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Learning Pentaho CTools
by Miguel GasparAcquire finesse with CTools features and build rich and custom analytics solutions using Pentaho About This Book * Learn everything you need to know to make the most of CTools * Create interactive and remarkable dashboards using the CTools * Understand how to use and create data visualizations that can make the difference * The author of our book works for Pentaho as a Senior Consultant * Acts as a follow-up to Packt's previously published products on Pentaho such as Pentaho Business Analytics Cookbook, Pentaho Analytics for MongoDB, Pentaho Data Integration Cookbook - Second Edition, and Pentaho Reporting [Video] * Our book is based on the latest version of Pentaho, that is, 6.0 Who This Book Is For If you are a CTools developer and would like to expand your knowledge and create attractive dashboards and frameworks, this book is the go-to-guide for you. A basic knowledge of JavaScript and Cascading Style Sheets (CSS) is highly recommended. What You Will Learn * Install Community Tools on Pentaho; and understand the necessary concepts and considerations when creating an exciting dashboard design * Get data from many different Pentaho datasources and deliver it in different formats (CSV, XLS, XML, or JSON) * Use the Community Data Access (CDA) as the data abstraction layer and understand the concepts in the Community Dashboard Framework (CDF) * Create a Community Dashboard Editor (CDE) dashboard and make the most of the main components * Create and make use of widgets and use duplicate components to have data-driven sections on the dashboard * Customize and create interaction between all components, including charts, using the Community Charts Components * Create and embed dashboards in a better and new way * Create plugins and make use of parameters inside Pentaho without writing code In Detail Pentaho and CTools are two of the fastest and most rapidly growing tools for practical solutions not found in any other tool available on the market. Using Pentaho allows you to build a complete analytics solution, and CTools brings an advanced flexibility to customizing them in a remarkable way. CTools provides its users with the ability to utilize Web technologies and data visualization concepts, and make the most of best practices to create a huge visual impact. The book starts with the basics of the framework and how to get data to your dashboards. We'll take you all the way through to create your custom and advanced dashboards that will create an effective visual impact and provide the best user experience. You will be given deep insights into the lifecycle of dashboards and the working of various components. Further, you will create a custom dashboard using the Community Dashboards Editor and use datasources to load data on the components. You will also create custom content using Query, the Freeform Addins Popup, and text components. Next, you will make use of widgets to create similar sections and duplicate components to reproduce other components on a dashboard. You will then learn to build a plugin without writing Java code, use Sparkl as a CPK plugin manager, and understand the application of deployment and version control to dashboard development. Finally, you will learn tips and tricks that can be very useful while embedding dashboards into other applications. This guide is an invaluable tutorial if you are planning to use custom and advanced dashboards among the solutions that you are building with Pentaho. Style and approach This book is a pragmatic, easy-to-follow guide that provides theoretical concepts, ideas, and tricks to better understand the necessary theoretical concepts. It also provides you with a set of highly intriguing samples of dashboards with customized code within them that can be utilized for future projects.
Learning Penetration Testing with Python
by Christopher DuffyUtilize Python scripting to execute effective and efficient penetration tests About This Book * Understand how and where Python scripts meet the need for penetration testing * Familiarise yourself with the process of highlighting a specific methodology to exploit an environment to fetch critical data * Develop your Python and penetration testing skills with real-world examples Who This Book Is For If you are a security professional or researcher, with knowledge of different operating systems and a conceptual idea of penetration testing, and you would like to grow your knowledge in Python, then this book is ideal for you. What You Will Learn * Familiarise yourself with the generation of Metasploit resource files * Use the Metasploit Remote Procedure Call (MSFRPC) to automate exploit generation and execution * Use Python's Scrapy, network, socket, office, Nmap libraries, and custom modules * Parse Microsoft Office spreadsheets and eXtensible Markup Language (XML) data files * Write buffer overflows and reverse Metasploit modules to expand capabilities * Exploit Remote File Inclusion (RFI) to gain administrative access to systems with Python and other scripting languages * Crack an organization's Internet perimeter * Chain exploits to gain deeper access to an organization's resources * Interact with web services with Python In Detail Python is a powerful new-age scripting platform that allows you to build exploits, evaluate services, automate, and link solutions with ease. Python is a multi-paradigm programming language well suited to both object-oriented application development as well as functional design patterns. Because of the power and flexibility offered by it, Python has become one of the most popular languages used for penetration testing. This book highlights how you can evaluate an organization methodically and realistically. Specific tradecraft and techniques are covered that show you exactly when and where industry tools can and should be used and when Python fits a need that proprietary and open source solutions do not. Initial methodology, and Python fundamentals are established and then built on. Specific examples are created with vulnerable system images, which are available to the community to test scripts, techniques, and exploits. This book walks you through real-world penetration testing challenges and how Python can help. From start to finish, the book takes you through how to create Python scripts that meet relative needs that can be adapted to particular situations. As chapters progress, the script examples explain new concepts to enhance your foundational knowledge, culminating with you being able to build multi-threaded security tools, link security tools together, automate reports, create custom exploits, and expand Metasploit modules. Style and approach This book is a practical guide that will help you become better penetration testers and/or Python security tool developers. Each chapter builds on concepts and tradecraft using detailed examples in test environments that you can simulate.
