10 Best Laptop for Data Scientists in 2021

Share on:

Do you find it hard to choose the best laptop for data scientists after looking at a variety of blogs and articles but are still unsure what to choose? If so, you are on the right page as we have researched the 11 best laptops for data scientists in the industry and review them here for you.

Data scientists often have to deal with multiple factors when choosing the best laptop because they have to take into account remote servers, data collection, and data manipulation, in which laptops can sometimes serve as a catalyst.

Brief Overview

Consequently, an advanced system will work more efficiently than one without high-end specifications. Because there won’t be many hardware features in the system. Eventually, it will need to spend time fixing issues like slow system performance every now and then.

How would you rate the specifications of a laptop that will meet your data science needs?

With the introduction of a faster processor, there will be an increased performance level resulting in balanced performance by Intel core processors. Students are likely to be using the software to do most of their computing. Furthermore, Data Scientists use several software tools and applications to analyze data.

Processing power is required by software like Tableau, Terminal, SQL, and Anaconda. The software is a basic component for all data science students, which makes it a requirement for a high-performance system.

In addition to this, these software’s require at least 4GB of RAM in order to function properly. Adding more memory will result in better performance, as memory is a component that needs to be large enough to handle the request.

As a result, if you provide SSD storage rather than HDD, the components inside your Laptop will communicate faster. For data science, laptops will need a better video processor GPU, while CPU, RAM, and storage are also necessary. Consequently, laptop batteries should last at least 9 hours for computing.

I’ve compiled a list of the best laptops with great configurations so that you can make an informed decision. Without wasting time, let us get straight to the list of the top 10 Laptops for data scientists.

Top Picks 

ASUS ROG Strix G17


  • Nvidia GeForce RTX 2070 8GB GDDR6 
  • 9th Gen Intel Core i7-9750h Processor
  • 240Hz 15.6” 1920×1080 IPS Type Display
  • 16GB DDR4 2666MHz RAM
Razer Blade Pro 17 Gaming Laptop.jpg

Razer Blade Pro 17

  • Customizable RGB individual key lighting
  • Biometric security
  • Ultimate connectivity
  • Futureproof design
 2020 Apple MacBook Pro
Apple Macbook Pro
  • Tenth-generation Core i5 processor
  • Brilliant Retina display
  • Backlit Magic Keyboard
  • Touch Bar and Touch ID


Top 10 Laptops for Data Scientists in 2021

  1. Asus ROG Strix Scar III (2019)
  2. Razer Blade Pro 17
  3. Apple 13″ MacBook Air
  4. MSI GS66 Stealth 10SGS-036 15.6
  5. Huawei MateBook X Pro Signature Edition
  6. Asus Vivobook S15 S512 Thin and Light
  7. Acer Swift 3 Thin & Light Laptop
  8. CUK MSI GF65 Thin Gaming Laptop
  9. 2020 Newest Acer Aspire 5 15.6″ FHD 1080P Laptop 
  10. Newest Lenovo Ideapad L340

1. Asus ROG Strix Scar III (2019)


9.7/10 Our Score


  • RAM: ‎16 GB DDR4
  • Weight: 5.67 Pounds
  • Battery: Lithium Polymer batteries required.

Asus Rog Strix III is an amazing laptop that covers all requirements that data scientists need in their daily work and projects. A laptop such as this one can run all of the different software required by data scientists.

As a professional data scientist, you might be searching for the best and most powerful laptop for data scientists out there. Asus ROG STRIX SCAR III is the best laptop for data scientists.

Since this laptop is designed for gaming, there is little issue with its ability to handle applications so this is a good laptop to purchase.

Featuring a powerful Intel Core i7 CPU, it can be clocked up to 4.5 GHz under turbo mode. As for the graphics, Asus puts an NVidia GeForce GTX 2070 GPU inside, which is fast and provides 8 GB of VRAM as well.

The 16GB of memory supports the processor further, which gives you access to additional processing power. Additionally, the SSD storage unit with 1TB provides ultra-fast data processing and rendering.

The user-friendly environment with easy customization options provided by Windows 10 Home from Asus will be a great draw for this product.

Featuring a 15.6-inch screen with a resolution of 1920*1080 pixels and viewing angles that are as sharp as possible, the display on the ROG Strix Scar III is exceptional. There is also a 240Hz refresh rate on the display.

