Inne

Jira Quick Start Guide. Manage your projects efficiently using the all-new Jira

Ravi Sagar

Jira is an issue tracker and project management system. With their latest release, the Jira team has now expanded their user base to agile teams as well as business teams. This book provides a comprehensive explanation covering all major components of Jira, including Jira Software, Jira Core, and Jira Service Desk.This book starts with an introduction to Jira's unique features and how it can be used as an issue-tracking tool. It will then teach you about how a new project is created by a Jira administrator, what responsibilities there are, and using correct and relevant schemes in your project. You will then learn how to configure project workflows and fields for project screens.You will understand the various permissions used in projects and the importance of project roles in Jira. Then, the book talks about the concepts of versions acting as milestones and using components when handling issues in your projects. It will then focus on analysing data using built-in reports and creating dashboards in Jira. At the end, it will discuss various best practices for users as well as project managers or project administrators.

Julia High Performance. Optimizations, distributed computing, multithreading, and GPU programming with Julia 1.0 and beyond - Second Edition

Avik Sengupta

Julia is a high-level, high-performance dynamic programming language for numerical computing. If you want to understand how to avoid bottlenecks and design your programs for the highest possible performance, then this book is for you. The book starts with how Julia uses type information to achieve its performance goals, and how to use multiple dispatches to help the compiler emit high-performance machine code. After that, you will learn how to analyze Julia programs and identify issues with time and memory consumption. We teach you how to use Julia's typing facilities accurately to write high-performance code and describe how the Julia compiler uses type information to create fast machine code. Moving ahead, you'll master design constraints and learn how to use the power of the GPU in your Julia code and compile Julia code directly to the GPU. Then, you'll learn how tasks and asynchronous IO help you create responsive programs and how to use shared memory multithreading in Julia. Toward the end, you will get a flavor of Julia's distributed computing capabilities and how to run Julia programs on a large distributed cluster.By the end of this book, you will have the ability to build large-scale, high-performance Julia applications, design systems with a focus on speed, and improve the performance of existing programs.

Julia Programming Projects. Learn Julia 1.x by building apps for data analysis, visualization, machine learning, and the web

Adrian Salceanu

Julia is a new programming language that offers a unique combination of performance and productivity. Its powerful features, friendly syntax, and speed are attracting a growing number of adopters from Python, R, and Matlab, effectively raising the bar for modern general and scientific computing.After six years in the making, Julia has reached version 1.0. Now is the perfect time to learn it, due to its large-scale adoption across a wide range of domains, including fintech, biotech, education, and AI.Beginning with an introduction to the language, Julia Programming Projects goes on to illustrate how to analyze the Iris dataset using DataFrames. You will explore functions and the type system, methods, and multiple dispatch while building a web scraper and a web app. Next, you'll delve into machine learning, where you'll build a books recommender system. You will also see how to apply unsupervised machine learning to perform clustering on the San Francisco business database. After metaprogramming, the final chapters will discuss dates and time, time series analysis, visualization, and forecasting.We'll close with package development, documenting, testing and benchmarking.By the end of the book, you will have gained the practical knowledge to build real-world applications in Julia.

Kali Linux Wireless Penetration Testing Beginner's Guide. Master wireless testing techniques to survey and attack wireless networks with Kali Linux, including the KRACK attack - Third Edition

Daniel W. Dieterle, Cameron Buchanan, Vivek Ramachandran

As wireless networks become ubiquitous in our lives, wireless penetration testing has become a key skill in the repertoire of the professional penetration tester. This has been highlighted again recently with the discovery of the KRACK attack which enables attackers to potentially break into Wi-Fi networks encrypted with WPA2. The Kali Linux security distribution comes with a myriad of tools used for networking attacks and detecting security loopholes.Kali Linux Wireless Penetration Testing Beginner's Guide, Third Edition has been updated to Kali Linux 2017.3 with the latest methodologies, including full coverage of the KRACK attack and how to defend against it. The book presents wireless pentesting from the ground up, introducing all elements of penetration testing with each new technology. You'll learn various wireless testing methodologies by example, from the basics of wireless routing and encryption through to detailed coverage of hacking methods and attacks such as the Hirte and Caffe Latte.

