Quantum Computing Unleashed

Quantum computing has long been a futuristic concept, but 2023 is poised to be the year it becomes more tangible. The integration of quantum computing into mainstream IT operations promises unprecedented computational power. Businesses will leverage quantum algorithms for complex problem-solving, encryption, and even artificial intelligence applications. Imagine AI that thinks at the speed of light.

Metaverse Integration

The metaverse, a virtual universe parallel to our physical world, is rapidly gaining momentum. Beyond gaming, businesses are exploring metaverse applications for virtual meetings, immersive training, and e-commerce. Companies are creating metaverse replicas of their physical spaces, allowing customers to explore and interact in novel ways.

Ethical AI

As AI continues to permeate various industries, ethical concerns around its use are becoming increasingly prominent. In 2023, we’ll see a surge in AI ethics initiatives. These will include AI audits, fairness assessments, and the development of AI that adheres to strict ethical guidelines, ensuring that AI is a force for good.

Edge Computing Dominance

Edge computing, which processes data closer to the source rather than relying on distant cloud servers, is set to dominate the IT landscape. This trend will empower real-time processing, reducing latency, and enhancing security. Businesses will invest heavily in edge infrastructure to meet the demands of IoT devices and other latency-sensitive applications.

Biometric Authentication Beyond Fingerprint

While fingerprint authentication is commonplace, 2023 will see the proliferation of alternative biometric authentication methods. Facial recognition, voice recognition, and even behavioral biometrics (like typing patterns) will become standard for secure access to devices and systems.

5G and Beyond

The rollout of 5G networks will continue to expand, ushering in a new era of connectivity. Beyond 5G, research into 6G technology will accelerate. Expect faster internet speeds, lower latency, and connectivity innovations that will enable autonomous vehicles, remote surgeries, and more.

Sustainable IT Practices

Sustainability is no longer just a buzzword. In 2023, businesses will focus on sustainable IT practices, including energy-efficient data centers, green cloud computing, and recycling of electronic waste. The intersection of technology and ecology will shape the IT landscape.

Decentralized Finance (DeFi) Revolution

DeFi, powered by blockchain technology, will continue its disruptive journey. Traditional financial systems will face challenges as decentralized lending, borrowing, and trading platforms gain prominence. Cryptocurrencies and blockchain will become integral to financial operations.

Robotic Process Automation (RPA) Evolution

RPA will evolve beyond rule-based automation to include cognitive capabilities. AI-driven RPA will handle more complex tasks, freeing up human employees for creative and strategic work. Expect virtual colleagues to become commonplace.

HealthTech Advancements

The healthcare industry will witness remarkable technological advancements, from AI-driven diagnostics to telemedicine solutions. Remote patient monitoring and personalized medicine will become standard, improving healthcare access and outcomes.

Immersive Content Creation

Content creation will reach new heights with the integration of virtual and augmented reality. Virtual studios will allow creators to craft immersive experiences, from gaming to virtual tourism, revolutionizing how we consume content.

Cybersecurity Resilience

With the increasing sophistication of cyber threats, cybersecurity will remain a top priority. AI-driven threat detection, zero-trust architectures, and cybersecurity awareness training will be crucial for safeguarding business operations.

SpaceTech Innovation

The commercial space race will accelerate, with private companies driving innovation in satellite technology, space tourism, and asteroid mining. Space-based assets will play a pivotal role in global communication and resource exploration.

Neurotechnology Advancements

Brain-computer interfaces and neurotech applications will make strides in 2023. These technologies will have implications not only for healthcare but also for communication and control of digital devices through thought alone.

Zero-UI Interfaces

Interfaces will become even more intuitive with zero-UI technology. Gestures, gaze tracking, and even brain-computer interfaces will replace traditional input methods, offering a seamless user experience.

As we venture further into the digital age, these IT trends will define the business landscape of 2023 and beyond. Embracing these innovations will not only keep your business ahead of the game but also position it as a leader in the ever-evolving world of technology. The future is beckoning, and it’s a future where those who adapt and innovate will thrive.

The post Embracing the Future: Top IT Trends 2023 to Keep Your Business Ahead of the Game appeared first on IEx-Presso.

Introduction to Crypto Wallet Development

To develop a crypto wallet, businesses and developers need to consider various factors, such as security, user experience, and compatibility with different cryptocurrencies.

Security is one of the most critical factors to consider when developing a crypto wallet. Developers must ensure that the wallet is secure and protects user data and private keys from hackers and cyber threats. Two-factor authentication and biometric authentication are examples of security measures that can be implemented to enhance the security of crypto wallets.

User experience is another crucial factor to consider when developing a crypto wallet. The wallet should be easy to use, with a simple and intuitive interface that allows users to send and receive cryptocurrencies with ease.

Compatibility with different cryptocurrencies is also important. The wallet should support various cryptocurrencies, and developers must ensure that it is compatible with different blockchain platforms.

Overall, developing a crypto wallet requires expertise in blockchain technology, software development, and security. Businesses and developers should consider partnering with experienced blockchain development firms to ensure they create a secure and efficient crypto wallet.

Types of Crypto Wallets

There are several types of crypto wallets available for storing cryptocurrencies, each with its own pros and cons. Some of the most common types of crypto wallets include hardware wallets, software wallets, and paper wallets.

