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Agnieszka Wolny-Hamkało
Agnieszka Wolny-Hamkało Nikon i Leica mo Dzisiaj stuknęła mu piątka. Dostał kolorową szczepionkę i korzeń o imieniu Mo. Miał taką gorączkę, że szczekał. Śniły mu się pająki uśpione w orzechach. Cień mu rósł, dostawał starych oczu, wyciągał palec pewny ... Agnieszka Wolny-Hamkało ur. 1979 Najważniejsze dzieła: Mocno poszukiwana (1999), Lonty (2001), Spamy miłosne (2007), Nikon i Leica (2010), Zaćmienie (2013), 41 utonięć (2015) Poetka, krytyczka literacka i publicystka. Współpracowała m.in. z Gazetą Wyborczą, Przekrojem, Przeglądem, Bluszczem i portalem Polskiego Radia. Nominowana do Nagrody Literackiej Gdynia, nagrody kulturalnej Gazety Wyborczej wARTo, nagrody mediów publicznych Cogito za tom Spamy miłosne. Laureatka konkursu im. Stowarzyszenia Pisarzy Polskich za tom Lonty. Autorka powieści 41 utonięć oraz Zaćmienie. Krytyczna Anna Kałuża porównywała jej wczesne wiersze do twórczości Marty Podgórnik, w późniejszych dostrzegała zaś tendencję do porządkowania świata i przekazu. Kupując książkę wspierasz fundację Nowoczesna Polska, która propaguje ideę wolnej kultury. Wolne Lektury to biblioteka internetowa, rozwijana pod patronatem Ministerstwa Edukacji Narodowej. W jej zbiorach znajduje się kilka tysięcy utworów, w tym wiele lektur szkolnych zalecanych do użytku przez MEN, które trafiły już do domeny publicznej. Wszystkie dzieła są odpowiednio opracowane - opatrzone przypisami oraz motywami.
Mobbing w pracy z perspektywy interakcyjnej. Proces stawania się ofiarą
Piotr Chomczyński
W książce zawarte zostały rezultaty badań jakościowych nad zjawiskiem mobbingu. Jest to pierwsza pozycja na rynku wydawniczym, w której zastosowano różne techniki badań jakościowych (wywiady narracyjne i pogłębione, ukryta obserwacja uczestnicząca, analiza dokumentów itd.) w celu dokonania diagnozy zjawiska stawania się ofiarą przemocy psychicznej w miejscu pracy. Ponadto w publikacji zostały omówione wyniki badań autorów i ośrodków polskich i zagranicznych. Jako perspektywę teoretyczną autor przyjął założenia symbolicznego interakcjonizmu, dzięki czemu udało mu się przedstawić rolę interakcji ofiary z agresorem oraz jej otoczeniem zawodowym i prywatnym. Publikacja skierowana jest zarówno do środowiska akademickiego, jak również praktyków zajmujących się problemem mobbingu. Ponadto będzie atrakcyjną pozycją wydawniczą dla wszystkich osób zainteresowanych tą problematyką.
Abhinav Mishra
Mobile App Reverse Engineering is a practical guide focused on helping cybersecurity professionals scale up their mobile security skills. With the IT world’s evolution in mobile operating systems, cybercriminals are increasingly focusing their efforts on mobile devices. This book enables you to keep up by discovering security issues through reverse engineering of mobile apps.This book starts with the basics of reverse engineering and teaches you how to set up an isolated virtual machine environment to perform reverse engineering. You’ll then learn about modern tools such as Ghidra and Radare2 to perform reverse engineering on mobile apps as well as understand how Android and iOS apps are developed. Next, you’ll explore different ways to reverse engineer some sample mobile apps developed for this book. As you advance, you’ll learn how reverse engineering can help in penetration testing of Android and iOS apps with the help of case studies. The concluding chapters will show you how to automate the process of reverse engineering and analyzing binaries to find low-hanging security issues.By the end of this reverse engineering book, you’ll have developed the skills you need to be able to reverse engineer Android and iOS apps and streamline the reverse engineering process with confidence.
Mobile Application Development: JavaScript Frameworks. Click here to enter text
Sani Yusuf, Tom Bray, Hazem Saleh, Ethan...