Even though these laptops provide extra functionality and speed, the power consumption is still low. In other words, this laptop is ideally suited to data scientists who are concerned about overheating. The self-cleaning technology makes it even more desirable.

You will get Type-C USB ports as well as three Type-A USB 3.0 ports and a headphone jack on the left side of the system, as well as a DisplayPort 1.4 port, an HDMI 2.0B port, and an RJ45 port on the right.

Only 6 hours of battery backup is somewhat underwhelming, even with intelligent cooling. No doubt this laptop is expensive but it is the best laptop for data scientists.

Buyers Guide:

According to our experience, this laptop is best for you. You will get extraordinary performance from this laptop, it is the best choice for you. It runs applications such as Tableau, Anaconda, and Terminal without any issues, making it an excellent laptop for a data scientist.

  • A responsive keyboard
  • Speaker with good manners
  • Performance optimization of CPUs
  • Outstanding RAM performance
  • Battery life is below average
  • Thunderbolt 3 is not available

2. Razer Blade Pro 17

Razer Blade Pro 17
9.3/10 Our Score


  • RAM: 16 GB DDR4
  • Weight: 6.06 Pounds 
  • Battery: Lithium Polymer batteries required.

Razer Blade Pro 17 is such a stunning laptop that covers all requirements for data scientists. Razer Blade Pro 17 can run all of the different software required by data scientists.


Razer Blade Pro 17 is the ideal device if you are working in the data science field; its large display and a range of other features make it a great choice.

This laptop has amazing and astonishing features, that we discussed below: all these features described on experienced-based from us and customers. 

A powerful Intel i7 processor makes the Razer Blade Pro 17 perfect for data scientists. Hence, data modeling can be done faster and even heavy applications like Anaconda can be supported.

In addition, the GeForce GTX 2060 GPU comes with 6 GB of effective Video RAM, making it an ideal choice for deep learning and analysis. CPU is the main part of the laptop so, it must be good from each and every angle.

All hardware features, including memory, were not compromised in the creation of this device. Furthermore, it has 16GB of RAM, which boosts its processor even more. Additionally, the SSD storage unit offers 512GB of speed.

The operating system is Windows 10 through running terminal applications on Linux Ubuntu can also be done easily. Due to the fact that LINUX was designed specifically for terminal applications.

Since data scientists mainly work with spreadsheets, they require a device with a 17.3 inches display so that they can work on the diverse worksheets.

I believe a 17.3-inch 1080p panel will be more than adequate for the task at hand. Besides thin bezels and a 144Hz refresh rate, the screen has all the other specifications you might expect.

The device offers exceptional performance in terms of connectivity and port management, with USB 3.2 and Thunderbolt 3 ports in addition to Wireless and Bluetooth capabilities.

Considering the battery backup is only eight hours, there is definitely room for improvement. I find it to be an exceptional device that can be used by both students and professionals trying to develop their skills in data science. If you like this laptop then you will also like Best Laptops for English Majors.

Buyers Guide:

According to our experience, this laptop has also many features like the above one, You will be never disappointed after purchasing this laptop because 16 GB DDR4 provides you an astonishing performance. This laptop has a low price as compared to the above laptop, if you don’t want to spend too much money then this best laptop for data scientists. 

  • A sleek and slim design
  • The processor is highly efficient and powerful
  • The responsive processor
  • Transferring data quickly
  • A bit expensive 


Comparison Table

Asus ROG Strix Scar III


RAM: ‎16 GB DDR4

Weight: 5.67 Pounds

Battery: Lithium Polymer batteries included.

  • Benefits: Price is very high as compared to razer blade pro 17.
Check on Amazon
Razer Blade Pro 17
Razer Blade pro 17



Weight: 6.06 Pounds 

Battery: Lithium Polymer batteries required.

  • Benefits: Price is very low as compared to Asus ROG Strix Scar III.
Check on Amazon

Comparison Video

3. Apple 13″ MacBook Pro

2020 Apple MacBook Pro
9.4/10 Our Score


  • RAM: 16 GB DDR4
  • Weight: 3.01 Pounds 
  • Battery: Lithium Polymer batteries included.

Tenth-generation quad-core Intel Core i5 processor. Brilliant Retina. display with True Tone technology. Backlit Magic Keyboard. Touch. Bar and Touch ID. Intel Iris Plus Graphic


You should choose Apple 13 MacBook Air if you’re looking for a laptop that fits into the mid-range laptop range. Data science novices will love this laptop, but pros may be disappointed by its lackluster performance.

