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Update learners/technical-appendix.md
Co-authored-by: Jost Migenda <[email protected]>
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learners/technical-appendix.md

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@@ -10,11 +10,11 @@ The topics covered here exceed the level of knowledge required to benefit from t
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- [Hardware Level Memory Accesses](#hardware-level-memory-accesses): A look at how memory accesses pass through a processor's caches.
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- [Hashing Data-Structures](#hashing-data-structures): A deeper look at how data structures such as Dictionaries operate.
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## Viewing Python's ByteCode
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## Viewing Python's Bytecode
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You can use `dis` to view the bytecode generated by Python, the amount of bytecode more strongly correlates with how much code is being executed by the Python interpreter and hence how long it may take to execute. However, this is a crude proxy as it does not account for whether functions that are called and whether those functions are implemented using Python or C.
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You can use `dis` to view the bytecode generated by Python. The amount of bytecode more strongly correlates with how much code is being executed by the Python interpreter and hence how long it may take to execute. However, this is a crude proxy as it does not account for functions that are called and whether those functions are implemented using Python or C.
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The pure Python search compiles to 82 lines of byte-code.
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The pure Python search compiles to 82 lines of bytecode.
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```python
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import dis

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