Programming Languages
- Python: Known for its simplicity and versatility, used in web development, data analysis, machine learning, and more.
- avaScript: Essential for web development, used for both frontend and backend development (Node.js).
- Java: Popular for enterprise-level applications, Android app development, and backend systems.
- C++: Widely used in game development, system/software development, and performance-critical applications.
- C#: Commonly used in game development (Unity), desktop applications, and enterprise software.
- Swift and Objective-C: Used for iOS and macOS app development.
- PHP: Mainly used for server-side scripting in web development.
Web Development
- HTML/CSS: Fundamentals for creating web pages and styling.
- React.js, Angular, Vue.js: Frontend JavaScript frameworks for building dynamic and interactive web applications.
- Django, Flask: Python web frameworks for backend development.
- Express.js: Minimal and flexible Node.js framework for building web applications and APIs.
Cloud Computing:
- Amazon Web Services (AWS): Offering a wide range of cloud computing services including computing power, storage, databases, and more.
- Microsoft Azure: Providing cloud services such as computing, analytics, storage, and networking.
- Google Cloud Platform (GCP): Offering cloud computing services for storage, analytics, machine learning, and more.
- Data Science and Machine Learning:
- TensorFlow, PyTorch: Frameworks for building and training machine learning models.
- Scikit-learn: Simple and efficient tools for data mining and data analysis.
- Pandas, NumPy: Python libraries for data manipulation and analysis.
- Apache Spark: Unified analytics engine for large-scale data processing.
Database Technologies:
- Docker, Kubernetes: Containerization platforms for deploying, managing, and scaling applications.
- Jenkins, GitLab CI/CD: Continuous Integration and Continuous Deployment (CI/CD) tools for automating the software delivery process.
- Ansible, Chef, Puppet: Configuration management tools for automating infrastructure deployment and management.
Mobile Development:
- Swift, Kotlin: Programming languages for iOS and Android app development respectively.
- React Native, Flutter: Frameworks for building cross-platform mobile applications.