A package to locate postcodes using a Parquet file
Project description
Postcode Locator
Postcode Locator is a Python package designed to locate postcodes using a Parquet file. It provides functionalities to easily access and query postcode data.
Features
- Load and query postcode data from a Parquet file.
- Simple and easy-to-use interface.
- Fast lookup of postcode information.
Installation
You can install the package from PyPI using pip:
pip install postcodinator
Usage
Here is an example of how to use the Postcode Locator package:
from postcodinator import Postcodinator
Initialize the locator with the path to your Parquet file
locator = PostcodeLocator('path/to/your_file.parquet')
Example: Find information about a specific postcode
postcode_info = locator.find_postcode('EC1A 1BB')
print(postcode_info)
License
This project is licensed under the MIT License.
Author
Stephen Bourne
Additional Information
If you have any questions, feel free to reach out at hello@stephenbourne.dev
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
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 postcodinator-0.1.0.tar.gz.
File metadata
- Download URL: postcodinator-0.1.0.tar.gz
- Upload date:
- Size: 53.8 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
68d1a3c9065b018a81a2c68d69e18182ecd80fe4d4cdccf9d7bb02c64503186a
|
|
| MD5 |
cae952f8924fa280aa0ae96a869ae27f
|
|
| BLAKE2b-256 |
37e51469acc8ae4d9976283e503eb9d0f5a9e001870cd3377b3d77c6b7eaa52d
|
File details
Details for the file postcodinator-0.1.0-py3-none-any.whl.
File metadata
- Download URL: postcodinator-0.1.0-py3-none-any.whl
- Upload date:
- Size: 53.8 MB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
62b0d29aa02ea075722ae377220caf7ab759fc1f52b17aa3ad926321e7dc9df3
|
|
| MD5 |
eb2c6d6a332bde43f7c6a4cbd289526c
|
|
| BLAKE2b-256 |
acf2e7699c0494708e458a32e69aaf270174a4f2d920eff3dd452e85cf77922d
|