Build robust and a maintainable cross-platform mobile UI with Xamarin and C# 7, 2nd Edition :
Xamarin is the most powerful native and cross-platform mobile development framework out there. If you are interested in building stunning, maintainable, cross-platform user interfaces for iOS and Android platforms using the power of Xamarin and the Xamarin.Forms frameworks, then this is the book for you.
Author/Authors: Daniel, Steven F.
Pages: 584 | Published Date: 43343
Category: Mobile
Build rich, maintainable multiplatform native mobile apps with Xamarin.Forms :
This book is intended for C# developers who are familiar with the Xamarin platform and the Xamarin.Forms toolkit. If you have already started working with Xamarin.Forms and want to take your app to the next level and make it more maintainable, testable, and flexible, then this book is for you.
Author/Authors: Snider, Ed
Pages: 184 | Published Date: 42399
Category: Mobile
Create high-quality multi-platform native apps with Xamarin.Forms :
This book is intended for C# developers who are familiar with the Xamarin platform and the Xamarin.Forms toolkit. If you have already started working with Xamarin.Forms and want to take your app to the next level with higher quality, maintainability, testability, and flexibility, then this book is for you.
Author/Authors: Snider, Ed
Pages: 192 | Published Date: 43186
Category: Mobile
Monitor your large IT environment effi ciently with Zabbix :
Written as a practical step-by-step tutorial, this book is full of engaging examples to help you learn in a practical context.If you are a system administrator or an IT architect and want to know how to better integrate your Zabbix installation with your surrounding environment, this book is ideal for you. A basic, working knowledge of Zabbix is assumed, so that the book can focus on how to take full advantage of every component. The code in the later chapter will be explained in its functionality, but basic programming skills are assumed as well.
Author/Authors: Vacche, Andrea Dalle | Lee, Stefano Kewan
Pages: 358 | Published Date: 41628
Category: Cloud & Networking
Learn and explore the fundamentals of data analysis with power of Mathematica :
Learn and explore the fundamentals of data analysis with power of Mathematica About This Book • Use the power of Mathematica to analyze data in your applications • Discover the capabilities of data classification and pattern recognition offered by Mathematica • Use hundreds of algorithms for time series analysis to predict the future Who This Book Is For The book is for those who want to learn to use the power of Mathematica to analyze and process data. Perhaps you are already familiar with data analysis but have never used Mathematica, or you know Mathematica but you are new to data analysis. With the help of this book, you will be able to quickly catch up on the key points for a successful start. What You Will Learn • Import data from different sources to Mathematica • Link external libraries with programs written in Mathematica • Classify data and partition them into clusters • Recognize faces, objects, text, and barcodes • Use Mathematica functions for time series analysis • Use algorithms for statistical data processing • Predict the result based on the observations In Detail There are many algorithms for data analysis and it’s not always possible to quickly choose the best one for each case. Implementation of the algorithms takes a lot of time. With the help of Mathematica, you can quickly get a result from the use of a particular method, because this system contains almost all the known algorithms for data analysis. If you are not a programmer but you need to analyze data, this book will show you the capabilities of Mathematica when just few strings of intelligible code help to solve huge tasks from statistical issues to pattern recognition. If you're a programmer, with the help of this book, you will learn how to use the library of algorithms implemented in Mathematica in your programs, as well as how to write algorithm testing procedure. With each chapter, you'll be more immersed in the special world of Mathematica. Along with intuitive queries for data processing, we will highlight the nuances and features of this system, allowing you to build effective analysis systems. With the help of this book, you will learn how to optimize the computations by combining your libraries with the Mathematica kernel. Style and approach This book takes a step-by-step approach, accompanied by examples, so you get a better understanding of the logic of writing algorithms for data analysis in Mathematica. We provide a detailed explanation of all the nuances of the Mathematica language, no matter what your level of experience is.