With this device, you will find an Intel Core i5 processor that can operate up to 3.9GHz. In addition, the integrated Iris plus 645 GPU provides good performance, but it does not hold up well against data modeling for graphics-intensive applications

A 13-inch MacBook Air from Apple comes with 8 GB of RAM. This is quite handy for data processing and modifying. Further, the 512GB SSD unit renders data at least forty times faster than a conventional hard drive.

By using the boot camp functionality, it is still able to run Mac OS X despite having a Mac OS X base. With Mac OS, this will provide an unprecedented level of security.

With regards to the display, a bright 13.3-inch screen with the technology of retina display and a resolution of 2560 x 1600 pixels will be more than capable of providing extra vivid images with wide viewing angles.

With this system, you can work uninterrupted for 10 hours with its battery backup. The device is nearly ideal for students, as well as professionals, studying data science. This device offers a multitude of ports including two USB Type-C ports and more such as Native DisplayPort, Native VGA, HDMI, and Thunderbolt 2 outputs via adapters.

It is made of aluminum and measures 15.6mm thick, which gives it the appearance of being extremely sleek. For data science, the weight of the device is around 3.2 pounds, which makes it rather handy. This is another amazing best laptop for data scientists. 

Buyers Guide:

Because this laptop is lighter but extra efficient, it is without a doubt one of the top laptops for data scientists. From all perspectives, this laptop is perfect for data science because of its high CPU performance, long battery life, and small weight.

  • A scissor-switch is a traditional switch
  • More space for the trackpad
  • Several color options are available
  • Unmatched CPU performance
  • The price is high
  • And the quality of the webcam is poor

4. MSI GS66 Stealth 10SGS-036 15.6

MSI GS66 Stealth 10SGS-036 15.6
9.1/10 Our Score


  • RAM: 32 GB SSD 16*2 GB DDR4
  • Weight: 4.63 Pounds 
  • Battery: Last long battery.

15. 6″ FHD, Anti-Glare Wide View Angle 300Hz 3ms NVIDIA GeForce RTX2080 Super Max-Q 8G GDDR6. Core i7-10750H 2.6 – 5.0GHz Intel Wi-Fi 6 AX201(2*2 ax).


Despite being designed primarily for gaming purposes, this laptop is fully equipped for data science applications. It is therefore worth buying this device if you are a data science expert.

There are 512 gigabytes of SSD storage and 32 gigabytes of memory, which is quite enough to support all kinds of heavy software, such as Anaconda for example, and the rest of the same line for data manipulation.

As the 2.6 GHz Core i7 processor is paired with an Nvidia GeForce GTX 2060 GPU with 6 GB of VRAM, the unit can communicate data faster between internal components by allowing high bandwidth.

In spite of its 15.6-inch display, the laptop is powered by a 1920 x 1080 resolution and a refresh rate of 144 Hz. As a result, images are bright, crisp, and have a wide viewing angle. The display is great since it eliminates glare, but the color quality can be inconsistent.

Even with it being slimy, the Surface Book comes with a multitude of ports like a USB Gen 3.2 Type-C port, USB 3.1 Type-A port, an Ethernet port, headset jack, Thunderbolt 3 port, full HDMI port, and an AC plug.

Though it is only 4.6 pounds, nothing has been compromised when it comes to quality or size, even when it has been slenderized. As compared to the rest of the hardware features, the battery life is below average, but still can be improved by making some adjustments

Buyers Guide:

Overall, the MSI GS 66 offers a serious and top-of-the-line data analysis and manipulation experience. Therefore, due to its lightweight and ultra-thin chassis, this laptop is a good choice for data scientists as well.

  • SSD with agile deployment
  • It is light-weight
  • A powerful graphics package
  • Batteries that last long
  • Quite expensive
  • The sound quality is poor

5. Huawei MateBook X Pro Signature Edition

Huawei MateBook X Pro
8.9/10 Our Score


  • RAM: 16GB DDR4
  • Weight: 4.63 Pounds 
  • Battery: Last long battery

World’s First FullView Display: Immersive 13.9-inch 3K touchscreen with 91% screen-to-body ratio, only 0.57-inch thin and weighs only 2.93 lbs., perfect for at-home or on-the-go computing.


