Which laptop is best for data science?

There is no one "best" laptop for data science as it depends on an individual's specific needs and preferences. However, some key factors to consider when choosing a laptop for data science include:

• A powerful processor (such as an Intel Core i7 or i9) for running computationally intensive tasks.
• A large amount of RAM (at least 16GB or more) for handling large data sets.
• A dedicated GPU (such as an NVIDIA or AMD) for accelerating machine learning and deep learning tasks.
• A large storage capacity (such as a solid state drive with at least 512GB of storage) for storing data sets and models.
• Good thermals and cooling to handle high workloads.
• A good build quality and robustness as data science often involves a lot of travel.

Additionally, it should run Linux or Windows 10. Some popular laptops for data science include the Dell XPS 15, the Lenovo ThinkPad P53, the MacBook Pro 16, and the ASUS ROG Zephyrus G14.

Which laptop is best for data science?