delphi programming language

Delphi Programming Language – IDEs Versions, Code, Videos and Tutorials

Delphi Programming Language - IDEs and Tutorials

Muhammad Imran


May 11, 2020

In this blog, i will let you know about the delphi programming ide versions, code, books, videos, tutorials and much more.

delphi programming language

Embarcadero Delphi or simply Delphi is a programming language and software development kit, proprietary of Embarcadero Technologies.

The Delphi language and software development kit is most widely used for the development of Windows applications. However, it is also used to develop web applications, machine learning applications, desktop applications, windows applications, and mobile applications for OS X, iOS, and Android operating systems. It is distributed as part of the professional integrated development environment (IDE) along with the C++ Builder.

What is Delphi Programming Language?

Delphi is a high-level programming language that also supports object-oriented programing. The programming language is able to incorporate the low-level and assembly-level language codes, which enable it to have access to the machine learning as a service hardware.

The greatest strength of Delphi programming language it’s incredibly fast compiling speed, which enables programmers to write large code-based programs that can be run on a limited resources machine. The backward compatibility has always remained an important aspect of emphasis for Delphi development. However, given the integration of compatibility-breaking features with the latest versions of Delphi, the full backward compatibility hasn’t been maintained.

Who was the Founder of Delphi Programming Language?

The Delphi was developed as the successor programming language to Turbo Pascal by Borland Software Corporation. The chief architect of the Delphi development program was also a veteran of the Turbo Pascal language (released back in 1995); Ander Hejlsberg.

The language along with the number of other software products was up for sale by Borland Software Technologies in 2006, as a means to redirect the company to new avenues.

However, the company wasn’t able to find the right buyer for the outright selling of the Delphi, owing to which the Borland Software Technologies decided to push Delphi along with some of their other products to CodeGear – a subsidiary of the Borland Software Technologies.

Then, two years later the company was bought was Embarcadero Technologies, which later was then purchased by Idera in 2015. While Idera does acquire the complete rights of the company, they decided to keep the Embarcadero brand around, which is still around today responsible for the development of Delphi.

Name Origin

The origin of the name “Delphi” is interesting. The name was first proposed by Danny Thrope; lead developer at Borland Software Technologies. Initially, the name was just meant to be temporary for the project which was supposed to replace Turbo Pascal.

The Origin of the name “Delphi” has its roots in the Oracle of Delphi, which is a popular Greek myth of Pythia. And since the Delphi language was to be used for the development of various oracle database applications, the name made perfect sense, as a connector to Oracle.

Now, Borland Software Technologies was adamant to use a more descriptive name for the Delphi; despite being a clever and original choice, and thereby were settled for Borland AppBuilder.

Interestingly, just a short time ago, Novel AppBuilder was already released, and thereby, Borland Software Technologies needed to come up with something different, and thus as the last minute resort they agreed to make Delphi as the official name of the language.

Why Use Delphi Programming Language - Benefits of Delphi

Some of the benefits of Delphi programming language include:

  • Easy to read coding with clear syntax
  • Fast GUI software development with drag and drop mechanism
  • Support SQL databases
  • Support object-oriented programming
  • Support Windows API
  • Adaptable VCL framework
  • The negligible maintenance requirement for computer vision apps

Now, the last point that’s the minimum maintenance requirement for the Delphi apps was one of the main reasons behind the success of the Delphi language. Back in the day, developers were looking for a high-quality toolbox that can be used to develop windows-based desktop applications, where Delphi did deliver successfully. However, one aspect where it outsmarts the other toolboxes is the faster development process. The compiling rate of Delphi was significantly better than the other options available in the market, which at the end of the day turned the tides in favour of the Delphi programming language. No later than the early 2000s, we saw the development world moving towards the dynamic web application techniques; away from the Windows-based applications.

