People's motivations for programming are different - someone wants to start a programming career, while to someone, programming is just a useful addition to skills in another area. There are also those who teach it so they can start an online business, or automate some boring business. Application programming is a very broad term because there are a number of applications for different purposes, so we have applications that run on a local computer (desktop or native) applications such as. Mozzilla Firefox, CCliner, MSWord. On the other hand, we have programs related to the operating system, programs that manage various hardware devices (driwer). Programs that reside on a remote server and are accessed through a client on a local computer (a client program is a program that communicates with a server from a local computer over the Internet) are web applications. Writing programs for communication between various devices that send data to a common platform (Internet of Things-abbreviated IoT) is becoming increasingly popular. Therefore, there are a number of different programming languages used to program applications. One programming language is not suitable for all these numerous applications but for a specific type of application, so we can classify programming languages into several branches: Native(desktop)Application Programming:Even nowadays, when an internet signal is available at almost every turn, there are times when we are not online. For example, on a train, bus or plane, we can run out of internet, and we can use the time we travel to do some of the work. Maybe we are working on a remote construction site where there is no mobile signal? What if we went abroad, did not have WiFi access, and did not want to pay for roaming? These are also situations where we can only finish a job using desktop or native applications. In their daily work, engineers use applications that require great computing power to model, design and simulate different processes. You guessed it, these are desktop applications. Programming language CLanguage C is great if you are still in school, if you are very young and have a lot of time, and if you want to start learning from the root. It was as if you were starting to learn foreign languages with Latin or Indigenous. You will have a broad education and it will still be much easier for you. Still, this is one of the hardest languages, not necessary, and certainly not the happiest choice for a first language, if you haven't had any programming experience so far. Programming language C++He is at the very top of popularity and is highly sought after by the non-stock market. Still, it is quite difficult and again not the best choice for beginners. It is good for programming computer games, memory-intensive desktop applications, consoles and mobile devices JAVAIt has been 20 years since its inception and has seen a surge in popularity over the last 10 years. In the most famous list in terms of the presence of programming languages, it holds a convincing first place for a long time. Language is not one of the easiest to learn, but it is not overly difficult. Programming language C#C # is the primary language for development on Microsoft platforms and services. None Used to create modern web applications using Azure or.NET, but also applications for Windows devices and desktop applications for their own purposes. PythonIt is a general purpose language, but it is also used for web application programming. Python is often said to be one of the easiest languages to learn because of its simple syntax. Python was created in 1991, is easy to learn and has a great library for developing software for scientific purposes, e.g. for the development of "artificial intelligence". Programming trends1. Machine learning and artificial intelligence (AI)
- Increasing application in various industries, from healthcare to finance. - Tools and frameworks like TensorFlow and PyTorch are very popular. 2. Development in the cloud (Cloud Computing) - Increased use of platforms such as AWS, Azure and Google Cloud. - Focus on scalable and flexible applications. 3. Internet of Things (IoT) - Growing need for software that can manage connected devices. - Languages like Python and C are often used. 4. Containerization and microservices - Using tools like Docker and Kubernetes for scalable applications. - Microservice architecture is becoming a standard for complex systems. 5. DevOps - Integration of development and operations for faster software delivery. - Tools like Jenkins, GitLab CI/CD and Ansible are widely used. 6. Development of mobile applications - Frameworks like React Native and Flutter are growing in popularity. - Focus on hybrid applications that work on multiple platforms. 7. Software Security - Increased focus on security due to growing threats. - Practices such as DevSecOps (security integration into DevOps) are on the rise. These trends and languages show how technology evolves and how developers must constantly adapt to new tools and techniques.
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AuthorSlobodan Tršek |