I examine the coverage of random portfolios in log volatility—return space using Monte Carlo methods with different randomization techniques for the 2023 daily closing prices of the 100 stocks constituting the Nasdaq-100.

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The article illustrates how Monte Carlo simulations serve as a powerful method for exploring statistical concepts in A/B testing, enhancing understanding, improving experimental design and analysis.

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I built a simple Python-based Taboo game server using asyncio to provide a customizable multiplayer experience via Telnet.

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My review of the AI landscape in late 2024, and what the road ahead looks like for those of us not building foundational models.

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Recently, I delivered a techtalk on A/B testing to an audience of non-technical Product Managers and experienced Data Scientists.

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A review and introspect on the second 100 articles written on Bytepawn.

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A few days ago OpenAI CEO Sam Altman published an article titled The Intelligence Age. I used OpenAI's new o1-mini model to critique Sam Altman's writing of its own future.

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I detail my structured approach to managing one-on-one meetings within a 40-person data team, emphasizing people management principles like radical transparency, tailored meeting cadences, and strategies to navigate common managerial challenges to foster a supportive and productive work environment.

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The article explains the Bell inequality using Monte Carlo simulations in Python, and shows how non-local action-at-a-distance can be used to break it with entangled qubits.

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This blog post explores foundational quantum mechanics concepts such as superposition, entanglement, and the challenges posed by locality and determinism, while highlighting the historical efforts of Einstein and Bohm to reconcile these phenomena with hidden variable theories.

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In February 2016, I made a life-changing decision to leave Hungary and seek opportunities abroad, starting in London and later moving to Dubai. This essay explores the multitude of reasons behind my choice and why I have no immediate plans to return to Hungary.

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I discuss Polya's How to Solve it approach to mathematical problem solving and the 2010 paper Teaching general problem-solving skills is not a substitute for teaching math.

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Screening CVs is a critical step in the hiring process, used to determine which candidates progress further in the hiring funnel. While the approach to CV screening can vary by company and industry, the primary goal remains the same: to identify candidates with the potential to succeed in subsequent interview stages.

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In this final post on the toy Javascript async message queue server implementation, I make it compatible with the Python version. I use the library of unit tests developed previously to ensure identical behaviour between the two codebases.

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I write a small library of unit tests for the message queue servers.

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I apply NIST's suite of statistical tests to my randomness extractor implementations from the previous posts.

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I discuss various models of biased bit sequences, and how to extract uniform random (or close to it) output bit sequences from them, illustrated with Python code.

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In this final post on the toy Python async message queue server implementation, I make further feature and code improvements.

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I write a somewhat more complicated, but still relatively simple async message queue server in Javascript.

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I write a simple, bi-directional async message queue server in Javascript.

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