Hardware wallets are physical devices that store cryptocurrencies offline, making them less susceptible to hacking. They are considered the most secure type of crypto wallet but can be expensive and less user-friendly.

Software wallets, on the other hand, are digital programs that can be downloaded on a computer, mobile phone, or tablet. They are easy to use and convenient but are more susceptible to hacking and may not be as secure as hardware wallets.

Paper wallets are a form of cold storage where private keys are printed on paper. They are considered to be the most secure type of wallet as they are not connected to the internet, but they can be easily lost or damaged and are not as convenient to use as other types of wallets.

Understanding the Blockchain Technology

Before diving into crypto wallet development, it is important to have a solid understanding of the underlying technology behind cryptocurrencies, which is blockchain. Blockchain is a decentralized ledger that records every transaction made on the network. Each block in the chain contains a cryptographic hash of the previous block, making it virtually impossible to tamper with the data.

Crypto wallets utilize blockchain technology to store and manage digital assets. When a user sends or receives cryptocurrencies, the transaction is recorded on the blockchain, and the user’s wallet balance is updated accordingly.

Security Measures for Crypto Wallet Development

Security is of utmost importance in crypto wallet development to prevent cases of hacking and theft that can lead to significant losses. To ensure wallet security, developers must implement the following security measures:

Two-factor authentication (2FA): This adds an extra layer of security by requiring users to provide a unique code sent to their mobile phone or email before accessing their wallet.

Multi-signature: This requires multiple signatures before a transaction can be made, reducing the risk of theft by ensuring no single person has complete control over the wallet.

Cold storage: This involves storing the private keys offline in a hardware wallet or paper wallet, which is considered to be the most secure way of storing digital assets.

Features of a User-Friendly Crypto Wallet

A user-friendly crypto wallet should have the following features:

Easy to Use

A crypto wallet should have a user-friendly interface that is easy to use, even for beginners. It should provide clear instructions on how to use its features and functions. This can help ensure that users can access and manage their digital assets with ease and without confusion.

Multicurrency Support

A good crypto wallet should support multiple cryptocurrencies. This provides users with the flexibility to invest in different digital assets.

Accessibility

A crypto wallet should be accessible from a variety of devices, including desktop computers, laptops, tablets, and mobile phones, to ensure that users can manage their digital assets easily and conveniently from any device.

Transaction History

A transaction history feature allows users to keep track of their transactions and monitor their wallet balance.

Steps to Develop a Crypto Wallet

To develop a crypto wallet, there are several steps that need to be followed. The first step is to define the requirements, which includes determining the type of wallet, features, and security measures needed. The second step is to design the wallet, creating an easy-to-use user interface that includes all necessary features. The third step is to develop the wallet, which involves writing the code for the wallet, ensuring its security and functionality. The fourth step is to test the wallet thoroughly, checking its security, functionality, and usability. Finally, after testing, the wallet is deployed, making it available to users and ensuring that it remains secure and functional.

To ensure the success of your crypto wallet development project, it’s important to follow some best practices. These include:

Use Open-Source Libraries: Using open-source libraries can help reduce development time and improve the security of your wallet.

Regularly Update the Wallet: Regularly updating the wallet can help fix any bugs or security vulnerabilities that may be present.

Conduct Regular Security Audits: Regular security audits can help identify any security vulnerabilities and ensure that your wallet is secure.

Implement Two-Factor Authentication: Implementing two-factor authentication adds an extra layer of security to your wallet and helps prevent unauthorized access.

Use Multi-Signature: Multi-signature requires multiple signatures before a transaction can be made, reducing the risk of theft.

Cold Storage: Cold storage involves storing the private keys offline, which is considered to be the most secure way of storing digital assets.

Ensure an Intuitive User Interface: A user-friendly interface with clear instructions can make your wallet more accessible to a wider audience.

Testing and Deployment of Crypto Wallet

That’s correct! Testing is a crucial step in the crypto wallet development process as it ensures that the wallet is secure, reliable, and user-friendly. The wallet must be thoroughly tested for functionality, security, and usability to ensure that it meets the requirements of the project. Once the wallet has been thoroughly tested and any bugs or issues have been fixed, the final step is deployment. Deployment involves making the wallet available to users and ensuring that it is secure and functional in a live environment.

Legal and Regulatory Compliance

Crypto wallet development must comply with legal and regulatory requirements. These requirements vary from country to country and may include data protection, anti-money laundering, and know your customer regulations.

Future of Crypto Wallet Development

The future of crypto wallet development appears promising as more people invest in cryptocurrencies. The growth of the cryptocurrency industry is expected to be driven by the development of new technologies, such as blockchain and decentralized finance.

Conclusion

Crypto wallet development is crucial for individuals interested in investing in cryptocurrencies. A secure and user-friendly wallet is necessary to conveniently store digital assets while ensuring their safety. By following the steps and best practices outlined in this guide, you can develop a wallet that satisfies your requirements and provides a smooth user experience. The future of crypto wallet development seems bright, with an increasing number of individuals investing in cryptocurrencies. The growth of the cryptocurrency industry is expected to be driven by the development of new technologies such as blockchain and decentralized finance.

CTA

If you are interested in developing a crypto wallet for your digital assets, we would be happy to provide a consultation to discuss your needs and how we can assist you in creating a secure and user-friendly wallet. Contact us today to get started.