The rapidly progressing development climate overwhelmed the Borland Software Technologies, who failed to keep up with the changing development landscape, and thereby, they resort to selling the Delphi to Embarcadero Technologies in 2008. Now, while the Borland Software Technologies is certainly dead in the development world, their programming language Delphi is still going on with Embarcadero Technologies, who has taken all possible measures to keep the language relevant to the app scene. The company has undertaken many updates and evolutions to Delphi in order to keep up with the customer base and latest technologies.

The Embarcadero technologies have released an update for Delphi every 6 months, since 2016, which shows the commitment of the company to keep up with the evolving development landscape.

Today, Delphi language is undoubtedly one of the most preferred and obvious choices for developers using legacy codes. The language comes with minimal maintenance requirements, which has enabled the Embarcadero Technologies to keep a strong loyal consumer following for a very long-time. Since the biggest consumer segment for Delphi are legacy users, there have been rumours in the industry about the disappearance of Delphi for good, triggering a debate about the language’s royal past.

However, as mentioned above, Embarcadero Technologies continues to throw its back towards the updation and development of Delphi by releasing bi-annual updates since 2016. However, this poses another technical challenge, making it hard for users to migrate to newer versions. The migration from Delphi is even more challenging. There aren’t many qualified and experienced programmers who ca ensure preserving data integrity during the migration to newer versions of Delphi.

Over the decades, Delphi has proven itself as one of the most resilient programming environments, with the ability to transform shape and form in order to meet the evolving development landscape and users’ requirements. However, we would have to see for how long this legacy programming environment would be able to keep up with its agility and continues to meet the newer needs of users. Folio3 has the expertise to cover the sustainable Delphi code needs of businesses in a fast-evolving market.

Delphi Programming IDEs Versions

Delphi remains in a very active development mode since 2016. In fact, the programming environment gets a newer version released every six months, whereas, the Embarcadero Technologies continues to add the support for the new version with every other release as well.

Interestingly, Embarcadero Technologies has also released a comprehensive update roadmap for the Delphi, which includes all possible details and explanation for the expected updates and newer features to be included in the next version of Delphi.

Free Delphi Programming Code Videos and Tutorial

Embarcadero Technologies officially maintains a blog that includes all the news as tutorials for different products from the company.

If you are looking for programming code videos and tutorials specifically for Delphi, you should definitely check out the articles by Pawel Glowacki, who typically writes about the Delphi programming. You can also check out posts by Marco Cantu, with a focus on rapid application development. The blog also contained many roundups of interestingly and detailed posts for the Delphi programming environment.

Some of the other platforms where you may find interesting and insightful Delphi programming videos and tutorials include:

Delphi Basics

The site comes with a variety of interactive video tutorials for Delphi. Most of the tutorials found on the site are meant for beginners. Apart from the interactive video tutorials, you will also find a helpful run time library reference. While, the design of the website may look a bit outdated, it nonetheless contains updated and useful information, especially for beginners looking to start Delphi programming.

The site is produced by Alister Christie. is a highly useful resource for Delphi programming language beginners and contains hundreds of free interactive and instructional videos about basics Delphi programming. The videos found in the site aren’t made as build on each other, rather act more like stand-alone videos; each covering one specific topic. It nonetheless does offer a massive wealth of interactive and useful information.

The used to be a great resource for Delphi learners with highly interactive and useful information for the students. While, the website is no longer live today, you may find the videos of the website over YouTube, which are organized into two playlists including Learn Delphi 7 – Getting started and Delphi 2010 – The basics.

A Beginner’s Guide to Delphi Programming 

It’s a high-value free online course that is intelligently designed to help beginners get started with the Delphi programming language. The course is divided into 18 chapters.

Free Delphi Programming Books and Resources

As a legacy programming language, there is a whole range of highly useful and detailed books you may find for Delphi programming. Below, we have come up with the highly relevant and latest Delphi programming language books, which have gained strong reviews from experts:

Coding in Delphi (2014) 

Writer: Nick Hodges

The book is all about helping beginners to write detailed Delphi codes. The book doesn’t cover many details to discuss the IDE issues, instead, it has kept the focus on writing high-quality Delphi codes.

