screen ~/Library/Containers//com.docker.docker/Data/vms/0/tty
screen -AmdS docker ~/Library/Containers//com.docker.docker/Data/vms/0/tty
screen -r docker
# enter, then disconnect with Ctrl-a d
screen -S docker -p 0 -X stuff $(printf root\\r\\n)
screen -r docker
def splitDataFrameList(df,target_column,separator): | |
''' df = dataframe to split, | |
target_column = the column containing the values to split | |
separator = the symbol used to perform the split | |
returns: a dataframe with each entry for the target column separated, with each element moved into a new row. | |
The values in the other columns are duplicated across the newly divided rows. | |
''' | |
def splitListToRows(row,row_accumulator,target_column,separator): | |
split_row = row[target_column].split(separator) |
(Inspired by https://medium.com/@icanhazedit/clean-up-unused-github-rpositories-c2549294ee45#.3hwv4nxv5)
-
Open in a new tab all to-be-deleted github repositores (Use the mouse’s middle click or Ctrl + Click) https://github.com/username?tab=repositories
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Use one tab https://chrome.google.com/webstore/detail/onetab/chphlpgkkbolifaimnlloiipkdnihall to shorten them to a list.
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Save that list to some path
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The list should be in the form of “ur_username\repo_name” per line. Use regex search (Sublime text could help). Search for ' |.*' and replace by empty.
@echo off | |
echo - This scripts automates process of installing Windows Subsystem for Linux (WSL) | |
REM Due some limitations, this script has to be can't be executed under PowerShell | |
Get-ChildItem >nul 2>&1 | |
if %errorLevel% == 0 ( | |
echo # Swich to CMD | |
cmd /c start "" %0 | |
exit 0 | |
) |
If you're here just for the section on vscode working with Python on WSL, jump here.
Windows is now a development environment that can compete with Mac and Linux. Windows Subsystems for Linux lets you have an Ubuntu (or other Linux flavor) installation that works near seemlessly inside of Windows. Hyper Terminal running WSL's Bash and Visual Studio Code feel really nice to code in. These are instructions for getting set up and smoothing out most of the remaining rough edges. I've included a section on getting vscode to work well with Python and WSL, but the general pattern should be usable for any unsupported language (as of now, I believe it's only Node.js that has WSL support in vscode).