Swift High Performance. Leverage Swift and enhance your code to take your applications to the next level

Kostiantyn Koval

Swift is one of the most popular and powerful programming languages for building iOS and Mac OS applications, and continues to evolve with new features and capabilities. Swift is considered a replacement to Objective-C and has performance advantages over Objective-C and Python. Swift adopts safe programming patterns and adds modern features to make programming easier, more flexible, and more fun.Develop Swift and discover best practices that allow you to build solid applications and optimize their performance.First, a few of performance characteristics of Swift will be explained. You will implement new tools available in Swift, including Playgrounds and REPL. These will improve your code efficiency, enable you to analyse Swift code, and enhance performance. Next, the importance of building solid applications using multithreading concurrency and multi-core device architecture is covered, before moving on to best practices and techniques that you should utilize when building high performance applications, such as concurrency and lazy-loading. Finally, you will explore the underlying structure of Swift further, and learn how to disassemble and compile Swift code.

Implementing VMware vCenter Server. This book starts with the basics then leads you by the hand through a complete Vmware vCenter Server implementation course. Designed to help you administer and manage your environment on a day to day basis

Konstantin Kuminsky, Kostantin Kuminsky

Mastering Linux Security and Hardening. A practical guide to protecting your Linux system from cyber attacks - Third Edition

Donald A. Tevault

The third edition of Mastering Linux Security and Hardening is an updated, comprehensive introduction to implementing the latest Linux security measures, using the latest versions of Ubuntu and AlmaLinux.In this new edition, you will learn how to set up a practice lab, create user accounts with appropriate privilege levels, protect sensitive data with permissions settings and encryption, and configure a firewall with the newest firewall technologies. You’ll also explore how to use sudo to set up administrative accounts with only the privileges required to do a specific job, and you’ll get a peek at the new sudo features that have been added over the past couple of years. You’ll also see updated information on how to set up a local certificate authority for both Ubuntu and AlmaLinux, as well as how to automate system auditing. Other important skills that you’ll learn include how to automatically harden systems with OpenSCAP, audit systems with auditd, harden the Linux kernel configuration, protect your systems from malware, and perform vulnerability scans of your systems. As a bonus, you’ll see how to use Security Onion to set up an Intrusion Detection System.By the end of this new edition, you will confidently be able to set up a Linux server that will be secure and harder for malicious actors to compromise.

Mastering OpenLDAP: Configuring, Securing and Integrating Directory Services. If you want to go beyond the fundamentals of OpenLDAP, this is the guide you need. Starting with the basics of installation, it progresses to sophisticated aspects of the server for web applications and services

This book is the ideal introduction to using OpenLDAP for Application Developers and will also benefit System Administrators running OpenLDAP. It prepares the reader to build a directory using OpenLDAP, and then employ this directory in the context of the network, taking a practical approach that emphasizes how to get things done. On occasion, it delves into theoretical aspects of LDAP, but only where understanding the theory helps to answer practical questions. The reader requires no knowledge of OpenLDAP, but even readers already familiar with the technology will find new things and techniques. This book is organized into three major sections: the first section covers the basics of LDAP directory services and the OpenLDAP server; the second focuses on building directory services with OpenLDAP; in the third section of the book, we look at how OpenLDAP is integrated with other applications and services on the network. This book not only demystifies OpenLDAP, but gives System Administrators and Application Developers a solid understanding of how to make use of OpenLDAP's directory services.The OpenLDAP directory server is a mature product that has been around (in one form or another) since 1995. It is an open-source server that provides network clients with directory services. All major Linux distributions include the OpenLDAP server, and many major applications, both open-source and proprietary, are directory aware and can make use of the services provided by OpenLDAP.The OpenLDAP directory server can be used to store organizational information in a centralized location, and make this information available to authorized applications. Client applications connect to OpenLDAP using the Lightweight Directory Access Protocol (LDAP) and can then search the directory and (if they have appropriate access) modify and manipulate records. LDAP servers are most frequently used to provide network-based authentication services for users; but there are many other uses for an LDAP server, including using the directory as an address book, a DNS database, an organizational tool, or even as a network object store for applications.