Matebook series has drawn attention due to its outstanding design. There are not many laptops produced by the company. In addition to being well designed, portable, and long-lasting, the ones they manufacture stand out from others. The following are a few basic and important specifications of Huawei MateBook X Pro Signature Edition that will definitely help data scientists

Intel’s 8th Generation Core i7-8565U processor meets the highest requirements for doing high-speed data processing and is powered by Intel HD Graphics 620, making it easy to use our Anaconda platform to process data models more quickly.

The screen ratio is 91% and the screen size is 13.9 inches. It comes with a 3000 x 2000 resolution, making it ideal for viewing. The angles are quite vivid and sharp.

Unlike the Huawei MateBook X, Windows 10 Home comes installed on the Huawei MateBook X, making it capable of operating on less memory. With options such as USB Type-C, Headphones, Thunderbolt 3, and USB 3.0, it’s perfect for data scientists. Furthermore, it has a battery life of nine hours and fifty minutes, which is quite adequate to be more productive for a data scientist.

There is storage included, allowing for freedom of movement for data scientists. The Laptop is equipped with 16 GB of RAM and 512 GB of SSD storage for fast data processing and communication. Additionally, since SSDs are based on solid-state drives, users can expect a fast and efficient processing system

Due to its slimness, it is quite handy for data scientists, as it is quite portable and can be taken anywhere. It weighs 2.93 pounds, making it very portable.

Buyers Guide:

This MacBook Pro still has all the features of the MacBook, yet it is more affordable than the MacBook Pro. This laptop hits the sweet spot between power, portability, and price.

  • The design is absolutely gorgeous
  • Batteries that last a long time
  • Astonishing 32 GB SSD and 16*2 RAM DDR4
  • Vivid and bright display
  • Slots for SD cards aren’t present
  • The CPU is unable to sustain its turbo speed

6. Asus Vivobook S15 S512 Thin and Light

Asus Vivobook S15 S512 Thin and Light
8.7/10 Our Score


  • RAM: 8GB DDR4
  • Weight: 3.97 Pounds 
  • Battery: Lithium Polymer batteries included.

15.6 inch Full HD NanoEdge bezel display with stunning 86% screen-to-body ratio. Powerful Intel Core i5-10210U Processor (6M Cache, up to 4.2 GHz). 8GB DDR4 RAM and 512GB PCIe SSD and Windows 10 Home.


Other laptops in the same price range cannot match ASUS Vivobook s15’s size, features, and shape. Aside from being a bit different from the average laptop, it has numerous features that make it worthwhile.

There is a 15.6-inch display with a combination of 1080p resolution on the Vivobook S15. This is unfortunate because the slim bezels of the S15 are an effective tool for highlighting that large display.

With the Kaby Lake Core i7-7500U CPU coupled with the Nvidia GTX 940MX 2 GB GDDR5 GPU, it will both process data quickly and efficiently and will run smoothly in harsh conditions as well.

One of its most magical features is its dual storage, which comes with a 128GB SSD plus a 500GB HDD providing ample storage space to handle huge files, without transferring them to cloud services. In addition, it features 8GB of DDR4 memory for multitasking Adequate high-bandwidth RAM for running multiple applications and web browsing at the same time

This laptop comes with Windows 10 thus giving free hand to data scientists to customize the desktop environment according to their desire and need.

There is very little weight to be concerned about when bringing it to offsite locations to perform computations and processing on large amounts of data.

With a reversible USB Type C port, HDMI port, a microSD card reader, and USB 2.0 and 3.1 ports, the Vivobook S15 can be connected to most peripheral devices, displays, and projects without any problems.

Although most computations are performed on the screen and do not use the battery, the laptop has an 8-hour battery life, which should be sufficient for most off-site applications that researchers have to do from the office; sometimes they have to carry their laptops offsite.

Buyers Guide:

In addition to unique colors and an innovative design, ASUS Vivobook S15 is a good color display device. There is no doubt that this is the best laptop for data science if its battery life is good.

Although it is not the best choice for data science, it is one of the best if one can negotiate its battery factor.

  • An affordable price
  • An excellent performance
  • Constructed with sturdy materials
  • 8 GB RAM that’s meet requirement level
  • Batteries that last for less than average
  • IPS panel with a washed-out appearance

7. Acer Swift 3 Thin & Light Laptop

Acer Swift 3 Thin & Light Laptop
8.6/10 Our Score


  • Weight: 2.65 Pounds 
  • Battery: Lithium Polymer batteries included.

