Delphi

A Step-By-Step Guide To Cross-Platform App Development

In a world where people are constantly glued to their gadgets, it’s no surprise that businesses are starting to invest more in mobile app development. But with so many different types of devices out there, how can you make sure your app will work on all of them? The answer is cross-platform app development! What is cross-platform app development?  Cross-platform app development is creating software that can be used on multiple platforms. This can be done either by creating separate software versions for each platform or by using a cross-platform development tool that allows the software to be written once and then compiled for each platform.   There are many benefits to developing cross-platform apps, including reaching a wider audience and saving time and resources by only having to create and maintain one codebase. However, some challenges need to be considered, such as ensuring that the software works correctly on all platforms and dealing with any differences in how each platform handles certain features. If you’re thinking about developing a cross-platform app, then check out our step-by-step guide below. We’ll take you through everything you need to know, from choosing the right development tool to testing your app on all devices. RAD Studio – Native and Cross-Platform Development Ecosystem Why develop a cross-platform app? Cross-platform app development has become increasingly popular as more and more businesses look to reach their customers across various devices and platforms. There are several reasons why you might choose to develop a cross-platform app: Reach a wider audience: Developing your app for multiple platforms means that you can reach a more significant number of potential customers. Create Cross-Platform Native Applications with Delphi FireMonkey – Also deploy to Linux system using FMXLinux Cost-effective: Developing a cross-platform app can be more cost-effective than developing separate apps for each platform, as you only need to create one codebase. Build Cross-Platform Native Apps with Delphi FireMonkey Time-saving: Developing a cross-platform app can save you time, as you only need to create one set of code, which can then be used across all platforms. Use Delphi’s award-winning VCL framework for Windows and the FireMonkey (FMX) visual framework for cross-platform responsive UIs and utilize FireMonkey design-time guidelines for Prototype faster with visual lines and enhanced margin and padding support. Moreover, with FireUI’s revolutionary technology you can see what your application’s UI looks like on any device without installing it. Increased flexibility: Cross-platform apps offer increased flexibility, as they can be easily adapted to work on new platforms or devices as they are released. Delphi with FireMonkey framework is the best combination of a programming language and a framework for building cross-platform apps within no time. FireMonkey’s underlying visual control architecture enables multiple presentation implementations per control called ControlTypes in particular, native OS control presentations can be utilised. Furthermore, the underlying architecture is MVC based and provides backwards compatibility to choose at design time between Styled and Platform (OS) specific control types with their native features. By this, you can have smooth scrolling and performance and maintains complete cross-platform fidelity across Windows, macOS, Android, iOS and Linux. If you’re considering developing a cross-platform app, then this guide will give you all the information you need to get started.  What are the different types of cross-platform apps? There are two main types of cross-platform apps: native and […]

Read More

Why You Should Know About Machine Learning and Artificial Intelligence

It is undeniable that technology is rapidly evolving. Those things that are once a concept are now being materialized. We are currently embracing a new digital age where artificial intelligence is no longer a product of various science fiction novels but a real-life technology. In this video, Jim McKeeth is joined by Embarcadero MVP Yilmaz Yoru to tackle everything about Machine Learning and Artificial Intelligence. We will learn how this technology evolved over time, the ide software, programming languages, and libraries that are good for AI and the future of this technology. Things you need to know about artificial intelligence and machine learning Generally, Artificial Intelligence refers to the intelligence exhibited by machines capable of carrying out tasks that usually require human intelligence. It refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. The term may also be applied to any machine that exhibits traits associated with a human mind such as learning and problem-solving. Some of these mental capabilities and functions may also refer to as Artificial General Intelligence or better known as the Strong AI. Machine Learning, on the other hand, is a subset of AI and uses algorithms to learn from data, find patterns in data and make predictions about future events or outcomes. Today, Artificial Intelligence can be applied to many things like chatbots, virtual assistants, autonomous cars, and more. When it comes to Machine Learning and AI development, the first thing you must consider is to pick the right programming language depending on what kind of machine or software you are building. In this video, we will get a list of ideal programming languages that work well with AI and Machine Learning. Some of which include Delphi, C++, C++ Builder, Python, and Java to name a few. We will also learn about different libraries and resources you can use for AI Software development. This includes TensorFlow, OpenCV, Mitov Software Intelligence Lab, and more. Jim McKeeth will also provide demos showing the aforementioned libraries in action using Delphi. The video will also discuss AI Ethics, AI Singularity, Movies and Programs that use AI and Machine learning as main subjects, as well as the things we could expect from these technologies in the future. To learn more about Artificial Intelligence and Machine Learning, feel free to watch the webinar below.

