Leverage the computational power of Python with more than 60 recipes that arm you with the required skills to make informed business decisions About This Book Want to minimize risk and optimize profits of your businessLearn to create efficient analytical reports with ease using this highly practical, easy-to-follow guide Learn to apply Python for business intelligence tasks—preparing, exploring, analyzing, visualizing and reporting—in order to make more informed business decisions using data at hand Learn to explore and analyze business data, and build business intelligence dashboards with the help of various insightful recipes Who This Book Is For This book is intended for data analysts, managers, and executives with a basic knowledge of Python, who now want to use Python for their BI tasks. If you have a good knowledge and understanding of BI applications and have a “working” system in place, this book will enhance your toolbox. What You Will Learn Install Anaconda, MongoDB, and everything you need to get started with your data analysis Prepare data for analysis by querying cleaning and standardizing data Explore your data by creating a Pandas data frame from MongoDB Gain powerful insights, both statistical and predictive, to make informed business decisions Visualize your data by building dashboards and generating reports Create a complete data processing and business intelligence system In Detail The amount of data produced by businesses and devices is going nowhere but up. In this scenario, the major advantage of Python is that it's a general-purpose language and gives you a lot of flexibility in data structures. Python is an excellent tool for more specialized analysis tasks, and is powered with related libraries to process data streams, to visualize datasets, and to carry out scientific calculations. Using Python for business intelligence (BI) can help you solve tricky problems in one go. Rather than spending day after day scouring Internet forums for “how-to” information, here you’ll find more than 60 recipes that take you through the entire process of creating actionable intelligence from your raw data, no matter what shape or form it’s in. Within the first 30 minutes of opening this book, you’ll learn how to use the latest in Python and NoSQL databases to glean insights from data just waiting to be exploited.< We’ll begin with a quick-fire introduction to Python for BI and show you what problems Python solves. From there, we move on to working with a predefined data set to extract data as per business requirements, using the Pandas library and MongoDB as our storage engine. Next, we will analyze data and perform transformations for BI with Python. Through this, you will gather insightful data that will help you make informed decisions for your business. The final part of the book will show you the most important task of BI—visualizing data by building stunning dashboards using Matplotlib, PyTables, and iPython Notebook. Style and approach This is a step-by-step guide to help you prepare, explore, analyze and report data, written in a conversational tone to make it easy to grasp. Whether you’re new to BI or are looking for a better way to work, you’ll find the knowledge and skills here to get your job done efficiently.

Become more fluent in Python—learn strategies and techniques for smart and high-performance Python programming About This Book Write smarter, bug-free, high performance code with minimal effort Uncover the best tools and options available to Python developers today Deploy decorators, design patters, and various optimization techniques to use Python 3.5 effectively Who This Book Is For If you are a Python developer and you think that you don’t know everything about the language yet, then this is the book for you. We will unlock the mysteries and re-introduce you to the hidden features of Python to write efficient programs, making optimal use of the language. What You Will Learn Manipulate object creation processes for instances, classes, and functions Use the best possible language constructs to write data structures with super speed and maintainability Make efficient use of design patterns to decrease development time and make your code more maintainable Write better test cases with an improved understanding of the testing framework of Python and unittests, and discover how to develop new functionalities in it Write fully-optimized code with the Python language by profiling, compiling C modules, and more Unlock asynchronous programming to build efficient and scalable applications In Detail Python is a versatile programming language that can be used for a wide range of technical tasks—computation, statistics, data analysis, game development, and more. Though Python is easy to learn, it’s range of features means there are many aspects of it that even experienced Python developers don’t know about. Even if you’re confident with the basics, its logic and syntax, by digging deeper you can work much more effectively with Python – and get more from the language. Python Unlocked walks you through the most effective techniques and best practices for high performance Python programming - showing you how to make the most of the Python language. You’ll get to know objects and functions inside and out, and will learn how to use them to your advantage in your programming projects. You will also find out how to work with a range of design patterns including abstract factory, singleton, strategy pattern, all of which will help make programming with Python much more efficient. Finally, as the process of writing a program is never complete without testing it, you will learn to test threaded applications and run parallel tests. If you want the edge when it comes to Python, use this book to unlock the secrets of smarter Python programming. Style and approach This is book had been created to help you to “unlock” the best ways to tackle the challenges and performance bottlenecks that many Python developers face today. The keys are supported with program examples to help you understand the concepts better and see them in action.

