Yourun Yourun-proger

Основы работы с Git

По материалам сайта Calculate Linux: https://www.calculate-linux.org/main/ru/git

Введение
Основы работы с удаленным репозиторием
Работа с локальным репозиторием

Прочие команды и необходимые возможности

Upload images to GitHub

Create a new issue on GitHub.
Drag an image into the comment field.
Wait for the upload process to finish.
Copy the URL and use it in your Markdown files on GitHub.

Common Options

-#, --progress-bar Make curl display a simple progress bar instead of the more informational standard meter.

-b, --cookie <name=data> Supply cookie with request. If no =, then specifies the cookie file to use (see -c).

-c, --cookie-jar <file name> File to save response cookies to.

Squashing Git Commits

The easy and flexible way

This method avoids merge conflicts if you have periodically pulled master into your branch. It also gives you the opportunity to squash into more than 1 commit, or to re-arrange your code into completely different commits (e.g. if you ended up working on three different features but the commits were not consecutive).

Note: You cannot use this method if you intend to open a pull request to merge your feature branch. This method requires committing directly to master.

Switch to the master branch and make sure you are up to date:

NOTE: This is a question I found on StackOverflow which I’ve archived here, because the answer is so effing phenomenal.

Q: How can I make a chain of function decorators in Python?

If you are not into long explanations, see [Paolo Bergantino’s answer][2].

Latency numbers every programmer should know

L1 cache reference ......................... 0.5 ns
Branch mispredict ............................ 5 ns
L2 cache reference ........................... 7 ns
Mutex lock/unlock ........................... 25 ns
Main memory reference ...................... 100 ns             
Compress 1K bytes with Zippy ............. 3,000 ns  =   3 µs
Send 2K bytes over 1 Gbps network ....... 20,000 ns  =  20 µs
SSD random read ........................ 150,000 ns  = 150 µs

Read 1 MB sequentially from memory ..... 250,000 ns = 250 µs

	# aecho.py

	from socket import *
	import asyncio

	loop = asyncio.get_event_loop()

	async def echo_server(address):
	sock = socket(AF_INET, SOCK_STREAM)
	sock.setsockopt(SOL_SOCKET, SO_REUSEADDR, 1)

	# The MIT License (MIT)
	# Copyright (c) 2016 Vladimir Ignatev
	#
	# Permission is hereby granted, free of charge, to any person obtaining
	# a copy of this software and associated documentation files (the "Software"),
	# to deal in the Software without restriction, including without limitation
	# the rights to use, copy, modify, merge, publish, distribute, sublicense,
	# and/or sell copies of the Software, and to permit persons to whom the Software
	# is furnished to do so, subject to the following conditions:
	#

	{-# LANGUAGE EmptyDataDecls #-}
	{-# LANGUAGE FlexibleContexts #-}
	{-# LANGUAGE FlexibleInstances #-}
	{-# LANGUAGE GADTs #-}
	{-# LANGUAGE OverloadedStrings #-}
	{-# LANGUAGE QuasiQuotes #-}
	{-# LANGUAGE TemplateHaskell #-}
	{-# LANGUAGE TypeFamilies #-}
	{-# LANGUAGE TypeSynonymInstances #-}
	{-# OPTIONS_GHC -fno-warn-orphans #-}