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Explains how compilers translate high-level language source code (like code written in Python) into low-level machine code (code that the computer can understand) to help readers understand how to produce the best low-level, computer readable machine code.
Today's programmers are tasked with writing optimal computer code to produce high performance systems, whether for machine learning, data science, or artificial intelligence. This second edition of the highly-regarded Thinking Low-Level, Writing High-Level (Volume 2 in the best-selling Write Great Code series) teaches readers how to produce better machine code by directing the actions of their chosen compiler.
This second edition has been updated to cover high-level programming languages (such as Swift and Java) as well as code generation on 64-bit CPUsARM, the Java Virtual Machine, and the Microsoft Common Runtime.
