Android Security Cookbook

Android Security Cookbook
Android Security Cookbook
by Keith Makan, Scott Alexander-Bown

Android Security Cookbook discusses many common vulnerabilities and security related shortcomings in Android applications and operating systems. The book breaks down and enumerates the processes used to exploit and remediate these vulnerabilities in the form of detailed recipes and walkthroughs.

The book also teaches readers to use an Android Security Assessment Framework called Drozer and how to develop plugins to customize the framework.

Other topics covered include how to reverse-engineer Android applications to find common vulnerabilities, and how to find common memory corruption vulnerabilities on ARM devices. In terms of application protection this book will show various hardening techniques to protect application components, the data stored, secure networking. In summary, Android Security Cookbook provides a practical analysis into many areas of Android application and operating system security and gives the

What you will learn from this book

  • Set up the Android development tools and frameworks
  • Engage in Application security concepts
  • Use the Drozer Android Security Assessment Framework
  • Customize and develop your own plugins for the Drozer Framework
  • Exploit, enumerate, and analyze common application level exploits
  • Protect applications from common vulnerabilities and exploits
  • Reverse-engineer applications for common code level vulnerabilities
  • Secure application networking, SSL/TLS
  • Encryption to protect application data


“Android Security Cookbook’ breaks down and enumerates the processes used to exploit and remediate Android app security vulnerabilities in the form of detailed recipes and walkthroughs.

Who this book is written for

“Android Security Cookbook” is aimed at anyone who is curious about Android app security and wants to be able to take the necessary practical measures to protect themselves; this means that Android application developers, security researchers and analysts, penetration testers, and generally any CIO, CTO, or IT managers facing the impeding onslaught of mobile devices in the business environment will benefit from reading this book.

Python Data Visualization Cookbook

Python Data Visualization Cookbook
Python Data Visualization Cookbook
by Igor Milovanović

Today, data visualization is a hot topic as a direct result of the vast amount of data created every second. Transforming that data into information is a complex task for data visualization professionals, who, at the same time, try to understand the data and objectively transfer that understanding to others. This book is a set of practical recipes that strive to help the reader get a firm grasp of the area of data visualization using Python and its popular visualization and data libraries.

Python Data Visualization Cookbook will progress the reader from the point of installing and setting up a Python environment for data manipulation and visualization all the way to 3D animations using Python libraries. Readers will benefit from over 60 precise and reproducible recipes that guide the reader towards a better understanding of data concepts and the building blocks for subsequent and sometimes more advanced concepts.

Python Data Visualization Cookbook starts by showing you how to set up matplotlib and the related libraries that are required for most parts of the book, before moving on to discuss some of the lesser-used diagrams and charts such as Gantt Charts or Sankey diagrams. During the book, we go from simple plots and charts to more advanced ones, thoroughly explaining why we used them and how not to use them. As we go through the book, we will also discuss 3D diagrams. We will peep into animations just to show you what it takes to go into that area. Maps are irreplaceable for displaying geo-spatial data, so we also show you how to build them. In the last chapter, we show you how to incorporate matplotlib into different environments, such as a writing system, LaTeX, or how to create Gantt charts using Python.

This book will help those who already know how to program in Python to explore a new field – one of data visualization. As this book is all about recipes that explain how to do something, code samples are abundant, and they are followed by visual diagrams and charts to help you understand the logic and compare your own results with what is explained in the book.

What you will learn from this book

  • Install and use iPython
  • Use Python’s virtual environments
  • Install and customize NumPy and matplotlib
  • Draw common and advanced plots
  • Visualize data using maps
  • Create 3D animated data visualizations
  • Import data from various formats
  • Export data from various formats


This book is written in a Cookbook style targeted towards an advanced audience. It covers the advanced topics of data visualization in Python.

Who this book is for

Python Data Visualization Cookbook is for developers that already know about Python programming in general. If you have heard about data visualization but you don’t know where to start, then this book will guide you from the start and help you understand data, data formats, data visualization, and how to use Python to visualize data.

You will need to know some general programming concepts, and any kind of programming experience will be helpful, but the code in this book is explained almost line by line. You don’t need maths for this book, every concept that is introduced is thoroughly explained in plain English, and references are available for further interest in the topic.

Google Maps JavaScript API Cookbook

Google Maps JavaScript API Cookbook
Google Maps JavaScript API Cookbook
by Alper Dincer, Balkan Uraz

Day by day, the use of location data is becoming more and more popular, and Google is one of the main game changers in this area. The Google Maps JavaScript API is one of the most functional and robust mapping APIs used among Geo developers. With Google Maps, you can build location-based apps, maps for mobile apps, visualize geospatial data, and customize your own maps.

Google Maps API Cookbook is a practical, hands-on guide that provides you with a number of clear, step-by-step recipes that will help you to unleash the capabilities of the Google Maps JavaScript API in conjunction with open source or commercial GIS servers and services through a number of practical examples of real world scenarios.

This book begins by covering the essentials of including simple maps for Web and mobile, adding vector and raster layers, styling your own base maps, creating your own controls and responding to events, and including your own events.

