rainbowstream | nice Twitter client | Command Line Interface library
kandi X-RAY | rainbowstream Summary
kandi X-RAY | rainbowstream Summary
A smart and nice Twitter client on terminal written in Python.
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Top functions reviewed by kandi - BETA
- Print configuration information
- Get the default configuration for the given key
- Load config from file
- Delete a configuration key
- Write image to display
- Convert a hexadecimal value to RGB tuple
- Convert from RGB to short integer
- Print hexadecimal colors
- Notify user about unsubscribe
- Update list
- Tweet tweets
- Notify about a user
- Notify user about a tweet
- Forward a tweet event
- Notify user about a list member
- List all users
- Notify about user subscribed to a list
- Quote a tweet
- Display a conversation
- Switch the current thread
- Print trending trends
- List users
- Spawn a thread stream
- Show inbox users
- List tweets
- Launches twitter connection
rainbowstream Key Features
rainbowstream Examples and Code Snippets
Community Discussions
Trending Discussions on rainbowstream
QUESTION
I installed django using
...ANSWER
Answered 2018-Jul-20 at 01:19There is no command line utility named django
. You should use django-admin
:
QUESTION
TLDR; If my Go gRPC bi-directional streaming server is looping on Recv
/Send
infinitely, how can I close the connection when my client's stream
falls out of scope and gets GC'd?
Let's say I am using Go to do a gRPC bi-directional streaming call:
...ANSWER
Answered 2018-Jun-10 at 14:53Use a cancel (https://golang.org/pkg/context/#WithCancel) context to cancel from the client side:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install rainbowstream
You can use rainbowstream like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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