Read More

The Next Big Thing In Analytics And Reporting Tools

The world is becoming increasingly data-driven. Without data, businesses cannot succeed and expand. They may have a stream of data coming from different sources, but it is useless without analytics and reporting tools.  Data is a critical asset for businesses as it helps them make informed business decisions. Plus, data usage drives the success of a business. Which depends on analytics, and the usage of reporting tools. Reporting tools make all the information easier to parse. Without analytics and reporting tools, informed business decisions are hard to imagine. This is where Yellowfin comes into play. Gartner surveyed CIOs for analytics and reporting tools. They asked for their best pick in business’s success. As a response, the highest 24% voted for data analytics. CIOs also believe that data analysis is important to act on data. Which returns invaluable insights.  So, if an enterprise wants to succeed, it must keep up with the latest trends in data analytics. Don’t know where to look? No worries! We have prepared this guide solely for this purpose.  Continue reading to learn about big things in data analytics and reporting tools.  How have analytics and reporting tools advanced recently? 1. Contextual Analytics  Contextual analytics is a chart embedded on the page with the data. It also includes picturing and the related actions for better insights. It embeds dashboards and analytics solutions into a software application’s core workflows. In addition, users get the benefits of analytics directly in the framework. Before contextual analytics, the users had to switch away from their working environments. They did so to investigate data or derive insight. But now, with contextual analytics, the data is delivered to the end-user directly. It is in the user interface and the transaction flow. With one click, users can get instant, guided, and dynamic insights. Which helps them to train and make decisions while working as usual.  The contextual analytic’s goal is to maximize the business benefits. It does so by supporting or triggering actions users take within the app.  2. Augmented Analytics Augmented analytics uses enabling technologies like AI and machine learning. It helps with data preparation, insight explanation, and insight generation.  Its primary purpose is to boost how users explore and analyze data in analytics and BI platforms. It augments the expert and citizen data scientists. It speeds up machine learning, data science, and AI model development. So, augmented analytics is transforming how businesses prepare data. It helps find insights and share the findings from those insights. It will be no surprise if data analytics becomes mainstream. It is one of the next big things in analytics and reporting tools. Thus, data and analytics leaders should not wait and incorporate it now.  3. Automated Analytics Automated analytics detect relevant anomalies, trends, and patterns. Once found, it delivers insights to users in real-time with no manual analysis.  Enabling technologies like machine learning and AI are used to monitor working performance. They also help search large datasets and track user-defined metrics with desired business outcomes. As a result, it produces alerts of specified triggers and delivers analyzed findings.  The main goal of automated analytics is to perform automated analysis. It offers benefits for both software vendors and end-users. It comes with features of fraud detecting and tracking changes in customer behavior. That helps in automated analytics.  […]

Read More

PyTorch for Delphi with the Python Data Sciences Libraries

Last week we look at the Python developer side of the Embarcadero Python Ecosystem with DelphiFMX. This week are are looking at the Delphi (and potentially C++Builder) side of the ecosystem. Embarcadero Open Source Live Stream The next installment takes a look at the new Python Data Sciences Libraries and related projects that make it super easy write Delphi code against Python libraries and easily deploy on Windows, Linux, MacOS, and Android. Specific examples with the Python Natural Language Toolkit and PyTorch, the library that powers projects like Tesla Autopilot, Uber’s Pyro, Hugging Face’s Transformers. This is part of a series of regular live streams discussing the latest in Embarcadero open source projects. Jim McKeeth will be the host, and be joined by members of the community and developers involved in these open source projects, as well as members of Embarcadero and Idera’s Product Management. A great opportunity to see behind the scenes and help shape the future of Embarcadero’s Open Source projects. If you are interested in machine learning, artificial intelligence, or data sciences then you want to join this webinar! Thursday, Jun 9, 2022 10:00 AM CDT Come back to this blog post after the webinar for replay, slides, links and more. New Libraries for Delphi This is an early access sneak peak at these libraries we are still working on. Right now we are working on getting everything working with Delphi, but we plan and expect it to work with C++Builder eventually too. The new libraries we will look at include: Lightweight Python Wrappers – A library making it easy to quickly and easily wrap most any Python library for use in Delphi Python Environments – One of the areas of complication with Python is deploying and setting up Python and all the required libraries. These are components that allow you to quickly and easily setup everything you need for Python. Python Data Sciences Libraries – These make use of the above two libraries to give Delphi developers quick and easy access to some of the more popular Python data sciences libraries like PyTorch, NLTK, TensorFlow, NumPy, etc. All with pure Object Pascal. I really believe these libraries have the potentially to fundamentally change what it means to be a Delphi developer. You will definitely want to be here.

