Python: End-to-end Data Analysis. Leverage the power of Python to clean, scrape, analyze, and visualize your data

Ivan Idris, Luiz Felipe Martins, Martin Czygan, Phuong Vo.T.H, ...

Data analysis is the process of applying logical and analytical reasoning to study each component of data present in the system. Python is a multi-domain, high-level, programming language that offers a range of tools and libraries suitable for all purposes, it has slowly evolved as one of the primary languages for data science. Have you ever imagined becoming an expert at effectively approaching data analysis problems, solving them, and extracting all of the available information from your data? If yes, look no further, this is the course you need!In this course, we will get you started with Python data analysis by introducing the basics of data analysis and supported Python libraries such as matplotlib, NumPy, and pandas. Create visualizations by choosing color maps, different shapes, sizes, and palettes then delve into statistical data analysis using distribution algorithms and correlations. You’ll then find your way around different data and numerical problems, get to grips with Spark and HDFS, and set up migration scripts for web mining. You’ll be able to quickly and accurately perform hands-on sorting, reduction, and subsequent analysis, and fully appreciate how data analysis methods can support business decision-making. Finally, you will delve into advanced techniques such as performing regression, quantifying cause and effect using Bayesian methods, and discovering how to use Python’s tools for supervised machine learning.The course provides you with highly practical content explaining data analysis with Python, from the following Packt books:1. Getting Started with Python Data Analysis.2. Python Data Analysis Cookbook.3. Mastering Python Data Analysis.By the end of this course, you will have all the knowledge you need to analyze your data with varying complexity levels, and turn it into actionable insights.

Network Science with Python and NetworkX Quick Start Guide. Explore and visualize network data effectively

Edward L. Platt

NetworkX is a leading free and open source package used for network science with the Python programming language. NetworkX can track properties of individuals and relationships, find communities, analyze resilience, detect key network locations, and perform a wide range of important tasks. With the recent release of version 2, NetworkX has been updated to be more powerful and easy to use.If you’re a data scientist, engineer, or computational social scientist, this book will guide you in using the Python programming language to gain insights into real-world networks. Starting with the fundamentals, you’ll be introduced to the core concepts of network science, along with examples that use real-world data and Python code. This book will introduce you to theoretical concepts such as scale-free and small-world networks, centrality measures, and agent-based modeling. You’ll also be able to look for scale-free networks in real data and visualize a network using circular, directed, and shell layouts.By the end of this book, you’ll be able to choose appropriate network representations, use NetworkX to build and characterize networks, and uncover insights while working with real-world systems.

Microservices Design Patterns in .NET. Making sense of microservices design and architecture using .NET Core

Are you a developer who needs to fully understand the different patterns and benefits that they bring to designing microservices? If yes, then this book is for you. Microservices Design Patterns in .NET will help you appreciate the various microservice design concerns and strategies that can be used to navigate them.Making a microservice-based app is no easy feat and there are many concerns that need to be addressed. As you progress through the chapters of this guide, you’ll dive headfirst into the problems that come packed with this architectural approach, and then explore the design patterns that address these problems. You’ll also learn how to be deliberate and intentional in your architectural design to overcome major considerations in building microservices.By the end of this book, you’ll be able to apply critical thinking and clean coding principles when creating a microservices application using .NET Core.

Metasploit Penetration Testing Cookbook. Over 70 recipes to master the most widely used penetration testing framework with this book and

Abhinav Singh

Metasploit® software helps security and IT professionals identify security issues, verify vulnerability mitigations, and manage expert-driven security assessments. Capabilities include smart exploitation, password auditing, web application scanning, and social engineering. Teams can collaborate in Metasploit and present their findings in consolidated reports. The goal of the software is to provide a clear understanding of the critical vulnerabilities in any environment and to manage those risks.Metasploit Penetration Testing Cookbook targets both professionals and beginners to the framework. The chapters of the book are logically arranged with an increasing level of complexity and cover Metasploit aspects ranging from pre-exploitation to the post-exploitation phase thoroughly. The recipe structure of the book provides a good mix of both theoretical understanding and practical implementation. This book will help readers in thinking from a hacker's perspective to dig out the flaws in target networks and also to leverage the powers of Metasploit to compromise them. It will take your penetration skills to the next level.The book starts with the basics such as gathering information about your target and gradually covers advanced topics like building your own framework scripts and modules. The book goes deep into operating systems-based penetration testing techniques and moves ahead with client-based exploitation methodologies. In the post- exploitation phase, it covers meterpreter, antivirus bypass, ruby wonders, exploit building, porting exploits to framework, and third party tools like armitage, and SET. Metasploit Penetration Testing Cookbook is the required guide to penetration testing and exploitation.

