Delphi GUI Programming with FireMonkey: Unleash the full potential of the FMX framework to build exciting cross-platform apps with Embarcadero Delphi

Delphi GUI Programming with FireMonkey: Unleash the full potential of the FMX framework to build exciting cross-platform apps with Embarcadero Delphi

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Andrea Magni is an Italian computer engineer (with a degree in artificial intelligence and robotics from the Polytechnic of Milan, 2007) living near Monza. He is a freelancer who has gained 2 decades of experience in the industry as a software developer and consultant. He has trained many development teams to design software architectures and models, acquire knowledge, introduce source and project management tools, and perform troubleshooting. He has been an Embarcadero MVP since 2014 and he runs a technical blog and some OSS projects on GitHub. He regularly takes part in major Delphi conferences, such as EKON and DCC (DE), Embarcadero DelphiCon, PasCon, SDN (NL), Be-Delphi (BE), DAPUG (DK), ITDevCon (IT), DelphiDay (IT, until 2015), DelphiDay (PL), and other events. 

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Expert Delphi: Robust and fast cross-platform application development $4

Expert Delphi: Robust and fast cross-platform application development $4

 

Expert Delphi: Robust and fast cross-platform application development

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Key Features

• A one-stop guide on Delphi to help you build cross-platform apps
• This book covers important concepts such as the FireMonkey library, shows you how to interact with the Internet of Things, and enables you to integrate with Cloud services
• The code is explained in detail with observations on how to create native apps for Ios and Android with a single code base

Book Description

Delphi is the most powerful Object Pascal IDE and component library for cross-platform native app development. It enables building natively compiled, blazingly fast apps for all major platforms including Android, iOS, Windows, Mac, and Linux.

If you want to build server-side applications, create web services, and have clear GUIs for your project, then this book is for you.

The book begins with a basic primer on Delphi helping you get accustomed to the IDE and the Object Pascal language and will then quickly move on to advanced-level concepts. Through this book, we'll help you understand the architecture of applications and will teach you the important concepts of the FireMonkey library, show you how to build server-side services, and enable you to interact with the Internet of Things. Towards the end, you will learn to integrate your app with various web services and deploy them.

By the end of the book, you will be able to build powerful, cross-platform, native apps for iOS and Android with a single code base.

What You Will Learn

• Understand the basics of Delphi and the FireMonkey application platform as well as the specifics of Android and iOS platforms
• Complete complex apps quickly with access to platform features and APIs using a single, easy-to-maintain code base
• Work with local data sources, including embedded SQL databases, REST servers, and Backend-as-a-Service providers
• Take full advantage of mobile hardware capabilities by working with sensors and Internet of Things gadgets and devices
• Integrate with cloud services and data using REST APIs and scalable multi-tier frameworks for outstanding multi-user and social experience
• Architect and deploy powerful mobile back-end services and get super-productive by leveraging Delphi IDE agile functionality
• Get to know the best practices for writing a high-quality, reliable, and maintainable codebase in the Delphi Object Pascal language

About the Author

Pawel Glowacki is Embarcadero's European Technical Lead for Developer Tools. Previously, he spent over 7 years working as a senior consultant and trainer for Delphi within Borland Education Services and CodeGear. In addition to working with Embarcadero customers across the region, he represents Embarcadero internationally as a conference and seminar speaker.

Table of Contents

1. Fasten Your Seat Belt
2. Mind Your Language
3. Packing Up Your Toolbox
4. Playing with FireMonkey
5. FireMonkey in 3D
6. Building User Interfaces with Style
7. Working with Mobile Operating System
8. Extending to the Internet of Things
9. Embedding Databases
10. Integrating with Web Services
11. Building Mobile Backends
12. App Deployment
13. The Road Ahead

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Coding in Delphi by Nick Hodges SALE Price: $14 Buy new: $7

Coding in Delphi by Nick Hodges SALE Price: $14 Buy new: $7

 

Coding in Delphi by Nick Hodges

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About the Author

Coding in Delphi is a programming book by Nick Hodges that covers a variety of powerful Delphi programming features and techniques including:

• Generics
• Interfaces
• Exception handling
• Anonymous methods
• Collections
• RTTI
• Enumerations
• Attributes
• Dependency Injection
• Unit Testing

By learning these features of the programming language, you can write efficient code and make things faster and more reliable. Moreover, these technologies help you grow as an engineer.

