y0ngb1n

Docker Hub 镜像加速器

国内从 Docker Hub 拉取镜像有时会遇到困难，此时可以配置镜像加速器。

Dockerized 实践 https://github.com/y0ngb1n/dockerized

1️⃣ Docker daemon 配置代理（推荐）

参考 Docker daemon 配置代理

guyskk

"""
Requires:
    pip install click sqlparse
"""
import re
from textwrap import indent, dedent

import click
import sqlparse

montanaflynn

package main

import (
    "log"
    "net/http"
    "net/http/httputil"
)

func main() {
    http.HandleFunc("/", func(w http.ResponseWriter, r *http.Request) {

jackiekazil

How do I round to 2 decimals?

In python, you have floats and decimals that can be rounded. If you care about the accuracy of rounding, use decimal type. If you use floats, you will have issues with accuracy.

All the examples use demical types, except for the original value, which is automatically casted as a float.

To set the context of what we are working with, let's start with an original value.

Original Value

andreif

Performance of Flask, Tornado, GEvent, and their combinations

Wensheng Wang, 10/1/11

Source: http://blog.wensheng.org/2011/10/performance-of-flask-tornado-gevent-and.html

When choosing a web framework, I pretty much have eyes set on Tornado. But I heard good things about Flask and Gevent. So I tested the performance of each and combinations of the three. I chose something just a little more advanced than a "Hello World" program to write - one that use templates. Here are the codes:

1, Pure Flask (pure_flask.py)

kljensen

"""
 If you're using Celery with the gevent worker and a Flask app,
 you may have noticed that you're unsuccessful in having the 
 tasks execute within your Flask app's app_context.  Normally,
 you can do this
 
 with app.app_context():
   celery.start()

 ...but...doesn't appear to work with the gevent worker pool.

jrivero

import os

def split(filehandler, delimiter=',', row_limit=10000, 
    output_name_template='output_%s.csv', output_path='.', keep_headers=True):
    """
    Splits a CSV file into multiple pieces.
    
    A quick bastardization of the Python CSV library.

    Arguments: