Build Applications with Meteor. Isomorphic JavaScript web development

Dobrin Ganev

This book starts with the basic installation and overview of the main components in Meteor. You’ll get hands-on multiple versatile applications covering a wide range of topics from adding a front-end views with the hottest rendering technology React to implementing a microservices oriented architecture.All the code is written with ES6/7 which is the latest significantly improved JavaScript language. We’ll also look at real-time data streaming, server to server data exchange, responsive styles on the front-end, full-text search functionality, and integration of many third-party libraries and APIs using npm.By the end of the book, you’ll have the skills to quickly prototype and even launch your next app idea in a matter of days.

TensorFlow 2.0 Quick Start Guide. Get up to speed with the newly introduced features of TensorFlow 2.0

Tony Holdroyd

TensorFlow is one of the most popular machine learning frameworks in Python. With this book, you will improve your knowledge of some of the latest TensorFlow features and will be able to perform supervised and unsupervised machine learning and also train neural networks.After giving you an overview of what's new in TensorFlow 2.0 Alpha, the book moves on to setting up your machine learning environment using the TensorFlow library. You will perform popular supervised machine learning tasks using techniques such as linear regression, logistic regression, and clustering. You will get familiar with unsupervised learning for autoencoder applications. The book will also show you how to train effective neural networks using straightforward examples in a variety of different domains.By the end of the book, you will have been exposed to a large variety of machine learning and neural network TensorFlow techniques.

Hands-On Cryptography with Python. Leverage the power of Python to encrypt and decrypt data

Samuel Bowne

Cryptography is essential for protecting sensitive information, but it is often performed inadequately or incorrectly. Hands-On Cryptography with Python starts by showing you how to encrypt and evaluate your data. The book will then walk you through various data encryption methods,such as obfuscation, hashing, and strong encryption, and will show how you can attack cryptographic systems. You will learn how to create hashes, crack them, and will understand why they are so different from each other. In the concluding chapters, you will use three NIST-recommended systems: the Advanced Encryption Standard (AES), the Secure Hash Algorithm (SHA), and the Rivest-Shamir-Adleman (RSA). By the end of this book, you will be able to deal with common errors in encryption.

Learning Android Forensics. Analyze Android devices with the latest forensic tools and techniques - Second Edition

Oleg Skulkin, Donnie Tindall, Rohit Tamma

Many forensic examiners rely on commercial, push-button tools to retrieve and analyze data, even though there is no tool that does either of these jobs perfectly.Learning Android Forensics will introduce you to the most up-to-date Android platform and its architecture, and provide a high-level overview of what Android forensics entails. You will understand how data is stored on Android devices and how to set up a digital forensic examination environment. As you make your way through the chapters, you will work through various physical and logical techniques to extract data from devices in order to obtain forensic evidence. You will also learn how to recover deleted data and forensically analyze application data with the help of various open source and commercial tools. In the concluding chapters, you will explore malware analysis so that you’ll be able to investigate cybersecurity incidents involving Android malware.By the end of this book, you will have a complete understanding of the Android forensic process, you will have explored open source and commercial forensic tools, and will have basic skills of Android malware identification and analysis.

Getting Started with Angular. Click here to enter text. - Second Edition

Minko Gechev

Want to build quick and robust web applications with Angular? This book is the quickest way to get to grips with Angular and take advantage of all its new features.

Designing AWS Environments. Architect large-scale cloud infrastructures with AWS

Mitesh Soni, Wayde Gilchrist

Amazon Web Services (AWS) provides trusted,cloud-based solutions to help you meet your business needs. Running your solutions in the AWS Cloud can help you get your applications up and running faster while providing the security to meet your compliance requirements. This book begins by familiarizing you with the key capabilities to architect and host applications, websites, and services on AWS. We explain the available options for AWS free tier with virtual instances and demonstrate how you can launch and connect them. Using practical examples, you’ll be able to design and deploy networking and hosting solutions for large deployments. Finally, the book focuses on security and important elements of scalability and high availability using AWS VPC, Elastic Load Balancing, and Auto scaling. By the end of this book, you will have handson experience of working with AWS instances,VPC, Elastic Load Balancing, and Auto scalingrelated tasks on Amazon Web Services.

Blender 3D Printing by Example. Learn to use Blender's modeling tools for 3D printing by creating 4 projects

Vicky Somma

Blender is an open-source modeling and animation program popular in the 3D printing community. 3D printing brings along different considerations than animation and virtual reality.This book walks you through four projects to learn using Blender for 3D Printing, giving you information that you need to know to create high-quality 3D printed objects.The book starts with two jewelry projects-- a pendant of a silhouette and a bracelet with custom text. We then explore architectural modeling as you learn to makes a figurine from photos of a home. The final project, a human hand, illustrates how Blender can be used for organic models and how colors can be added to the design.You will learn modeling for 3D printing with the help of these projects. Whether you plan to print at-home or use a service bureau, you’ll start by understanding design requirements. The book begins with simple projects to get you started with 3D modeling basics and the tools available in Blender. As the book progresses, you’ll get exposed to more robust mesh modeling techniques, modifiers, and Blender shortcuts. By the time you reach your final project, you’ll be ready for organic modeling and learning how to add colors. In the final section, you’ll learn how to check for and correct common modeling issues to ensure the 3D printer can make your idea a reality!

Machine Learning Solutions. Expert techniques to tackle complex machine learning problems using Python

Jalaj Thanaki

Machine learning (ML) helps you find hidden insights from your data without the need for explicit programming. This book is your key to solving any kind of ML problem you might come across in your job.You’ll encounter a set of simple to complex problems while building ML models, and you'll not only resolve these problems, but you’ll also learn how to build projects based on each problem, with a practical approach and easy-to-follow examples. The book includes a wide range of applications: from analytics and NLP, to computer vision domains. Some of the applications you will be working on include stock price prediction, a recommendation engine, building a chat-bot, a facial expression recognition system, and many more. The problem examples we cover include identifying the right algorithm for your dataset and use cases, creating and labeling datasets, getting enough clean data to carry out processing, identifying outliers, overftting datasets, hyperparameter tuning, and more. Here, you'll also learn to make more timely and accurate predictions.In addition, you'll deal with more advanced use cases, such as building a gaming bot, building an extractive summarization tool for medical documents, and you'll also tackle the problems faced while building an ML model. By the end of this book, you'll be able to fine-tune your models as per your needs to deliver maximum productivity.