to understanding data science. You won't have to sit through any unnecessary theory. If you're short on time you can jump into a single exercise each day or spend an entire weekend training a model using sci-kit learn. It's your choice. Learning on your terms, you'll build up and reinforce key skills in a way that feels rewarding.Every physical print copy of The Data Science Workshop unlocks access to the interactive edition. With videos detailing all exercises and activities, you'll always have a guided solution. You can also benchmark yourself against assessments, track progress, and receive content updates. You'll even earn a secure credential that you can share and verify online upon completion. It's a premium learning experience that's included with your printed copy. To redeem, follow the instructions located at the start of your data science book.Fast-paced and direct, The Data Science Workshop is the ideal companion for data science beginners. You'll learn about machine learning algorithms like a data scientist, learning along the way. This process means that you'll find that your new skills stick, embedded as best practice. A solid foundation for the years ahead.

Mastering Python Data Analysis. Become an expert at using Python for advanced statistical analysis of data using real-world examples

Luiz Felipe Martins, Gavin Hackeling, Magnus Vilhelm Persson

Python, a multi-paradigm programming language, has become the language of choice for data scientists for data analysis, visualization, and machine learning. Ever imagined how to become an expert at effectively approaching data analysis problems, solving them, and extracting all of the available information from your data? Well, look no further, this is the book you want!Through this comprehensive guide, you will explore data and present results and conclusions from statistical analysis in a meaningful way. You’ll be able to quickly and accurately perform the hands-on sorting, reduction, and subsequent analysis, and fully appreciate how data analysis methods can support business decision-making.You’ll start off by learning about the tools available for data analysis in Python and will then explore the statistical models that are used to identify patterns in data. Gradually, you’ll move on to review statistical inference using Python, Pandas, and SciPy. After that, we’ll focus on performing regression using computational tools and you’ll get to understand the problem of identifying clusters in data in an algorithmic way. Finally, we delve into advanced techniques to quantify cause and effect using Bayesian methods and you’ll discover how to use Python’s tools for supervised machine learning.

Deep Learning with fastai Cookbook. Leverage the easy-to-use fastai framework to unlock the power of deep learning

Mark Ryan

fastai is an easy-to-use deep learning framework built on top of PyTorch that lets you rapidly create complete deep learning solutions with as few as 10 lines of code. Both predominant low-level deep learning frameworks, TensorFlow and PyTorch, require a lot of code, even for straightforward applications. In contrast, fastai handles the messy details for you and lets you focus on applying deep learning to actually solve problems.The book begins by summarizing the value of fastai and showing you how to create a simple 'hello world' deep learning application with fastai. You'll then learn how to use fastai for all four application areas that the framework explicitly supports: tabular data, text data (NLP), recommender systems, and vision data. As you advance, you'll work through a series of practical examples that illustrate how to create real-world applications of each type. Next, you'll learn how to deploy fastai models, including creating a simple web application that predicts what object is depicted in an image. The book wraps up with an overview of the advanced features of fastai.By the end of this fastai book, you'll be able to create your own deep learning applications using fastai. You'll also have learned how to use fastai to prepare raw datasets, explore datasets, train deep learning models, and deploy trained models.

Modern Python Cookbook. 133 recipes to develop flawless and expressive programs in Python 3.8 - Second Edition

Steven F. Lott

Python is the preferred choice of developers, engineers, data scientists, and hobbyists everywhere. It is a great language that can power your applications and provide great speed, safety, and scalability. It can be used for simple scripting or sophisticated web applications. By exposing Python as a series of simple recipes, this book gives you insight into specific language features in a particular context. Having a tangible context helps make the language or a given standard library feature easier to understand.This book comes with 133 recipes on the latest version of Python 3.8. The recipes will benefit everyone, from beginners just starting out with Python to experts. You'll not only learn Python programming concepts but also how to build complex applications.The recipes will touch upon all necessary Python concepts related to data structures, object oriented programming, functional programming, and statistical programming. You will get acquainted with the nuances of Python syntax and how to effectively take advantage of it.By the end of this Python book, you will be equipped with knowledge of testing, web services, configuration, and application integration tips and tricks. You will be armed with the knowledge of how to create applications with flexible logging, powerful configuration, command-line options, automated unit tests, and good documentation.

