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.