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.
Project details
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-0.2.9.tar.gz
(172.1 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
carpo_student-0.2.9-py3-none-any.whl
(618.0 kB
view details)
File details
Details for the file carpo_student-0.2.9.tar.gz.
File metadata
- Download URL: carpo_student-0.2.9.tar.gz
- Upload date:
- Size: 172.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.10.18
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
18ee1c98ac0cd0628614a1adc19b39531ae94cf68547ca381afbca2c569dc21a
|
|
| MD5 |
e1c8e236fb044a55c984385d97b9a575
|
|
| BLAKE2b-256 |
68ca8822d09cfa1beeaf1351f27b2c4d10c562742bdad239e0f0cf3096dca06d
|
File details
Details for the file carpo_student-0.2.9-py3-none-any.whl.
File metadata
- Download URL: carpo_student-0.2.9-py3-none-any.whl
- Upload date:
- Size: 618.0 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 |
4a35a15c4db9738b741308829bd467c4bc08fa5a2269e3725fc221cfddc8f9b2
|
|
| MD5 |
aa5e504164db2f111939747a87820589
|
|
| BLAKE2b-256 |
33d857b9ade4f01b64ef20e73914c4eae86cf4b526d39bd3f1e65ae64401ac95
|