tsvikas

import tqdm
from joblib import Parallel


class ParallelTqdm(Parallel):
    """joblib.Parallel, but with a tqdm progressbar

    Additional parameters:
    ----------------------
    total_tasks: int, default: None

mgbckr

Parallelized pd.read_csv with joblib

Reading a large CSV file via pandas and joblib. Probably degrades due to pd.concat usage. Tests and better function parameter definitions and documentation pending.

A very objective test on a 5GB CSV file (shape=()) resulted in a Kernel died message (it was run in a Jupyter notebook and repeated twice) when using pd.read_csv directly. In contrast, using read_csv_joblib with the following settings returned in 3h 4m: Concatenating the row chunks took the longest.

zhangzhibin

#!/bin/bash
# 获取第一个参数
ARG1="$1"
ROOT_FOLDER=""
SCRIPT_NAME="$0"
SCRIPT_VERSION="1.2.3"
VERSION=""
WEB_FOLDER=""
ORG_INDEX_FILE="index.original.html"
INDEX_FILE="index.html"

mikestecker

optimising-unifi-performance

NOTE: Content below is written by Adrian Mace. Click here for an updated version.

Below are the key settings that I apply on any unifi installation for optimal performance.

Settings

Settings > Site

• Ensure Enable Advanced Features is enabled
  This allows you to follow along with the guide in it's entirety.

chad-m

import base64
import os
import json
import pickle
import uuid
import re

import streamlit as st
import pandas as pd

okld

import streamlit as st
from persist import persist, load_widget_state


def main():
    if "page" not in st.session_state:
        # Initialize session state.
        st.session_state.update({
            # Default page.
            "page": "home",

hungtcs

import { EChartOption } from 'echarts';

declare interface _Format extends EChartOption.Tooltip.Format {
  marker: string;
  axisValueLabel: string;
}

const formatter: EChartOption.Tooltip.Formatter = function(params: _Format|Array<_Format>, _ticket, _callback) {
  if(params instanceof Array) {
    if(params.length) {

ciiiii

# If you don‘t want to build it youself, you can try `docker pull killercai/postgres`.
FROM healthcheck/postgres:latest

# China debian mirror
RUN sed -i s@/deb.debian.org/@/mirrors.aliyun.com/@g /etc/apt/sources.list
RUN apt-get clean && apt-get update
RUN apt-get install -y wget git build-essential libpq-dev python-dev postgresql-server-dev-all
# SCWS (Simple Chinese Word Segmentation library)
RUN cd /tmp && wget -q -O - http://www.xunsearch.com/scws/down/scws-1.2.1.tar.bz2 | tar xjf - && cd scws-1.2.1 && ./configure && make install
# zhpaser (postgres plugin)

jerodg

Microsoft Windows and Office KMS Setup

alimanfoo

import numpy as np


def find_runs(x):
    """Find runs of consecutive items in an array."""

    # ensure array
    x = np.asanyarray(x)
    if x.ndim != 1:
        raise ValueError('only 1D array supported')