JupyterLab extension with backend and frontend parts for carpo student.
Project description
Installation instructions for students
Students must have installed Anaconda already.
Please follow these steps:
- Open Anaconda.
- Open the Jupyter Lab app.
- Navigate to the course directory or create a new course directory.
- Download the installation script.
- For MacOS, download install_carpo_osx.py
- For Windows, download install_carpo_win.py
- Upload the script to the course directory in Jupyter Lab.
- Click on "+" and open a new Terminal.
- Execute this command in Terminal.
- For MacOS: python install_carpo_osx.py
- For Windows: python install_carpo_win.py
- Close Jupyter Lab and Anaconda.
- Open the folder that has the script and double click on
RUN_JUPYTER_LAB.command.
Configuration of the extension
Your instructor will walk you through the configuration process.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
carpo_student-0.2.11.tar.gz
(143.1 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file carpo_student-0.2.11.tar.gz.
File metadata
- Download URL: carpo_student-0.2.11.tar.gz
- Upload date:
- Size: 143.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.10.18
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
5b2382bc481462ca252d500cdb1636fcb23c63b3e3385d433be7e0eaf64b5940
|
|
| MD5 |
81ab9f764f9e49dab3d95f1301a25e0d
|
|
| BLAKE2b-256 |
c171c5e39597b63a10de43cfe6d16401af56c29ba4717a1e9bb35347a162eb3c
|
File details
Details for the file carpo_student-0.2.11-py3-none-any.whl.
File metadata
- Download URL: carpo_student-0.2.11-py3-none-any.whl
- Upload date:
- Size: 657.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.10.18
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
826297515febb3f395d080e723555f3f8613c9a09b22df7568133824982d13c3
|
|
| MD5 |
8745ed6ef37505b1ed5f83b786ca0fc9
|
|
| BLAKE2b-256 |
bede449d92ffca8cdc89df883009dc3e0b97a4ff770fcf8be3f96a77c635b494
|
