Computer Science

When I started my career, I saw the future. It was a simple little plastic device with three legs. Inside was a piece of silicon that could be arranged as NPN or PNP. My first steps in higher education involved the study of these amazing — if not magical —…

Data analysts collaborate with others to get some pretty incredible findings from numbers and graphics. Analysts have a wide range of technical instruments at their disposal, including statistics equations, specialist software, and coding languages, to perform their work precisely and effectively. However, it is physically impossible to remember all of…

Load balancing is a technique used in computing to distribute workloads across multiple computing resources, such as servers or processors, in order to optimize resource utilization, maximize throughput, minimize response time, and avoid overloading any single resource. …

When we talk about computers, the internet, the protocols, it's always fascinating, isn't it? At least to me, the level of enthusiasm is something that I always crave. Doing your best is not the answer. Having a network that allows you to be your best is far better. Let's discuss…

In this blog, we will discuss a few popular technologies used to convert your coding skills into a useful project/product. We will also look at a broad overview of different disciplines of computer science like artificial intelligence, software development, cyber security among many others. What is a programming language anyways? Lets forget everything about programming for…

Decorate your code with Python decorators to enhance its functionality, reusability, and aesthetics Introduction to decorators Function decorators Class decorators Decorators with __call__ method Preserving metadata with wraps Creating argumented decorators Creating decorator that work with both function and classes Chaining multiple decorators and their ordering Introduction to decorators In Python, decorators are…

Each data has different importance — Cluster analysis (or clustering) is a data analysis technique that explores and groups a set of vectors (or data points) in such a way that vectors in the same cluster are more similar to one another than to those in other clusters. Clustering algorithms are widely used in numerous applications…

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Python is a quite versatile programming language and is increasingly popular in present-day. Python is easy to learn, has a simple syntax, and the application of Python has a wide range. As a Computer Science Graduate, I feel like the need to study and master Python to be one of…