Harness the power of Redis to integrate and manage your projects efficiently About This Book Learn how to use Redis's data types efficiently to manage large data sets Scale Redis to multiple servers with Twemproxy, Redis Sentinel, and Redis Cluster A fast-paced guide, full of real-world examples to help you get the best out of the features offered by Redis Who This Book Is For If you are a competent developer with experience of working with data structure servers and want to boost your project's performance by learning about features of Redis, then this book is for you. What You Will Learn Build analytics applications using Bitmaps and Hyperloglogs Enhance scalability with Twemproxy, Redis Sentinel, and Redis Cluster Build a Time Series implementation in Node.js and Redis Create your own Redis commands by extending Redis with Lua Get to know security techniques to protect your data (SSL encryption, firewall rules, basic authorization) Persist data to disk and learn the trade-offs of AOF and RDB Understand how to use Node.js, PHP, Python, and Ruby clients for Redis Avoid common pitfalls when designing your next solution In Detail Redis is the most popular in-memory key-value data store. It’s very lightweight and its data types give it an edge over the other competitors. If you need an in-memory database or a high-performance cache system that is simple to use and highly scalable, Redis is what you need. Redis Essentials is a fast-paced guide that teaches the fundamentals on data types, explains how to manage data through commands, and shares experiences from big players in the industry. We start off by explaining the basics of Redis followed by the various data types such as Strings, hashes, lists, and more. Next, Common pitfalls for various scenarios are described, followed by solutions to ensure you do not fall into common traps. After this, major differences between client implementations in PHP, Python, and Ruby are presented. Next, you will learn how to extend Redis with Lua, get to know security techniques such as basic authorization, firewall rules, and SSL encryption, and discover how to use Twemproxy, Redis Sentinel, and Redis Cluster to scale infrastructures horizontally. At the end of this book, you will be able to utilize all the essential features of Redis to optimize your project's performance. Style and approach A practical guide that offers the foundation upon which you can begin to understand the capabilities of Redis using a step-by-step approach. This book is full of real-world problems and in-depth knowledge of the concepts and features of Redis, with plenty of examples.

This book is intended for business and development personnel who want to use Cucumber for behavior-driven development and test automation. Readers with some familiarity with Cucumber will find this book of most benefit. Since the main objective of this book is to create test automation frameworks, previous experience in automation will be helpful.

This book is ideal for system developers with knowledge and experience of embedded systems. Knowledge of BeagleBone Black is assumed, while no knowledge of Yocto Project build system is necessary.

FreeSWITCH 1.6 Cookbook is written for anyone who wants to learn more about using FreeSWITCH in production. The information is presented in such a way that you can get up and running quickly. The cookbook approach eschews much of the foundational concepts, and instead focuses on discrete examples that illustrate specific features. If you need to implement a particular feature as quickly as possible, then this book is for you.

If you are network administrator or a security analyst with an interest in using Wireshark for security analysis, then this is the book for you. Basic familiarity with common network and application services terms and technologies is assumed.

Are you writing two websites: one for mobile and one for larger displaysOr perhaps you've already implemented your first RWD but are struggling to bring it all togetherIf so, this book gives you everything you need to take your websites to the next level. Some HTML and CSS knowledge will help; everything else you need is included in the book.

This book is intended for Windows administrators or DevOps users who need to use PowerShell to automate tasks. Whether you know nothing about PowerShell or know just enough to get by, this guide will give you what you need to take your *ing to the next level.

If you are an existing Red Hat administrator who is new to the Red Hat cloud infrastructure and would like to manage and deploy hybrid clouds, then this book is for you. Red Hat Linux administration experience is assumed.

This book provides a step by step approach that explains the most important extension components and their features. All the major features are explained by using the JobHub application with supporting screenshots. If you are an intermediate to advanced level user (or developer) who already has a basic working knowledge of PrimeFaces, then this book is for you. The only thing you need to know is Java Server Faces(JSF).

This practical guide helps you to administer Citrix Provisioning Services. Each chapter is structured in way to help you easily understand the various features, with accompanying practical examples that help beginners to quickly understand the product. This book is a useful guide for an admin/engineer who is new to the Citrix virtualization solution and provisioning service, and who is looking to get a good grounding in Citrix PVS. It’s assumed that you will have some understanding of the basics of virtualization already, but that's all you need to know!