Learning Path - Spring 5: End to End Programming
by Rajesh R V Dinesh Rajput Claudio Eduardo OliveiraIf you're a developer starting out with Spring, then this learning path will help you learn about the new Spring 5.0 framework concepts followed by their implementation in Java and Kotlin. If you are an experienced Spring developer, then this Learning Path will enable you to gain insights into the new features added in Spring 5.0.
Learning Path - QlikView: Advanced Data Visualization
by Karl Pover Stephen Redmond Barry Harmsen Miguel Angel GarciaThis Learning Path is designed for developers who want to go beyond their technical knowledge of QlikView and understand how to create analysis and data visualizations that solve real business needs. To grasp the concepts explained in this Learning Path, you should have a basic understanding of the common QlikView functions and some hands-on experience with the tool.
Learning Path - Python: Beginner's Guide to Artificial Intelligence
by Md. Rezaul Karim Giancarlo Zaccone Vahid Mirjalili Sebastian Raschka Denis RothmanThis Learning Path is for anyone who wants to understand the fundamentals of Artificial Intelligence and implement it practically by devising smart solutions. You will learn to extend your machine learning and deep learning knowledge by creating practical AI smart solutions. Prior experience with Python and statistical knowledge is essential to make the most out of this Learning Path.
Learning Path - Python: Expert Machine Learning Systems And Intelligent Agents Using Python
by Rajalingappaa Shanmugamani Armando Fandango Giuseppe BonaccorsoThis Learning Path is for data scientists, machine learning engineers, artificial intelligence engineers who want to delve into complex machine learning algorithms, calibrate models, and improve the predictions of the trained model. You will encounter the advanced intricacies and complex use cases of deep learning and AI. A basic knowledge of programming in Python and some understanding of machine learning concepts are required to get the best out of this Learning Path.
Learning Path - Python: Harness The Power Of Python To Analyze And Find Hidden Patterns In The Data
by Theodore Petrou Aldrin Yim Claire Chung Allen Yu Pratap DangetiIf you want to learn how to use the many libraries of Python to extract impactful information from your data and present it as engaging visuals, then this is the ideal Learning Path for you. Some basic knowledge of Python is enough to get started with this Learning Path.
Learning Path - Professional Web Development with Angular: Your One-stop Guide To Building Scalable And Production-grade Angular Web Apps
by Doguhan Uluca Christoffer Noring Kevin Hennessy Chandermani AroraThis Learning Path is designed for JavaScript and frontend developers who want to get a comprehensive practical experience on using Angular for end-to-end enterprise-ready applications.
Learning Path - Node.js Complete Reference Guide: Discover A More Sustainable Way Of Writing Software With High Levels Of Reusability And Collaboration Using Node. Js
by Diogo Resende David Herron Valentin BojinovNode.js Complete Reference Guide is designed for web developers who have a rudimentary understanding of JavaScript and web application development, are keen to enrich their development skills to create RESTful applications, and want utilize their skills to build microservices.
Learning Path - Modern C++: Efficient and Scalable Application Development
by Marius Bancila Richard GrimesThis Learning Path is designed for developers who want to gain a solid foundation with C++. A computer, an Internet connection, and the desire to learn how to code in C++ are all you need to get started with this Learning Path.
Learning Path - Microsoft PowerBI Complete Reference: Bring Your Data To Life With The Powerful Features Of Microsoft Power Bi
by Brett Powell Manuel Quintana Mitchell Pearson Brian Knight Devin KnightMicrosoft Power BI Complete Reference Guide is for those who want to learn and use the Power BI features to extract maximum information and make intelligent decisions that boost their business. If you have a basic understanding of BI concepts and want to learn how to apply them using Microsoft Power BI, then Learning Path is for you. It consists of real-world examples on Power BI and goes deep into the technical issues, covers additional protocols, and much more.
Learning Path - Getting Started with Spring Microservices: Master design patterns of the Spring framework to build smart, efficient microservices
by Dinesh Rajput Rajesh R VGetting Started with Spring Microservices is ideal for Spring developers who want to use design patterns to solve common design problems and build cloud-ready, Internet-scale applications, and simple RESTful services.
