Python Data Science Essentials. Learn the fundamentals of Data Science with Python - Second Edition

Alberto Boschetti, Luca Massaron

Fully expanded and upgraded, the second edition of Python Data Science Essentials takes you through all you need to know to suceed in data science using Python. Get modern insight into the core of Python data, including the latest versions of Jupyter notebooks, NumPy, pandas and scikit-learn. Look beyond the fundamentals with beautiful data visualizations with Seaborn and ggplot, web development with Bottle, and even the new frontiers of deep learning with Theano and TensorFlow. Dive into building your essential Python 3.5 data science toolbox, using a single-source approach that will allow to to work with Python 2.7 as well. Get to grips fast with data munging and preprocessing, and all the techniques you need to load, analyse, and process your data. Finally, get a complete overview of principal machine learning algorithms, graph analysis techniques, and all the visualization and deployment instruments that make it easier to present your results to an audience of both data science experts and business users.

Learning Ansible 2. Click here to enter text. - Second Edition

Fabio Alessandro Locati

Ansible is an open source automation platform that assists organizations with tasks such as configuration management, application deployment, orchestration, and task automation. With Ansible, even complex tasks can be handled easier than before. In this book, you will learn about the fundamentals and practical aspects of Ansible 2 by diving deeply into topics such as installation (Linux, BSD, and Windows Support), playbooks, modules, various testing strategies, provisioning, deployment, and orchestration. In this book, you will get accustomed with the new features of Ansible 2 such as cleaner architecture, task blocks, playbook parsing, new execution strategy plugins, and modules. You will also learn how to integrate Ansible with cloud platforms such as AWS. The book ends with the enterprise versions of Ansible, Ansible Tower and Ansible Galaxy, where you will learn to interact Ansible with different OSes to speed up your work to previously unseen levelsBy the end of the book, you’ll able to leverage the Ansible parameters to create expeditious tasks for your organization by implementing the Ansible 2 techniques and paradigms.

Mastering pandas for Finance. Master pandas, an open source Python Data Analysis Library, for financial data analysis

Michael Heydt

Aligning Security Operations with the MITRE ATT&CK Framework. Level up your security operations center for better security

Rebecca Blair

The Mitre ATT&CK framework is an extraordinary resource for all SOC environments, however, determining the appropriate implementation techniques for different use cases can be a daunting task. This book will help you gain an understanding of the current state of your SOC, identify areas for improvement, and then fill the security gaps with appropriate parts of the ATT&CK framework. You’ll learn new techniques to tackle modern security threats and gain tools and knowledge to advance in your career.In this book, you’ll first learn to identify the strengths and weaknesses of your SOC environment, and how ATT&CK can help you improve it. Next, you’ll explore how to implement the framework and use it to fill any security gaps you’ve identified, expediting the process without the need for any external or extra resources. Finally, you’ll get a glimpse into the world of active SOC managers and practitioners using the ATT&CK framework, unlocking their expertise, cautionary tales, best practices, and ways to continuously improve.By the end of this book, you’ll be ready to assess your SOC environment, implement the ATT&CK framework, and advance in your security career.

The Essential Guide to Creating Multiplayer Games with Godot 4.0. Harness the power of Godot Engine's GDScript network API to connect players in multiplayer games

Henrique Campos, Nathan Lovato

The Essential Guide to Creating Multiplayer Games with Godot 4.0 guides you in exploring the built-in network API for online multiplayer games, offering practical knowledge through concrete use cases.Throughout the book, you'll assume the role of a network engineer in a fictional indie game studio, tackling real-world requests from your peers and gaining expertise in adding new network features to the studio's games. Following step-by-step instructions, you’ll go from making your first network handshake to optimizing online gameplay. You’ll learn how to sync players and pass data over the internet as you add online multiplayer features to a top-down shooter adventure game.This book puts you in a fictional game project team where you set up your first online server before advancing to creating an online chat system and transitioning local gameplay to go online. With a focus on implementing multiplayer features, you’ll create shared world adventures and learn optimization techniques to allow more players to join your virtual world.By the end of this book, you’ll have learned how to set up a client-server network, implement remote procedure calls (RPCs), sync node properties remotely, and optimize your games to create smooth online multiplayer experiences.

