Shawn Azdam SHi-ON

Boris Cherny’s 10 team-sourced tips for using Claude Code

See Boris’s post: these tips come from the Claude Code team, and there’s no single “right” setup—experiment and keep what works.

1) Do more in parallel

Run 3–5 Claude sessions at once, one per task.
The team’s preferred approach is git worktree so each session has its own isolated working directory.
Some folks also keep a dedicated “analysis” worktree for log reading / BigQuery-style investigation.

2) Start complex tasks in plan mode

What is NUMA (Non-Uniformed Memory Access)

Non-Uniform Memory Access (NUMA) is one of the computer memory design methods used in multiprocessor systems, and the time to access the memory varies depending on the relative position between the memory and the processor. In the NUMA architecture, when a processor accesses its local memory, it is faster than when it accesses the remote memory. Remote memory refers to memory that is connected to another processor, and local memory refers to memory that is connected to its own processor. In other words, it is a technology to increase memory access efficiency while using multiple processors on one motherboard. When a specific processor runs out of memory, it monopolizes the bus by itself, so other processors have to play. , and designate 'access only here', and call it a NUMA node.

1. Check Nodes

lspci | grep -i nvidia
  
01:00.0 VGA compatible controller: NVIDIA Corporation TU106 [GeForce RTX 2060 12GB] (rev a1)

Linux Desktop on Apple Silicon in Practice

NOTE: Time flies, and it's been almost five years(!) since I wrote this. Beaware the text below is now outdated (e.g., now Asahi Linux has graphics acceleration even better than this). The commands listed are up-to-date.

I bought M1 MacBook Air. It is the fastest computer I have, and I have been a GNOME/GNU/Linux user for long time. It is obvious conclusion that I need practical Linux desktop environment on Apple Silicon.

MNIST tutorial: crafting adversarial examples with the Jacobian-based saliency map attack

This tutorial explains how to use CleverHans together with a TensorFlow model to craft adversarial examples, using the Jacobian-based saliency map approach. This attack is described in details by the following paper. We assume basic knowledge of TensorFlow. If you need help getting CleverHans installed before getting started, you may find our MNIST tutorial on the fast gradient sign method to be useful.

MNIST tutorial: the fast gradient sign method and adversarial training

This tutorial explains how to use CleverHans together with a TensorFlow model to craft adversarial examples, as well as make the model more robust to adversarial examples. We assume basic knowledge of TensorFlow.

Setup

First, make sure that you have TensorFlow

Run:

brew install gnupg pinentry-mac
git config --global user.signingkey <key>
git config --global commit.gpgsign true
git config --global gpg.program gpg

Then add the following line to ~/.gnupg/gpg-agent.conf:

pinentry-program /usr/local/bin/pinentry-mac

	import pandas as pd

	def confusion_matrix(df: pd.DataFrame, col1: str, col2: str):
	"""
	Given a dataframe with at least
	two categorical columns, create a
	confusion matrix of the count of the columns
	cross-counts

	use like:

	from sklearn.datasets import make_blobs
	from sklearn.cluster import dbscan
	from sklearn.cluster._dbscan_inner import dbscan_inner
	from sklearn.metrics import pairwise_distances_chunked
	from scipy.sparse import csr_matrix
	import numpy as np

	# dataset
	n = 50000
	ds, _ = make_blobs(n, 100, 50)

	#!/bin/bash
	# Centos 7/8 John the Ripper Installation
	#release=(j 1.8.0)
	release=(k 1.9.0)
	# Check Centos version
	if [ -f /etc/redhat-release ] ; then
	source /etc/os-release
	if [ $VERSION_ID == "8" ] ; then
	packager=dnf
	elif [ $VERSION_ID == "7" ] ; then

	# Centos 7.1
	yum -y install wget
	wget http://li.nux.ro/download/nux/dextop/el7/x86_64/nux-dextop-release-0-5.el7.nux.noarch.rpm
	rpm -ivh nux-dextop-release-0-5.el7.nux.noarch.rpm

	yum -y install deluge-web


	systemctl start deluge-web
	systemctl stop firewalld