Microsoft Forefront Identity Manager 2010 R2 Handbook. This is the only reference you need to implement and manage Microsoft Forefront Identity Manager in your business. Takes you from design to configuration in logical steps, and even covers basic Certificate Management and troubleshooting

Kent Nordstrom, Kent Nordstr?É?íÂ!?m

Microsoft's Forefront Identity Manager simplifies enterprise identity management for end users by automating admin tasks and integrating the infrastructure of an enterprise with strong authentication systems.The Microsoft Forefront Identity Manager 2010 R2 Handbook is an in-depth guide to Identity Management. You will learn how to manage users and groups and implement self-service parts. This book also covers basic Certificate Management and troubleshooting.Throughout the book we will follow a fictional case study. You will see how to implement IM and also set up Smart Card logon for strong administrative accounts within Active Directory. You will learn to implement all the features of FIM 2010 R2. You will see how to install a complete FIM 2010 R2 infrastructure including both test and production environment. You will be introduced to Self-Service management of both users and groups. FIM Reports to audit the identity management lifecycle are also discussed in detail.With the Microsoft Forefront Identity Manager 2010 R2 Handbook you will be able implement and manage FIM 2010 R2 almost effortlessly.

Mastering PostgreSQL 15. Advanced techniques to build and manage scalable, reliable, and fault-tolerant database applications - Fifth Edition

Hans-Jürgen Schönig

Starting with an introduction to the newly released features of PostgreSQL 15, this updated fifth edition will help you get to grips with PostgreSQL administration and how to build dynamic database solutions for enterprise apps, including designing both physical and technical aspects of the system.You'll explore advanced PostgreSQL features, such as logical replication, database clusters, advanced indexing, and user management to manage and maintain your database. You'll then work with the PostgreSQL optimizer, configure PostgreSQL for high speed, and move from Oracle to PostgreSQL. Among the other skills that the book will help you build, you’ll cover transactions, handling recursions, working with JSON and JSONB data, and setting up a Patroni cluster. It will show you how to improve performance with query optimization. You'll also focus on managing network security and work with backups and replication while exploring useful PostgreSQL extensions that optimize the performance of large databases.By the end of this PostgreSQL book, you’ll be able to use your database to its utmost capacity by implementing advanced administrative tasks with ease.

vSphere Virtual Machine Management. This tutorial will help VMware administrators fine-tune and expand their expertise with vSphere. From creating and configuring virtual machines to optimizing performance, it’s all here in a crystal clear series of chapters

R Machine Learning By Example. Understand the fundamentals of machine learning with R and build your own dynamic algorithms to tackle complicated real-world problems successfully

Dipanjan Sarkar, Raghav Bali

Data science and machine learning are some of the top buzzwords in the technical world today. From retail stores to Fortune 500 companies, everyone is working hard to making machine learning give them data-driven insights to grow their business. With powerful data manipulation features, machine learning packages, and an active developer community, R empowers users to build sophisticated machine learning systems to solve real-world data problems.This book takes you on a data-driven journey that starts with the very basics of R and machine learning and gradually builds upon the concepts to work on projects that tackle real-world problems.You’ll begin by getting an understanding of the core concepts and definitions required to appreciate machine learning algorithms and concepts. Building upon the basics, you will then work on three different projects to apply the concepts of machine learning, following current trends and cover major algorithms as well as popular R packages in detail. These projects have been neatly divided into six different chapters covering the worlds of e-commerce, finance, and social-media, which are at the very core of this data-driven revolution. Each of the projects will help you to understand, explore, visualize, and derive insights depending upon the domain and algorithms.Through this book, you will learn to apply the concepts of machine learning to deal with data-related problems and solve them using the powerful yet simple language, R.