Raymond Hettinger: Numerical Marvels Inside Python - Keynote | PyData Tel Aviv 2022

Discover the importance of accuracy in numerical computations and explore techniques used in Python's math and statistics modules.

Key takeaways

The importance of accuracy in numerical computations is highlighted, with the speaker noting that it’s easy to lose precision with floating point numbers.
The talk focuses on the math and statistics modules in Python, and the techniques used to improve accuracy in numerical computations.
The speaker discusses the concept of a “group” in mathematics, which has properties that make it useful for numerical computations.
The hypot function is used as an example of a function that can be computed accurately using numerical techniques.
The speaker notes that the math module has a gamma function that can be used to compute factorials, and that this function is used to improve accuracy in numerical computations.
The talk also discusses the concept of logarithms and how they can be used to reduce the size of large numbers, making it easier to compute accurate results.
The speaker notes that the statistics module has functions for computing combinations and permutations, and that these functions can be used to improve accuracy in numerical computations.
The talk concludes by highlighting the importance of accuracy in numerical computations, and the techniques used in the math and statistics modules to achieve accurate results.

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