What computer should I use to learn python?

What computer should I use to learn python?

First of all, from the perspective of learning the Python language itself, you do not need a computer with too high configuration. An ordinary office computer can fully meet the requirements, or most of the laptops currently on sale All can meet basic learning requirements.

However, learning Python often requires a relatively clear learning direction. Different learning directions still have some specific requirements in terms of computer configuration. At present, the main learning directions of Python include Web development, big data development, artificial intelligence development and embedded development. Among them, the fields of big data development and artificial intelligence development still have certain requirements for computer configuration.

Development in the field of big data usually has high requirements for computer memory. An important reason is that big data platforms usually have relatively high memory requirements. Many big data platforms have at least memory requirements of 8G, and some commercial big data platforms have higher memory requirements, so if you want to learn Python to engage in big data development, you need to configure a computer with larger memory, the more Bigger is better. In addition, for beginners, it is usually necessary to build a pseudo-distributed cluster through a virtual machine on their own computer, which places higher requirements on memory capacity.

Development in the field of artificial intelligence usually requires a strong GPU, so if you want to learn Python to develop machine learning (deep learning), computer vision, etc., you must be equipped with a better graphics card , this will significantly improve the running speed of the experiment. In addition, the direction of artificial intelligence also has certain requirements for CPU and memory.

Finally, in terms of hard disk configuration, it is best to choose a faster Solid State Drive, the capacity does not need to be too large.

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