Tested with Apache Spark 2.1.0, Python 2.7.13 and Java 1.8.0_112
For older versions of Spark and ipython, please, see also previous version of text.
Tested with Apache Spark 2.1.0, Python 2.7.13 and Java 1.8.0_112
For older versions of Spark and ipython, please, see also previous version of text.
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:
IGV provides functionality that allows a user to create a script to take screenshots of regions of interest.
emacs --daemon to run in the background.
emacsclient.emacs24 <filename/dirname> to open in terminal
NOTE: "M-m and SPC can be used interchangeably".
C-/C-?M-c
2. Upper Case : M-uM-lHow to have some fun using the terminal.
sudo apt-get install cowsaysudo apt-get install fortunesudo apt-get install figletruby -vgem install lolcatThis is unmaintained, please visit Ben-PH/spacemacs-cheatsheet
SPC q q - quitSPC w / - split window verticallySPC w - - split window horizontallySPC 1 - switch to window 1SPC 2 - switch to window 2SPC w c - delete current windowIf a project has to have multiple git repos (e.g. Bitbucket and Github) then it's better that they remain in sync.
Usually this would involve pushing each branch to each repo in turn, but actually Git allows pushing to multiple repos in one go.
If in doubt about what git is doing when you run these commands, just
Once in a while, you may need to cleanup resources (containers, volumes, images, networks) ...
// see: https://github.com/chadoe/docker-cleanup-volumes
$ docker volume rm $(docker volume ls -qf dangling=true)
$ docker volume ls -qf dangling=true | xargs -r docker volume rm
| curl -u [email protected]:mypassword -T local_file_path https://dav.box.com/dav/remote_file_name | |
| curl -u [email protected]:mypassword https://dav.box.com/dav/remote_file_name --output download_file_path |
| from tabulate import tabulate | |
| def pretty_print_df(df): | |
| print tabulate(df, headers='keys', tablefmt='psql') |