Many users when are given server access, do not have root (or sudo) privileges and can not simply do
sudo apt-get install python-pip .
Here's an easy way you can install and use pip without root (or sudo) access in a local directory.
Note : This works without easy_install too.
| go test -run=. -bench=. -benchtime=5s -count 5 -benchmem -cpuprofile=cpu.out -memprofile=mem.out -trace=trace.out ./package | tee bench.txt | |
| go tool pprof -http :8080 cpu.out | |
| go tool pprof -http :8081 mem.out | |
| go tool trace trace.out | |
| go tool pprof $FILENAME.test cpu.out | |
| # (pprof) list <func name> | |
| # go get -u golang.org/x/perf/cmd/benchstat | |
| benchstat bench.txt |
| # http://webapps.stackexchange.com/questions/39587/view-estimated-size-of-github-repository-before-cloning | |
| # tested on macOS | |
| echo https://github.com/torvalds/linux.git | perl -ne 'print $1 if m!([^/]+/[^/]+?)(?:\.git)?$!' | xargs -I{} curl -s -k https://api.github.com/repos/'{}' | grep size | |
| # output: | |
| # "size": 1746294, |
This is a guide that I wrote to improve the default security of my website https://fortran.io , which has a certificate from LetsEncrypt. I'm choosing to improve HTTPS security and transparency without consideration for legacy browser support.
I would recommend these steps only if you have a specific need for information security, privacy, and trust with your users, and/or maintain a separate secure.example.com domain which won't mess up your main site. If you've been thinking about hosting a site on Tor, then this might be a good option, too.
The best resources that I've found for explaining these steps are https://https.cio.gov , https://certificate-transparency.org , and https://twitter.com/konklone
FWIW: I (@rondy) am not the creator of the content shared here, which is an excerpt from Edmond Lau's book. I simply copied and pasted it from another location and saved it as a personal note, before it gained popularity on news.ycombinator.com. Unfortunately, I cannot recall the exact origin of the original source, nor was I able to find the author's name, so I am can't provide the appropriate credits.
| """ | |
| Python script for batch geocoding of addresses using the Google Geocoding API. | |
| This script allows for massive lists of addresses to be geocoded for free by pausing when the | |
| geocoder hits the free rate limit set by Google (2500 per day). If you have an API key for paid | |
| geocoding from Google, set it in the API key section. | |
| Addresses for geocoding can be specified in a list of strings "addresses". In this script, addresses | |
| come from a csv file with a column "Address". Adjust the code to your own requirements as needed. | |
| After every 500 successul geocode operations, a temporary file with results is recorded in case of | |
| script failure / loss of connection later. | |
| Addresses and data are held in memory, so this script may need to be adjusted to process files line |
Code is clean if it can be understood easily – by everyone on the team. Clean code can be read and enhanced by a developer other than its original author. With understandability comes readability, changeability, extensibility and maintainability.
| #!/usr/bin/env python | |
| # -*- coding: utf-8 -*- | |
| # | |
| # This is how I used it: | |
| # $ cat ~/.bash_history | python bash-to-zsh-hist.py >> ~/.zsh_history | |
| import sys | |
| import time | |