Kivy: Interactive Applications in Python. For Python developers this is the clearest guide to the interactive world of Kivi, ideal for meeting modern expectations of tablets and smartphones. From building a UI to controlling complex multi-touch events, it's all here

Roberto Ulloa

Mobiles and tablets have brought with them a dramatic change in the utility of applications. Compatibility has become essential, and this has increased the kind of interaction that users expect: gestures, multi-touches, animations, and magic pens. Kivy is an open source Python solution that covers these market needs with an easy-to-learn and rapid development approach. Kivy is growing fast and gaining attention as an alternative to the established developing platforms.Kivy: Interactive Applications in Python quickly introduces you to the Kivy development methodology. You will learn some examples of how to use many of the Kivy components, as well as understand how to integrate and combine them into big projects. This book serves as a reference guide and is organized in such a way that once finished, you will have already completed your first project.You will start by learning the Kivy Language for building User Interfaces (UI) and vector figures. We then proceed to the uses of Kivy events and properties to glue the UI with the application logic.You then go on to build an entire User Interface (UI) starting from a hand-made sketch. Furthermore, you will go on to understand how to use the canvas and drawing instructions to create different types of geometrical figures. Finally, you will be introduced to a big set of interactive and smooth features: transformations (scale, rotate, and translate), gestures, animations, scheduling tasks, and multi-touch elements.Kivy: Interactive Applications in Python expands your knowledge by introducing various components that improve the User Experience (UX). Towards the end of the book, you will be confident to utilize Kivy components and strategies to start any application or game you have in mind.

Kotlin for Enterprise Applications using Java EE. Develop, test, and troubleshoot enterprise applications and microservices with Kotlin and Java EE

Raghavendra Rao K

Kotlin was developed with a view to solving programmers’ difficulties and operational challenges. This book guides you in making Kotlin and Java EE work in unison to build enterprise-grade applications. Together, they can be used to create services of any size with just a few lines of code and let you focus on the business logic.Kotlin for Enterprise Applications using Java EE begins with a brief tour of Kotlin and helps you understand what makes it a popular and reasonable choice of programming language for application development, followed by its incorporation in the Java EE platform. We will then learn how to build applications using the Java Persistence API (JPA) and Enterprise JavaBeans (EJB), as well as develop RESTful web services and MicroServices. As we work our way through the chapters, we’ll use various performance improvement and monitoring tools for your application and see how they optimize real-world applications. At each step along the way, we will see how easy it is to develop enterprise applications in Kotlin. By the end of this book, we will have learned design patterns and how to implement them using Kotlin.

Krótka historia informatyki

Ryszard Tadeusiewicz

Czy wiesz, że maszyny liczące znano już w starożytności, a pierwszy program komputerowy napisała córka Byrona Ada Lovelace? Mark I - komputer pierwszej generacji powstały w 1944 roku - miał 17 metrów długości, 2 metry wysokości i metr szerokości. Pierwszym polskim elektronicznym komputerem był XYZ, zbudowany w 1958 roku. Czy nigdy nie intrygowało cię, jak to wszystko się zaczęło? W dziejach ludzkości nie było innego procesu, który by w tak krótkim czasie w tak ogromnym stopniu przeobraził wszystkie obszary aktywności zawodowej i życia codziennego całych społeczności i pojedynczych ludzi! Jeszcze w połowie XX wieku na świecie było tylko kilka komputerów... A teraz? Ten ogromny postęp był możliwy dzięki pracy konkretnych ludzi, których nazwiska i dokonania warto poznać. Dowiedz się, jak Apple zrewolucjonizował rynek, jak rozwijały się układy scalone, jaką moc obliczeniową mają superkomputery i czemu służyły pierwsze sieci komputerowe. Oto Krótka historia informatyki! Ryszard Tadeusiewicz - profesor i były trzykrotny rektor AGH oraz prezes Krakowskiego Oddziału PAN. Członek PAU, Europejskiej Akademii Nauk oraz Akademii Inżynierskiej w Polsce. Wiceprezes Polskiego Stowarzyszenia Sztucznej Inteligencji i szeregu innych towarzystw naukowych. Członek honorowy Polskiego Towarzystwa Informatycznego, wyróżniony medalem 70-lecia polskiej informatyki za zasługi dla jej rozwoju. Doktor honoris causa 12 uczelni krajowych i zagranicznych. Pełne dane na stronie www.Tadeusiewicz.pl.

Kubernetes Design Patterns and Extensions. Enhance your container-cluster management skills and efficiently develop and deploy applications

Onur Yilmaz

Before plunging into how Kubernetes works, this book introduces you to the world of container orchestration and describes the recent changes in application development. You'll understand problems that Kubernetes solves and get to grips with using Kubernetes resources to deploy applications. In addition to this, you'll learn to apply the security model of Kubernetes clusters.Kubernetes Design Patterns and Extensions describes how services running in Kubernetes can leverage the platform's security features. Once you've grasped all this, you'll explore how to troubleshoot Kubernetes clusters and debug Kubernetes applications. You also discover how to analyze the networking model and its alternatives in Kubernetes, and apply best practices with design patterns.By the end of this book, you'll have studied all about using the power of Kubernetes for managing your containers.