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vlt Launches "reproduce": A New Tool Challenging the Limits of Package Provenance
vlt's new "reproduce" tool verifies npm packages against their source code, outperforming traditional provenance adoption in the JavaScript ecosystem.
Canvas LMS client: Download submissions, upload grades and comments from excel
A python client for grading canvas submissions.
Make sure you have installed pip
and python3
Install the client: pip install canvas_client
Create and open a folder where you want to download the submissions
Create a config.json
file by running canvas_client
in terminal (the config will be saved in the current folder)
Fill the config properly (see the notes below):
e.g:
{
"url": "canvas.university.edu",
"access_token": "1234abcdef",
"course_id": 157,
"labs": {
"L1": {
"assignment_id": 1024
},
"L2": {
"assignment_id": 1025
}
}
}
Note$^1$: you can find the course id
and assingment id
by opening the approriate assingment in canvas:
Note$^2$: to get an access token: open canvas, go to Your profile
-> Settings
-> New access token
-> Generate Token
-> copy the value
Download the submissions:
canvas_client <assingment name> -d
e.g.:
canvas_client L1 -d
This command downloads the submissions into the assigments
folder and creates an L1.xls
file with the student names, comments, etc. Write the grades and comments into this file.
To upload the grades and comments:
canvas_client <assingment_name> -u
e.g.:
canvas_client L1 -u
This command uploads the content of the L1.xls
Note: the grades will appear on canvas after 10-15 seconds (refresh the page if necessary)
FAQs
Canvas LMS client: Download submissions, upload grades and comments from excel
We found that canvas-client demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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