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  1. 25 maj 2017 · The distance between postal codes can be obtained with the pgeocode library. Unlike the above response, it does not query a web API, and is therefore more suitable for processing large amounts of data, >>> import pgeocode >>> dist = pgeocode.GeoDistance('GB') >>> dist.query_postal_code('WC2N', 'EH53') 536.5 # retured distance in km

  2. pypi.org › project › pgeocodepgeocode · PyPI

    12 kwi 2024 · pgeocode is a Python library for high performance off-line querying of GPS coordinates, region name and municipality name from postal codes. Distances between postal codes as well as general distance queries are also supported.

  3. pgeocode is a Python library for high performance off-line querying of GPS coordinates, region name and municipality name from postal codes. Distances between postal codes as well as general distance queries are also supported. The used GeoNames database includes postal codes for 83 countries.

  4. 10 kwi 2012 · 1/You can use any rest geolocation api eg google maps, that would provide you accurate distance based on the pincodes. 2/ You can use any updated database which has post codes and latitude/longitude information, and use that information to calculate distance between the two points. Helpful links:

  5. # Distance APIs ## About distance APIs Quickly calculate walking or driving distances between addresses, cities, airports, or zip codes with distance APIs. ## What is a distance API? A distance calculator API is a service that provides calculations based on current and forecasted traffic conditions.

  6. 20 maj 2018 · Does anybody know a self-hosted/offline API (maybe based on OSM?) where I can request a distance matrix/list of distances between cities identified by postal codes? Unfortunately, I couldn't find anything by Googling.

  7. Python script to find distance between two zipcodes. May use Google or Bing APIs. Raw. distance_between_zipcodes.py. This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.

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