Название: Python Programming on Win32 ISBN: 1565926218 ISBN-13(EAN): 9781565926219 Издательство: Wiley Рейтинг: Цена: 7602.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Demonstrates how to use Python as a serious Windows development tool. The book addresses all the basic technolgies for common integration tasks on Windows, explaining both the Windows issues and the Python code needed to glue things together.
Описание: Now, a leader of Northwestern University's prestigious analytics program presents a fully-integrated treatment of both the business and academic elements of marketing applications in predictive analytics. Writing for both managers and students, Thomas W. Miller explains essential concepts, principles, and theory in the context of real-world applications.
Building on Miller's pioneering program, Marketing Data Science thoroughly addresses segmentation, target marketing, brand and product positioning, new product development, choice modeling, recommender systems, pricing research, retail site selection, demand estimation, sales forecasting, customer retention, and lifetime value analysis. Starting where Miller's widely-praised Modeling Techniques in Predictive Analytics left off, he integrates crucial information and insights that were previously segregated in texts on web analytics, network science, information technology, and programming. Coverage includes:
The role of analytics in delivering effective messages on the web
Understanding the web by understanding its hidden structures
Being recognized on the web - and watching your own competitors
Visualizing networks and understanding communities within them
Measuring sentiment and making recommendations
Leveraging key data science methods: databases/data preparation, classical/Bayesian statistics, regression/classification, machine learning, and text analytics
Six complete case studies address exceptionally relevant issues such as: separating legitimate email from spam; identifying legally-relevant information for lawsuit discovery; gleaning insights from anonymous web surfing data, and more. This text's extensive set of web and network problems draw on rich public-domain data sources; many are accompanied by solutions in Python and/or R. Marketing Data Science will be an invaluable resource for all students, faculty, and professional marketers who want to use business analytics to improve marketing performance.
Автор: Langtangen Hans Petter Название: A Primer on Scientific Programming with Python ISBN: 3662498863 ISBN-13(EAN): 9783662498866 Издательство: Springer Рейтинг: Цена: 4890.00 р. 6986.00-30% Наличие на складе: Есть (1 шт.) Описание: The book serves as a first introduction to computer programming of scientific applications, using the high-level Python language. The exposition is example and problem-oriented, where the applications are taken from mathematics, numerical calculus, statistics, physics, biology and finance. The book teaches 'Matlab-style' and procedural programming as well as object-oriented programming. High school mathematics is a required background and it is advantageous to study classical and numerical one-variable calculus in parallel with reading this book. Besides learning how to program computers, the reader will also learn how to solve mathematical problems, arising in various branches of science and engineering, with the aid of numerical methods and programming. By blending programming, mathematics and scientific applications, the book lays a solid foundation for practicing computational science.From the reviews: Langtangen … does an excellent job of introducing programming as a set of skills in problem solving. He guides the reader into thinking properly about producing program logic and data structures for modeling real-world problems using objects and functions and embracing the object-oriented paradigm. … Summing Up: Highly recommended. F. H. Wild III, Choice, Vol. 47 (8), April 2010Those of us who have learned scientific programming in Python ‘on the streets’ could be a little jealous of students who have the opportunity to take a course out of Langtangen’s Primer.” John D. Cook, The Mathematical Association of America, September 2011This book goes through Python in particular, and programming in general, via tasks that scientists will likely perform. It contains valuable information for students new to scientific computing and would be the perfect bridge between an introduction to programming and an advanced course on numerical methods or computational science.Alex Small, IEEE, CiSE Vol. 14 (2), March?/April 2012 “This fourth edition is awonderful, inclusive textbook that covers pretty much everything one needs toknow to go from zero to fairly sophisticated scientific programming in Python…”Joan Horvath, Computing Reviews, March2015
Автор: Idris, Ivan (Author) Название: Python Data Analysis Cookbook ISBN: 178528228X ISBN-13(EAN): 9781785282287 Издательство: Неизвестно Рейтинг: Цена: 10114.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Over 140 practical recipes to help you make sense of your data with ease and build production-ready data appsAbout This Book* Analyze Big Data sets, create attractive visualizations, and manipulate and process various data types* Packed with rich recipes to help you learn and explore amazing algorithms for statistics and machine learning* Authored by Ivan Idris, expert in python programming and proud author of eight highly reviewed booksWho This Book Is ForThis book teaches Python data analysis at an intermediate level with the goal of transforming you from journeyman to master. Basic Python and data analysis skills and affinity are assumed. What You Will Learn* Set up reproducible data analysis* Clean and transform data* Apply advanced statistical analysis* Create attractive data visualizations* Web scrape and work with databases, Hadoop, and Spark* Analyze images and time series data* Mine text and analyze social networks* Use machine learning and evaluate the results* Take advantage of parallelism and concurrencyIn DetailData analysis is a rapidly evolving field and Python is a multi-paradigm programming language suitable for object-oriented application development and functional design patterns.
