Best Laptop For Computer Science Students

Which processor to choose?

The cost of the laptop itself largely depends on the level (and cost) of the processor. Therefore, we will not advise you top solutions with a space price tag. In our opinion, you can find a middle ground: for example, AMD RYZEN 5000 series mobile processors.

If they did not revolutionize their segment, then they certainly attracted close attention. Only they offer eight cores for ultra-thin laptops, allowing for compact yet extremely powerful systems for content creators and programmers.

Laptops with the latest AMD processors are able to fully replace desktops, and Ryzen H-series processors are 32% faster than AMD Ryzen Threadripper for desktop PCs. And, of course, such processors provide excellent energy efficiency - it is up to two times higher than that of previous generation chips, and some laptops based on them can work up to 20 hours without recharging.

The flagship of the AMD Ryzen 5000 series is the Ryzen 9 series of processors. The AMD Ryzen 7 5000 series features 8-core processors for gaming, media editing and rendering, offering premium performance in ultra-thin laptops. And AMD Ryzen 5 includes more affordable 6-core processors for gaming, creative, media editing, and streaming.

Inside the lines there is a division into HX, H, HS and U-series. As part of the first series, processors for flagship laptops with increased performance are produced. The H-series is at the heart of productivity and gaming machines, the HS is designed for high performance with low power consumption, and the U-series is mainly used in nimble ultra-thin laptops and 2-in-1 devices.

Reference: best laptop for computer science students

Elite Dragonfly

The company has been offering great laptops for computer science students. This model from HP is no exception. Knowledgeable users can attest to the good performance of the device. This is a lightweight, comfortable and thin convertible laptop that can be folded compactly. At the same time, it has a very small weight - 1 kg, which cannot but attract. Character traits:

• the 8th generation processor is responsible for the power and performance of the model;
• RAM - up to 16 GB, built-in - up to 256 GB (despite the small built-in memory compared to other models, it will be enough to install the necessary applications and create serious projects);
• touch screen 13.3 inches with a resolution of 1920 by 1080 pixels;
• The battery charge lasts up to 10 hours.

Razor Blade Pro 17

An excellent machine that opens up new possibilities for computer science students. Despite the large screen, manufacturers have tried to make the laptop much lighter than its predecessors. He is able to cope with resource-intensive tasks, run several applications, while this does not affect the speed in any way. Main characteristics:

• thin and durable 17-3-inch display with a resolution of 1920 by 1080 pixels, housed in a sleek and durable housing;
• 8-core Intel processor;
• RAM - up to 64 GB, built-in - up to 2000 GB;
• excellent image quality - recognition of up to 16 million colors and shades;
• a capacious battery allows you to work autonomously up to 12 hours;
• comfortable keyboard with backlit each key, which allows you to work comfortably in the dark;
• improved Nvidia graphics contribute to excellent performance.

Read also https://www.dell.com/

Why you should learn computer science

Computer Science explains how computer systems are built, how information is represented, stored and transferred within them, and how they work logically, all of which helps you to program more effectively. With this knowledge, it is possible to apply certain solutions more efficiently, solve more complex problems and avoid mistakes.

There are areas where an understanding of computer science is needed from the very beginning. These are, for instance, system administration or Data Science. The former is directly related to engineering, the latter to mathematics and data science. Without an understanding of CS, you simply cannot learn the theory: it is based on computer science. This also includes low-level programming, which is close to the "iron" part of computers.

Computer Science is the base on which theoretical knowledge is built. With it, one understands what one is doing better, learns faster and grows professionally.