taliesin | Lightweight audio streaming server | Video Utils library
kandi X-RAY | taliesin Summary
kandi X-RAY | taliesin Summary
Lightweight audio media server with a REST API interface and a React JS client application. Can be used as a cloud application for a set of media files. The web application uses a responsive design to be usable as much in a desktop computer with a large screen or a small screen such as smartphones or tablets. Handles media metadata like id3 tags, media cover, whether the cover is integrated in the media file or as an image in the folder of the media. The user can create audio jukebox streams of the following formats: OGG/Vorbis, MP3 and FLAC, it's also possible to specify the channels, bitrate or sample rate for any stream at creation. Navigation modes: via file names or media metadata. Database required: MariaDB/MySQL or SQLite3 are supported. Authentication method: An OAuth2 server providing JWT like Glewlwyd, or no authentication. Taliesin is a Free Software. The API source code is available under the terms of the GNU GPL V3 license, the web application is available under the terms of the MIT license.
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QUESTION
my name is Taliesin. I am working on a school project for which I have to perform multiple data analysis. First of all, I need a code that searches the entire computer for my file, by name. At the moment I have a code, which I borrowed from another thread on Stack overflow, but I need it to also work on different operating systems, like mac. Also with the code that I use right now, I don't know how to convert the outcome, into something that I can open with pd.read_csv()
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This is my code so far:
...ANSWER
Answered 2019-Oct-12 at 19:28Mac is a Linux-based OS. So, for Mac and Linux, you can use the 'find' utility from the terminal itself.
To search a specific directory (e.g. /home/project/csv) -
QUESTION
Created a table using the following SQL statement in phpmyadmin.
...ANSWER
Answered 2019-Jun-21 at 06:19you don't need to specify two columns since one is auto incremented
QUESTION
I have implemented Apriori algorithm on my dataset. The rules I get though are inverted repititions that is:
...ANSWER
Answered 2017-Dec-21 at 17:10You can do it with brute force, by converting your rules object into a data.frame, and iteratively comparing LHS/RHS transaction vectors. Here is an example using the grocery.csv dataset:
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