Extend the capabilities of AngularJS and build dynamic web applications by creating customized directives with this selection of more than 30 recipes About This Book Learn how to extend HTML templates in new ways to build even better web applications with exceptional interface components Build reusable directives for large-scale AngularJS applications Create even sophisticated and impressive modern web apps with ease Who This Book Is For This book is for developers with AngularJS experience who want to extend their knowledge to create or customize directives in any type of AngularJS application. Some experience of modern tools such as Yeoman and Bower would be helpful, but is not a requirement. What You Will Learn Build and customize external HTML templates, and create simple, effective directives for common interface components Learn how to use Controller function and any Bootstrap UI directives to manipulate the DOM and how to transform any UI library into AngularJS directives Construct an AngularJS application to use shared components and validate your HTML5 Discover how to use jQuery events and manipulate the DOM using jQuery UI inside AngularJS applications Create custom directives for ongoing projects using Yeoman generators, and find out how to implement standalone directives Build reusable directives for Large AngularJS applications and extend directives to use dynamic templates Write unit test for directives using the Karma runner and Jasmine’s behavior-driven development framework In Detail AngularJS directives are at the center of what makes it such an exciting – and important - web development framework. With directives, you can take greater control over HTML elements on your web pages – they ‘direct’ Angular’s HTML compiler to behave in the way you want it to. It makes building modern web applications a much more expressive experience, and allows you to focus more closely on improving the way that user interaction impacts the DOM and the way your app manages data. If you’re already using Angular, you probably recognize the power of directives to transform the way you understand and build your projects – but customizing and creating your own directives to harness AngularJS to its full potential can be more challenging. This cookbook shows you how to do just that – it’s a valuable resource that demonstrates how to use directives at every stage in the workflow. Packed with an extensive range of solutions and tips that AngularJS developers shouldn’t do without, you’ll find out how to make the most of directives. You’ll find recipes demonstrating how to build a number of different user interface components with directives, so you can take complete control over how users interact with your application. You’ll also learn how directives can simplify the way you work by creating reusable directives – by customizing them with Yeoman you can be confident that you’re application has the robust architecture that forms the bedrock of the best user experiences. You’ll also find recipes that will help you learn how to unit test directives, so you can be confident in the reliability and performance of your application. Whether you’re looking for guidance to dive deeper into AngularJS directives, or you want a reliable resource, relevant to today’s web development challenges, AngularJS Directives Cookbook delivers everything you need in an easily accessible way. Style and approach This book easy-to-follow guide is packed with hands-on recipes to help you build modular AngularJS applications with custom directives. It presents tips on using the best tools and various ways to use these tools for front-end development.

If you are a beginner to AndEngine, or mobile game development in general, and you are looking for a simple way to start making games for Android, this book is for you. You should already know the basics of Java programming, but no previous game development experience is required.

A step-by-step guide that spices up your web pages and designs them in the way you want using the most widely used JavaScript library, jQuery. The beginner-friendly and easy-to-understand approach of the book will help get to grips with jQuery in no time. If you know the fundamentals of HTML and CSS, and want to extend your knowledge by learning to use JavaScript, then this is just the book for you. jQuery makes JavaScript straightforward and approachable – you'll be surprised at how easy it can be to add animations and special effects to your beautifully designed pages.