Read More

11 Ways to Fully Revamp Your Low Code Application Platform

In business, a low code application platform describes software that allows users to create or customize applications without writing code. Low Code Application Platform is becoming increasingly popular as companies strive to speed up application development and achieve digital transformation. However, simply using low code alone is not enough to guarantee success. This article will show you 11 ways to completely revamp your low code application platform and make it even more effective! The low code application platform has evolved significantly Over the last few years, there has been a significant shift in software development. Low code development platforms are becoming increasingly popular as they allow developers to create applications without writing large amounts of code. There are many reasons for this shift. Firstly, low code platforms are much faster to develop than traditional platforms. This is because developers can drag and drop various elements to create an application rather than having to write code from scratch. This means that applications can be completed in a fraction of the time they take on a traditional platform. Secondly, low code platforms are much more user-friendly than traditional platforms. This is because they don’t require developers to have a deep understanding of coding languages. This makes them ideal for businesses who want to create their own applications but don’t have the time or resources to invest in training their employees in programming languages and technologies. Finally, low code platforms are much more flexible than traditional platforms. This is because they allow businesses to customize their applications to suit their specific needs easily. This flexibility is critical for companies that want to adapt their applications as their business changes and grows. RAD Studio Over the Years – Get the latest version of RAD Studio 11.1 Alexandria right now! How to get the best out of a low code application platform 1. Out with the old If you’re looking to revamp your low code application platform completely, the first step is getting rid of the old. This means any outdated applications, hardware, or software are no longer used. Getting rid of these things will help declutter your system and make it easier to manage. 2. In with the new Once you’ve gotten rid of the old, it’s time to bring in the new. This includes new applications, hardware, and software that can help improve your system. Be sure to do your research and choose things that will work well with your existing system.  3. Keep it organized After making all of your changes, it’s essential to keep your system organized. This will help you keep track of everything and ensure nothing gets lost. Create a file system or use a project management tool to help you stay on top of things. 4. Test everything Test everything out before launching your new and improved low code application platform. This includes testing applications, hardware, and software to ensure they work together correctly. Once everything is up and running, you can enjoy your new system! Revamp your low code application platform and breathe life into your apps with minimal effort 1. In with the new If you want to revamp your low code application platform completely, the first step is to get rid of the old. That means any outdated software, hardware, or anything else that’s no […]

