Applications . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38 1.13 Utilities . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Click is a Python package for creating beautiful command line interfaces in a composable way with as little code as neces- sary. It’s the “Command Line Interface Creation Kit”. It’s highly configurable configurable but comes with sensible defaults out of the box. It aims to make the process of writing command line tools quick and fun while also preventing any frustration caused by the inability to implement an

Applications . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34 1.13 Utilities . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . click is a Python package for creating beautiful command line interfaces in a composable way with as little amount of code as necessary. It’s the “Command Line Interface Creation Kit”. It’s highly configurable configurable but comes with good defaults out of the box. It aims at making writing command line tools fun and quick without causing user frustration at not being able to implement an intended CLI API. Click

Applications . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44 1.13 Utilities . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Click is a Python package for creating beautiful command line interfaces in a composable way with as little code as neces- sary. It’s the “Command Line Interface Creation Kit”. It’s highly configurable configurable but comes with sensible defaults out of the box. It aims to make the process of writing command line tools quick and fun while also preventing any frustration caused by the inability to implement an

Applications . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48 1.13 Utilities . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Click is a Python package for creating beautiful command line interfaces in a composable way with as little code as neces- sary. It’s the “Command Line Interface Creation Kit”. It’s highly configurable configurable but comes with sensible defaults out of the box. It aims to make the process of writing command line tools quick and fun while also preventing any frustration caused by the inability to implement an

Applications . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47 1.13 Utilities . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Click is a Python package for creating beautiful command line interfaces in a composable way with as little code as neces- sary. It’s the “Command Line Interface Creation Kit”. It’s highly configurable configurable but comes with sensible defaults out of the box. It aims to make the process of writing command line tools quick and fun while also preventing any frustration caused by the inability to implement an

Applications . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46 1.13 Utilities . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Click is a Python package for creating beautiful command line interfaces in a composable way with as little code as neces- sary. It’s the “Command Line Interface Creation Kit”. It’s highly configurable configurable but comes with sensible defaults out of the box. It aims to make the process of writing command line tools quick and fun while also preventing any frustration caused by the inability to implement an

The PEP8 Python style guide 27. Debugging 28. Variables scope 29. Accept arguments from the command line 30. Lambda Functions 31. Recursion 32. Nested Functions 33. Closures 34. Decorators 35. program, you are not going to see any output if you do so - you need to use print() instead. Any line of Python you write here is going to be executed immediately. Type quit() to exit this Python REPL basics that come with Python by default. However I recommend to install IPython, probably the best command line REPL application you can find. Install it with pip install ipython Make sure the pip binaries

configuration settings get a list of people and companies using Celery write my own remote control command change worker queues at runtime Jump to ⟶ Brokers Applications Tasks Calling Workers Daemonizing the dependencies for a given feature. You can specify these in your requirements or on the pip command-line by using brackets. Multiple bundles can be specified by separating them by commas. $ pip install celery-0.0.0.tar.gz $ cd celery-0.0.0 $ python setup.py build # python setup.py install The last command must be executed as a privileged user if you aren’t currently using a virtualenv. Using the development

configuration settings get a list of people and companies using Celery write my own remote control command change worker queues at runtime Jump to ⟶ Brokers Applications Tasks Calling Workers Daemonizing the dependencies for a given feature. You can specify these in your requirements or on the pip command-line by using brackets. Multiple bundles can be specified by separating them by commas. $ pip install celery-0.0.0.tar.gz $ cd celery-0.0.0 $ python setup.py build # python setup.py install The last command must be executed as a privileged user if you aren’t currently using a virtualenv. Using the development

configuration settings get a list of people and companies using Celery write my own remote control command change worker queues at runtime Jump to ⟶ Brokers Applications Tasks Calling Workers Daemonizing the dependencies for a given feature. You can specify these in your requirements or on the pip command-line by using brackets. Multiple bundles can be specified by separating them by commas. $ pip install celery-0.0.0.tar.gz $ cd celery-0.0.0 $ python setup.py build # python setup.py install The last command must be executed as a privileged user if you aren’t currently using a virtualenv. Using the development