Chapter 9 · Quantitative Finance
The Random Walk: From Coin Flips to Stochastic Calculus
Watch a coin-flip random walk become the Wiener process, meet the heat equation behind diffusion, and simulate Brownian motion in Python.
15 min Advanced
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Technical articles archive
Explore structured guides on computer architecture, operating systems, systems programming, Python data science, Rust and quantitative finance.
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Articles, page 3
Chapter 2 · Data Science
Sweet Bonanza 1000 RTP Analysis: 60,000 Spins
Python analysis of 60,000 Sweet Bonanza 1000 demo spins, covering RTP, dead spins, bonus frequency, payout concentration, and logging errors.
25 min Advanced
Chapter 8 · Quantitative Finance
Value at Risk (VaR) vs. CVaR: A Practical Guide for Investors
Build Value at Risk and Conditional VaR from return data in Python, and see why VaR hides the tail loss that actually bankrupts a portfolio.
11 min Intermediate
Chapter 1 · Data Science
Gates of Olympus RTP Analysis: Results From 40,000 Spins
See what 40,000 demo spins reveal about Gates of Olympus RTP, Ante Bet bonus frequency, dry spells, multipliers, and statistical uncertainty.
23 min Advanced
Chapter 7 · Quantitative Finance
Stock Options 101: A Guide to Calls, Puts, and Pricing
Learn calls and puts from the payoff diagram up, build multi-leg strategies, and see why selling premium is positive-EV with a catastrophic tail.
11 min Intermediate
Chapter 3 · Data Science
Exploratory Data Analysis (EDA) in Python: Complete Guide
Learn exploratory data analysis (EDA) in Python with pandas, Seaborn, and Matplotlib. Explore distributions, correlations, outliers, trends, and relationships.
22 min Beginner
Chapter 6 · Quantitative Finance
Portfolio Allocation: The Math Behind the Efficient Frontier
Derive Markowitz mean-variance optimization and build the efficient frontier from scratch in Python, then see why the optimal portfolio is fragile.
13 min Intermediate
Chapter 2 · Data Science
How to Clean Data in Python with Pandas: 6-Step Guide
Learn how to clean data in Python with pandas step by step, including missing values, duplicates, data types, outliers, validation, and CSV export.
17 min Beginner
Chapter 5 · Quantitative Finance
Stock Analysis with Python: Modeling Prices, Returns & Distributions
Pull real stock prices with yfinance, turn them into daily returns, and see why the normal distribution underestimates crashes in the tails.
10 min Intermediate
Chapter 1 · Data Science
Set Up Python for Data Science in VS Code: venv, Jupyter & Colab
Learn how to set up Python for data science in VS Code with venv, Jupyter, NumPy and pandas, plus a beginner-friendly Google Colab setup.
19 min Beginner
Chapter 4 · Quantitative Finance
The Geometry of Interest: Constructing Yield Curves and Forward Rates
Bootstrap a yield curve from real bond prices in Python, read the forward rates hidden inside it, and discount future cash flows honestly.
13 min Intermediate
Chapter 7 · Computer Architecture
How Computer I/O Works: Buses, DMA, GPUs, Multicore CPUs, and SoCs
Learn how CPUs communicate with devices through memory-mapped I/O, interrupts, DMA, PCIe, multicore systems, GPUs, and modern system-on-chip designs.
35 min Intermediate