Exploratory Data Analysis with Python Cookbook. Over 50 recipes to analyze, visualize, and extract insights from structured and unstructured data

Ayodele Oluleye

In today's data-centric world, the ability to extract meaningful insights from vast amounts of data has become a valuable skill across industries. Exploratory Data Analysis (EDA) lies at the heart of this process, enabling us to comprehend, visualize, and derive valuable insights from various forms of data.This book is a comprehensive guide to Exploratory Data Analysis using the Python programming language. It provides practical steps needed to effectively explore, analyze, and visualize structured and unstructured data. It offers hands-on guidance and code for concepts such as generating summary statistics, analyzing single and multiple variables, visualizing data, analyzing text data, handling outliers, handling missing values and automating the EDA process. It is suited for data scientists, data analysts, researchers or curious learners looking to gain essential knowledge and practical steps for analyzing vast amounts of data to uncover insights.Python is an open-source general purpose programming language which is used widely for data science and data analysis given its simplicity and versatility. It offers several libraries which can be used to clean, analyze, and visualize data. In this book, we will explore popular Python libraries such as Pandas, Matplotlib, and Seaborn and provide workable code for analyzing data in Python using these libraries.By the end of this book, you will have gained comprehensive knowledge about EDA and mastered the powerful set of EDA techniques and tools required for analyzing both structured and unstructured data to derive valuable insights.

Koha 3 Library Management System. Install, configure, and maintain your Koha installation with this easy-to-follow guide

Amit Gupta, Savitra Sirohi, Amit Gupta

Koha is the first full-featured open source library management system that is widely used for efficiently managing libraries. However, setting up and maintaining Koha is no walk in the park. It is not as straightforward as setting up the other popular LAMP applications.This practical guide provides all the essential information that is needed to make the task of installing and configuring Koha really seem simple and easy. It demonstrates how to set up Koha and its various aspects – installation, configuration, application administration, and data migration. It also covers troubleshooting, software maintenance, software customization, and other advanced topics.The book starts with installing and configuring the LAMP stack and the Koha application to meet your needs. It then goes deeper into setting up various rules and configuring settings for Koha. It also covers data migration of catalog records, software maintenance, and customization of the application. Chapters are also dedicated to providing an insight into advanced topics such as LDAP integration and Internationalization. Filled with numerous code samples and screenshots, this book will tour you through setting up Koha for evaluation or test purposes. It also includes loads of tips for troubleshooting and maintenance activities.By the end of this book, you will have gained the knowledge to get the most out of your Koha installation.

Fast Data Processing Systems with SMACK Stack. Click here to enter text

Raúl Estrada

SMACK is an open source full stack for big data architecture. It is a combination of Spark, Mesos, Akka, Cassandra, and Kafka. This stack is the newest technique developers have begun to use to tackle critical real-time analytics for big data. This highly practical guide will teach you how to integrate these technologies to create a highly efficient data analysis system for fast data processing.We’ll start off with an introduction to SMACK and show you when to use it. First you’ll get to grips with functional thinking and problem solving using Scala. Next you’ll come to understand the Akka architecture. Then you’ll get to know how to improve the data structure architecture and optimize resources using Apache Spark. Moving forward, you’ll learn how to perform linear scalability in databases with Apache Cassandra. You’ll grasp the high throughput distributed messaging systems using Apache Kafka. We’ll show you how to build a cheap but effective cluster infrastructure with Apache Mesos. Finally, you will deep dive into the different aspect of SMACK using a few case studies. By the end of the book, you will be able to integrate all the components of the SMACK stack and use them together to achieve highly effective and fast data processing.