More Coding in Delphi (2015) 

Writer: Nick Hodges

This may be seen as a continuation of Coding in Delphi, as it builds upon the previous book to help programmers come up with the best Delphi codes.

Delphi Cookbook, 2nd Edition (2016) 

Writer: Daniele Teti

The Delphi Cookbook is more aimed towards professionals with prior coding experience with Delphi programming language. It presents practical information about the programming environment, and help professionals to build cross-platform applications using Delphi.

MVVM in Delphi (2016) 

Writer: John Kouraklis

This is again a book that’s meant for the experienced Delphi developers who are looking for some advanced insights into the programming environment to build applications for Windows systems.

Object Pascal Handbook (2015) 

Writer: Marco Cantu

This is a highly acclaimed Delphi programming language that has received much appreciation from the industry experts.

Find Delphi Programmers in Folio3.Ai

Delphi Folio3 is a premium Delphi development and migration company, offering reliable and integrated Delphi programming services to global businesses. We maintain dedicated Delphi software development teams, working with the latest Delphi development tools to offer fast and reliable services to our clients.

We have a long experience of developing custom Delphi software applications, thanks to our experienced and expert Delphi developers, working as a dedicated team to ensure optimum delivery of all projects. Folio3 has gained a well-established repute as a premium Delphi development agency amongst small and large companies across the USA, UK, Canada, Pakistan, New Zealand, and other countries.


Delphi is a legacy high-level language that’s proprietary of Embarcadero Technology. The programming language is distributed by the company as part of the RAD studio and is primarily used for the development of custom applications for Windows systems, as well as, for all other major mobile and desktop operating systems.

The Delphi is a matured programming environment that has been around in the market for over two decades, and still actively getting updates with new functionalities added on a regular basis.

Is Delphi free or paid?

In essence, the Delphi can be free or paid, depending upon the user requirement. The legacy programming environment does come with a free trial version, which can be downloaded from the official Embarcadero’s website. However, the free version comes with some severe functionalities limitations, which means you may not be able to develop complex applications with the free trial version. Nonetheless, the free version can be used to get started with Delphi programming.

Is Delphi a good programming language for a newbie?

While it may be losing its popularity amongst the new users, Delphi is still a highly relevant and easy to understand language for the beginners, especially those who are looking to get familiarize with the basics of Microsoft Windows Application Development.

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Theano Vs TensorFlow

Theano Vs TensorFlow – A Close Look at the Best Deep Learning Libraries

Theano Vs TensorFlow A Close Look at the Best Deep Learning Libraries

Muhammad Imran


May 11, 2020

Theano Vs TensorFlow

In recent times, there has been an incline of various companies/businesses towards artificial intelligence. Many fields, such as the medical field, have benefitted a lot with artificial intelligence, such as with the advanced cancer diagnosis tools. Thus, it is safe to say that Machine Learning (ML) is a very crucial step for the advancement of various businesses/companies. To cater to this growing need, numerous deep learning libraries have been developed. Some libraries have been around for quite some time, and some have been launched very recently. Torch and Theano have been the oldest ones on the market, and TensorFlow and Caffe are considered to be the latest additions. However, TensorFlow and Theano are considered to be the most used and popular ones. TensorFlow vs. Theano- which one is right for you? Without any further ado, let's discuss these two, along with a few other frameworks.

What is Theano?

Theano, a deep learning library, was developed by Yoshua Bengio at Université de Montréal in 2007. It can be run on both CPU and GPU, hence, providing smooth and efficient operation, and is based and written in Python. Theano is pretty famous with academic researchers, due to it being a deep learning library. It is considered as the grandfather of deep learning libraries. Theano is mostly used in extensive research-based tasks, deep learning tasks, and also for defining, optimizing and evaluating different mathematical operations. Furthermore, Theano provides its users with extensive unit-testing and self-verification. This helps in minimizing many types of errors. It uses a dynamic C code generation, which means that Theano has the ability to evaluate expressions faster. 