The post The Ultimate Guide to Crypto Wallet Development: How to Create a Secure and User-Friendly Wallet for Your Digital Assets appeared first on IEx-Presso.

Discover the Basics of Python Programming

Python is an incredibly powerful programming language that is being used in many industries today. It is an open source language, meaning anyone can contribute to the development of Python. Python is an object-oriented language, which means it is designed to help you create programs that are easier to maintain and reuse.

Python is a great choice for people just starting out with programming. It has a very easy-to-understand syntax, which makes it easier for beginners to learn. It also has a lot of libraries and packages that can be used to create complex programs quickly and easily. Additionally, the large number of online tutorials and resources available make it easier to get started with Python.

The first step to learning Python is understanding the basic principles of programming. This includes variables, data types, functions, and control flow. Variables are used to store data, such as numbers or strings. Data types are used to store different types of data, such as integers, floats, or booleans. Functions are blocks of code that can be called upon to perform a task. Control flow allows you to create programs that make decisions based on certain conditions.

Once you understand the basics of programming, you can start exploring more advanced topics in Python. This includes object-oriented programming, which allows you to create objects and classes for better code organization and readability. Additionally, you can learn about modules and packages, which are collections of related code that can be imported into other programs.

Python also has a variety of libraries and frameworks that can be used to create web applications and other software. Popular frameworks include Django, Flask, and Pyramid. Popular libraries include NumPy and SciPy for scientific computing and TensorFlow for machine learning.

Finally, Python has a vibrant community of developers who are always willing to help out newbies with their questions. There are many online forums where you can ask questions and get help from experienced programmers. Additionally, there are many conferences and meetups where you can meet other Python developers and learn more about the language.

Overall, Python is an incredibly powerful language that is easy to learn and use. With the right resources and guidance, you can quickly start creating amazing programs with Python. So why not give it a try?

Learn How to Create Programs Using Python

Learning how to create programs using Python is an important skill to have. Python is a powerful language that can be used to create powerful applications. It is a great language for beginners as it is easy to learn and use.

Python is an interpreted language, which means that the source code written in Python is converted into machine code that can be executed by the computer. This makes it easy to write and debug programs in Python. Python is also an object-oriented language, which means that it allows you to create objects, classes, and functions that can be used in a program.

To get started with learning how to create programs using Python, you will need to install the Python interpreter on your computer. Once the interpreter is installed, you will be able to write and run Python programs on your computer. There are many online tutorials and books available for learning how to create programs using Python.

When you are ready to start creating programs, you will need to decide which version of Python you want to use. Python 3 is the latest version of Python and it includes many new features. If you are just starting out with programming, it is recommended that you use Python 3.

Once you have chosen the version of Python that you want to use, you will need to install an editor. An editor allows you to write and edit your source code. There are many editors available for free online, such as Notepad++, Sublime Text, Atom, and Visual Studio Code. Once you have installed an editor, you can begin writing your program in Python.

The syntax of Python is relatively simple and easy to learn. It has a lot of built-in functions and libraries that allow you to perform complex tasks easily. The syntax of Python also follows the principle of readability, which means that your code should be easy to understand by anyone who reads it.

In order to create more complex programs, you will need to learn how to use libraries and frameworks in Python. Libraries are collections of code written in Python that can be used in your programs. Frameworks are collections of libraries that allow you to quickly create applications with minimal effort. Learning how to use libraries and frameworks will allow you to create powerful applications quickly and easily.

Once you have learned the basics of programming in Python, you can begin exploring more advanced topics such as object-oriented programming, web development, game development, data science, machine learning, and more. With the help of online tutorials and books, you can learn how to create powerful applications using Python quickly and easily.

Develop Your Skills With Python Exercises

Python is a powerful, versatile programming language that can be used to develop a wide variety of applications. It is also a great language to learn and practice your programming skills. Python exercises are a great way to get your feet wet in the language and hone your skills.

Python exercises come in many forms and can range from simple tasks to complex problems. They can involve coding problems, logic puzzles, and even games. No matter what type of exercise you choose, they can all help you learn and practice your Python skills.

When it comes to coding problems, Python exercises can range from the simple to the complex. Simple problems can involve basic data types and operations, while more complex problems may require more advanced concepts such as classes and objects. The great thing about coding problems is that they can be solved with different approaches and levels of difficulty. This allows you to challenge yourself and learn new things about the language.

Logic puzzles are another type of Python exercise that can help you hone your problem-solving skills. Puzzles such as Sudoku, Knapsack, and 8-Queens can help you learn how to think logically and come up with solutions to challenging problems. These puzzles also require you to think outside the box and come up with creative solutions.

Finally, Python exercises can also take the form of games. These games can range from simple text-based adventures to more complex 3D simulations. Games can help you learn how to use the language in different ways and can also be a fun way to practice your skills.

Overall, Python exercises are a great way to learn and practice your programming skills. Whether you’re just getting started or are looking for ways to improve your existing skills, there are plenty of exercises available for every level of experience. So take some time to explore the different types of Python exercises and find one that’s right for you!

Take Your Python Knowledge to the Next Level

Python is one of the most popular programming languages in the world, and it’s an essential skill for aspiring software engineers and developers. But as a language, it can be challenging to learn and master. It’s important to take your Python knowledge to the next level in order to stay competitive in the job market.

