Brian’s Notes

Part 1 — Notes for Scientific Data Analysis

Mostly in the form of Jupyter notebooks for each chapter of Pasha:

• May 21 — §5.2 A Simple Plot, §5.4 Subplots, §5.5 Adjusting Marker Properties, §5.6 Adjusting Ticks, §5.7 Adjusting Fonts and Font Sizes, §5.8 Multiple Subplots, §5.9 Subplot Mosaic, §5.10 Research Example: Displaying a Best Fit, §5.11 Error Bars, §5.12 Plotting n-Dimensional Data, §5.13 Color Bars — PS02
• May 25 — §6.5 Research Example: An Exoplanet Transit
• May 28 — §7.2 Numerical Integration, §7.3 Optimization, §7.4 Statistics) — PS03)
• June 1 — §8.2 Units and Constants, §8.3 Cosmological Calculations, §8.4 Coordinates, §8.6 Research Example: Automatic Offsets, §8.7 Research Example: Handling Astronomical Images) — PS04

Part 2 — Notes for Data Science and Machine Learning

Code and tests in a PyCharm project with some files for each chapter of Grus:

• June 3 — Ch. 3: Visualizing Data examples
• June 6 — Ch. 4: Linear Algebra implementation and tests — Ch. 5: Statistics implementation, tests, and examples — Ch. 6: Probability implementation and examples
• June 10 — BARELY STARTED Ch 7: Hypothesis and Inference implementation and examples — STARTED Ch 8: Gradient Descent implementation and examples