As Python offers a range of tools and libraries for all purposes, it has slowly evolved as the primary language for data science, including topics on: data analysis, visualization, and machine learning. Python Data Analysis Cookbook focuses on reproducibility and creating production-ready systems. You will start with recipes that set the foundation for data analysis with libraries such as matplotlib, NumPy, and pandas.
You will learn to create visualizations by choosing color maps and palettes then dive into statistical data analysis using distribution algorithms and correlations. You'll then help you find your way around different data and numerical problems, get to grips with Spark and HDFS, and then set up migration scripts for web mining. In this book, you will dive deeper into recipes on spectral analysis, smoothing, and bootstrapping methods.
Moving on, you will learn to rank stocks and check market efficiency, then work with metrics and clusters. You will achieve parallelism to improve system performance by using multiple threads and speeding up your code. By the end of the book, you will be capable of handling various data analysis techniques in Python and devising solutions for problem scenarios.
Style and ApproachThe book is written in "cookbook" style striving for high realism in data analysis. Through the recipe-based format, you can read each recipe separately as required and immediately apply the knowledge gained.
Описание: Book presents the theoretical aspects of surface and ground water hydraulics, contaminant transport, hydrological and water resource systems. It explains the solution approaches to solve the required analytical and partial differential equations through computer codes and their applications. The codes are based on the Python computational platform.
Автор: Moshe Zadka Название: DevOps in Python ISBN: 148424432X ISBN-13(EAN): 9781484244326 Издательство: Springer Рейтинг: Цена: 4611.00 р. Наличие на складе: Поставка под заказ.
Описание:
Explore and apply best practices for efficient application deployment. This book draws upon author Moshe Zadka's years of Dev Ops experience and focuses on the parts of Python, and the Python ecosystem, that are relevant for DevOps engineers.
You'll start by writing command-line scripts and automating simple DevOps-style tasks. You'll then move on to more advanced cases, like using Jupyter as an auditable remote-control panel, and writing Ansible and Salt extensions. This work also covers how to use the AWS API to manage cloud infrastructure, and how to manage Python programs and environments on remote machines.
Python was invented as a systems management language for distributed operating systems, which makes it an ideal tool for DevOps. ?Assuming a basic understanding of Python concepts, this book is perfect for engineers who want to move from operations/system administration into coding.
What You'll Learn
Use third party packages and create new packagesCreate operating system management and automation code in PythonWrite testable code, and testing best practicesWork with REST APIs for web clients
Who This Book Is For
Junior or intermediate sysadmin who has picked up some bash and Python basics.
Описание: Bring together the Python programming language and Microsoft's PowerShell to address digital investigations and create state-of-the-art solutions for administrators, IT personnel, cyber response teams, and forensic investigators. You will learn how to join PowerShell's robust set of commands and access to the internals of both the MS Windows desktop and enterprise devices and Python's rich scripting environment allowing for the rapid development of new tools for investigation, automation, and deep analysis. PowerShell and Python Togethertakes a practical approach that provides an entry point and level playing field for a wide range of individuals, small companies, researchers, academics, students, and hobbyists to participate.
What You'll Learn
Leverage the internals of PowerShell for: digital investigation, incident response, and forensics
Leverage Python to exploit already existing PowerShell CmdLets and aliases to build new automation and analysis capabilities
Create combined PowerShell and Python applications that provide: rapid response capabilities to cybersecurity events, assistance in the precipitous collection of critical evidence (from the desktop and enterprise), and the ability to analyze, reason about, and respond to events and evidence collected across the enterprise
Who This Book Is For
System administrators, IT personnel, incident response teams, forensic investigators, professors teaching in undergraduate and graduate programs in cybersecurity, students in cybersecurity and computer science programs, and software developers and engineers developing new cybersecurity defenses
Описание: This new edition is completely revised and updated to work with Python 3. In addition to new chapters on network data analysis with ELK stack (Elasticsearch, Logstash, Kibana, and Beats) and Azure Cloud Networking, it also includes updates on using newer libraries such as pyATS, Genie, and Nornir, as well as Ansible 2.8.
Автор: Farooqui Название: Enterprise DevOps Framework ISBN: 1484236114 ISBN-13(EAN): 9781484236116 Издательство: Springer Рейтинг: Цена: 3912.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Transform your IT organization from one weighed down by set practices to one with a DevOps culture and a cloud-first strategy that is optimized by automation and other lean practices. In this engaging read, you will discover the opportunities, challenges, lessons, and rewards that CA Technologies encountered when making their agile and DevOps transformation.
In Enterprise DevOps Framework author Shamayel Farooqui shows you how agile adoption will enable your organization to stay ahead in an ever-changing business environment and meet your customers' needs. He includes detailed references to key concepts such as agile, hybrid and cloud technology, infrastructure management, and process automation.
