anna-anisienia

import pyodbc
import pandas as pd

df = pd.read_csv('myfile.csv')
MY_TABLE = 'some_tbl'

conn = pyodbc.connect(driver='{ODBC Driver 17 for SQL Server}',
                      server='MYSERVER',
                      database='MYDB',
                      uid='MYUSER', pwd='MYPASSWORD')

chadmcrowell

CIDR        Total Number        Network             Description:
Notation:   of addresses:       Mask:
--------------------------------------------------------------------
/0          4,294,967,296       0.0.0.0            All Addresses
/1          2,147,483,684       128.0.0.0          128 /8 networks
/2          1,073,741,824       192.0.0.0          64 /8 networks
/3          536,870,912         224.0.0.0          32 /8 networks
/4          268,435,456         240.0.0.0          16 /8 networks
/5          134,217,728         248.0.0.0          8 /8 networks
/6          67,108,864          252.0.0.0          4 /8 networks

jaskiratr

# Source: https://stackoverflow.com/a/43317244
$path = ".\aws-ec2-key.pem"
# Reset to remove explict permissions
icacls.exe $path /reset
# Give current user explicit read-permission
icacls.exe $path /GRANT:R "$($env:USERNAME):(R)"
# Disable inheritance and remove inherited permissions
icacls.exe $path /inheritance:r

ericmjl

UPDATE: I have baked the ideas in this file inside a Python CLI tool called pyds-cli. Please find it here: https://github.com/ericmjl/pyds-cli

How to organize your Python data science project

Having done a number of data projects over the years, and having seen a number of them up on GitHub, I've come to see that there's a wide range in terms of how "readable" a project is. I'd like to share some practices that I have come to adopt in my projects, which I hope will bring some organization to your projects.

Disclaimer: I'm hoping nobody takes this to be "the definitive guide" to organizing a data project; rather, I hope you, the reader, find useful tips that you can adapt to your own projects.

Disclaimer 2: What I’m writing below is primarily geared towards Python language users. Some ideas may be transferable to other languages; others may not be so. Please feel free to remix whatever you see here!

dragonken

syntax on
filetype plugin indent on

"Get the 2-space YAML as the default when hit carriage return after the colon
autocmd FileType yaml setlocal ts=2 sts=2 sw=2 expandtab

set is hlsearch ai ic scs
nnoremap <esc><esc> :nohls<cr>

"https://vim.fandom.com/wiki/Moving_lines_up_or_down

subfuzion

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.