Видавець: Packt Publishing
Founded in 2004 in Birmingham, UK, Packt's mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals. Working towards that vision, we have published over 6,500 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done - whether that's specific learning on an emerging technology or optimizing key skills in more established tools. As part of our mission, we have also awarded over $1,000,000 through our Open Source Project Royalty scheme, helping numerous projects become household names along the way.
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Microsoft 365 Security, Compliance, and Identity Administration. Plan and implement security and compliance strategies for Microsoft 365 and hybrid environments

Peter Rising

The Microsoft 365 Security, Compliance, and Identity Administration is designed to help you manage, implement, and monitor security and compliance solutions for Microsoft 365 environments.With this book, you’ll first configure, administer identity and access within Microsoft 365. You’ll learn about hybrid identity, authentication methods, and conditional access policies with Microsoft Intune. Next, you’ll discover how RBAC and Azure AD Identity Protection can be used to detect risks and secure information in your organization. You’ll also explore concepts such as Microsoft Defender for endpoint and identity, along with threat intelligence. As you progress, you’ll uncover additional tools and techniques to configure and manage Microsoft 365, including Azure Information Protection, Data Loss Prevention (DLP), and Microsoft Defender for Cloud Apps.By the end of this book, you’ll be well-equipped to manage and implement security measures within your Microsoft 365 suite successfully.

1387
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1388
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The Data Science Workshop. A New, Interactive Approach to Learning Data Science

Anthony So, Thomas V. Joseph, Robert Thas John, Andrew Worsley, ...

You already know you want to learn data science, and a smarter way to learn data science is to learn by doing. The Data Science Workshop focuses on building up your practical skills so that you can understand how to develop simple machine learning models in Python or even build an advanced model for detecting potential bank frauds with effective modern data science. You'll learn from real examples that lead to real results.Throughout The Data Science Workshop, you'll take an engaging step-by-step approach to understanding data science. You won't have to sit through any unnecessary theory. If you're short on time you can jump into a single exercise each day or spend an entire weekend training a model using sci-kit learn. It's your choice. Learning on your terms, you'll build up and reinforce key skills in a way that feels rewarding.Every physical print copy of The Data Science Workshop unlocks access to the interactive edition. With videos detailing all exercises and activities, you'll always have a guided solution. You can also benchmark yourself against assessments, track progress, and receive content updates. You'll even earn a secure credential that you can share and verify online upon completion. It's a premium learning experience that's included with your printed copy. To redeem, follow the instructions located at the start of your data science book.Fast-paced and direct, The Data Science Workshop is the ideal companion for data science beginners. You'll learn about machine learning algorithms like a data scientist, learning along the way. This process means that you'll find that your new skills stick, embedded as best practice. A solid foundation for the years ahead.

1389
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Instant Windows PowerShell. Manage and automate your Windows Server Environment efficiently using PowerShell

Vinith Menon

Windows PowerShell comprises numerous major features that extend its use, advance its usability, and allow you to control and manage Windows-based environments.Windows PowerShell is backward-compatible. Cmdlets, providers, modules, snap-ins, scripts, functions, and profiles that were designed for Windows PowerShell 2.0 work in Windows PowerShell 3.0 without any changes.A practical, hands-on guide that provides you with a number of clear step-by-step exercises which will help you take advantage of the real power that is Windows PowerShell.Starting by listing the New Features in PowerShell 3.0, this book goes on to break down the mystery and confusion that surrounds which feature to use and when. It will take you through a number of clear, practical sections that will help you to take advantage of PowerShell, easily and quickly.You will also learn how to use PowerShell for file and folder management in a Windows Server Environment. The book will also also show you how to use PowerShell Web Access for secure Windows Management anywhere, any time, on any device.Learn how to secure and sign the scripts you write using the script signing feature in PowerShell, understand how to use PowerShell to secure and administer a PKI environment, and discover how to use a BPA module to analyze the security integrity of a system as per Microsoft requirements. If you want to take your first step into PowerShell 3.0 to manage your Windows environment, then this is the book for you.

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Mastering Python Data Analysis. Become an expert at using Python for advanced statistical analysis of data using real-world examples

Luiz Felipe Martins, Gavin Hackeling, Magnus Vilhelm Persson

Python, a multi-paradigm programming language, has become the language of choice for data scientists for data analysis, visualization, and machine learning. Ever imagined how to become an expert at effectively approaching data analysis problems, solving them, and extracting all of the available information from your data? Well, look no further, this is the book you want!Through this comprehensive guide, you will explore data and present results and conclusions from statistical analysis in a meaningful way. You’ll be able to quickly and accurately perform the hands-on sorting, reduction, and subsequent analysis, and fully appreciate how data analysis methods can support business decision-making.You’ll start off by learning about the tools available for data analysis in Python and will then explore the statistical models that are used to identify patterns in data. Gradually, you’ll move on to review statistical inference using Python, Pandas, and SciPy. After that, we’ll focus on performing regression using computational tools and you’ll get to understand the problem of identifying clusters in data in an algorithmic way. Finally, we delve into advanced techniques to quantify cause and effect using Bayesian methods and you’ll discover how to use Python’s tools for supervised machine learning.

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Modern Python Cookbook. 133 recipes to develop flawless and expressive programs in Python 3.8 - Second Edition

Steven F. Lott

Python is the preferred choice of developers, engineers, data scientists, and hobbyists everywhere. It is a great language that can power your applications and provide great speed, safety, and scalability. It can be used for simple scripting or sophisticated web applications. By exposing Python as a series of simple recipes, this book gives you insight into specific language features in a particular context. Having a tangible context helps make the language or a given standard library feature easier to understand.This book comes with 133 recipes on the latest version of Python 3.8. The recipes will benefit everyone, from beginners just starting out with Python to experts. You'll not only learn Python programming concepts but also how to build complex applications.The recipes will touch upon all necessary Python concepts related to data structures, object oriented programming, functional programming, and statistical programming. You will get acquainted with the nuances of Python syntax and how to effectively take advantage of it.By the end of this Python book, you will be equipped with knowledge of testing, web services, configuration, and application integration tips and tricks. You will be armed with the knowledge of how to create applications with flexible logging, powerful configuration, command-line options, automated unit tests, and good documentation.