Master programming in D with a focus on advanced features, best practices, and real-world applications for software engineers.

This course covers Python fundamentals, OOP, and advanced topics like concurrency, preparing you for a career in data science and machine learning.

Explore a range of programming paradigms, including imperative and declarative, procedural, functional, and object-oriented programming.

Once you have learned the foundations of Python, the next step to increase your productivity is learning how to be proficient with a development environment or IDE. This course will help you get started.

Learn how cloud computing works & its important concepts with cloud computing projects in this cloud computing tutorial.

The practical guide to master real world Data science

Linux projects for beginners will help you learn how to download and install Linux Distros and other fundamental Linux concepts using Ubuntu and CentOS as examples.

Introduction to R Programming Online Course, which will help you become a more efficient data miner, analyst and Statistician

canva

Learn the concepts of Property-Based Testing, including writing properties and their required generators.

Learn the concepts of Property-Based Testing, including writing properties and their required generators.

Protect your backend APIs from information exposure and implement throttling (rate limiting) to prevent resource exhaustion with policies in Azure API Management.