Although Theano itself is dead now, the other open-source deep libraries which have been built on top of Theano are still functioning; these include Keras, Lasagne, and Blocks.

What is Tensorflow?

TensorFlow is a comprehensive, general deep learning library that was launched in late 2015. It is a Google open source project which replaced Theano. To date, it is considered to be one of the famous libraries. It is available on Linux, macOS, Windows, Android, and iOS platforms. Apart from being a deep learning library, it has various tools to help support reinforcement learning and numerous other algos. These include voice/sound recognition, text-based applications, image recognition, time series, and video detection. It is based on the languages of Python and C++ and is multi-GPU. TensorFlow comes with a sufficient amount of documentation for installation, along with tutorials, which makes running this framework hassle-free, even for beginners. Companies that have been using TensorFlow include Google, Twitter, Uber, Snapchat, GE Healthcare, PayPal, and Dropbox, just to name a few. Being run by Google means that it will stay around for a while, making it a safe investment.

Theano vs TensorFlow - Key Comparison Factors

The battle of the frameworks- Theano vs. TensorFlow. Which one is better? Let's discuss this.

-Theano has been around since 2007, and TensorFlow has been around since 2017. 

-Theano runs on cross-platform, whereas TensorFlow runs on Linux, macOS, Windows, and Android.

-Theano is written in Python, and TensorFlow is written in C++, Python, CUDA. However, they both provide CUDA support.

-Both the frameworks provide parallel execution.

-They both have trained models.

-TensorFlow has a faster compiling time than Theano, but the execution speed of TensorFlow is slower than Theano.

-Theano provides error messages, but those messages are cryptic.

-Theano is mostly used in carrying out Mathematical operations, whereas TensorFlow is used in voice/sound recognition, text-based applications, image recognition, time series, and video detection.

-The developer of Theano, Yoshua Bengio, had announced in 2017 that Theano would cease after its 1.0 version update, but the libraries built on top of Theano would still be available. On the other hand, TensorFlow is still available in the market. 

Theano vs. TensorFlow is a very vast topic with a lot of technical details attached to it. The basic and the most important salient features of both frameworks have been discussed.

9 Best Deep Learning Libraries/Machine Learning Frameworks in 2020

Apart from Tensor and Theano, there are quite a lot of other frameworks available in the market. Let's discuss a few of them.


Torch is one of the oldest frameworks which provides a wide range of algorithms for deep machine learning. It provides multi-GPU and has Lua as its base language. It is considered to be easy to set up as it has numerous sample codes and tutorials. However, it can be a bit difficult to set it up in CentOS. The platform for Torch is Linux, macOS, Windows, iOS, and Android. Torch also provides the user with helpful error messages. It is used by Facebook, Google, and Twitter, just to name a few. The main uses of Torch are machine learning, signal processing, parallel processing, computer vision, video, audio, image, and networking. Pytorch is a Python version of Torch, which was developed by Facebook in 2017. It was quick to become the machine learning researchers' favorite. It is much more useful for small projects and prototyping. It also supports data parallelism and contains many pre-trained models. 

  1. KERAS

This deep learning library, inspired by Torch, was created by Francois Chollet, a software engineering working at Google. Keras can be used as a high-level Application Programming Interface (API). This framework is considered a good option for beginners since it is ideal for learning and prototyping basic concepts. Furthermore, Keras generates easily readable and succinct codes. 

  1. MXNET

It does not appear to be as widely used at TensorFlow, but this framework is considered to have the potential to have exponential growth in the near future. MXNet works on multiple GPUs with fast context switching. It is considered to have a clean and easily maintainable code. It comes with detailed documentation, which makes it good to use for both beginners and experienced users.

  1. GLUON

This framework can be used to create both simple and complex models. Gluon is based on MXNet and is considered as a good alternative to Keras. It is known to provide flexibility without any compromise on performance.  


Chainer is based in Tokyo, with engineers mostly from the University of Tokyo. It is considered to be faster than other Python-based frameworks. The codes are written in Python on top of CUPY and Numpy libraries. It has better GPU performance than TensorFlow. 