VMware Horizon View High Availability. Design, develop and deploy a highly available vSphere environment for VMware Horizon View

Andrew Alloway

Mastering ROS for Robotics Programming. Best practices and troubleshooting solutions when working with ROS - Third Edition

Lentin Joseph, Jonathan Cacace

The Robot Operating System (ROS) is a software framework used for programming complex robots. ROS enables you to develop software for building complex robots without writing code from scratch, saving valuable development time. Mastering ROS for Robotics Programming provides complete coverage of the advanced concepts using easy-to-understand, practical examples and step-by-step explanations of essential concepts that you can apply to your ROS robotics projects.The book begins by helping you get to grips with the basic concepts necessary for programming robots with ROS. You'll then discover how to develop a robot simulation, as well as an actual robot, and understand how to apply high-level capabilities such as navigation and manipulation from scratch. As you advance, you'll learn how to create ROS controllers and plugins and explore ROS's industrial applications and how it interacts with aerial robots. Finally, you'll discover best practices and methods for working with ROS efficiently.By the end of this ROS book, you'll have learned how to create various applications in ROS and build your first ROS robot.

Python 3 Text Processing with NLTK 3 Cookbook

Jacob Perkins

Mastering AWS Security. Strengthen your cloud environment using AWS security features coupled with proven strategies - Second Edition

Laurent Mathieu

If you’re trying to navigate the complex world of AWS security and fortify your organizational cloud environment, then this book is for you. Written by an accomplished cybersecurity and AWS cloud consultant, Mastering AWS Security will help you understand and master the complexities of AWS security. This book offers an in-depth and practical exploration of AWS security concepts, features, and services, focusing on how they apply to modern cloud-based application environments. As you progress, you’ll gain a thorough introduction to the art of security automation and DevSecOps. You’ll learn how to automate security tasks, integrate security into your development process, and maintain a high level of security as your applications evolve and scale. Emphasizing continuous monitoring and improvement, this book will teach you how to set up monitoring systems, interpret security data, and make informed decisions to enhance your security over time. Through real-world case studies, you’ll learn how to tackle the challenges and find solutions for securing AWS environments. By the end of this book, you’ll confidently secure your AWS environments, and stay up to date with the latest security trends and updates in the AWS ecosystem.

Symfony 1.3 Web Application Development. Design, develop, and deploy feature-rich, high-performance PHP web applications using the Symfony framework

Tim Bowler, Sensio (Fabien Potencier), Wojciech Bancer

With its flexible architecture, the Symfony framework allows you to build modern web applications and web services easily and rapidly. The MVC components separate the logic from the user interface and therefore make developing, changing, and testing your applications much faster. Using Symfony you can minimize repetitive coding tasks, optimize performance, and easily integrate with other libraries and frameworks.Although this framework contains with many powerful features, most developers do not exploit Symfony to its full potential.This book makes it easy to get started and produce a powerful and professional-looking web site utilizing the many features of Symfony. Taking you through a real-life application, it covers all major Symfony framework features without pushing you into too much theoretical detail, as well as throwing some light on the best practices for rapid application development.This book takes you through detailed examples as well as covering the foundations that you will need to get the most out of the Symfony framework. You will learn to shorten the development time of your complex applications and maintain them with ease. You will create several useful plug-ins and add them to your application and automate common tasks. The book also covers best practices and discussions on security and optimization. You will learn to utilize all major features of this framework by implementing them in your application.By the end, you should have a good understanding of the development features of Symfony (for Propel as well as Doctrine editions), and be able to deploy a high-performance web site quite easily.

Introduction to R for Quantitative Finance. R is a statistical computing language that's ideal for answering quantitative finance questions. This book gives you both theory and practice, all in clear language with stacks of real-world examples. Ideal for R beginners or expert alike

Gergely Daróczi, Michael Puhle, Edina Berlinger (EURO), Daniel Daniel Havran, ...

