Note: I'm currently taking a break from this course to focus on my studies so I can finally graduate
Latency Comparison Numbers (~2012) | |
---------------------------------- | |
L1 cache reference 0.5 ns | |
Branch mispredict 5 ns | |
L2 cache reference 7 ns 14x L1 cache | |
Mutex lock/unlock 25 ns | |
Main memory reference 100 ns 20x L2 cache, 200x L1 cache | |
Compress 1K bytes with Zippy 3,000 ns 3 us | |
Send 1K bytes over 1 Gbps network 10,000 ns 10 us | |
Read 4K randomly from SSD* 150,000 ns 150 us ~1GB/sec SSD |
-- Remove the history from | |
rm -rf .git | |
-- recreate the repos from the current content only | |
git init | |
git add . | |
git commit -m "Initial commit" | |
-- push to the github remote repos ensuring you overwrite history | |
git remote add origin git@github.com:<YOUR ACCOUNT>/<YOUR REPOS>.git |
#!/bin/bash | |
# This script assumes you have an app running on 2 ports 4040 and 4041 | |
# and that you can restart your app with a single command | |
APP_RESTART_COMMAND="/your/app/control restart" | |
# Find out if the app is running | |
function app_up { | |
port=$1 |
# Add the following 'help' target to your Makefile | |
# And add help text after each target name starting with '\#\#' | |
help: ## Show this help. | |
@fgrep -h "##" $(MAKEFILE_LIST) | fgrep -v fgrep | sed -e 's/\\$$//' | sed -e 's/##//' | |
# Everything below is an example | |
target00: ## This message will show up when typing 'make help' | |
@echo does nothing |
As of version 3.3, python includes the very promising concurrent.futures
module, with elegant context managers for running tasks concurrently. Thanks to the simple and consistent interface you can use both threads and processes with minimal effort.
For most CPU bound tasks - anything that is heavy number crunching - you want your program to use all the CPUs in your PC. The simplest way to get a CPU bound task to run in parallel is to use the ProcessPoolExecutor, which will create enough sub-processes to keep all your CPUs busy.
We use the context manager thusly:
with concurrent.futures.ProcessPoolExecutor() as executor:
When hosting our web applications, we often have one public IP
address (i.e., an IP address visible to the outside world)
using which we want to host multiple web apps. For example, one
may wants to host three different web apps respectively for
example1.com
, example2.com
, and example1.com/images
on
the same machine using a single IP address.
How can we do that? Well, the good news is Internet browsers
import psycopg2 as pg | |
from io import BytesIO | |
from collections import defaultdict | |
from contextlib import contextmanager | |
from psycopg2.extensions import ISOLATION_LEVEL_AUTOCOMMIT, ISOLATION_LEVEL_READ_COMMITTED | |
READ_COMMIT = ISOLATION_LEVEL_READ_COMMITTED | |
AUTO_COMMIT = ISOLATION_LEVEL_AUTOCOMMIT |
#import <Foundation/Foundation.h> | |
#import <Cocoa/Cocoa.h> | |
#import <unistd.h> | |
BOOL copy_to_clipboard(NSString *path) | |
{ | |
// http://stackoverflow.com/questions/2681630/how-to-read-png-image-to-nsimage | |
NSImage * image; | |
if([path isEqualToString:@"-"]) | |
{ | |
// http://caiustheory.com/read-standard-input-using-objective-c |