Learning Path - Getting Started with Blockchain: Develop Smart Applications With Blockchain Technologies - Ethereum, Javascript, Hyperledger Fabric, And Corda
by Narayan Prusty Paul Valencourt Samanyu Chopra Brenn HillGetting Started with Blockchain is for you if you want to get to grips with the blockchain technology and develop your own distributed applications. It is also designed for those who want to polish their existing knowledge regarding the various pillars of the blockchain ecosystem. Prior exposure to an object-oriented programming language such as JavaScript is needed.
Learning Path - Deploying Azure Solutions: A Complete Guide To Cloud Development Using Microsoft Azure
by Ritesh Modi Oliver Michalski Jan-Henrik Damaschke Florian KlaffenbachDeploying Azure Solutions is for IT architects, system and network admins, and DevOps engineers who are aware of Azure solutions and want to implement them for their organization. Prior basic knowledge of the Azure Cloud platform is good to have.
Learning Path - Complete Vue.js 2 Web Development: Practical Guide To Building End-to-end Web Development Solutions With Vue. Js 2
by Paul Halliday Andrea Passaglia Mike StreetThe Learning Path is intended for JavaScript developers at any level of expertise who wants to learn Vue.js and develop productive web applications with the power of the latest Vue.js.
Learning Path - Complete Python Web Development with Django: Get hands-on with Python Programming and Django web development
by Arun Ravindran Gaston C. Hillar Antonio MeleThis Learning Path is designed for Python developers who want to create robust web apps with Django. Though you need a basic working knowledge of Django, you do not need any previous experience with RESTful web services or Python.
Learning Path - C# 7 and .NET: The Open Source Revolution Of . Net Core
by Ovais Mehboob Khan Mark J. PriceThis Learning Path is designed for developers who want to gain a solid foundation with C# and .NET Core, and want to build cross-platform applications. To gain maximum benefits from this Learning Path, you must have the basic knowledge of C#.
Learning Path - Apache Spark 2: Master Complex Big Data Processing, Stream Analytics, And Machine Learning With Apache Spark
by Meenakshi Rajendran Siamak Amirghodsi Sridhar Alla Md. Rezaul Karim Romeo KienzlerIf you are an intermediate-level Spark developer looking to master the advanced capabilities and use-cases of Apache Spark 2.x, this Learning Path is ideal for you. Big data professionals who want to learn how to integrate and use the features of Apache Spark and build a strong big data pipeline will also find this Learning Path useful. To grasp the concepts explained in this Learning Path, you must know the fundamentals of Apache Spark and Scala.
Learning Path – Getting Started with Tableau 10: Transform Your Business With Rich Data Visualizations And Interactive Dashboards With Tableau 10
by Donabel Santos Joshua MilliganGetting Started with Tableau 10 is designed for business intelligence users and data analysts who want to expand their data visualization knowledge by learning Tableau 10.
Learning pandas - Second Edition
by Michael HeydtGet to grips with pandas—a versatile and high-performance Python library for data manipulation, analysis, and discovery About This Book • Get comfortable using pandas and Python as an effective data exploration and analysis tool • Explore pandas through a framework of data analysis, with an explanation of how pandas is well suited for the various stages in a data analysis process • A comprehensive guide to pandas with many of clear and practical examples to help you get up and using pandas Who This Book Is For This book is ideal for data scientists, data analysts, Python programmers who want to plunge into data analysis using pandas, and anyone with a curiosity about analyzing data. Some knowledge of statistics and programming will be helpful to get the most out of this book but not strictly required. Prior exposure to pandas is also not required. What You Will Learn • Understand how data analysts and scientists think about of the processes of gathering and understanding data • Learn how pandas can be used to support the end-to-end process of data analysis • Use pandas Series and DataFrame objects to represent single and multivariate data • Slicing and dicing data with pandas, as well as combining, grouping, and aggregating data from multiple sources • How to access data from external sources such as files, databases, and web services • Represent and manipulate time-series data and the many of the intricacies involved with this type of data • How to visualize statistical information • How to use pandas to solve several common data representation and analysis problems within finance In Detail You will learn how to use pandas to perform data analysis in Python. You will start with an overview of data analysis and iteratively progress from modeling data, to accessing data from remote sources, performing numeric and statistical analysis, through indexing and performing aggregate analysis, and finally to visualizing statistical data and applying pandas to finance. With the knowledge you gain from this book, you will quickly learn pandas and how it can empower you in the exciting world of data manipulation, analysis and science. Style and approach • Step-by-step instruction on using pandas within an end-to-end framework of performing data analysis • Practical demonstration of using Python and pandas using interactive and incremental examples
Learning pandas
by Michael HeydtIf you are a Python programmer who wants to get started with performing data analysis using pandas and Python, this is the book for you. Some experience with statistical analysis would be helpful but is not mandatory.
