craigsc

import { encode } from "fast-png";
import type { GeoTIFFImage, ReadRasterResult } from "geotiff";
import { fromUrl, Pool } from "geotiff";
import type { RasterSourceSpecification } from "maplibre-gl";
import maplibregl from "maplibre-gl";

const tileSize = 256;
const decoderPool = new Pool();

/**

JavascriptMick

<script setup lang="ts">
  import { storeToRefs } from 'pinia';
  const notifyStore = useNotifyStore();
  const { notifications } = storeToRefs(notifyStore);
</script>

<template>
  ....
    <div class="toast toast-end toast-top">
      <div v-for="notification in notifications" :class="notification.type">

Alir3z4

import os
import pickle
import warnings

import numpy as np
import pandas as pd
from sklearn.model_selection import train_test_split
from tensorflow.keras.callbacks import EarlyStopping
from tensorflow.keras.layers import Dense
from tensorflow.keras.layers import Dropout

sandys

why this code ?

• tiangolo/full-stack-fastapi-template#104
• tiangolo/fastapi#551

P.S. How to quickly run postgres (using docker)

CumpsD

Don’t Feed the Beast – the Great Recruitment Agency Infestation

“Don’t move to that London” warned my northern grandfather once. “It’s full of spivs”.

The Oxford Dictionary (somewhat chauvinistically) defines a spiv as:

A man, typically a flashy dresser, who makes a living by disreputable dealings

“But I work in IT” I told him. “engineers aren’t like that”.

Vigrond

# Rate limiting with Celery + Django + Redis
# Multiple Fixed Windows Algorithm inspired by Figma https://www.figma.com/blog/an-alternative-approach-to-rate-limiting/
#   and Celery's sometimes ambiguous, vague, and one-paragraph documentation
#
# Celery's Task is subclassed and the is_rate_okay function is added


# celery.py or however your App is implemented in Django
import os
import math

M0r13n

This is a simple example of how to use loguru in your flask application

Just create a new InterceptHandler and add it to your app. Different settings should be configured in your config file, so that it is easy to change settings.

Logging is then as easy as:

from loguru import logger

logger.info("I am logging from loguru!")

gregorynicholas

#!/usr/bin/env python
# coding: UTF-8

'''
Setup apc mini colors without Ablton Live

----------

> brew install portmidi

chdorner

my database had 72k annotations at the time I ran these benchmarks, here's the result:

$ python scripts/batch_bench.py conf/development-app.ini dumb
Memory summary: start
      types |   # objects |   total size
=========== | =========== | ============
       dict |       13852 |     12.46 MB
  frozenset |         349 |     11.85 MB
VM: 327.29Mb

gtallen1187

"A little bit of slope makes up for a lot of y-intercept"

01/13/2012. From a lecture by Professor John Ousterhout at Stanford, class CS140

Here's today's thought for the weekend. A little bit of slope makes up for a lot of Y-intercept.

[Laughter]