You will learn how to integrate open source or commercial GIS servers and services including ArcGIS Server, GeoServer, CartoDB, Fusion Tables, and Google Maps Engine with the Google Maps JavaScript API. You will also extend the Google Maps JavaScript API to push its capabilities to the limit with additional libraries and services including geometry, AdSense, geocoding, directions, and StreetView.

This book covers everything you need to know about creating a web map or GIS applications using the Google Maps JavaScript API on multiple platforms.

What you will learn from this book

  • Create simple maps and display them on mobile devices
  • Style your own base maps
  • Add your own tile maps as base maps or overlays
  • Show vector layers on base maps in various types such as points, polylines or polygons
  • Parse various vector formats such as KML, GeoRSS, GeoJSON, WKT, and so on
  • Create a custom UI and customize your own ways to control it
  • Respond to various events including mobile gestures
  • Add additional libraries to extend the capabilities of the API
  • Work with Google Services for geocoding, directions, StreetView, and so on
  • Integrate open source or commercial GIS servers or services


Google Maps API Cookbook follows a fast-paced, high-level, structured cookbook approach, with minimal theory and an abundance of practical, real-world examples explained in a thorough yet concise manner to help you learn quickly and efficiently.

Who this book is written for

Google Maps API Cookbook is for developers who wish to learn how to do anything from adding a simple embedded map to a website to developing complex GIS applications with the Google Maps JavaScript API. It is targeted at JavaScript developers who know how to get by but who are also seeking the immediacy of recipe-based advice.

Mathematica Cookbook

Mathematica cookbook
Sal Mangano
“O’Reilly Media, Inc.”

If you were stranded on a desert island with only your laptop (and presumably a large solar panel), what software would you want to have with you? For me the answer definitely includes the latest version of Wolfram Mathematica. Whether you are a scientist, engineer, or mathematician, a Wall Street quant, a statistician or programmer, or even an artist or musician, you will be a better one if you have this tool at your disposal. Of course, having a tool and knowing how to use it well are quite different things. That is why I wrote the Mathematica Cookbook.
I am abig fan of O’Reilly cookbooks, as these books are designed to help you solve real-world problems. Mathematica is an ideal candidate for a cookbook because it is so vast, deep, and full of traps for the novice. I was ecstatic to learn that O’Reilly was looking to publish a Mathematica cookbook and even more excited when I was chosen to be its author. I have been a use r of Mathematica since version 3.0. Although that was over 13 years ago, I still remember the frustration of trying to solve problems in this system. I don’t mean this in a derogatory way. The frustration a newbie experiences when trying to learn Mathematica comes from the knowledge that you are sitting in front of a highly advanced computational platform that eventually will magnify your productivity tenfold—if you can only wrap your mind around its unfamiliar idioms. If you are a new (or even not-so-new) user of Mathematica today, you
are simultaneously in a better and a much worse position than I was with version 3.0.
You are in a better position because Mathematica 7.0 is vastly more powerful than 3.0 was back then. Not only has the number of available functions doubled, but Mathematica has fundamental new capabilities including dynamic interactivity, curated data sources, parallel processing, image processing, and much more. You are in a worse position because there is much more to learn! As Mathematica grows, it remains largely unchanged in its core principles. This book is designed to help you master those core principles by presenting Mathematica in the context of real-world problems. However, my goal is not just to show you how to solve problems in Mathematica, but to show you how to do so in a way that plays to Mathematica’s strengths. This means there is an emphasis on symbolic, functional, and pattern-based styles of programming. Mathematica is a multi-paradigm programming language; you can easily write code in it that a Fortran or C programmer would have little trouble following. However, the procedural style that this entails is not likely to give you good performance. More importantly, it will often cause you to write more code than necessary and spend more time adapting that code to future problems. Stephen Wolfram has said that a correct Mathematica program is often a short Mathematica program. There is much truth to this. The truth comes from the idea that good Mathematica programs leverage the capabilities of the vast built-in library of both general-purpose and highly specialized functions. Programming in Mathematica is a search for the right combination of primitives. My hope is that this cookbook will play a role as your guide.

Yii Application Development Cookbook

Yii Application Development CookbookThe Yii framework is a rapidly growing PHP5 MVC framework often referred to as Rails for PHP. It has already become a solid base for many exciting web applications such as and can be a good base for your developments, too. This book will help you to learn Yii quickly and in more depth for use in for your developments. Yii Application Development Cookbook will show you how to use Yii efficiently. You will learn about taking shortcuts using core features, creating your own reusable code base, using test driven development, and many more topics that will give you a lot of experience in a moderate amount of time.

jQuery Cookbook

jQuery CookbookGetting started with the jQuery library is easy, but it can take years to fully realize its breadth and depth; jQuery Cookbook shortens the learning curve considerably. You’ll learn patterns and practices from 19 leading developers who use jQuery for everything from integrating simple components into websites and applications to developing complex, high-performance user interfaces. The recipes start with the basics and then move into practical use cases with tested solutions to common web development hurdles.

VMware Cookbook

VMWare CookbookThis book provides a look into real-world use of VMware ESX and ESXi, with step-by-step solutions for problems that occur in a wide range of environments. Written by experts with experience using VMware in a production environment, VMware Cookbook shares tips and tricks earned through trial and error, and supplies the background information you need to apply them.