What You'll Learn
Establish the focus areas for your IT organization
Prepare for the challenges of transforming your enterprise to a DevOps, agile organization
Know the key steps for executing an enterprise DevOps strategy
Build a strong team of DevOps individuals focused on improving the efficiency of your organization through Agile methodologies, automation, cloud adoption, and "infrastructure as code" practices
Who This Book Is For
IT administrators, operational personnel, cloud professionals, DevOps professionals, human resources professionals, managers, and C-level staff
Автор: Machiraju Название: DevOps for Azure Applications ISBN: 1484236424 ISBN-13(EAN): 9781484236420 Издательство: Springer Рейтинг: Цена: 4890.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Chapter 1: DevOps for Azure
Chapter Goal:
Traditionally, software development life cycle warranted siloed teams taking on specific tasks, i.e., Development Team and Operations Team wherein the Developers were responsible for writing code, checking in the source code into source control, testing the code, QA of the code and staging. The Operations/Production team was responsible for deploying the code to servers and thereafter coordinating with the customers and providing feedback to developers. Such siloed efforts were mostly manual processes with a small degree of siloed Application/Software deployment process. This manual process had several drawbacks and some of them are as follows:
No of pages 13
Chapter 01: DevOps for Azure ........................................................ 9-16
Need for DevOps ..................................................................................... 9
Describing the Functions of DevOps ..................................................... 10
Chapter 2: Deployment via TeamCity and Octopus Deploy
Chapter Goal:
As discussed in the earlier chapter, an application deployment in DevOps requires a Continuous Integration (CI) tool and Continuous Delivery (CD) tool/release management software to automate the entire process. Currently, there are several such tools available in the market. In this chapter, we will use TeamCity as a CI tool and Octopus Deploy as a release management and CD software to get our package deployed on Azure Web Application.
No of pages 28
Chapter 02: Deployment via TeamCity and Octopus Deploy .... 17-44
Introduction to Microsoft Public Cloud, Azure ..................................... 17
In the earlier chapter, we learned the process of deploying Applications to Azure through different on-premise tools. We used TeamCity as CI tool and Octopus Deploy as CD tool. The major problem with the earlier solution was that there was need of separate tools to deploy Applications. VSTS is a collaborative solution that takes care of the entire software deployment lifecycle from creating packages to deploying the Application. In this chapter, we will go through the entire process of Application deployment to Azure using VSTS.
Описание: Deploy a SharePoint farm in a repeatable, predictable, and reliable fashion using Infrastructure as Code (IaC) techniques to automate provisioning. Savvy IT pros will learn how to use DevOps practices and open source tools to greatly reduce costs, and streamline management operations for SharePoint farms deployed via Amazon Web Services (AWS), Azure, or on premise. DevOps for SharePoint will help you navigate the complex challenges of deploying and managing SharePoint Server farms. You will learn how to reduce time-consuming tasks and errors when generating development, testing, or production environments. And you will benefit from learning proven methods to apply Microsoft updates with minimal downtime and productivity loss. Whether you are a SharePoint architect, IT pro, or developer helping customers with the SharePoint platform, this book will teach you the most useful DevOps practices to tackle those issues and broaden your skill set.What You’ll LearnUnderstand the basics of the most popular open source tools—Vagrant, Packer, Terraform, and Ansible—and how to use them in the context of deploying and scaling a SharePoint farmUse Vagrant to build SharePoint development environments in less than an hour, and add automated testingUse Packer to create a “golden image” with preconfigured settings, and then use it as the base image in your Terraform configuration for both AWS and Azure farmsUse Terraform to scale your SharePoint farm topologyUse Red Hat’s Ansible Playbooks to perform configuration management on your farmUse Terraform to deploy immutable infrastructure environments using IaC (Infrastructure as Code)Use InSpec 2.0 to stay in compliance by testing your cloud infrastructureUse Ansible to apply Microsoft updates and patches Who This Book Is ForIT pros and developers who are looking to expand their knowledge and take a modern approach by using open source technologies to work with Microsoft products. Experience installing SharePoint, and a basic understanding of either Azure or AWS, is helpful.
Описание: Create generic pipelines to reduce your overall DevOps workload and allow your team to deliver faster. This book helps you get up to speed on the pros and cons of generic pipeline methodology, and learn to combine shell scripts and Docker to build generic pipelines.In today’s world of micro-services and agile practices, DevOps teams need to move as fast as feature teams. This can be extremely challenging if you’re creating multiple pipelines per application or tech stack. What if your feature teams could utilize a generic pipeline that could build, test, and deploy any application, regardless of tech stack? What if that pipeline was also cloud and platform agnostic? Too good to be true? Well think again! Generic Pipelines Using Docker explores the principles and implementations that allow you to do just that. You will learn from real-world examples and reusable code. After reading this book you will have the knowledge to build generic pipelines that any team can use. What You'll Learn Explore the pros and cons of generic pipeline methodologyCombine shell scripts and Docker to build a generic pipelineImplement a pipeline across CI/CD platformsBuild a pipeline that lends itself well to both centralized and federated DevOps teamsConstruct a modular pipeline with components that can be added, removed, or replaced as needed Who This Book Is ForProfessionals who use DevOps or are part of a DevOps team, and are seeking ways to streamline their pipelines and drive more deployments while using less code
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