Processor: Intel Core i7-9750H Six-Core Processor (12MB Cache, 2.6GHz-4.5GHz) 45W. RAM: 32GB DDR4 2666MHz | Hard Drive: 2TB NVMe Solid State Drive


AMD’s Ryzen 4000 processor powers the Acer Swift 3. There is no comparison between these AMD processors and the Intel CPUs that dominate the market today. The 14-inch Swift 3 isn’t simply amazing just because it has an extra-efficient processor. Let’s begin by finding out what else there is to know.

In the data science field, in which data science professionals deal with the bulk of data daily, Acer Swift comes with a Ryzen 4000 processor that provides highly efficient processing of data. Because of this, the CPU performance is unimaginably good.

SSD drives offer 512 GB of storage, while DDR4 RAM offers 8 GB of memory. This combo is quite sufficient to handle heavy data science software.

As a result of the bigger screen, the HD display with more vibrant colors and a wider viewing angle is more spacious. Also, the resolution value is 1920×1080, which may not be the best on the market, but is sufficient for most purposes for which data scientists are responsible.

With this laptop, data scientists will have full control over their desktop environment, allowing them to customize it the way they want.

Despite weighing mere 2.65 pounds, it feels highly portable without being fragile. There is also an HDMI port, headphone/mic jack, USB 2.0, USB 3.0, and a USB-C Thunderbolt 3 port, but there is no SD card reader.

A modest battery saver profile and balanced power profile allow the system to run for up to eight hours, which is almost the time it takes for an average system to charge.

Buyers Guide:

Acer Swift 3 is the latest Ultrabook if you need to do data manipulation work, thin design, strong battery life, and decent battery life make it a terrific laptop for data scientists.

  • This laptop is affordable
  • Low Temperature
  • Good Performance
  •  Weight is low 

  • Expandable memory is not available

8. CUK MSI GF65 Thin Gaming Laptop

CUK MSI GF65 Thin Gaming Laptop
8.4/10 Our Score


  • RAM: 32GB DDR4
  • Weight: 4.1 Pounds 
  • Battery: Lithium Polymer batteries included.

Keyboard: Single Backlight with Anti-Ghost Key + Silver Lining | Operating System: Windows 10 Home x64 Graphics: NVIDIA GeForce GTX 1660 Ti 6GB GDDR6 | Display: 15.6″ Full HD 120Hz IPS-Level Thin Bezel Display (1920 x 1080)


CUK MSI GF65 thin’s technical specifications demonstrate it is a capable Laptop capable of doing a great deal of heavy computational work that is related to data science more easily than an average system.

The laptop has a display measuring 15.6 inches and a resolution of 1920*1080, presenting images that are vibrant and sharp. CUK MSI GF65 Thin Gaming Laptop is an excellent laptop for data scientists since most of them have to work with spreadsheets software. So they have to consider it if they need more workspace to work on the various spreadsheets.

In addition to the Intel Core i7-9750H Processor, NVIDIA GeForce GTX 1660 graphics chip is not only adequate to handle the heaviest software used in the data science field but can also perform video and photo editing as well as other daily tasks with ease.

Among its greatest features is its primary memory which is 32 gigabytes, making it powerful enough to handle most data science tasks including computation, analysis, and can do larger spreadsheets.

With 32 GB of RAM, as well as 2 TB of NVMe SSD storage, there is plenty of space to store not only scientific data, but also data, documents, and other information instead of storing them in the cloud. It has only a few ports, which are 2 USB 2.0 ports, 2 Type-A USB 2.0 ports, one 3.5 mm combo jack, and one HDMI port. With 4.1 pounds, this laptop is not too heavy to carry around. It comes with Windows 10 on an entry-level model.

If we use the laptop for the whole day continuously, we can expect the battery to last about 6 hours on a full charge, but if heavy software is used continuously, it will last no more than 2 hours, which is seriously the laptop’s worst performance.

Buyers Guide:

Overall CUK MSI GF65 Thin Gaming Laptop can be one of the best laptops for data scientists as being rich in features it can assist data scientists to use most of the heavy software and to be more productive. If a data scientist has to work from the office then this laptop can be only and top the best laptop for data science as this laptop is highly specified except for the battery.