Nick Hodges has been a part of the Delphi community from the very beginning. He is an original Delphi 1 beta tester, a former member of TeamB, an Advisory Board member for the annual Borland Conference, a frequent conference speaker, a blogger and author of numerous articles on a wide range of Delphi topics. Nick has a BA in Classical Languages from Carleton College and an MS in Information Technology Management from the Naval Postgraduate School. In his career he has been a busboy, a cook, a caddie, a telemarketer (for which he apologizes), an Office Manager, a high school teacher, a Naval Intelligence officer, a software developer, a product manager, and a software development manager. In addition, he is a former Delphi Product Manager and Delphi R&D Team Manager. He lives with his family in Gilbertsville, PA.

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Modern Data Mining Algorithms in C++ and CUDA C Buy new: $12.00

Modern Data Mining Algorithms in C++ and CUDA C Buy new: $12.00

 

Modern Data Mining Algorithms in C++ and  CUDA C 

Recent Developments in Feature Extraction and Selection Algorithms for  Data Science Buy new: $12.00

 

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Modern Data Mining Algorithms in C++ and CUDA C

Recent Developments in Feature Extraction and Selection Algorithms for Data Science

About this book

As a serious data miner you will often be faced with thousands of candidate features for your prediction or classification application, with most of the features being of little or no value. You’ll know that many of these features may be useful only in combination with certain other features while being practically worthless alone or in combination with most others. Some features may have enormous predictive power, but only within a small, specialized area of the feature space. The problems that plague modern data miners are endless. This book helps you solve this problem by presenting modern feature selection techniques and the code to implement them. Some of these techniques are:

Forward selection component analysis

• Local feature selection
• Linking features and a target with a hidden Markov model
• Improvements on traditional stepwise selection
• Nominal-to-ordinal conversion

All algorithms are intuitively justified and supported by the relevant equations and explanatory material. The author also presents and explains complete, highly commented source code. The example code is in C++ and CUDA C but Python or other code can be substituted; the algorithm is important, not the code that's used to write it.  

You will:

Combine principal component analysis with forward and backward stepwise selection to identify a compact subset of a large collection of variables that captures the maximum possible variation within the entire set.

Identify features that may have predictive power over only a small subset of the feature domain. Such features can be profitably used by modern predictive models but may be missed by other feature selection methods.

Find an underlying hidden Markov model that controls the distributions of feature variables and the target simultaneously. The memory inherent in this method is especially valuable in high-noise applications such as prediction of financial markets.

Improve traditional stepwise selection in three ways: examine a collection of 'best-so-far' feature sets; test candidate features for inclusion with cross validation to automatically and effectively limit model complexity; and at each step estimate the probability that our results so far could be just the product of random good luck. We also estimate the probability that the improvement obtained by adding a new variable could have been just good luck.

Take a potentially valuable nominal variable (a category or class membership) that is unsuitable for input to a prediction model, and assign to each category a sensible numeric value that can be used as a model input.

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Encyclopedia of Medical Immunology Immunodeficiency Diseases

Encyclopedia of Medical Immunology Immunodeficiency Diseases

Encyclopedia of Medical Immunology

 Immunodeficiency Diseases

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About this book

Volume Immunodeficiency Diseases in Springer’s gold-standard reference work on medical immunology focuses on infectious diseases. In tandem with its three counterpart volumes it offers the most wide-ranging and authoritative repository of knowledge on infectious diseases, with readily accessed contributions by the world’s leading authorities on the subject. The encyclopedia covers the material from all angles, with more than 1000 pages of essays on the genetics, physiology, metabolism, pathogenesis and applied microbiology of all known infectious diseases, and includes access to an e-reference work that will include ongoing updates reflecting the latest advances in the field.

An outstanding new resource of immense value to a wide range of medical researchers and practitioners, the encyclopedia features a user-friendly subdivision of diseases according to their affective locus in the human body. The sections cover integumentary, skeletal, respiratory, digestive, urinary, and reproductive transmissible pathogens. This high-profile encyclopedia will be an essential addition to academic libraries worldwide.