One way to do this is to take advantage of online resources. There are a variety of tutorials, guides, and videos available online that can help you learn more about Python and become more proficient in its use. You can also join online forums and chat rooms where experienced Python developers can provide you with advice and guidance.

Another way to take your Python knowledge to the next level is to attend a boot camp or workshop. These intensive programs are designed to help you quickly learn the fundamentals of Python and apply them to real-world problems. Many boot camps also offer additional programming classes that can help you develop more advanced skills.

Finally, you can also consider taking a certification exam. These exams will test your knowledge of Python and provide you with a certification that can be used to demonstrate your proficiency in the language. This can be a great way to show potential employers that you have the skills they’re looking for.

No matter which path you choose, taking your Python knowledge to the next level is essential for staying competitive in today’s job market. With the right resources and dedication, you can become an expert in Python and open up many new opportunities for yourself.

Get Started on Your Python Journey Today!

Python is one of the most popular and powerful programming languages in the world. It’s used to create everything from websites and apps to artificial intelligence and robotics. Whether you’re a beginner or an experienced programmer, you can get started on your Python journey today.

Python is an easy language to learn and use. It’s well-documented, open-source, and has a vibrant online community of developers who are always willing to help newcomers. It also has powerful libraries that make it easy to work with data, create visualizations, and more. All of this makes it a great choice for anyone looking to get started with coding.

The best way to get started with Python is to start writing some code. There are plenty of free tutorials and resources available online, so you don’t need to buy any books or software to get started. You can also find tons of tutorials on YouTube that will take you through the basics step by step.

Once you’ve learned the basics, it’s time to start building something. You could create a simple text-based game, a website, or even a mobile app. There are lots of tutorials available online that can help you get started. If you’re feeling brave, you could even try creating something from scratch!

To really take your Python skills to the next level, it’s worth investing in some additional resources. There are plenty of books and online courses available that will give you a deeper understanding of the language and help you become a better programmer.

Finally, don’t forget to join some Python communities online. This is a great way to stay up-to-date with the latest developments in the language and get help from other developers when you need it. You can also find job postings, hackathons, and other events where you can network with other Python developers.

Starting your Python journey doesn’t have to be intimidating or overwhelming. With the right resources and support network, you can become a proficient Python programmer in no time. So why wait? Get started on your Python journey today!

The post Get Up and Running with Python in No Time appeared first on IEx-Presso.

A novice programmer often has a lot of homework and lots of assignments to complete at college or university. Luckily, there are online resources like call-tracking.org that allow you to hire experts to help you with your programming homework and more.

1. Class Concept

Class is the first core idea in object-oriented programming. A class is an abstract structure that provides two perspectives on real-world objects: its attributes (properties) and methods (the actions it can perform or its behavior).

Employees, for instance, can be represented as a class in object-oriented programming. In this case, the class Employees represents all of the employees, and its properties include surname, first name, address, and date of birth. Operations on employees include changing their salaries, going on leave, retiring, etc.

All class instances are referred to as objects and are created from the Class through the instantiation process. The Class is ultimately a mold or template. Every object is a class instance as a result.

Three unique methods are used during the instantiation of a class, and understanding these methods is crucial.

Constructor

There are three different kinds of builders:

The copy constructor (or copy constructor) takes a single argument of the same type as the object to be created (typically in the form of a constant reference), copies the attributes from the object passed in the argument to the object to be created, and is called by default when an object is created (offered by default during compilation if there is no declared constructor).

If the constructor’s signature matches, the parametric constructor is invoked.

(Get) Accessors and Mutators (set)

These special methods let you access a class’s properties and change them outside, much like an API. They enable the functionalities of the Class to be “called” from the outside.

Without explicitly gaining access to the properties of a class instance, accessors let you retrieve their values from the outside. By preventing its alteration, they secure the property in this way. The mutators provide you the ability to change the value of the properties while verifying that the value you wish to assign to the feature complies with the semantic restrictions placed on the Class.

Destructor

The class instance’s life is ended by this method. It may be called either explicitly or implicitly when the object is erased.

2. Object Concept

The object is the second-most significant concept in object-oriented programming. An object is an instance of a class, as we previously stated. The item resembles a house constructed according to a certain plan in several ways. As long as designers follow this blueprint, all of their homes will be the same.

Technically, an object has three characteristics:

·         a name, address, or reference that clearly identifies the object as having that identity;

·         specifies that each object has a default value for each of its properties (when specified at instantiation). The states of the object are these values;

·         Each object has a set of methods that it can use to carry out any declared actions or behaviours. In OOP, these activities are concretely expressed as methods. Calls to these methods or messages sent by other objects start the potential activities on an object.

3. The Encapsulation Concept

Encapsulation is the third principle of object-oriented programming.

Only the properties of objects are accessible through its methods. Since the methods and attributes that enable altering the objects regardless of their states are contained within the Class, this is possible.

The encapsulation inhibits object alteration outside of its methods and limits direct access to the states. For instance, if you have a Car class and want to set the color property’s value to blue, you must use a method like “define the color” that was put in place by the Class developer. The varied color values can be limited using this technique.

Encapsulation is a system that stops access to or change of items using methods other than those that are suggested. The items’ integrity is ensured by it.

4. The Inheritance Concept

The fourth fundamental idea in object-oriented programming is inheritance. It is an OOP concept that describes how a class can take on traits (such as attributes and methods) from another class.