A great mobile app is rapidly becoming crucial for a huge range of businesses. With a great app, your customers or your readers don’t come to you – you go with them, just a few clicks and swipes away. This Learning Path shows you how to build awesome mobile apps with some of the best tools currently being used by some of the smartest developers in the industry. Taking you through JavaScript impressive development ecosystem – from jQuery Mobile to React, through to Ionic – we’ll show you how to put your skills into practice so you can build your next mobile apps with confidence and style. In this Learning Path, from jQuery to React, to Ionic, we’ll cover everything you need to start In the first module you’ll learn how to get stuck into Apache Cordova and find out how to use it as the key platform for developing your mobile app. It offers an efficient way to develop hybrid apps, which means you won’t have to connect to platform specific APIs or use their UI framework, and can instead harness your JavaScript web development skills. Make sure you have your HTML, CSS and jQuery skills at the ready.In Module 2 we’ll show you how to take advantage of React Native. It has a reputation for having a steep learning curve, but we’ll make it easy for you, making sure you make full use of your existing knowledge and getting you up and running with a sample application. You’ll also learn how to create components, how to create multiple screens, as well as using native UI components and accessing native APIs.In the third and final module you’ll get started with Ionic. With three practical projects you can build yourself, we’ve made sure that you’ll be learning by doing – which means you’ll not only develop new skills much more quickly, but you’ll have produced something tangible at the end of it!This Learning Path combines some of the best that Packt has to offer in one complete, curated package. It includes content from the following Packt products:?JavaScript Mobile Application Development by Hazem Saleh?Getting Started with React Native by Ethan Holmes and Tom Bray?Ionic Framework By Example by Sani Yusuf
Vijay Kumar Velu
Mobile security has come a long way over the last few years. It has transitioned from should it be done? to it must be done!Alongside the growing number of devises and applications, there is also a growth in the volume of Personally identifiable information (PII), Financial Data, and much more. This data needs to be secured. This is why Pen-testing is so important to modern application developers. You need to know how to secure user data, and find vulnerabilities and loopholes in your application that might lead to security breaches.This book gives you the necessary skills to security test your mobile applications as a beginner, developer, or security practitioner. You'll start by discovering the internal components of an Android and an iOS application. Moving ahead, you'll understand the inter-process working of these applications. Then you'll set up a test environment for this application using various tools to identify the loopholes and vulnerabilities in the structure of the applications. Finally, after collecting all information about these security loop holes, we'll start securing our applications from these threats.
Karthikeyan NG, Arun Padmanabhan, Matt R. Cole
We’re witnessing a revolution in Artificial Intelligence, thanks to breakthroughs in deep learning. Mobile Artificial Intelligence Projects empowers you to take part in this revolution by applying Artificial Intelligence (AI) techniques to design applications for natural language processing (NLP), robotics, and computer vision.This book teaches you to harness the power of AI in mobile applications along with learning the core functions of NLP, neural networks, deep learning, and mobile vision. It features a range of projects, covering tasks such as real-estate price prediction, recognizing hand-written digits, predicting car damage, and sentiment analysis. You will learn to utilize NLP and machine learning algorithms to make applications more predictive, proactive, and capable of making autonomous decisions with less human input. In the concluding chapters, you will work with popular libraries, such as TensorFlow Lite, CoreML, and PyTorch across Android and iOS platforms.By the end of this book, you will have developed exciting and more intuitive mobile applications that deliver a customized and more personalized experience to users.
Anubhav Singh, Rimjhim Bhadani
Deep learning is rapidly becoming the most popular topic in the mobile app industry. This book introduces trending deep learning concepts and their use cases with an industrial and application-focused approach. You will cover a range of projects covering tasks such as mobile vision, facial recognition, smart artificial intelligence assistant, augmented reality, and more.With the help of eight projects, you will learn how to integrate deep learning processes into mobile platforms, iOS, and Android. This will help you to transform deep learning features into robust mobile apps efficiently. You’ll get hands-on experience of selecting the right deep learning architectures and optimizing mobile deep learning models while following an application oriented-approach to deep learning on native mobile apps. We will later cover various pre-trained and custom-built deep learning model-based APIs such as machine learning (ML) Kit through Firebase. Further on, the book will take you through examples of creating custom deep learning models with TensorFlow Lite. Each project will demonstrate how to integrate deep learning libraries into your mobile apps, right from preparing the model through to deployment.By the end of this book, you’ll have mastered the skills to build and deploy deep learning mobile applications on both iOS and Android.
Can Bilgin
Are you a .NET developer who wishes to develop mobile solutions without delving into the complexities of a mobile development platform? If so, this book is a perfect solution to help you build professional mobile apps without leaving the .NET ecosystem.Mobile Development with .NET will show you how to design, architect, and develop robust mobile applications for multiple platforms, including iOS, Android, and UWP using Xamarin, .NET Core, and Azure.With the help of real-world scenarios, you'll explore different phases of application development using Xamarin, from environment setup, design, and architecture to publishing. Throughout the book, you'll learn how to develop mobile apps using Xamarin and .NET Standard. You'll even be able to implement a web-based backend composed of microservices with .NET Core using various Azure services including, but not limited to, Azure Active Directory, Azure Functions. As you advance, you'll create data stores using popular database technologies such as Cosmos DB and data models such as the relational model and NoSQL.By the end of this mobile application development book, you'll be able to create cross-platform mobile applications that can be deployed as cloud-based PaaS and SaaS.