Programowanie

Mastering Predictive Analytics with R. Master the craft of predictive modeling by developing strategy, intuition, and a solid foundation in essential concepts

Rui Miguel Forte

This book is intended for the budding data scientist, predictive modeler, or quantitative analyst with only a basic exposure to R and statistics. It is also designed to be a reference for experienced professionals wanting to brush up on the details of a particular type of predictive model. Mastering Predictive Analytics with R assumes familiarity with only the fundamentals of R, such as the main data types, simple functions, and how to move data around. No prior experience with machine learning or predictive modeling is assumed, however you should have a basic understanding of statistics and calculus at a high school level.

Mastering Predictive Analytics with scikit-learn and TensorFlow. Implement machine learning techniques to build advanced predictive models using Python

Alvaro Fuentes

Python is a programming language that provides a wide range of features that can be used in the field of data science. Mastering Predictive Analytics with scikit-learn and TensorFlow covers various implementations of ensemble methods, how they are used with real-world datasets, and how they improve prediction accuracy in classification and regression problems.This book starts with ensemble methods and their features. You will see that scikit-learn provides tools for choosing hyperparameters for models. As you make your way through the book, you will cover the nitty-gritty of predictive analytics and explore its features and characteristics. You will also be introduced to artificial neural networks and TensorFlow, and how it is used to create neural networks. In the final chapter, you will explore factors such as computational power, along with improvement methods and software enhancements for efficient predictive analytics.By the end of this book, you will be well-versed in using deep neural networks to solve common problems in big data analysis.

Mastering Prometheus. Monitor your infrastructure, applications, and services with expert tips and tricks

William Hegedus

With growing focus on observability and reliability, establishing a scalable and reliable monitoring environment is more important than ever. Over the last decade, Prometheus has emerged as the leading open-source, time-series based monitoring software catering to this demand. Written by an open-source advocate and Prometheus contributor, this guide provides an in-depth look at Prometheus, covering best practices and offering insights into scaling, operating, and extending Prometheus, from small on-premises workloads to multi-cloud, globally distributed environments.The book helps you revisit the basics of Prometheus, before moving on to advanced techniques of observability and monitoring using Prometheus. You’ll find out how to deploy Prometheus on Kubernetes and achieve an HA alerting infrastructure in Prometheus. You’ll also learn to leverage Prometheus in your daily operations through alerts, Grafana dashboards, and building your own exporter. Finally, you’ll explore various open-source projects that extend the functionality of Prometheus, help with various aspects of running Prometheus at scale, and make the most of Prometheus data.By the end of this book, you’ll be able to confidently build, automate, and deliver your infrastructure and CI/CD pipelines in cloud-based applications.

Mastering Prometheus. Monitor your infrastructure, applications, and services with expert tips and tricks

William Hegedus

With growing focus on observability and reliability, establishing a scalable and reliable monitoring environment is more important than ever. Over the last decade, Prometheus has emerged as the leading open-source, time-series based monitoring software catering to this demand. Written by an open-source advocate and Prometheus contributor, this guide provides an in-depth look at Prometheus, covering best practices and offering insights into scaling, operating, and extending Prometheus, from small on-premises workloads to multi-cloud, globally distributed environments.The book helps you revisit the basics of Prometheus, before moving on to advanced techniques of observability and monitoring using Prometheus. You’ll find out how to deploy Prometheus on Kubernetes and achieve an HA alerting infrastructure in Prometheus. You’ll also learn to leverage Prometheus in your daily operations through alerts, Grafana dashboards, and building your own exporter. Finally, you’ll explore various open-source projects that extend the functionality of Prometheus, help with various aspects of running Prometheus at scale, and make the most of Prometheus data.By the end of this book, you’ll be able to confidently build, automate, and deliver your infrastructure and CI/CD pipelines in cloud-based applications.

Mastering Proxmox. Build virtualized environments using the Proxmox VE hypervisor - Third Edition

Wasim Ahmed

Proxmox is an open source server virtualization solution that has enterprise-class features for managing virtual machines, for storage, and to virtualize both Linux and Windows application workloads.You'll begin with a refresher on the advanced installation features and the Proxmox GUI to familiarize yourself with the Proxmox VE hypervisor. Then, you'll move on to explore Proxmox under the hood, focusing on storage systems, such as Ceph, used with Proxmox. Moving on, you'll learn to manage KVM virtual machines, deploy Linux containers fast, and see how networking is handled in Proxmox. You'll also learn how to protect a cluster or a VM with a firewall and explore the new high availability features introduced in Proxmox VE 5.0. Next, you'll dive deeper into the backup/restore strategy and see how to properly update and upgrade a Proxmox node. Later, you'll learn how to monitor a Proxmox cluster and all of its components using Zabbix. Finally, you'll discover how to recover Promox from disaster strikes through some real-world examples. By the end of the book, you'll be an expert at making Proxmox work in production environments with minimal downtime.