  1. BIGDL

A deep learning library from Apache Stark. It makes it easy to make Spark and BigDL applications. It is known to achieve high performance due to its usage of Intel MKL/Intel MKL-DNN and multi-threaded programming in every Spark task.


Caffe is a general deep learning framework that is based on C++. Yangqing Jia is the creator of Caffe2, who now works at Facebook. This framework is backed by Facebook after Torch. Caffe2 is considered to be lightweight. However, there is no commercial support for it.

  1. CNTK

Computational Network Toolkit (CNTK) is an open-source deep learning framework made by Microsoft. It can be included in Python, C#, or C++ or used through its model language called BrainScript. It is supported by macOS, Android, Linux, and Windows operating systems. The CNTK has both low level and high-level API for building neural networks.


Parallel Distributed Deep Learning is a deep learning framework that was created and is supported by Baidu. Just like most of the deep learning frameworks, it offers a Python-based API.

TensorFlow vs Theano- Which is Better?

TensorFlow vs. Theano is a highly debatable topic. It all depends on the user's preferences and requirements. Although Theano itself is dead, the frameworks built on top of it are still functioning. It would be nearly impossible to get any support from the developers of Theano. Hence, we can easily say that TensorFlow is better than Theano. Due to an increase in the use of Artificial Intelligence by various businesses/companies, deep learning framework developers are striving hard to launch quality frameworks into the market to fulfil the needs of various users and their companies. For each and every user, there is something out there in the market; if not, then there are developers who are offering customized frameworks for your businesses. The efforts of these developers help in solving various business challenges. The market comprises of other frameworks too, apart from just TensorFlow and Theano.


What is Torch machine learning?

Torch is one of the oldest scientific computing framework that puts Graphic Processing Units (GPUs) first, which was developed in Brazil, during the 1990s. It is a scripting language program which was initially written in and offered on the Lua programming language but has now been ported to various other languages, such as Python (Pytorch) and C/C++. Torch provides support and a wide range of algorithms for machine learning. It is efficient and user friendly due to the use of LuaJit, the scripting language, which provides maximum flexibility to the user. Torch uses macOS, Windows, Android, iOS, and Linux as its platform. Since it is one of the oldest open-source machine learning library, it is used by many leading labs, such as Facebook, Google, and Twitter, just to name a few. Furthermore, Torch provides the best packages in machine learning, signal processing, parallel processing, computer vision, video, audio, image, and networking. You can also build arbitrary graphs of neural networks and parallelize them over CPUs and GPUs in the most efficient way possible.

What is Theano used for in machine learning?

Theano was developed by Yoshua Bengio at Université de Montréal in 2007. It is a Python library based deep open-source library, and it can be run on CPU and GPU. It is mostly used in extensive research-based tasks, deep learning tasks, and also for defining, optimizing and evaluating different mathematical operations. Theano calculates the gradient when determining the backpropagation error by deriving an analytical expression. As Theano runs on CPU and GPU, it is much faster than Python itself, providing a much faster and efficient operation. Numerous other open-source deep libraries have been built on top of Theano, such as Keras, Lasagne, and Blocks.

What is better than Tensorflow and Theano?

With an increase in the trend of artificial intelligence, the market has been flooded with numerous deep learning frameworks. Hence, you can easily find a framework that caters the best to your needs and requirements. However, Tensorflow tends to be the most famous deep learning framework today. If you are a beginner and want to figure out how these frameworks work, you can opt for Keras; you can choose Pytorch for research purposes. 

Is Theano dead in 2020?

Theano itself is effectively dead, but the deep learning frameworks built on top of Theano, are still functioning. These include the more user-friendly frameworks- Keras, Lasagne, and Blocks. These three provide high-level frameworks for fast prototyping and model testing. In a statement released by its developer, Yoshua Bengio, on 28th September 2017, he stated that the development of Theano would cease after its 1.0 version update.

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