Verleger: K-i-s-publishing
Rahul Sharma, Vesa Kaihlavirta, Claus Matzinger
Rust is a powerful language with a rare combination of safety, speed, and zero-cost abstractions. This Learning Path is filled with clear and simple explanations of its features along with real-world examples, demonstrating how you can build robust, scalable, and reliable programs.You’ll get started with an introduction to Rust data structures, algorithms, and essential language constructs. Next, you will understand how to store data using linked lists, arrays, stacks, and queues. You’ll also learn to implement sorting and searching algorithms, such as Brute Force algorithms, Greedy algorithms, Dynamic Programming, and Backtracking. As you progress, you’ll pick up on using Rust for systems programming, network programming, and the web. You’ll then move on to discover a variety of techniques, right from writing memory-safe code, to building idiomatic Rust libraries, and even advanced macros. By the end of this Learning Path, you’ll be able to implement Rust for enterprise projects, writing better tests and documentation, designing for performance, and creating idiomatic Rust code.This Learning Path includes content from the following Packt products:• Mastering Rust - Second Edition by Rahul Sharma and Vesa Kaihlavirta• Hands-On Data Structures and Algorithms with Rust by Claus Matzinger
The Complete VMware vSphere Guide. Design a virtualized data center with VMware vSphere 6.7
Mike Brown, Hersey Cartwright, Martin Gavanda, Andrea...
vSphere 6.7 is the latest release of VMware's industry-leading virtual cloud platform. By understanding how to manage, secure, and scale apps with vSphere 6.7, you can easily run even the most demanding of workloads. This Learning Path begins with an overview of the features of the vSphere 6.7 suite. You'll learn how to plan and design a virtual infrastructure. You'll also gain insights into best practices to efficiently configure, manage, and secure apps. Next, you'll pick up on how to enhance your infrastructure with high-performance storage access, such as remote direct memory access (RDMA) and Persistent memory. The book will even guide you in securing your network with security features, such as encrypted vMotion and VM-level encryption. Finally, by learning how to apply Proactive High Availability and Predictive Distributed Resource Scheduler (DRS), you'll be able to achieve enhanced computing, storage, network, and management capabilities for your virtual data center.By the end of this Learning Path, you'll be able to build your own VMware vSphere lab that can run high workloads.This Learning Path includes content from the following Packt products:VMware vSphere 6.7 Data Center Design Cookbook - Third Edition by Mike Brown and Hersey CartwrightMastering VMware vSphere 6.7 - Second Edition by Martin Gavanda, Andrea Mauro, Karel Novak, and Paolo Valsecchi
Hafsa Asad, Vishwesh Ravi Shrimali, Nikhil Singh
Computer Vision (CV) has become an important aspect of AI technology. From driverless cars to medical diagnostics and monitoring the health of crops to fraud detection in banking, computer vision is used across all domains to automate tasks. The Computer Vision Workshop will help you understand how computers master the art of processing digital images and videos to mimic human activities.Starting with an introduction to the OpenCV library, you'll learn how to write your first script using basic image processing operations. You'll then get to grips with essential image and video processing techniques such as histograms, contours, and face processing. As you progress, you'll become familiar with advanced computer vision and deep learning concepts, such as object detection, tracking, and recognition, and finally shift your focus from 2D to 3D visualization. This CV course will enable you to experiment with camera calibration and explore both passive and active canonical 3D reconstruction methods.By the end of this book, you'll have developed the practical skills necessary for building powerful applications to solve computer vision problems.
IT Governance Publishing, Alan Calder
This book offers a deep dive into cybersecurity, equipping professionals with tools and frameworks to protect organizations from diverse cyber threats. It covers critical areas such as information security, cyber resilience, and the regulatory and contractual requirements organizations must meet. The book delves into threat anatomy, analyzing technical, human, physical, and third-party vulnerabilities, and includes real-world case studies like the TalkTalk breach and WannaCry ransomware attack.It also emphasizes third-party risk management to ensure robust security practices across all areas. The book introduces the IT Governance Cyber Resilience Framework (CRF), a structured method for managing critical systems, guiding readers through the processes of identification, detection, response, recovery, and continual improvement. Practical strategies in areas like asset management, network security, and staff training are included.The final section offers actionable steps for implementing cybersecurity practices and introduces reference frameworks like NIST and ISO 27001 for compliance and ongoing improvement. With real-world examples and actionable frameworks, this guide is essential for professionals aiming to enhance their organization's cyber resilience.
Jeremy Wittkop
Security is everyone's responsibility and for any organization, the focus should be to educate their employees about the different types of security attacks and how to ensure that security is not compromised.This cybersecurity book starts by defining the modern security and regulatory landscape, helping you understand the challenges related to human behavior and how attacks take place. You'll then see how to build effective cybersecurity awareness and modern information security programs. Once you've learned about the challenges in securing a modern enterprise, the book will take you through solutions or alternative approaches to overcome those issues and explain the importance of technologies such as cloud access security brokers, identity and access management solutions, and endpoint security platforms. As you advance, you'll discover how automation plays an important role in solving some key challenges and controlling long-term costs while building a maturing program. Toward the end, you'll also find tips and tricks to keep yourself and your loved ones safe from an increasingly dangerous digital world.By the end of this book, you'll have gained a holistic understanding of cybersecurity and how it evolves to meet the challenges of today and tomorrow.
Gururajan Govindan, Shubhangi Hora, Konstantin Palagachev
Businesses today operate online and generate data almost continuously. While not all data in its raw form may seem useful, if processed and analyzed correctly, it can provide you with valuable hidden insights. The Data Analysis Workshop will help you learn how to discover these hidden patterns in your data, to analyze them, and leverage the results to help transform your business.The book begins by taking you through the use case of a bike rental shop. You'll be shown how to correlate data, plot histograms, and analyze temporal features. As you progress, you’ll learn how to plot data for a hydraulic system using the Seaborn and Matplotlib libraries, and explore a variety of use cases that show you how to join and merge databases, prepare data for analysis, and handle imbalanced data.By the end of the book, you'll have learned different data analysis techniques, including hypothesis testing, correlation, and null-value imputation, and will have become a confident data analyst.
The Data Science Workshop. A New, Interactive Approach to Learning Data Science
Anthony So, Thomas V. Joseph, Robert Thas...
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.
Anthony So, Thomas V. Joseph, Robert Thas...
Where there’s data, there’s insight. With so much data being generated, there is immense scope to extract meaningful information that’ll boost business productivity and profitability. By learning to convert raw data into game-changing insights, you’ll open new career paths and opportunities.The Data Science Workshop begins by introducing different types of projects and showing you how to incorporate machine learning algorithms in them. You’ll learn to select a relevant metric and even assess the performance of your model. To tune the hyperparameters of an algorithm and improve its accuracy, you’ll get hands-on with approaches such as grid search and random search.Next, you’ll learn dimensionality reduction techniques to easily handle many variables at once, before exploring how to use model ensembling techniques and create new features to enhance model performance. In a bid to help you automatically create new features that improve your model, the book demonstrates how to use the automated feature engineering tool. You’ll also understand how to use the orchestration and scheduling workflow to deploy machine learning models in batch.By the end of this book, you’ll have the skills to start working on data science projects confidently. By the end of this book, you’ll have the skills to start working on data science projects confidently.