Control your machine learning algorithms using test-driven development to achieve quantifiable milestones About This Book Build smart extensions to pre-existing features at work that can help maximize their value Quantify your models to drive real improvement Take your knowledge of basic concepts, such as linear regression and Na?ve Bayes classification, to the next level and productionalize their models Play what-if games with your models and techniques by following the test-driven exploration process Who This Book Is For This book is intended for data technologists (scientists, analysts, or developers) with previous machine learning experience who are also comfortable reading code in Python. You may be starting, or have already started, a machine learning project at work and are looking for a way to deliver results quickly to enable rapid iteration and improvement. Those looking for examples of how to isolate issues in models and improve them will find ideas in this book to move forward. What You Will Learn Get started with an introduction to test-driven development and familiarize yourself with how to apply these concepts to machine learning Build and test a neural network deterministically, and learn to look for niche cases that cause odd model behaviour Learn to use the multi-armed bandit algorithm to make optimal choices in the face of an enormous amount of uncertainty Generate complex and simple random data to create a wide variety of test cases that can be codified into tests Develop models iteratively, even when using a third-party library Quantify model quality to enable collaboration and rapid iteration Adopt simpler approaches to common machine learning algorithms Take behaviour-driven development principles to articulate test intent In Detail Machine learning is the process of teaching machines to remember data patterns, using them to predict future outcomes, and offering choices that would appeal to individuals based on their past preferences. Machine learning is applicable to a lot of what you do every day. As a result, you can’t take forever to deliver your first iteration of software. Learning to build machine learning algorithms within a controlled test framework will speed up your time to deliver, quantify quality expectations with your clients, and enable rapid iteration and collaboration. This book will show you how to quantifiably test machine learning algorithms. The very different, foundational approach of this book starts every example algorithm with the simplest thing that could possibly work. With this approach, seasoned veterans will find simpler approaches to beginning a machine learning algorithm. You will learn how to iterate on these algorithms to enable rapid delivery and improve performance expectations. The book begins with an introduction to test driving machine learning and quantifying model quality. From there, you will test a neural network, predict values with regression, and build upon regression techniques with logistic regression. You will discover how to test different approaches to na?ve bayes and compare them quantitatively, along with how to apply OOP (Object-Oriented Programming) and OOP patterns to test-driven code, leveraging SciKit-Learn. Finally, you will walk through the development of an algorithm which maximizes the expected value of profit for a marketing campaign by combining one of the classifiers covered with the multiple regression example in the book. Style and approach An example-driven guide that builds a deeper knowledge and understanding of iterative machine learning development, test by test. Each topic develops solutions using failing tests to illustrate problems; these are followed by steps to pass the tests, simply and straightforwardly. Topics which use generated data explore how the data was generated, alongside explanations of the assumptions behind different machine learning techniques.

If you are a scientist, programmer, software engineer, or student who has working knowledge of matplotlib and now want to extend your usage of matplotlib to plot complex graphs and charts and handle large datasets, then this book is for you.

The book offers readers both a detailed de*ion as well as step by step instructions on deploying software solutions as well as Asterisk configurations. Screenshots are provided in sections to give a visual perspective of the instructions. For Asterisk configurations actual sample code is listed in the book which can be directly inserted into your Asterisk solution.This book is aimed at anyone who is interested in building a powerful telephony system using the free and open source application, Asterisk, without spending many thousands of dollars buying a commercial and often less flexible system. This book is suitable for the novice and those new to Asterisk and telephony. Telephony or Linux experience will be helpful, but not required.

This is a Packt Beginners Guide, which means it focuses on practical examples and has a friendly approach, with the opportunity to learn by experiment and play. We work through the project tutorials one block of code at a time, and we periodically pause to reflect on the relationship between our code blocks, our project, and Scratch programming in general. As you work through the book, you are encouraged to experiment with the concepts presented. As each chapter in the book progresses, the topics get increasingly more complex. Scratch is a teaching language, so it's ideal for people who want to learn how to program or teach others how to program. Educators and parents will learn how to program using Scratch, so they can use Scratch to teach the latest learning skills to their students and children. No previous computer programming knowledge is required. You only need to know how to perform basic tasks on a computer and this book will teach the rest. You can then use it as a platform to learn more advanced programming languages. Parents, stuck with a child who wants to play video games all nightMake a new rule. He can only play a video game if he programs the game first.

This is your practical guide to setting up a working environment and using Oracle Scheduler. Packed with simple examples and clear explanations, real-life scenarios are discussed to make you comfortable in implementing them in your own system. This book is intended for Administrators and Developers who currently use tools like cron, DBMS_JOB, and the task manager, but who now want more control or who have a need to scale up to tools that can handle the network. Complex tasks can be built that easily control business process and enable the completion of important tasks in limited time. The reader is expected to have some experience of Oracle Database Management, and a working knowledge of SQL and PL/SQL.

A simple yet concise step-by-step tutorial that starts from scratch and builds up your knowledge with focused examples that will enable you to set up and run an e-commerce website.This book is for beginners and will take you through the installation and configuration of Drupal Commerce from scratch, but some familiarity with Drupal 7 will be an advantage. All examples are based on development on a local computer – you do not need a hosted Drupal environment.