Python: Real-World Data Science. Real-World Data Science

Fabrizio Romano, Dusty Phillips, Phuong Vo.T.H, Martin Czygan, ...

The Python: Real-World Data Science course will take you on a journey to become an efficient data science practitioner by thoroughly understanding the key concepts of Python. This learning path is divided into four modules and each module are a mini course in their own right, and as you complete each one, you’ll have gained key skills and be ready for the material in the next module. The course begins with getting your Python fundamentals nailed down. After getting familiar with Python core concepts, it’s time that you dive into the field of data science. In the second module, you'll learn how to perform data analysis using Python in a practical and example-driven way. The third module will teach you how to design and develop data mining applications using a variety of datasets, starting with basic classification and affinity analysis to more complex data types including text, images, and graphs. Machine learning and predictive analytics have become the most important approaches to uncover data gold mines. In the final module, we'll discuss the necessary details regarding machine learning concepts, offering intuitive yet informative explanations on how machine learning algorithms work, how to use them, and most importantly, how to avoid the common pitfalls.

C# 7 and .NET Core Cookbook. Serverless programming, Microservices and more - Second Edition

Dirk Strauss

C# has recently been open-sourced and C# 7 comes with a host of new features for building powerful, cross-platform applications. This book will be your solution to some common programming problems that you come across with C# and will also help you get started with .NET Core 1.1. Through a recipe-based approach, this book will help you overcome common programming challenges and get your applications ready to face the modern world. We start by running you through new features in C# 7, such as tuples, pattern matching, and so on, giving you hands-on experience with them. Moving forward, you will work with generics and the OOP features in C#. You will then move on to more advanced topics, such as reactive extensions, Regex, code analyzers, and asynchronous programming. This book will also cover new, cross-platform .NET Core 1.1 features and teach you how to utilize .NET Core on macOS. Then, we will explore microservices as well as serverless computing and how these benefit modern developers. Finally, you will learn what you can do with Visual Studio 2017 to put mobile application development across multiple platforms within the reach of any developer.

Mastering ROS for Robotics Programming. Design, build, and simulate complex robots using the Robot Operating System

Lentin Joseph

The area of robotics is gaining huge momentum among corporate people, researchers, hobbyists, and students. The major challenge in robotics is its controlling software. The Robot Operating System (ROS) is a modular software platform to develop generic robotic applications.This book discusses the advanced concepts in robotics and how to program using ROS. It starts with deep overview of the ROS framework, which will give you a clear idea of how ROS really works. During the course of the book, you will learn how to build models of complex robots, and simulate and interface the robot using the ROS MoveIt motion planning library and ROS navigation stacks. After discussing robot manipulation and navigation in robots, you will get to grips with the interfacing I/O boards, sensors, and actuators of ROS. One of the essential ingredients of robots are vision sensors, and an entire chapter is dedicated to the vision sensor, its interfacing in ROS, and its programming. You will discuss the hardware interfacing and simulation of complex robot to ROS and ROS Industrial (Package used for interfacing industrial robots).Finally, you will get to know the best practices to follow when programming using ROS.

Natural Language Understanding with Python. Combine natural language technology, deep learning, and large language models to create human-like language comprehension in computer systems

Deborah A. Dahl

Natural Language Understanding facilitates the organization and structuring of language allowing computer systems to effectively process textual information for various practical applications. Natural Language Understanding with Python will help you explore practical techniques for harnessing NLU to create diverse applications. with step-by-step explanations of essential concepts and practical examples, you’ll begin by learning about NLU and its applications. You’ll then explore a wide range of current NLU techniques and their most appropriate use-case. In the process, you’ll be introduced to the most useful Python NLU libraries. Not only will you learn the basics of NLU, you’ll also discover practical issues such as acquiring data, evaluating systems, and deploying NLU applications along with their solutions. The book is a comprehensive guide that’ll help you explore techniques and resources that can be used for different applications in the future.By the end of this book, you’ll be well-versed with the concepts of natural language understanding, deep learning, and large language models (LLMs) for building various AI-based applications.