https://github.com/eddienubes/datascience-for-ek
https://github.com/eddienubes/datascience-for-ek
Last synced: about 1 year ago
JSON representation
- Host: GitHub
- URL: https://github.com/eddienubes/datascience-for-ek
- Owner: eddienubes
- License: mit
- Created: 2024-04-08T19:26:33.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2024-06-02T18:53:16.000Z (about 2 years ago)
- Last Synced: 2025-01-30T09:32:55.546Z (over 1 year ago)
- Language: Jupyter Notebook
- Size: 16.6 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# datascience-for-ek
### Note: all sub-projects should use poetry
### Poetry: Installation
The easiest way to install poetry package manager is to use pipx.
Just follow these commands.
```shell
### 👇 Only once 👇 ###
brew install pipx # Install pipx executor
pipx install poetry # Install poetry.
# Now poetry is installed in an isolated environment in your user folder.
### 👆 Only once 👆 ###
```
### Project: Checkout
```shell
cd # Checkout the lab folder
poetry install # Install dependencies
make start
```
### Project: Creation
1. Initialize
```shell
poetry init
# Hit yes yes yes, and just create this pyproject.toml
```
2. Add `package-mode = false` inside `pyproject.toml`.
3. Add dependency
```shell
# This is how you add dependencies.
poetry add numpy
```
4. Enjoy!