Classes have parent classes from which their objects can inherit properties. For instance, we may create a Manager class, which is a specialized class of Employee and inherits its properties.

In OOP, inheritance has two key benefits:

·         Reuse: You don’t have to create the same Class each time for each specialized Class;

·         Specialization: A new class reuses the characteristics and methods of a class by adding operations particular to the new Class.

5. Polymorphism concept

Polymorphism is the final fundamental idea in object-oriented programming. If an object-oriented language can recognize an object as an instance of several different classes at once, it is polymorphic. For instance, Java is a polymorphic language.

Conclusion

Since object-oriented programming is the basis of many high-level programming languages, developers should have a firm grasp of it. By applying the core OOP concepts to understand how simple programs work, you can find the root causes of bottlenecks and remove them by developing more inventive code. Coding suites, learning new languages, and a grasp of OOP ideas can all help you improve your skills.

The post 5 Core Ideas in Object-Oriented Programming appeared first on IEx-Presso.

Unlike the first versions of PHP, in which the object-oriented approach has long remained an alternative to the traditional procedural approach, new versions of PHP are almost entirely designed for object-oriented development.

Traditionally, when getting acquainted with any programming language, it is necessary to get acquainted with its advantages and disadvantages.

Advantages of PHP

Web development. To a greater extent, the PHP programming language was created and maintained as a language focused on website development. The language constructs are designed for the convenience of working in the Web environment.

Multiplatform. PHP works on almost all popular operating systems, so there will be no problems when developing and transferring projects.

Free of charge. PHP programming language is completely free. In addition, you do not need to pay for most additional editors, servers and databases with which it works. A significant number of software products will have source code available for study and modification.

Ease of learning. It will not be difficult to learn PHP and start creating ready-made programs, compared to its competitors, such as .NET, Python, Ruby, etc.

Disadvantages of PHP

Lack of a leader. Commercial technologies have, so to speak, their leader, an architect who determines the look and direction of technology development. PHP has no leader, many solutions and designs are a compromise of interest groups and historically formed realities.

Feedback from the past. The PHP programming language is not young, and it has passed a very difficult path of development, which can be characterized by the creation and deletion of keywords, directives, constructs that are quite ambiguous. For example, some constructions seem to exist, but it is not recommended to use them. The same applies to directives that at first glance were supposed to facilitate development, but in practice turned into serious security problems.

Disconnected community. PHP is one of the first technologies for developing web projects, with the help of which more than half of the Internet was created. The development of PHP simultaneously involved a huge number of programmers around the world, which in turn gave rise to a huge number of different approaches, frameworks and incompatible ecosystems. Over time, alternative implementations of the RNG have emerged, resulting in incompatible ecosystems within the RNG, and the community needs to spend considerable effort to create the same libraries within different groups. To some extent, the situation is being addressed by RNR standards, which describe common rules and interfaces to ensure framework interoperability, but this process is still in its early stages, while competing technologies (.NET, Ruby) already have a common platform for all frameworks.

PHP structure

PHP programming language consists of a core and extensions. It is quite difficult to draw a line between the core and extensions, since many extensions are included in the core or distributed as easily installed compiled binary libraries.

PHP code created by a programmer can be divided into the following types:

Components – are PHP libraries that are built using the Composer package manager;

Frameworks – thousands of ready-made assemblies, often from components, with which you can create websites of any complexity.

Ready-made applications – ready-to-use PHP developments. These are CMS content management systems, database management web interfaces (phpMyAdmin).

Related technologies

PHP allows you to quickly develop websites, but additional software and technologies will be required to run it:

Web server. A program that provides interaction between the client and your application using the HTTP protocol. For the most part, Nginx or Apache web server will be enough to operate the website. Installing a web server will not create difficulties, because on the Internet you can easily find its installation on all known platforms. Installing Apache 2.4 web server with PHP 8 module and MariaDB database.

Database server. To store data, database servers are used, of which there are a very large number today. Each individual database deserves a separate book.

Git version control system, which serves to store development history, backup, upload code to the server, organize teamwork. Whether you work alone or in a team – Git has now become the main tool of a modern programmer, no matter what programming language you use.

This list can be continued for a very long time, but it is safe to say that by learning the PHP programming language you will be satisfied with your choice.

The post Quick start in learning the PHP programming language appeared first on IEx-Presso.

In the 1990s, C++ became one of the most widely used general-purpose programming languages.

Features
When creating C++, they tried to maintain compatibility with C. Most C programs will work properly with the C++ compiler. C++ has a syntax based on the C syntax.

The innovations of C++ in comparison with C are

support for object-oriented programming through classes;
support for generic programming through templates;
additions to the standard library;
additional data types;
exception handling;
namespaces;
built-in functions;
operator overloading;
function name overloading;
references and operators for managing freely allocated memory.

In 1998 the international standard of C++ language was ratified: ISO/IEC 14882 “Standard for the C++ Programming Language”. The current version of this standard is ISO/IEC 14882:2003.

Example of the program “Hello, world!”
Below is an example of a simple C++ program that displays the string Hello World on the standard output channel.

include

int main()
{
std::cout << “Hello, world!” << std::endl;
return 0;
}

History of the name
The name “C++” was invented by Rick Mascitti and was first used in December 1983. Earlier, at the development stage, the new language was called “C with classes”. The resulting name comes from the C operator “++” (increasing the value of a variable by one) and the common way of assigning new names to computer programs, which is to add a “+” symbol to the name to indicate improvements. According to Straustrup, “this name indicates the evolutionary nature of C changes”. The expression “C+” was the name of an earlier programming language, not related to C++.

