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Data Science and AI with Raspberry Pi 4’s ARM v8 64-bit (AArch64)

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In this post I’ll show how to use a Raspberri Pi 4 as a lightweight Data Science station. The new board, which was released in June 2019, is based on a Broadcom BCM2711 SoC whose architecture represents a considerable upgrade on that used by the SoCs in earlier Pi models. The new Pi 4 has a quad-core Cortex A72 64-bit CPU (ARM v8 64-bit) and the ARM cores can run up to 1.5Ghz. It also has a greatly improved GPU feaure set with much faster input/output, due to the addition of a PCIe link that connects the USB 2 and USB 3 ports, and a natively attached Gigabit Ethernet controller. There is also a new Memory Management Unit that allows the Pi 4 to access more memory than its antecesors; in fact, the Pi 4 unit I have has 4GB of main memory (LPDDR4-3200 SDRAM). Step 1: Getting a 64-bit OS for the Raspberry Pi 4 Current Raspbian is based on 32-bit armhfp kernel with specific optimizations to enable the use of the Pi’s processor’s floating-point hardware. There is no official...