Best laptop for computer science students in 2023

Table of contents:

• Want to buy Best Laptops for CS Students?
• Is it better to buy a laptop or a fixed computer?
• Topics in Computer Science

Want to buy Best Laptops for CS Students?

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Would you recommend a MacBook for a computer engineering student?

Absolutely. I had 0 problems throughout university, only for one exam I used a virtual machine with Linux to use a specific programme: Vivado. But I guarantee that if you have a Windows laptop you will resort to Linux many more times.

Of course, now that MacBooks are starting to mount ARM SoCs (the famous Apple Silicon) you might have more compatibility problems. So you might consider getting one with Intel so you won't have any problems in the next five years. Otherwise, I would advise you to look at the curriculum exams to find out if you will need programmes that are only available on x86.

I am looking for a laptop from 600 to 750 euros. Which one would you recommend?

I need it for university, the one I had has abandoned me (not worth fixing). I've been looking for days but I can't find any good computers.

It's very difficult to answer this in general. What do you need? What are you going to do with it for university?

If you're going to do programming you'll need a laptop with enough Ram and a good processor; if you need 3D graphics programmes it should have a dedicated video card (which won't be very powerful at that price, but still better than the card integrated in the processor); if you're going to use it for office programmes you'd better aim for enough ram and a ssd disk (which is extremely useful in other cases too).
Unfortunately, directing you towards a specific notebook is difficult, as prices follow the market trend.

If you want to enter the world of computer science in a serious way, go on to a bachelor's degree (and maybe even a master's) otherwise you are relegated to doing low-level jobs, course or no course. I know ITIS graduates who didn't even know what the computational complexity of an algorithm was, the university explains in detail much more advanced things such as operations research, machine learning, deep learning, search engines, complex algorithms on trees, big data, cyber security, etc... these things can't be learned at a bachelor's course, plus it definitely opens more doors in the world of work.

Is it better to buy a laptop or a fixed computer?

It depends: apart from the substantial differences in performance (a laptop will in 90% of cases cost more than a fixed (assembled) of the same HW specification), there are differences in use.

A laptop has a battery and only one cable to plug in: You use it in bed, as away from home, etc. A laptop if convertible (like the Lenovo Yoga or the HP Envy/Spectre) has a touch screen and pen. A desktop has a dedicated video card and better heat dissipation (if with the right fans it can be quieter under stress).

On the screen side, both can have multiple screens connected (you can buy a tipe-C dongle). In short, it depends... The desktop is stationary, it doesn't move and has more performance/price/temperature. The laptop is, as the name implies, portable and designed for convenience relative to its small size.

Also, the Fixed is modular: you can change and add power supply/case/HDD/SSD/CPU/Motherboard/GPU yourself. The laptop only SSD/HDD/RAM (depending on model)/battery (in the sense of replacing it, not upgrading it).

Topics in Computer Science

If one decides to master the field on one's own, or by attending specialised courses, one will need to understand what it involves. In fact, technological science consists of numerous fields. It is impossible to master all of them at once and in their entirety. So you have to choose your area of work.

Today Computer Science predominantly involves the following:

• programming;
• computer architecture (electronic computer machines);
• algorithms and data structures;
• mathematics for IT and computer science;
• operating systems;
• computer networks;
• databases;
• programming languages and compilers;
• distributed systems;
• graphics;
• artificial intelligence.

To briefly describe the focus areas, these are writing software codifications as well as computer science and mathematics. But the information studied goes beyond the 'standard' school and university curriculum.

Official website: https://hp.com/