Author/Authors: Suchok, Sergiy
Pages: 164 | Published Date: 42362
Category: Data
Create and prototype interactive data visualizations using Mathematica :
If you are planning to create data analysis and visualization tools in the context of science, engineering, economics, or social science, then this book is for you. With this book, you will become a visualization expert, in a short time, using Mathematica.
Author/Authors: Saquib, Nazmus
Pages: 146 | Published Date: 41907
Category: Data
Extract patterns and knowledge from your data in easy way using MATLAB :
This book is for data analysts, data scientists, students, or anyone who is looking to get started with machine learning and want to build efficient data processing and predicting applications. A mathematical and statistical background will really help in following this book well.
Author/Authors: Ciaburro, Giuseppe
Pages: 382 | Published Date: 42975
Category: Data
Present your data in the clearest, most engaging way possible by harnessing the visualization power of MATLAB. With a host of practical recipes and step-by-step instructions, this book is the fast-track to stunning results. :
"MATLAB Graphics and Data Visualization Cookbook" will serve as your handbook in recipe format with ample screenshots. Each independent recipe will help you in achieving target-oriented solutions to your problems with concise explanation. For those who are already using MATLAB for their computational needs but need to also harness its powerful visualization capabilities.
Author/Authors: Majumdar, Nivedita | Banerjee, Swapnonil
Pages: 284 | Published Date: 41236
Category: Data
Unlock deeper insights into visualization in form of 2D and 3D graphs using Matplotlib 2.x :
This book is for anyone interested in data visualization, to get insights from big data with Python and Matplotlib 2.x. With this book you will be able to extend your knowledge and learn how to use python code in order to visualize your data with Matplotlib. Basic knowledge of Python is expected.
Author/Authors: Yu, Allen | Chung, Claire | Yim, Aldrin
Pages: 334 | Published Date: 42975
Category: Data
Leverage the power of Matplotlib to visualize and understand your data more effectively :
This book is essentially for anyone who wants to create intuitive data visualizations using the Matplotlib library. If you’re a data scientist or analyst and wish to create attractive visualizations using Python, you’ll find this book useful. Some knowledge of Python programming is all you need to get started.
Author/Authors: Yim, Aldrin | Chung, Claire
Pages: 300 | Published Date: 43214
Category: Data
Learn how to create professional scientific plots using matplotlib, with more than 60 recipes that cover common use cases :
This book follows a cookbook style approach that puts orthogonal and nonredundant recipes in your hands. Rather than rehashing the user manual, the explanations expose the underlying logic behind Matplotlib. If you are an engineer or scientist who wants to create great visualizations with Python, rather than yet another specialized language, this is the book for you. While there are several very competent plotting packages, Matplotlib is “just†a Python module. Thus, if you know some Python already, you will feel at home from the first steps on. In case you are an application writer, you won't be left out since the integration of Matplolib is covered.
Author/Authors: Devert, Alexandre
Pages: 222 | Published Date: 41724
Category: Data
Accelerate packaged (COTS) software implementations, increase returns on investment, and reduce implementation costs and customizations :
This is a handbook covering ten principles for packaged software implementations that project managers, business owners, and IT developers should pay attention to. The book also has practical real-world coverage including a sample agenda for conducting business solution modeling, customer case studies, and a road map to implement guiding principles. This book is aimed at enterprise architects, development leads, project managers, business systems analysts, business systems owners, and anyone who wants to implement packaged software effectively. If you are a customer looking to implement COTS software in the future then this book will provide a strategy to maximize your investment. If you are in an internal IT role and you find that your internal software development methodology doesn't quite work for an off-the-shelf business software package then this book will provide you with perspective on how to adjust your approach. If you are an implementation partner looking to minimize the blood, sweat, and tears shed with implementing COTS software then this book will be a guide to filter out obstacles and enable implementation focus.
