freeman-lab

An opinionated guide to installing Python on an M1 or M2 Mac in 2025

The following should work on a fresh Mac. It should also work if you already have some kind of Python installed, but depending on what you've done, you might run into trouble.

I'm assuming just basic familiarity with opening the terminal app.

First, install the xcode development tools if you haven't already (it's a ~200MB download) by typing this into the terminal

xcode-select --install

freeman-lab

principles

• commitment to open source
• scalability
• transparency
• modularity
• standardization
• iteration
• avoiding reinvention

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freeman-lab

# neurofinder submission
# local nmf
#
# requirements:
# thunder-python v1.2.0
# thunder-extraction v1.1.0

import json
import thunder as td
from extraction import NMF

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const mat4 = require('gl-mat4')
const sphere = require('primitive-icosphere')
const fit = require('canvas-fit')
const normals = require('angle-normals')
const regl = require('regl')()
const camera = require('lookat-camera')()

var mesh = sphere(1, {
  subdivisions: 5
})

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const mat4 = require('gl-mat4')
const sphere = require('primitive-icosphere')
const regl = require('regl')()
const camera = require('lookat-camera')()

var mesh = sphere(1, {subdivisions: 1})

const cube = regl({
  frag: `
    precision mediump float;

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```python
# create shifted copies

from numpy import arange
from scipy.ndimage.interpolation import shift
```

```python
# create shifted copies

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data types

images

count()

Explicit count of the number of items.

For lazy or distributed data, will force a computation.

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import json

datasets = ['00.00.test', '00.01.test', '01.00.test', '01.01.test', '02.00.test', '02.01.test', '03.00.test', '04.00.test', '04.01.test']

submission = []

for dataset in datasets:
  result = {'dataset': dataset, 'regions': [{'coordinates': [[0, 0], [0, 1]]}]}
  submission.append(result)

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import json
from numpy import zeros, random, asarray, where, ones
from scipy.ndimage.morphology import binary_closing, binary_dilation

datasets = ['00.00.test', '00.01.test', '01.00.test', '01.01.test', '02.00.test', '02.01.test', '03.00.test', '04.00.test', '04.01.test']

dims = [500,500]
margin = 20
n = 200