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Kali Linux Web Penetration Testing Cookbook: Identify, exploit, and prevent web application vulnerabilities with Kali Linux 2018.x, 2nd Edition
Kali Linux Web Penetration Testing Cookbook: Identify, exploit, and prevent web application vulnerabilities with Kali Linux 2018.x, 2nd Edition

Discover the most common web vulnerabilities and prevent them from becoming a threat to your site's security

Key Features

  • Familiarize yourself with the most common web vulnerabilities
  • Conduct a preliminary assessment of attack surfaces and run exploits in your lab
  • ...
Hands-On Data Visualization with Bokeh: Interactive web plotting for Python using Bokeh
Hands-On Data Visualization with Bokeh: Interactive web plotting for Python using Bokeh

Learn how to create interactive and visually aesthetic plots using the Bokeh package in Python

Key Features

  • A step by step approach to creating interactive plots with Bokeh
  • Go from nstallation all the way to deploying your very own Bokeh application
  • Work...
Advanced Infrastructure Penetration Testing: Defend your systems from methodized and proficient attackers
Advanced Infrastructure Penetration Testing: Defend your systems from methodized and proficient attackers

A highly detailed guide to performing powerful attack vectors in many hands-on scenarios and defending significant security flaws in your company's infrastructure

Key Features

  • Advanced exploitation techniques to breach modern operating systems and complex network devices
  • ...
TensorFlow 2.0 Quick Start Guide: Get up to speed with the newly introduced features of TensorFlow 2.0
TensorFlow 2.0 Quick Start Guide: Get up to speed with the newly introduced features of TensorFlow 2.0

Perform supervised and unsupervised machine learning and learn advanced techniques such as training neural networks.

Key Features

  • Train your own models for effective prediction, using high-level Keras API
  • Perform supervised and unsupervised machine learning and learn...
Practical Big Data Analytics: Hands-on techniques to implement enterprise analytics and machine learning using Hadoop, Spark, NoSQL and R
Practical Big Data Analytics: Hands-on techniques to implement enterprise analytics and machine learning using Hadoop, Spark, NoSQL and R

Get command of your organizational Big Data using the power of data science and analytics

Key Features

  • A perfect companion to boost your Big Data storing, processing, analyzing skills to help you take informed business decisions
  • Work with the best tools such as Apache...
Monetizing Machine Learning: Quickly Turn Python ML Ideas into Web Applications on the Serverless Cloud
Monetizing Machine Learning: Quickly Turn Python ML Ideas into Web Applications on the Serverless Cloud

Take your Python machine learning ideas and create serverless web applications accessible by anyone with an Internet connection. Some of the most popular serverless cloud providers are covered in this book?Amazon, Microsoft, Google, and PythonAnywhere.

You will work through a series of common Python data science problems...

Mastering Microsoft Power BI: Expert techniques for effective data analytics and business intelligence
Mastering Microsoft Power BI: Expert techniques for effective data analytics and business intelligence

Design, create and manage robust Power BI solutions to gain meaningful business insights

Key Features

  • Master all the dashboarding and reporting features of Microsoft Power BI
  • Combine data from multiple sources, create stunning visualizations and publish your reports across...
Data Science with SQL Server Quick Start Guide: Integrate SQL Server with data science
Data Science with SQL Server Quick Start Guide: Integrate SQL Server with data science

Get unique insights from your data by combining the power of SQL Server, R and Python

Key Features

  • Use the features of SQL Server 2017 to implement the data science project life cycle
  • Leverage the power of R and Python to design and develop efficient data models
  • ...
Hands-On Automated Machine Learning: A beginner's guide to building automated machine learning systems using AutoML and Python
Hands-On Automated Machine Learning: A beginner's guide to building automated machine learning systems using AutoML and Python

Automate data and model pipelines for faster machine learning applications

Key Features

  • Build automated modules for different machine learning components
  • Understand each component of a machine learning pipeline in depth
  • Learn to use different open source...
Beginning API Development with Node.js: Build highly scalable, developer-friendly APIs for the modern web with JavaScript and Node.js
Beginning API Development with Node.js: Build highly scalable, developer-friendly APIs for the modern web with JavaScript and Node.js

Learn everything you need to get up and running with cutting-edge API development using JavaScript and Node.js; ideal for data-intensive real-time applications that run across multiple platforms.

Key Features

  • Build web APIs from start to finish using JavaScript across the development...
Introduction to Blockchain and Ethereum: Use distributed ledgers to validate digital transactions in a decentralized and trustless manner
Introduction to Blockchain and Ethereum: Use distributed ledgers to validate digital transactions in a decentralized and trustless manner

Build distributed applications that resolve data ownership issues when working with transactions between multiple parties

Key Features

  • Explore a perfect balance between theories and hands-on activities
  • Discover popular Blockchain use cases such as Bitcoin
  • ...
Fundamentals of Database Systems (4th Edition)
Fundamentals of Database Systems (4th Edition)
This book introduces the fundamental concepts necessary for designing, using, and implementing database systems and applications. Our presentations stresses the fundamentals of database modeling and design, the languages and facilities provided by the database management systems, and system implementation techniques. The book is meant to be used as...
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