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Introducing Delphi ORM: Object Relational Mapping Using TMS Aurelius

Introducing Delphi ORM: Object Relational Mapping Using TMS Aurelius

 

Introducing Delphi ORM: Object Relational Mapping Using TMS Aurelius 

by John Kouraklis

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Discover the fundamental concepts of object-relational mapping (ORM) design, Aurelius’ basic features, and the practical applications of those features. In a series of tasks, you will be exposed to techniques and best practices that make the use of Aurelius easy and efficient. Furthermore, you’ll refine your analytical skills to sharpen your understanding of Delphi (Pascal), helping you write better code along the way.  

Introducing Delphi ORM explains that while database design is difficult, database programming (i.e., manipulating, extracting, filtering, and manipulating data) is even more difficult. ORM frameworks provide a simpler way for you to access and manage data in databases. You’ll see how they offer different levels of abstraction and tools to code data access in a database-agnostic way by introducing a layer between the application and the data access language (SQL, LINQ, and so on).

By the end of the book, you will be confident in using a wide range of Aurelius features to allow you to get started with databases in a very short space of time.

What You Will Learn

• Gain the fundamentals of ORM frameworks and Aurelius for Delphi
• Achieve basic tasks, such as connecting to the database and adding, deleting, and updating records, using Aurelius 
• Employ advanced database queries 
• Use the TAureliusDataSet component 
• Integrate with mobile platforms such as Android and iOS
• Work with the data modeler application

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Preliminary bundles constraint - 32-cycle in particular. You can attempt assembled 64-bit applications in demos.

Preliminary bundles constraint - 32-cycle in particular. You can attempt assembled 64-bit applications in demos.

 

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Trial packages limitation - 32-bit only. You can try compiled 64-bit applications in demos. Description Size File StyleControls VCL v. 5.06 samples with compiled demos, styles, help 115 Mb Download full trial package with samples, help, styles for Delphi and C++Builder XE2 - 11 Alexandria  244 Mb Download trial package with help, samples, styles for Delphi XE2 - 11 Alexandria  117 Mb Download trial package with help, samples, styles for C++ Builder XE2 - 11 Alexandria  131 Mb Download 64-bit compiled demos 37.9 Mb Download High-DPI Demos, which compiled in Delphi 10.3 Rio with new "PerMonitorV2" DPI Awareness option (set "Enable High-DPI" option for Seattle, Berlin and Tokyo versions) 69.8 Mb Download demos with SmartEffects animations 11.2 Mb Download demos with ImageKit (smooth animation and 3D transition effects) 4.42 Mb Download Windows 10, 11 Fluent UI Demos with Acrylic Blur Background 33.9 Mb Download High-DPI Demos, with new features of 10.4 Sydney: support of new High-DPI VCL Styles  and per-control styling (new) 24.7 Mb Download ImageKit VCL v. 1.40 samples with compiled demos, help 16.6 Mb Download full trial package with samples, compiled demos, help, for Delphi and C++Builder XE3 - 11 Alexandria 33.8 Mb Download 64-bit compiled demos 7.83 Mb Download SmartEffects VCL v. 3.30 samples with compiled demos  (including 64-bit compiled demos), help, collection with mask-bitmaps 27.1 Mb Download samples, help, collection with mask-bitmaps; trial package for D5 - 11 Alexandria , CB5 - 11 Alexandria  56.1 Mb Download BusinessSkinForm VCL v. 12.30 samples with compiled demos (including 64-bit compiled demos + SmartEffects and ImageKit (3D effects) demos), some skins, skin editor, help 31.9 Mb Download trial package for Delphi 5 - XE 40.2 Mb Download trial package for C++Builder 5 - XE 61.2 Mb Download trial package for Delphi XE2 - 11 Alexandria  52.7 Mb Download trial package for C++ Builder XE2 - 11 Alexandria  109 Mb Download Collection of skins with Ribbon UI elements + demo  (compressed skins + sources) 11.7 Mb Download Collection of skins (compressed skins + sources) 16.4 Mb Download

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