Introduction to R for Quantitative Finance will show you how to solve real-world quantitative fi nance problems using the statistical computing language R. The book covers diverse topics ranging from time series analysis to fi nancial networks. Each chapter briefl y presents the theory behind specific concepts and deals with solving a diverse range of problems using R with the help of practical examples.This book will be your guide on how to use and master R in order to solve quantitative finance problems. This book covers the essentials of quantitative finance, taking you through a number of clear and practical examples in R that will not only help you to understand the theory, but how to effectively deal with your own real-life problems.Starting with time series analysis, you will also learn how to optimize portfolios and how asset pricing models work. The book then covers fixed income securities and derivatives such as credit risk management.

Getting Started with XenDesktop 7.x. Deliver desktops and applications to your end users, anywhere, anytime, with XenDesktop 7.x

Craig Thomas Ellrod

Real-world Business Intelligence with Microsoft Dynamics GP. Become an expert at preparing reports using Dynamics GP quickly and efficiently

Belinda Allen, Belinda L Allen, Mark Polino

Refactoring in Java. Improving code design and maintainability for Java developers

Stefano Violetta

Refactoring in Java serves as an indispensable guide to enhancing your codebase’s quality and maintainability.The book begins by helping you get to grips with refactoring fundamentals, including cultivating good coding habits and identifying red flags. You’ll explore testing methodologies, essential refactoring techniques, and metaprogramming, as well as designing a good architecture. The chapters clearly explain how to refactor and improve your code using real-world examples and proven techniques. Part two equips you with the ability to recognize code smells, prioritize tasks, and employ automated refactoring tools, testing frameworks, and code analysis tools. You’ll discover best practices to ensure efficient code improvement so that you can navigate complexities with ease. In part three, the book focuses on continuous learning, daily practices enhancing coding proficiency, and a holistic view of the architecture. You’ll get practical tips to mitigate risks during refactoring, along with guidance on measuring impact to ensure that you become an efficient software craftsperson.By the end of this book, you’ll be able to avoid unproductive programming or architecturing, detect red flags, and propose changes to improve the maintainability of your codebase.

Serverless Architectures with Kubernetes. Create production-ready Kubernetes clusters and run serverless applications on them

Onur Yilmaz, Sathsara Sarathchandra

Kubernetes has established itself as the standard platform for container management, orchestration, and deployment. By learning Kubernetes, you’ll be able to design your own serverless architecture by implementing the function-as-a-service (FaaS) model.After an accelerated, hands-on overview of the serverless architecture and various Kubernetes concepts, you’ll cover a wide range of real-world development challenges faced by real-world developers, and explore various techniques to overcome them. You’ll learn how to create production-ready Kubernetes clusters and run serverless applications on them. You'll see how Kubernetes platforms and serverless frameworks such as Kubeless, Apache OpenWhisk and OpenFaaS provide the tooling to help you develop serverless applications on Kubernetes. You'll also learn ways to select the appropriate framework for your upcoming project. By the end of this book, you’ll have the skills and confidence to design your own serverless applications using the power and flexibility of Kubernetes.

R: Predictive Analysis. Master the art of predictive modeling

Eric Mayor, Tony Fischetti, Rui Miguel Forte

Predictive analytics is a field that uses data to build models that predict a future outcome of interest. It can be applied to a range of business strategies and has been a key player in search advertising and recommendation engines.The power and domain-specificity of R allows the user to express complex analytics easily, quickly, and succinctly. R offers a free and open source environment that is perfect for both learning and deploying predictive modeling solutions in the real world. This Learning Path will provide you with all the steps you need to master the art of predictive modeling with R. We start with an introduction to data analysis with R, and then gradually you’ll get your feet wet with predictive modeling. You will get to grips with the fundamentals of applied statistics and build on this knowledge to perform sophisticated and powerful analytics. You will be able to solve the difficulties relating to performing data analysis in practice and find solutions to working with “messy data”, large data, communicating results, and facilitating reproducibility. You will then perform key predictive analytics tasks using R, such as train and test predictive models for classification and regression tasks, score new data sets and so on. By the end of this Learning Path, you will have explored and tested the most popular modeling techniques in use on real-world data sets and mastered a diverse range of techniques in predictive analytics.This Learning Path combines some of the best that Packt has to offer in one complete, curated package. It includes content from the following Packt products:• Data Analysis with R, Tony Fischetti• Learning Predictive Analytics with R, Eric Mayor• Mastering Predictive Analytics with R, Rui Miguel Forte