Author/Authors: Beaubouef, Grady Brett
Pages: 232 | Published Date: 40162
Category: Business & Other
80 recipes for enriching your Business Intelligence solutions with high-performance MDX calculations and flexible MDX queries :
This book offers practical, task-based, and immediately usable recipes covering a wide range of MDX calculations and queries. In addition to its cookbook style, which ensures the solutions are presented in a clear step-by-step manner, the explanations are done in great detail, which makes it good learning material for everyone who has experience in MDX and wants to improve. The book is designed in such a way that you can read it chapter by chapter or refer to recipes in no particular order. However, some of the recipes depend on each another. When this is the case, you will be notified. The book is focused on Microsoft SQL Server 2008 R2 Analysis Services, but most of the concepts and explanation are also applicable to previous versions of Microsoft SQL Server Analysis Services. If you are a Microsoft SQL Server Analysis Services developer and want to improve your solutions using MDX, then this book is for you. The book assumes you have a working knowledge of MDX and a basic understanding of dimensional modeling and cube design.
Author/Authors: Piasevoli, Tomislav
Pages: 480 | Published Date: 40764
Category: Data
Over 70 practical recipes to analyze multi-dimensional data in SQL Server 2016 Analysis Services cubes :
This book is for anyone who has been involved in working with multidimensional data. If you are a multidimensional cube developer, a multidimensional database administrator, or a report developer who writes MDX queries to access multidimensional cube, this book will help you. If you are a power cube user or an experienced business analyst, you will also find this book invaluable in your data analysis. This book is for you are interested in doing more data analysis so that the management can make timely and accurate business decisions.
Author/Authors: Piasevoli, Tomislav | Li, Sherry
Pages: 586 | Published Date: 42704
Category: Data
Over 100 recipes to show you how to analyze multidimensional data stored in SSAS 2012 cubes, using high-performance MDX calculations and flexible MDX queries. :
This book is written in a recipe-based style packed full of practical tips and techniques to help you analyse multidimensional data stored in SSAS 2012 cubes. If you need to master MDX queries in SSAS, then this book is for you!If you are a Microsoft SQL Server Analysis Services developer and want to improve your solutions using MDX, then this book is for you. This book is also an essential resource for report developers who need to access the multidimensional cubes through the MDX language. The book assumes you have some basic working knowledge of MDX and a basic understanding of dimensional modelling and cube design.
Author/Authors: Li, Sherry | Piasevoli, Tomislav
Pages: 420 | Published Date: 41512
Category: Data
Install, manage, and customize your own MediaWiki-based site :
This book was written with the beginner in mind. It walks you through step-by-step exercises and makes use of illustrations to show exactly what is going on in each. You will be taken through exercises that not only help you to build a solid, secure wiki, but provide a foundation on which you can build and challenge yourself to learn even more. Throughout the book, you will follow along as a wiki dedicated to free/open source software built from the ground up. If you are a Web Designer, IT Administrator or Executive, or a Programmer and wish to gain a solid foundation in the MediaWiki software application, then this book is for you.
Author/Authors: Orlof, Jeff | Rahman, Mizanur
Pages: 356 | Published Date: 40240
Category: Web Development
Designing attractive skins and templates for your MediaWiki site :
This book takes you step by step through customizing your MediaWiki skin. It is full of practical examples of MediaWiki skinning techniques, and clear explanations of how MediaWiki skinning works. The early chapters go through each element of a MediaWiki design, showing the CSS and PHP tags necessary to customize MediaWiki's appearance. Later chapters look at ways to further enhance your design using extra graphics, JavaScript, AJAX, dynamic CSS, and more. This book is aimed at web designers or wiki administrators who want to customize the look of MediaWiki with custom skins. The reader will already have a MediaWiki installation that they are targeting with their skin. It might be their own installation, or they might be a designer developing a custom look for a client. The book does not cover setting up or using MediaWiki, except features specifically related to skinning. The book assumes that you are familiar with CSS and HTML, but no prior knowledge of PHP is required.
Author/Authors: Carter, Richard
Pages: 248 | Published Date: 39682
Category: Web Development