Read More

Everything You Need To Know About the New RAD Studio 11.1 Alexandria Update

Rad Studio 11.0 Alexandria was strategically released last September, just a month before the release of Windows 11. It provides a great number of features including the High DPI IDE support, VCL Styles in the Form Designer, and Android API 30 support to name a few. Interestingly, a new update was released a few months ago, providing many notable IDE improvements and other new functionalities that are absolutely beneficial to Windows application development. Coinciding the release of RAD Studio 11.1 is a launch webinar hosted by Jim McKeeth and other Embarcadero MVPs such as Marco Cantu, Kyle Wheeler, David Millington, and Stephen Ball. What’s new with RAD Studio 11.1 Alexandria? The primary focus of RAD Studio 11.1 is to enhance all the great features that are already present in the RAD Studio 11. The update also provides a focus on usability, performance, and stability improvements. It also includes some new functionalities, including new database drivers. RAD Studio 11.1 features many IDE Improvements including the extensive High DPI IDE quality and the improved use of the IDE with Remote Desktop. The update also provides improvements in toolbar font sizing, better scaling when dragging windows between different resolution monitors, and additional IDE fix pack integration. It also features improved high DPI designers for both VCL, FireMonkey, and the styled VCL form designer. There are also notable GetIt Library Manager enhancements and other new IDE features such as the Messages View, New Items and Compile Dialog boxes and more. Another significant quality focus area of RAD Studio 11.1 is Code Insight for both languages, Delphi and C++ Builder. There is also a big performance improvement in Delphi LSP Engine. The new update also provides notable improvements with Delphi and C++ Builder’s Compilers and debuggers. It includes additional support for ASLR and an introduction to new Delphi debugging technology based on LLDB. Delphi RTL also had several optimizations and quality improvements in the new RAD Studio update. Additionally, the RAD Studio 11.1 release offers official support to operating systems released after 11.0 shipped: Windows 11, macOS 12 Monterey, iOS 15, and Android 12. In case you missed the recently held RAD Studio 11.1 Alexandria Launch Webinar, feel free to watch the video below.   

Read More

Why Should You Spend More Time Thinking About Cross Platform Development?

In the last few years, cross platform development has taken the front seat. It lets developers write code once and implement it across all platforms.   Native app development requires different code for different platforms. It also requires Android Studio as an IDE and a suitable SDK. However, cross platform development frameworks need a single Codebase. It can compile builds for iOS and Android.  There is no need to develop applications from scratch for all platforms. Developers can save time with a low code platform. There are various tools for this purpose. These include RAD Studio, Delphi, and C++ Builder. These tools help you develop applications faster with one codebase. It works for Android, iOS, Windows, Linux, and macOS. What is cross platform Application development? The term cross platform development is also called hybrid app development. It’s an approach to building apps compatible with different platforms. Developers write code once and reuse it. It lets them release a product quickly.  For cross platform development, use intermediate programming languages. These include HTML, CSS, and JavaScript. These languages are not native to operating systems and devices. Developers package the applications into native containers. Then they integrate them into platforms. There are some fundamental strategies for using cross platform development. These include: Compiling different versions of the same program for different OS. Make a program abstract to accommodate different environments. Use of sub-tree files to fit the product to different operating systems. What is the difference between native and cross platform development? Native applications rely on native technologies. Developers can deploy native technologies to their native devices. Cross platform development offers multi-platform compatibility.  The hassle increased while using native app development. Because you need to build two separate apps for Android and iOS. However, these apps appear similar in functionality. But they need different codebases. It is required to accommodate the need for native app development.  What are the Advantages of using cross platform development? These are some advantages of using cross platform applications. 1. Cross platform development should allow you to reuse the code components Despite using new code for each platform, reuse the same code. It lets developers release products faster across all platforms. It also reduces the effort of doing repetitive tasks. You can develop features for Android and iOS with a single codebase. As a result, cross platform development optimizes efficiency. However, it’s not completely a new concept. But it’s been used in software development for years. The software industry gets benefits from reusing code with this technique. 2. A good cross platform development solution reduces overall cost Businesses are embracing different advanced strategies. But not everyone can afford to build native applications. Mobile apps help businesses deliver a personalized experience. Cross platform development helps businesses reduce the overall cost. They can build applications for distinct platforms efficiently. The approach works great for corporate products that are less profitable. Companies can save costs by developing a universal solution. 3. Implementation with the right apps builder software should be easy There are various tools like RAD Studio offering cross platform solutions. This makes it easier for developers to do adjustments. For instance, tools like RAD Studio offer a single-codebase framework. For instance, you can write code in HTML. And then modify it for different operating systems. It makes the implementation of […]