Microsoft Dynamics GP 2010 Implementation. If you feel intimidated by the thought of implementing Microsoft Dynamics GP, this book will quickly overcome any doubts. It’s the simplest, clearest guide available to getting this sophisticated ERP application up and running successfully

Victoria Yudin

Microsoft Dynamics GP 2010 is a sophisticated Enterprise Resource Planning application with a multitude of features and options. The implementation of Dynamics GP is usually considered to be complex, and can be very confusing for users and consultants. This step-by-step guide will show you how to effectively implement Dynamics GP 2010 with ease.This focused, step-by-step tutorial covers the basics of Microsoft Dynamics GP, from licensing, to design, before moving on to more complex topics such as implementation and setup. You will learn how to install and configure Microsoft Dynamics GP 2010 from start to finish.This book will enable you to master the implementation of Microsoft Dynamics 2010 effectively. This book starts with how to plan and complete a successful Microsoft Dynamics GP 2010 implementation. You will then move on to learning who should be on the implementation team, what important questions should be asked and how to plan your infrastructure for Dynamics GP 2010. Detailed descriptions of all the setup options for the core Dynamics GP modules as well as practical advice on setup will help guide you through the myriad of options available in this powerful application. As you reach the end of the book you will learn how to import your initial data with illustrations and practical examples.

Mastering DynamoDB. Master the intricacies of the NoSQL database DynamoDB to take advantage of its fast performance and seamless scalability

Tanmay Deshpande

Programming Microsoft Dynamics NAV 2013. Experienced programmers and developers will find this the definitive guide to programming Microsoft Dynamics NAV. Both a reference book and a comprehensive hands-on tutorial, it will expand your knowledge dynamically. - Third Edition

Christopher D. Studebaker, David Studebaker, CHRISTOPHER D. STUDEBAKER, David A. Studebaker, ...

Microsoft Dynamics NAV 2013 is a complete and robust ERP system that is accompanied by a comprehensive set of development tools. You will learn how to master these tools and tailor Microsoft Dynamics NAV 2013 to meet your customer's specific business needs.Programming Microsoft Dynamics® NAV 2013 will lead you from start to finish, teaching you how to use this incredible ERP software whilst simultaneously making you a more productive developer. You'll learn how to implement your solutions, as well as evaluating, managing and appraising Dynamics NAV 2013 productions and projects.You will be empowered with the skills and knowledge that you need to get the job done and exceed your client's expectations. Step by step, you will learn how to use NAV, master the C/AL programming language, as well as the construction and uses of each object type. Ultimately, you will be able to bring your NAV 2013 solution together with fantastic efficiency.Hands-on development examples and additional material teach you by example and uncover the insider knowledge that only years of experience can provide, truly unleashing your productivity and potential.

Building VMware Software-Defined Data Centers. Click here to enter text

Valentin Hamburger

VMware offers the industry-leading software-defined data center (SDDC) architecture that combines compute, storage, networking, and management offerings into a single unified platform. This book uses the most up-to-date, cutting-edge VMware products to help you deliver a complete unified hybrid cloud experience within your infrastructure. It will help you build a unified hybrid cloud based on SDDC architecture and practices to deliver a fully virtualized infrastructure with cost-effective IT outcomes. In the process, you will use some of the most advanced VMware products such as VSphere, VCloud, and NSX. You will learn how to use vSphere virtualization in a software-defined approach, which will help you to achieve a fully-virtualized infrastructure and to extend this infrastructure for compute, network, and storage-related data center services. You will also learn how to use EVO:RAIL. Next, you will see how to provision applications and IT services on private clouds or IaaS with seamless accessibility and mobility across the hybrid environment. This book will ensure you develop an SDDC approach for your datacenter that fulfills your organization's needs and tremendously boosts your agility and flexibility. It will also teach you how to draft, design, and deploy toolsets and software to automate your datacenter and speed up IT delivery to meet your lines of businesses demands. At the end, you will build unified hybrid clouds that dramatically boost your IT outcomes.

Clojure Polymorphism. Leverage Clojure's polymorphic tools to develop your applications

Paul Stadig

Clojure is a modern, dynamic language that you can use to develop robust, multithreaded programs. Clojure Polymorphism is a comprehensive guide that shows you how to use Clojure’s features to your advantage.The book begins by describing examples that show how to define and implement abstractions with plain functions and multimethods. Then you'll analyze these examples and separate the good and bad aspects of their design principles. You'll also learn how to perform data transformation abstraction with a plain function and discover how to write new cross-platform predicates while keeping the core of your abstraction free from reader conditionals. The later chapters explain the considerations to keep in mind when implementing Clojure protocols on the Java Virtual Machine (JVM).By the end of this book, you’ll know how to use the various polymorphic tools of Clojure to your advantage while designing your applications.