Although numerous computer languages are used for writing computer applications, the computer programming language, C, is the most popular language worldwide. If you are interested in a career in computer programming, it would be wise to start by learning the C programming language.
Since C++ is rather lower level, the language is huge and you will need to handle a lot of complex things such as memory management and more. As such, since it's easy for a coding beginner to go astray when learning C++, we strongly recommend learning C++ with a mentor.
Java Full Stack development involves building web applications using Java for backend (Spring Boot), and frontend technologies like HTML, CSS, JavaScript, and frameworks like React or Angular. It includes working with databases, REST APIs, version control (Git), and deployment tools.
Python is a high-level, versatile programming language known for its simplicity and readability. It’s widely used in web development, data science, automation, AI, and scripting. With libraries like Django, Pandas, NumPy, and TensorFlow.
Web design and development involves creating visually appealing, user-friendly websites. Development brings designs to life using HTML, CSS, JavaScript, Backend uses languages like PHP, Java, or Python to manage DB.
Angular is a frontend framework by Google for building dynamic web apps with TypeScript. It offers powerful tools for UI, routing, and data handling. MongoDB is a NoSQL database that stores data in flexible JSON-like documents, ideal for handling large, unstructured, or rapidly changing data.
React JS is a JavaScript library for building fast, interactive web UIs using reusable components. React Native extends React to build real, native mobile apps for iOS and Android using the same component model.
MEAN (MongoDB, Express.js, Angular, Node.js) and MERN (MongoDB, Express.js, React, Node.js) are full-stack JavaScript frameworks for building dynamic web apps. MongoDB handles data storage, Express.js manages backend logic.
Software testing is the process of evaluating a software application to ensure it meets the required standards and is free of bugs. It includes manual and automated testing methods like unit, integration, system, and acceptance testing. Tools like Selenium, JUnit, and TestNG are commonly used.
Amazon Web Services (AWS) is a cloud platform offering over 200 services, including computing (EC2), storage (S3), databases (RDS, DynamoDB), AI/ML, and DevOps tools. It enables scalable, secure, and cost-effective solutions for hosting websites, applications, and data.
DevOps is a set of practices that combines software development and IT operations to shorten the development lifecycle and deliver high-quality software continuously. It emphasizes automation, collaboration, and monitoring using tools like Git, Jenkins, Docker, Kubernetes, and CI/CD pipelines.
Data science is the field of extracting insights from data using statistics, machine learning, and data analysis. It involves data collection, cleaning, visualization, modeling, and prediction using tools like Python, R, SQL, and libraries like Pandas, NumPy, and Scikit-learn.
Cybersecurity is the practice of protecting systems, networks, and data from digital attacks, unauthorized access, and damage. It includes areas like network security, encryption, ethical hacking, firewalls, and threat detection.
Android app development is the process of creating applications for Android devices using languages like Java or Kotlin. Developers use Android Studio and tools like XML for UI design and Firebase for backend services.
.NET is a Microsoft framework for building applications on Windows, web, and mobile platforms. It supports multiple languages like C#, VB.NET. With tools like Visual Studio, .NET enables rapid development of secure, scalable apps using ASP.NET for web and .NET Core for cross-platform support.