Learning pandas
by Michael Heydt<P><P>Key Features <P><P>Employ the use of pandas for data analysis closely to focus more on analysis and less on programming <P><P>Get programmers comfortable in performing data exploration and analysis on Python using pandas <P><P>Step-by-step demonstration of using Python and pandas with interactive and incremental examples to facilitate learning <P><P>Book Description <P><P>This learner's guide will help you understand how to use the features of pandas for interactive data manipulation and analysis. <P><P>This book is your ideal guide to learning about pandas, all the way from installing it to creating one- and two-dimensional indexed data structures, indexing and slicing-and-dicing that data to derive results, loading data from local and Internet-based resources, and finally creating effective visualizations to form quick insights. You start with an overview of pandas and NumPy and then dive into the details of pandas, covering pandas' Series and DataFrame objects, before ending with a quick review of using pandas for several problems in finance. <P><P>With the knowledge you gain from this book, you will be able to quickly begin your journey into the exciting world of data science and analysis. <P><P>What You Will Learn <P><P>Install pandas on Windows, Mac, and Linux using the Anaconda Python distribution <P><P>Learn how pandas builds on NumPy to implement flexible indexed data <P><P>Adopt pandas' Series and DataFrame objects to represent one- and two-dimensional data constructs <P><P>Index, slice, and transform data to derive meaning from information <P><P>Load data from files, databases, and web services <P><P>Manipulate dates, times, and time series data <P><P>Group, aggregate, and summarize data <P><P>Visualize techniques for pandas and statistical data
Learning Oracle PL/SQL
by Bill PribylDesigned for both new programmers and those experienced in other languages, this book presents the core features of Oracle's PL/SQL language in an easy-to-read format. Learning Oracle PL/SQL will bring programmers up to speed on the most important aspects of PL/SQL, including web and Internet programming. Updated through Oracle9i, includes sample programs downloadable from examples.oreilly.com/learnoracle .
Learning Oracle PL/SQL
by Bill PribylPL/SQL, Oracle's programming language for stored procedures, delivers a world of possibilities for your database programs. PL/SQL supplements the standard relational database language, SQL, with a wide range of procedural features, including loops, IF-THEN statements, advanced data structures, and rich transactional control--all closely integrated with the Oracle database server. Knowing where to start with Oracle's procedural language is not always obvious to a newcomer, especially considering the language's feature set and the sheer size of the official documentation (not to mention Oracle's ever-increasing number of pre-built PL/SQL programs). But Learning Oracle PL/SQL offers the signposts and guidance you need to come up to speed on the language, delivered in a manageable number of pages while covering all the essentials. Topics include: PL/SQL--what is it, and why use it? Why use PL/SQL instead of Java? Syntax and examples of all core language constructs Creating, using, and reusing stored procedures, functions, and packages Building web-based applications using PL/SQL features available "out of the box" (such as PL/SQL Server Pages) Securing PL/SQL programs against attack Benefits of third-party developer tools and integrated development environments Connecting PL/SQL to email, Java, and the Internet Meticulously crafted with all-new examples downloadable from examples.oreilly.com/learnoracle , the book addresses language features available in all versions of Oracle, from Oracle7 to Oracle8i to Oracle9i. Learning Oracle PL/SQL was written by PL/SQL experts Bill Pribyl and Steven Feuerstein, whose easy-to-read style and attention to detail has made other O'Reilly books (such as the bestselling Oracle PL/SQL Programming ) very popular among Oracle developers worldwide. Learning Oracle PL/SQL is meant for a wide range of target audiences, including both beginning programmers and those already experienced with other programming languages. Whether you are a new developer, a crossover programmer from another database system, or a new database administrator who needs to learn PL/SQL, this book will get you well on your way. It is the perfect introduction to Oracle PL/SQL Programming , also by Pribyl and Feuerstein.
Learning OpenTelemetry
by Ted Young Austin ParkerOpenTelemetry is a revolution in observability data. Instead of running multiple uncoordinated pipelines, OpenTelemetry provides users with a single integrated stream of data, providing multiple sources of high-quality telemetry data: tracing, metrics, logs, RUM, eBPF, and more. This practical guide shows you how to set up, operate, and troubleshoot the OpenTelemetry observability system.Authors Austin Parker, head of developer relations at Lightstep and OpenTelemetry Community Maintainer, and Ted Young, cofounder of the OpenTelemetry project, cover every OpenTelemetry component, as well as observability best practices for many popular cloud, platform, and data services such as Kubernetes and AWS Lambda. You'll learn how OpenTelemetry enables OSS libraries and services to provide their own native instrumentation—a first in the industry.Ideal for application developers, OSS maintainers, operators and infrastructure teams, and managers and team leaders, this book guides you through:The principles of modern observabilityAll OpenTelemetry components—and how they fit togetherA practical approach to instrumenting platforms and applicationsMethods for installing, operating, and troubleshooting an OpenTelemetry-based observability solutionWays to roll out and maintain end-to-end observability across a large organizationHow to write and maintain consistent, high-quality instrumentation without a lot of work