Some C programmers may note that if the expressions x=3; y=x++; are executed, the result will be x=4 and y=3, because x is incremented only after assigning it to y. However, if the second expression is y=++x; then you will get x=4 and y=4. Based on this, we can conclude that it would be more logical to call the language not C++, but ++C. However, both c++ and ++c expressions increase c, and besides, the c++ expression is more common.

Pedants may also note that the introduction of C++ does not change C itself, so the most accurate name would be “C+1”.

Technical overview
In 1998, the C++ language was standardized by the International Organization for Standardization under the number 14882:1998 – C++ Programming Language. Currently, an ISO working group is working on a new version of the standard, codenamed C++09 (formerly known as C++0X), which should be released in 2009.

The 1998 C++ standard consists of two main parts: the language core and the standard library. The C++ standard library incorporated the STL template library, which was developed simultaneously with the standard. Now the name STL is not officially used, but in the circles of C++ programmers this name is used to denote the part of the standard library that contains the definitions of container templates, iterators, algorithms and functionors.

The C++ standard contains a normative reference to the C standard from 1990 and does not independently define those functions of the standard library that are borrowed from the standard C library.

In addition, there are a huge number of C++ libraries that are not included in the standard. Many C++ libraries can be used in C++ programs.

Standardization has defined the C++ programming language, but this name can also hide incomplete, limited pre-standard variants of the language. Initially, the language developed outside the formal framework, spontaneously, as the tasks set before it. The development of the language was accompanied by the development of the Cfront cross-compiler. Innovations in the language were reflected in the change of the cross-compiler version number. These version numbers of the cross-compiler also applied to the language itself, but for the present time we are not talking about the versions of the C++ language.

Standard library
The C++ standard library includes the standard C library with small changes that make it more appropriate for the C++ language. Another large part of the C++ library is based on the Standard Template Library (STL). It provides important tools such as containers (e.g. vectors and lists) and iterators (generic pointers) that provide access to these containers as arrays. In addition, STL allows you to work in a similar way with other types of containers, such as associative lists, stacks, queues.

Using templates, you can write generalized algorithms that can work with any containers or sequences whose members are accessed by iterators.

As well as in C, the capabilities of libraries are activated by using the #include directive to include standard files. In total, 50 such files are defined in the C++ standard.

The post Overview of the C++ programming language appeared first on IEx-Presso.

Python is an easy-to-use, yet full-featured programming language that provides many more tools for structuring and maintaining large programs than shell. On the other hand, it handles errors better than C, and, being a very high-level language, has built-in high-level data types such as flexible arrays and dictionaries, which are time-consuming to implement efficiently in C.

Due to more general data types, Python is applied to a wider range of tasks than Awk and even Perl, at the same time many things in Python are done just as easily.

Python allows you to break programs into modules that can then be used in other programs. Python comes with a large library of standard modules that can be used as the basis for new programs or as examples when learning the language. Standard modules provide tools for working with files, system calls, network connections, and even interfaces to various graphics libraries.

Python is an interpreted language, which saves a significant amount of time usually spent on compilation. The interpreter can be used interactively, which allows you to experiment with the capabilities of the language, write program templates or test functions during bottom-up development. It is also handy as a desktop calculator. Python allows you to write very compact and easy-to-read programs. Programs written in Python are usually much shorter than the equivalent in C or C++ for several reasons:

high-level data types allow you to express complex operations with a single instruction;
grouping of instructions is performed by indentation instead of curly braces;
there is no need to declare variables;

Python is an extensible language: knowledge of C allows you to add new embedded functions or modules to perform critical operations with maximum speed or write an interface to commercial libraries available only in binary form. The Python language interpreter can be embedded in a program written in C and used as an extension or command language for that program. Python is currently used by tens of thousands of programmers worldwide, and the number of people using it is rapidly growing, doubling and tripling every year. Python attracts users for a number of reasons. It is used for program development and allows for much faster development than traditional languages like C, C++ or Java.

This language works equally well on Windows, UNIX, Macintosh, and OS/2, and can be used to easily develop small applications or scripts as well as to deploy large programs. Python offers access to a powerful and easy-to-use set of 29 graphical user interface tools. Traditional machine languages like C and Pascal share a number of characteristics, such as strict typing, basic types, complex (and usually long) loops, and the need for large amounts of code to perform relatively small tasks. Java is fairly new, but shares most of the characteristics included in this list. Programmers familiar with traditional languages will agree that the lack of strict typing makes Python easier to work with.

Python in comparison with other languages
There are many differences between Python and other languages, let’s list the main ones:

Memory management is fully automatic – no need to worry about allocating or freeing memory. There is no threat of an “unsafe reference”. Java is the only language offering such a concept.
Types are associated with objects, not variables. This means that a variable can be assigned a value of any type, and that (for example) an array can contain objects of different types. Traditional languages do not provide this feature.
Operations are usually performed at a higher level of abstraction. This is partly a result of the way the language is written and partly a result of the extensive standard code library that comes with Python.