Mastering Proxmox. Master Proxmox VE to effectively implement server virtualization technology within your network

Wasim Ahmed

This is not an instructional guide, but a practical, scenario-based book which guides you through everything you need to know in a practical manner by letting you build your own cluster. By the end of the book, you will have a fully functional Proxmox cluster setup at your disposal and have the knowledge to replicate virtualization solutions .If you already know what the word virtualization means and you are ready to stand out from the crowd equipped with the unique ability to design and implement a rock-solid virtualized network environment using Proxmox, then you have just picked up the only book you will need. Linux system administration experience together with knowledge of networking and virtualization concepts is assumed. This book is also useful if you are already using Proxmox and simply want to master its advanced features.

Mastering Puppet. Master Puppet for configuration management of your systems in an enterprise deployment - Second Edition

Thomas Uphill

Puppet is a configuration management system and a language. It was written for and by system administrators to manage large numbers of systems efficiently and prevent configuration drifts.Mastering Puppet deals with the issues faced when scaling out Puppet to handle large numbers of nodes. It will show you how to fit Puppet into your enterprise and allow many developers to work on your Puppet code simultaneously. In addition, you will learn to write custom facts and roll your own modules to solve problems. Next, popular options for performing reporting and orchestration tasks will be introduced in this book. Moving over to troubleshooting techniques, which will be very useful. The concepts presented are useful to any size organization. By the end of the book, you will know how to deal with problems of scale and exceptions in your code, automate workflows, and support multiple developers working simultaneously.

Mastering PyCharm. Use PyCharm with fluid efficiency to write idiomatic python code

Nafiul Islam

PyCharm is addictive, with powerful and configurable code completion, superb editing tools, top-notch support, diverse plugins, and a vibrant ecosystem to boot. Learning how PyCharm works and maximising the synergy of its powerful tools will help you to rapidly develop applications.From leveraging the power of the editor to understanding PyCharm's internals, this book will give you a comprehensive view of PyCharm and allow you to make your own choices about which workflow and tools are best for you.You will start by getting comfortable with PyCharm and making it look exactly like you want. You can customize the tools and taskbars to suit individual developers' coding styles. You also learn how to assign keyboard shortcuts. You will master debugging by inserting breakpoints, collecting runtime data, and debugging from the console. You will understand how PyCharm works underneath and how plugins such as Codemap, Vim, Bitbucket, Assets compressor, markdown, bash file, shortcut translator, and .gitignore leverage the power of the IntelliJ platform.You will become comfortable using the VCS interface in PyCharm and see the benefits of using it for some simple tasks as well as some more complex tasks such as partial commits using changelists.You will take an in-depth look at the various tools in PyCharm, improving your workflow drastically. Finally, you will deploy powerful PyCharm tools for Django, Flask, GAE, and Pyramid Development, becoming well acquainted with PyCharm’s toolset for web development with popular platforms.Packed with insider tricks, this book will help you boost productivity with PyCharm.

Mastering Python 2E. Write powerful and efficient code using the full range of Python's capabilities - Second Edition

Rick Hattem

Even if you find writing Python code easy, writing code that is efficient, maintainable, and reusable is not so straightforward. Many of Python’s capabilities are underutilized even by more experienced programmers. Mastering Python, Second Edition, is an authoritative guide to understanding advanced Python programming so you can write the highest quality code. This new edition has been extensively revised and updated with exercises, four new chapters and updates up to Python 3.10.Revisit important basics, including Pythonic style and syntax and functional programming. Avoid common mistakes made by programmers of all experience levels. Make smart decisions about the best testing and debugging tools to use, optimize your code’s performance across multiple machines and Python versions, and deploy often-forgotten Python features to your advantage. Get fully up to speed with asyncio and stretch the language even further by accessing C functions with simple Python calls. Finally, turn your new-and-improved code into packages and share them with the wider Python community.If you are a Python programmer wanting to improve your code quality and readability, this Python book will make you confident in writing high-quality scripts and taking on bigger challenges