2026-02-03:
Ivry by night, Jan. 2026
2026-02-03: Speeding up NumPy with parallelism: On concurrent.futures vs. Numba’s jit. #python
2026-02-05: Assorted less(1) tips. If you use Vim, you already know most of those shortcuts.
2026-02-05: Readings in Database Systems, 5th Edition, by Peter Bailis, Joseph M. Hellerstein, Michael Stonebraker (eds).
2026-02-12:

But just how close the computed solution $\hat{x}$ and the true solution $x$ are depends on how “nice” the matrix M is. — Don’t solve the normal equations

2026-02-12: Faster Algorithms via Approximation Theory (PDF, 89 pp.).

2026-02-12: Properly setting $PATH for zsh on macOS (fighting with path_helper). #apple
2026-02-12: Python Design Patterns. #python
2026-02-12: vim-galore: All things Vim! #vim
2026-02-16:
Ivry again, Feb. 2026
2026-02-16: An invitation to a sparse Cholesky factorisation. Left-looking Cholesky factorization in two lines:

for j in range(0,n):
    L[j,j] = sqrt(A[j,j] - L[j, 1:(j-1)] * L[j, 1:(j-1)]')
    L[(j+1):n, j] = (A[(j+1):n, j] - L[(j+1):n, 1:(j-1)] * L[j, 1:(j-1)]') / L[j,j]

2026-02-16: Some newer & simpler biostatistical approaches for more credible clinical research. TL;DR lower P-value threshold, increase C-index, statistical medicine instead of medical statistics, prefer small sample for intensive research in some cases. #stats
2026-02-16: Who Needs Backpropagation? Computing Word Embeddings with Linear Algebra: numerical word representations are built using simple frequency counts, a little information theory, and linear algebra. #python
2026-02-28: Back to my Mac. This happended to me two weeks ago.
And sadly, my old MBP onto which I booted Ubuntu got a panic attack after I reinstalled OS X…

2026-02-28: Git’s Magic Files: Other Conventions and Beyond Git are worth keeping in mind.