These and other features of Python make deploying applications extremely fast. The performance of the created application depends on its features. Of course, for a numerical algorithm that performs simple integer arithmetic in a ‘for’ loop, it does not matter what language it is written in. But for an “average” application, the performance increase can be amazing. One drawback of Python, compared to most traditional languages, is that it is not a fully compiled language; instead, it partially translates the program to an internal form of bytecode, and this bytecode is executed by the Python interpreter.

However, in the long run – modern computers have so much unused computing potential that for 90% of applications, performance is related to the choice of language. Java also compiles to bytecode, but currently runs slower than Python in most cases. In addition, it is very easy to combine Python with modules written in C or C++, which can be used to increase the speed of programs in critical areas.

The post What is Python? appeared first on IEx-Presso.

In C and C++, there are widely recognized problematics that programmers have to deal with time after time. This compilation difficulties, the high chance of memory leaks, the process of managing memory manually, the well-known segfaults. Rust’s job is to get around these shortcomings, while increasing performance and security.

What’s special about Rust?
Concise syntax with keywords, similar to C syntax.
A code parser to help avoid memory leaks and multi-threading errors.
Self-control of data location in memory (using pointers).
No garbage collection.
Powerful statistical typing.

History of the language
The language was developed in his spare time by Mozilla contributor Graydon Hore 14 years ago in 2006. He worked on his own for three years, until Mozilla officially got involved in 2009. Rust was officially released in 2010.

The first alpha release of the language took place in 2012. Servo, a web browser engine, was developed in Rust. In 2013, Samsung joined the work on Servo, and as a result, Servo code was ported to the ARM architecture.

Rust 1.0 was released in 2015. In its first year, Rust took bronze in the “Favorite Programming Language” voting on Stack Overflow. In all subsequent years, Rust has taken only first place.

Advantages and disadvantages
Arguments for:

Runs on Unix and Mac with no problems;
there are abstractions that greatly simplify manual memory management;
robust memory handling system that eliminates segmentation errors;
automatic presentation of ways to fix compilation errors;
the compiler contains a builder and package manager, tools for testing and creating documentation;
no pointers can be used in safe code (only references to 100% real objects);
available error descriptions in templates.

Arguments against:

The compiler is too strict in fixing calls to memory;
No typical OOP-style inheritance and classes.
rust pros and cons
Where does Rust fit in?
Rust code conforms to four major concepts in programming: procedural, parallel, functional, and OOP. Therefore, Rust is a versatile language that can be used in many areas. For example:

Programming client applications and web servers;
blockchain;
Creating your own operating system;
Writing programs and applications to monitor systems and servers;
development of general-purpose software;
infrastructure creation;
writing engines for browsers and games.

Software and operating systems
Rust is designed specifically for system development. It has all the memory and vulnerability management features needed to be used to create key programs and operating systems. The only hindrance to this is the lack of support from the hardware, whose manufacturers are used to everyone using C or C++. Here are a few successful implementations:

Multithreaded engine for the Servo browser;
Firecracker hypervisor, developed mostly for serverless architecture;
Redox microkernel OS.

Rust and web applications
Rust has everything you need to develop web applications. Its functionality is suitable for both frontend and backend. For frontend development, you can use Yew, Rust’s React counterpart. Easy and functional server development is available in actix-web, an extremely efficient framework including HTTP/2.0, WebSockets, and TLS. But of course Rust is not limited to Rust, there are many technologies: pencil, conduit, rocket, gotham. Here are examples of projects:

Coursera, an online learning service created by Stanford professors;
file and cloud hosting service Dropbox;
The OpenDNS project, which helps find available DNS servers.

Rust and neural networks
So far, neural networks in Rust are mostly experiments. The language looks pretty appealing to machine learning: low-level memory handling while using high-level abstractions, and the high performance of the language. All of this works on the Rust API and bodes well for its popularity. But so far in the Rust ecosystem, there are almost no 100% proven and safe frameworks for neural network development that can compete with Python libraries.

What’s next for Rust?
For nearly 40 years, C++ has been at the forefront of the industry, maintains that leadership, and is considered the development standard. Rust is a young language that is constantly changing and evolving, trying to address known shortcomings not only of C++, but also other languages.

The post What is written in the rust language appeared first on IEx-Presso.

To provide a formal definition, Kotlin is an object-oriented language with static typing. What does this mean?

Object-oriented languages are languages in which all operations are performed with objects, which are blocks of code into which multiple values can be “stacked”. An object can be any entity with a defined set of properties. For example, a character in an online game or a sticker with SpongeBob in Telegram. All objects are designed in special patterns, which are called classes.

Static typing means that the types of variables are set by the developer before the program is executed. If you declare an integer variable, you can no longer put text in it – the compiler will immediately point out the error. This slows down development at the beginning, but adds reliability.

If you want to know more about typification and its types, read one of our previous articles – it’s clear and easy to understand there.

By the way, the roots of the now international JetBrains are in St. Petersburg. And they named their language after an island in the Gulf of Finland. In addition to hinting at St. Petersburg, this name also emphasizes the connection with Java (Java and Kotlin are both islands).

What you can write in Kotlin
Kotlin can potentially be used wherever Java works, which includes the backend, the web, the desktop, and a bunch of other tasks. As Andrei Breslav, the creator of the language, says, “Kotlin is a language for all platforms.” And there’s a lot of truth to that.

