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on
1
Intro
2
The problem
3
Optimization
4
Lambda
5
Jealous
6
Code Team
7
Asynchronous Processing
8
Lambda API Gateway
9
Cost of Lambda
10
Bruteforce
11
Converge
12
lambda user interface
13
lambda speed
14
price vs performance
15
engineering conclusions
16
scientific conclusions
17
play button
18
one more time
19
the truth
20
conclusion
Description:
Explore a fascinating journey into algorithmic game-solving and cloud computing in this EuroPython 2018 conference talk. Learn how Vincent Warmerdam and Bas Harenslak leveraged AWS Lambda and 1000+ CPUs to create a bot capable of mastering the card game SushiGO. Dive into the process of translating real-life game rules into algorithms, understand the need for extensive computational power, and discover why AWS Lambda is well-suited for simulation use-cases. Gain insights into implementing concurrency in Python, rapid Lambda deployment using Chalice, and the results of their experimentation. Examine the pros and cons of using AWS Lambda for grid search and simulation tasks, and uncover valuable lessons in both engineering and scientific approaches to problem-solving.

Winning Card Games with 1000+ CPUs

EuroPython Conference
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