Skip to main content

Snowball effect in language learning

Project description

https://mybinder.org/badge_logo.svg https://github.com/eumiro/pygohome/workflows/CI/badge.svg https://img.shields.io/pypi/v/pygohome.svg https://img.shields.io/pypi/pyversions/pygohome.svg https://img.shields.io/github/license/eumiro/pygohome

pygohome: Python, Let’s Go Home. Quickly.

pygohome is a 100% personal route optimizer in a known environment based on experience.

You walk/ride/drive frequently between known locations (home, work, school, shops, family, friends, …) using different routes, but would like to know the optimal route, that should take you the least time possible? pygohome uses your recorded GPS tracks to build a route network of your world with estimation on how long you need to get from A to B using the mean of transport of your choice.

How it works

You track all your trips

A simple GPS track with 1 or 2 seconds interval works well. Just walk/ride/drive as you are used to, stop at lights, don’t speed. You may start tracking before you leave and stop it after you arrive.

You identify your points of interest (and crossroads)

pygohome does not use any map data, so you’ll have to help it. First, you identify all points of interest (home, work, school, shop, family, friends, pub, club, beach, …) and name them.

In the current version, you’ll also have to identify all forks and crossroads where your individual GPS tracks cross, split, or join.

You let pygohome build your world

It will build a route network with your nodes (named POIs and identified intersections) and edges (automatically generated lists of timedeltas you needed to get between the nodes).

You can find the fastest route from A to B

You can choose anywhere between “I’m feeling lucky” (i.e. Sunday 7am, sunny) and “I’d like to make sure I get there in time” (i.e. Friday 5pm, blizzard).

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

pygohome-0.2.0.tar.gz (11.4 kB view details)

Uploaded Source

Built Distribution

pygohome-0.2.0-py3-none-any.whl (9.4 kB view details)

Uploaded Python 3

File details

Details for the file pygohome-0.2.0.tar.gz.

File metadata

  • Download URL: pygohome-0.2.0.tar.gz
  • Upload date:
  • Size: 11.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.6.1 requests/2.25.1 setuptools/49.2.1 requests-toolbelt/0.9.1 tqdm/4.54.1 CPython/3.9.0

File hashes

Hashes for pygohome-0.2.0.tar.gz
Algorithm Hash digest
SHA256 4fc93e581cbc0e32147597b00951ce2a55843a0cf9b7e56e7bfd27fefbad128f
MD5 8d6c13244151ccb99d5f33e4c26bf615
BLAKE2b-256 e1a6d2c3832c6a866faaa5880d2559c53491d53e4c77f93678dccdf339b00214

See more details on using hashes here.

File details

Details for the file pygohome-0.2.0-py3-none-any.whl.

File metadata

  • Download URL: pygohome-0.2.0-py3-none-any.whl
  • Upload date:
  • Size: 9.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.6.1 requests/2.25.1 setuptools/49.2.1 requests-toolbelt/0.9.1 tqdm/4.54.1 CPython/3.9.0

File hashes

Hashes for pygohome-0.2.0-py3-none-any.whl
Algorithm Hash digest
SHA256 6b5d99a4b5433bc99c403f955851377da2e83459570fbad31bed05a7c6339f75
MD5 87a324482f6d8a6c4b6e5d2c19caf08b
BLAKE2b-256 1f741629aaf36520565a39a022eb50f569c47366f3d9ffa5f96ada54a590f5af

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page