A pro databse using pandas csvs
Project description
Prodb
.csv database for pros
🌠Demo
📠Documentation
🔗 https://lukexyz.github.io/prodb/ (github pages)
Setup environment and nbdev
First time only:
- Ubuntu / WSL
conda create -n prodb python=3.9 jupyter pip nbdev twine
conda activate prodb
git clone https://github.com/lukexyz/prodb.git
pip install -r requirements.txt
- Install githooks from project folder
nbdev_install_git_hooks
- Package auto-manager
make release
WSL error work around for: [Errno 16] Device or resource busy
ubuntu $ make release
windows > python setup.py sdist bdist_wheel
ubuntu $ twine upload --repository pypi dist/*
Frequently during develoment:
1. ðŸ—ï¸ Build lib from notebooks
nbdev_build_lib
2. 📠Build docs from notebooks
nbdev_build_docs
Install
pip install prodb
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
prodb-0.0.5.tar.gz
(11.3 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
prodb-0.0.5-py3-none-any.whl
(10.4 kB
view details)
File details
Details for the file prodb-0.0.5.tar.gz.
File metadata
- Download URL: prodb-0.0.5.tar.gz
- Upload date:
- Size: 11.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
f32db9e4ecdf4bf4a7c745a755216bf06e0fd04a4b9c10b45cfd4e3ad0a40245
|
|
| MD5 |
2eea93f468f402c8616f1d253c083a48
|
|
| BLAKE2b-256 |
2a3fe79f8c160638095d46e965333481a336d4370c790e6f26a88d7707bcf2bd
|
File details
Details for the file prodb-0.0.5-py3-none-any.whl.
File metadata
- Download URL: prodb-0.0.5-py3-none-any.whl
- Upload date:
- Size: 10.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
36271aca6089772acf2e97fce47317fbc413813232cecd9a3e102ed8119de276
|
|
| MD5 |
1026616f98c62c7964128788c8346ba5
|
|
| BLAKE2b-256 |
eebf36a9cce8e647410b164cb2d202b4e5a8237ba79a86e58f614a88f36b7a59
|