Read More

The Pros And Cons Of Low Code App Development Platforms

You know a lot about low code app development if you follow us. The beginner’s guide was the initial tutorial/article about low-code platforms. In that article, we have explored and learnt new things about no-code platforms in certain ways. If you have not read that article, here you can see what you can learn from it: No-Code Movement Differences between Low-Code Platforms Why Low-Code Tools Matter? When Should You Not Utilize Low-Code Developer Tools? Low-Code and Traditional Engineering Just check out the article here: Additionally, this article called 20 Fun Facts About The Best Low Code Platforms is helpful to really understand what is happening in the low code app development industry and other facts, for instance: Future of the Low-code Market? How and Where to Apply Low-Code Platforms Facts with Numbers related to Low-Code Industry Top Tech Companies’ Approach to Low-Code Tools and more Here go check out the article here: Now you have the resources to learn about all the necessary things, and directly we can be fully involved in the pros and cons of low-code app development platforms. As per Gartner, the clamour for application development is expanding five times faster than IT’s ability to meet it. Business owners request more web applications, and IT departments struggle to keep up. Since developing apps and software services from the ground up to take time and demands higher engineering, which also costs money, business owners are handing these problems to low-code developers. Low-code app development is fast and pretty much cheaper than traditional software development.  Moreover, Low-code development tools do not require deep coding or complex problem-solving abilities from the developer. These platforms provide you with dozens or hundreds of built-in components and functionalities that you can build service by building blocks. But using low-code or no-code platforms do have its drawbacks. Does low code mean low security? If you apply low-code development tools without IT’s knowledge, you do not know about security-first software. When you create apps with low-code platforms, you do not see any code, and you cannot alter the source code to make the process or transaction more secure. Additionally, you do not know how the source code is produced while you are developing by putting blocks of functions together. Of course, there is always a better ecosystem to develop secure and cross-platform native applications. For instance, Delphi with FireMonkey framework provides traditional and low code software development. The best thing is to mix those and create compelling applications in no time and target multiple platforms with a single code base.  FireMonkey framework is one of the best cross-platform and stable frameworks for any use: Business Apps Game Development 2D & 3D Development Utility applications to talk with hardware-specific functionalities Mobile, Web, and Desktop, all you need is here Huge third-party component pool to optimize the development process Thousands of hours of official workshops by experts to learn It doesn’t matter how stunning the looks are if the user experience is sluggish or unresponsive. On PCs, tablets, and mobile devices, FireMonkey-powered applications take full advantage of today’s hardware with native CPU performance and GPU-powered visuals. Do low code platforms produce solutions more quickly than other alternatives? As we said earlier, a low-code platform provides you with all the available building blocks for you, and you need […]

Read More

How To Use Amazon Polly To Easily Convert Text To Speech In Cross Platform Apps

Sometimes it’s best to say things out loud. Other times reading some text, or the contents of a message are either difficult or might even be impossible if, for example, you or your user have visual impairments. You certainly can’t be silent if you’re narrating a movie. Whatever your purpose, if you need a way to generate speech from text, the latest Appercept AWS SDK for Delphi supports Text-to-Speech (TTS) using Amazon Polly. This great solution works smoothly both for desktop and cross platform apps. What is Amazon Polly? Amazon Polly is a Text-to-Speech cloud service utilising Machine Learning (ML) to provide the most natural human-like voice synthesis. Polly provides various voices for different genders, languages, and ages. Polly supports Speech Synthesis Markup Language (SSML) to give more control and enhance the synthesis. Here is how we say something… program SaySomething; {$APPTYPE CONSOLE} implementation uses AWS.Polly; var Client: IPollyClient; Request: IPollySynthesizeSpeechRequest; Response: IPollySynthesizeSpeechResponse; begin Request := TPollySynthesizeSpeechRequest.Create; Request.OutputFormat := ‘mp3’; Request.Text := ‘Hello, Polly!’; Request.VoiceId := ‘Aria’; Client := TPollyClient.Create; Response := Client.SynthesizeSpeech(Request); if Response.IsSuccessful then begin // Do something with Response.AudioStream end; end. 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 program SaySomething;   {$APPTYPE CONSOLE}   implementation   uses   AWS.Polly;   var   Client: IPollyClient;   Request: IPollySynthesizeSpeechRequest;   Response: IPollySynthesizeSpeechResponse;   begin   Request := TPollySynthesizeSpeechRequest.Create;   Request.OutputFormat := ‘mp3’;   Request.Text := ‘Hello, Polly!’;   Request.VoiceId := ‘Aria’;     Client := TPollyClient.Create;   Response := Client.SynthesizeSpeech(Request);   if Response.IsSuccessful then   begin     // Do something with Response.AudioStream   end; end. To use enable and use SSML, just set the request property TextType to “ssml” and make sure you wrap the value in Text with a “” tag. For example: Request.TextType := ‘ssml’; Request.Text := ‘Hello, Polly!‘; Request.TextType := ‘ssml’; Request.Text := ‘Hello, Polly!‘; How can I use Amazon Polly in my cross platform apps? Why not check out the Polly Speak demo in our AWS SDK for Delphi Samples on GitHub for a complete example. What will you “say” with Delphi and Polly? Why not tell us @ApperceptHQ. About Appercept AWS SDK for Delphi Appercept AWS SDK for Delphi is available exclusively on GetIt with active Enterprise or Architect subscriptions for Embarcadero Delphi or RAD Studio. You can install the SDK through the GetIt Package Manager.