  • Sharp and elegant design
  • High quality 180-degree angle display
  • Stunning RAM that is 32GB
  • Portable build
  • Battery life is not so good

9. Newest Acer Aspire 5 15.6″ FHD 1080P Laptop 

Newest Acer Aspire 5 15.6″
8.2/10 Our Score


  • RAM: 8GB DDR4
  • Weight: 4.85 Pounds 
  • Battery Life: 6 hours.

This laptop is actually built for gaming purposes there is hard, in fact no application which this laptop cannot handle so this laptop is one to purchase.


This 2020 Newest Acer Aspire 5 15.6′′ FHD 1080P Laptop is the ideal notebook for professional data scientists looking for the best performance.

The laptop has been built specifically for gaming, so if you are looking for a laptop to play games, then this is the one to buy.

In its modest battery saver mode, it offers 6 hours of runtime, but it also offers a full 8 hours of runtime using a balanced power profile, which is almost the battery life of any device.

Data scientists will benefit from Razer Blade Pro 17’s Intel i5 processor, which offers a processing power of nearly twice that of the MacBook Pro. It also supports heavy applications with Anaconda, which allows for faster data modeling.

Among the many other capabilities it possesses, 8 gigabytes of RAM gives the device a lot of power while handling many data-related tasks including computation, analysis, and even handling some large spreadsheet tasks.

An 8-gigabyte RAM system equipped with a 256 GB SSD will provide additional storage space not only for data science data but also for other data and files, rather than storing them in the cloud.

As far as the display is concerned, a 15-inch screen with a 1080p resolution and retina display technology will deliver extra vivid, wide viewing angles and extra vibrant images.

Due to its slimness, it is quite handy as a data scientist tool due to its lightweight and ability to be carried around anywhere. Its 3.7 pounds make it very portable.

Buyers Guide:

As a result of its bright, 1080 display and other features, the Acer Aspire 5 boasts a strong laptop with long battery life. What is best of all is its affordable price.

  • Battery life is amazing and long-lasting
  • Very affordable and under budget 
  • Stunning and sharp display
  • RAM performance is awesome while running heavy software
  • Middle Graphics

10. Newest Lenovo Ideapad L340

 Lenovo Legion 5
8.0/10 Our Score


  • RAM: 16GB DDR4
  • Weight: 5.41 Pounds 
  • Battery: Lithium Polymer batteries included.

Get maximum performance via Dual Burn Support, which pushes the CPU and GPU together for improved framerates, and Legion Coldfront 2.0 for thermal tuning

A robust hardware configuration device is required to handle the complexity of almost every task, whether it is machine learning or data research. This is because the CUK MSI GP73 is capable of handling any task.

Performing proper functions requires much memory to operate data science software. One can get the latest Lenovo Ideapad with 16GB RAM for multitasking and lag-free computing.

This 32GB RAM device has 512 GB of storage, so you won’t have to worry about storing your files and data to the cloud every time you need to access them.

It is equipped with an Intel Core i7-8750H processor. Data science work is easily handled by the processor, which can also be used to render videos and edit them.

In addition to its 15.6-inch display, it has a wide-viewing angle and improved ergonomics to enhance your productivity while you are working on data science.

A USB Type-C port, HDMI 2.0, USB 3.1, an Ethernet port, and a headphone/mic combo are all you get on the IdeaPad L340. It lacks both an SD card reader and a Thunderbolt port.

To give you an idea of the weight, this machine weighs only 5 pounds. Because it is heavy, it is not something that can be carried around.

You’ll need to spend most of your time in your office since you are using it for data analysis and research. Therefore, five hours are sufficient.

After supplying such a powerful configuration, there is absolutely no doubt that the battery life of this laptop will be affected. However, browsing the internet and doing data science tasks will give you just 5 hours of battery life.

Buyers Guide:

This Lenovo idea pad comes with all of the must-have features at an affordable price. A Lenovo IdeaPad will be worth your money if you are looking for a powerful and reliable data science laptop, but you are looking to keep your budget in check. Take a moment to consider it.

  • Quite a reasonable price
  • Comfortable keyboards
  • Performance that exceeded expectations
  • 16 GB RAM will provide you wonderful performance  
  • Battery life is below average


We have provided a detailed and highly researched article for your complete satisfaction. All this information is experienced-based, I hope you like the article and after reading it you can buy your desired product with maximum specifications and pros. Thank you for staying here. 

Leave a Comment