However, every language has its own niche – the area where most programmers use it. Kotlin so far has two of them – a server and mobile development. Although it is increasingly common in other areas – such as science and Data Science.

Let’s look at all areas in order.

Android applications
Until 2017, Java was the official language for Android apps, but then Google announced its mobile OS Kotlin-first:

partly because of a long trial with Oracle over the use of some Java mechanics;
partly because developers liked the new language, started spontaneously writing mobile apps in it, and regularly rubbed the corporation the wrong way: “You’re going to support Kotlin, aren’t you? Well, make it official! It’s good!”

Today, 80% of the most downloaded apps in the Play Market are written in Kotlin, including apps from Netflix, Twitter, Reddit and Google itself.

Server apps
Thanks to its JVM compatibility, Kotlin can run on any server that runs Java. This is why it is often used to create the backend – the part of the systems that runs on the server and is not visible to the average user. For example, Jira cloud services and some Adobe products are already running on Kotlin.

This niche is one of the priorities for the Kotlin team. And despite the popularity of Kotlin in mobile development, JetBrains DevRel teams talk about their language exclusively in the context of server-side development, without mentioning mobile at all.

Web applications (frontend)
In addition to the backend, there’s the frontend – the “frontend” side of the web. These are the different buttons, drop-down menus and windows with which users interact. Almost the entire frontend is written in the same language – JavaScript.

But Kotlin can compile into JavaScript, so you can use this version to write the frontend. That is, it is quite realistic to write the entire web application in it, both the logic and the interface.

Cross-platform mobile apps
Suppose we need to write a mobile app for scooter rentals. It should work equally well on iPhones and Android smartphones.

In this case cross-platform development can help us – it’s when we write the code once and then adapt it to multiple systems. Kotlin has a technology that allows us to do this, called Multiplatform.

Science and big data
If you’ve worked with data science, you probably know about Jupyter Notebook. It’s a development environment that can execute code piece by piece and produce results instantly. It’s often used in machine learning, statistics, and data visualization. Jupyter used to be written only in Python, Ruby and R, but now it’s also available in Kotlin. All you have to do is plug in a couple of libraries, and you can make your own Siri or Alice.

Kotlin vs Java
As we wrote above, Java and Kotlin are functionally compatible languages. They are indeed very similar: both are statically typed, support OOP and run on the JVM. In some development environments their functions and classes can even be mixed. Now let’s see how these languages differ.

The post What is Kotlin appeared first on IEx-Presso.

The easiest way to create an application is on macOS. Working on a mobile application is more convenient on Macbook/iMac. You do not need a new model, a simple Air is well suited for your purposes. In general, it does not matter what kind of device it will be, the main thing is that you can use the latest version of macOS. You can create your program using a virtual macOS machine, but it is quite complicated. You can work on iOS applications and on Objective-OC. Although most often it is used to work with legacy applications. But Swift is best suited for creating a new software product. This language is now actively supported by Apple itself.

Where does the development of mobile applications for iOS begin?
First you need to master the tools with which you plan to develop the application. One of the main ones is the Swift programming language.

For beginners, Swift is very convenient. In it you can write your first program Hello World – the simplest application that is usually created by all beginners in development during the first lesson. It displays a window with your name and greeting. You can easily write it even if you don’t know all the tools of the language.

Thanks to Swift playground in Xcode development, you can start writing code without knowing the features of the system. And on the iPad there is a Swift Playgrounds app – a code editor in which you can work on small programs and games, learn Swift in an interactive tutorial.

IOS applications are written in full-fledged projects, where you can write code and work with a resource, interface, test. And also configure and publish the project.

If you study on your own, then try to apply in practice the knowledge gained from the books and thematic webinars available to you. Thus, the learning process will go much faster. Run code samples – don’t be afraid to experiment.

The main iOS frameworks
After learning the development language, the next step will be to learn how to create a user interface, navigate between screens, receive data over the network and store information in the phone’s memory, master the launch of the program on the simulator and practice finding errors in it. It is important to learn, but do not go too deep into the study of unnecessary technologies.

Be sure to learn the UIKit framework for creating an iOS application interface. It includes windows, labels, gestures, buttons, text fields, drag-and-drop, lists, animations, and much more. To create an application interface, use the graphical editor in Xcode. It will allow you to add the necessary elements to the screen and set the rules for their construction. This does not require layout in the code. This graphical editor is used even by experts, not just beginners.

You will also need Foundation. This is the second most important system framework. With its help, you will work with the network, user data and file system.

Planning.
You may already have an idea for your iOS app. Then, while you are studying system frameworks, you can start working on its development. To do this, it will be a good idea to make yourself a short plan of your further actions:

List the features of your app and choose a few basic ones. The basic properties of the application are important. And also try to add to the list a few features that would distinguish your application from competitors and would be of particular value to the user.
Conduct an analysis of similar apps in the App Store to identify the weaknesses of competitors. And add to your list a few features that will distinguish your application and attract users.
Come up with a design. It is not necessary to master complex programs to create several test layouts. You can just do it in Keynote.
At first, you will have to perform the functions of a designer, analyst, marketer, etc. To make your goal achievable, set yourself a scope of work and a schedule for their implementation. With this approach, you will have more chances to bring what you have started to a logical conclusion and finish creating your application.

The post Development of mobile applications for iOS on Swift appeared first on IEx-Presso.