Read More

Cum să utilizați Amazon Polly pentru a converti cu ușurință textul în vorbire în aplicații pe mai multe platforme

Uneori, cel mai bine este să spui lucrurile cu voce tare. Alteori, citirea unui text sau conținutul unui mesaj este fie dificilă, fie chiar imposibilă dacă, de exemplu, dumneavoastră sau utilizatorul dumneavoastră aveți deficiențe de vedere. Cu siguranță nu poți să taci dacă povestești un film. Oricare ar fi scopul dvs., dacă aveți nevoie de o modalitate de a genera vorbire din text, cel mai recent Appercept AWS SDK pentru Delphi acceptă Text-to-Speech (TTS) folosind Amazon Polly . Această soluție excelentă funcționează fără probleme atât pentru aplicații desktop, cât și pentru aplicații multiplatforme . Ce este Amazon Polly? Amazon Polly este un serviciu cloud Text-to-Speech care utilizează Machine Learning (ML) pentru a oferi cea mai naturală sinteză a vocii umană. Polly oferă diverse voci pentru diferite genuri, limbi și vârste. Polly acceptă limbajul de marcare a sintezei vorbirii (SSML) pentru a oferi mai mult control și pentru a îmbunătăți sinteza. Iată cum spunem ceva… program SaySomething; {$APPTYPE CONSOLE} implementation uses AWS.Polly; var Client: IPollyClient; Request: IPollySynthesizeSpeechRequest; Response: IPollySynthesizeSpeechResponse; begin Request := TPollySynthesizeSpeechRequest.Create; Request.OutputFormat := ‘mp3’; Request.Text := ‘Hello, Polly!’; Request.VoiceId := ‘Aria’; Client := TPollyClient.Create; Response := Client.SynthesizeSpeech(Request); if Response.IsSuccessful then begin // Do something with Response.AudioStream end; end. 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 program SaySomething ;   { $ APPTYPE CONSOLE }   implementation   uses   AWS . Polly ;   var   Client : IPollyClient ;   Request : IPollySynthesizeSpeechRequest ;   Response : IPollySynthesizeSpeechResponse ;   begin   Request : = TPollySynthesizeSpeechRequest . Create ;   Request . OutputFormat : = ‘mp3’ ;   Request . Text : = ‘Hello, Polly!’ ;   Request . VoiceId : = ‘Aria’ ;     Client : = TPollyClient . Create ;   Response : = Client . SynthesizeSpeech ( Request ) ;   if Response . IsSuccessful then   begin     // Do something with Response.AudioStream   end ; end . Pentru a utiliza activarea și utilizarea SSML, trebuie doar să setați proprietatea de solicitare TextType la „ssml” și asigurați-vă că includeți valoarea în Text cu o etichetă „”. De exemplu: Request.TextType := ‘ssml’; Request.Text := ‘Hello, Polly!‘; Request . TextType : = ‘ssml’ ; Request . Text : = ‘Hello, Polly!‘ ; Cum pot folosi Amazon Polly în aplicațiile mele pe mai multe platforme? De ce să nu consultați demonstrația Polly Speak din SDK-ul nostru AWS pentru mostre Delphi pe GitHub pentru un exemplu complet. Ce vei „spune” cu Delphi și Polly? De ce să nu ne spui @ApperceptHQ . Despre Appercept AWS SDK pentru Delphi Appercept AWS SDK pentru Delphi este disponibil exclusiv pe GetIt cu abonamente active Enterprise sau Architect pentru Embarcadero Delphi sauRAD Studio . Puteți instala SDK-ul prin GetIt Package Manager.

Read More