Geolocation and Geocodes in Python. It is a useful feature indeed and the wish to add it to your own service is understandable
It may be a challenge to find an application that doesn’t need or doesn’t use geolocation or doesn’t process the address of the user. It is a useful feature indeed and the wish to add it to your own service is understandable.
So, let me introduce a few commands from a pair of Python packages, which make interaction with geodata easier.1. Get the Current Location
We will use the Geocoder package to get the current location since it has a simple interface for IP address processing.
import geocoder g = geocoder.ip('me') g.latlng Out: [48.4593, 35.0386] g.address Out: 'Dnipro, Dnipropetrovsk, UA'
And we have the coordinates of the city region close to my location, my native city name, and country code. So far, all the information is correct. However, you can see more in the
For me, Geocoder is a bit confusing for work with addresses. Instead, we will try our luck with the GeoPy library which has an impressive number of geocoding services and APIs.
Let’s try the default one, called Nominatim, to retrieve the coordinates again.
from geopy.geocoders import Nominatim geolocator = Nominatim(user_agent="user",timeout=10) location = geolocator.geocode("Dnipro, Dnipropetrovsk, UA") (location.latitude, location.longitude) Out: (48.4680221, 35.0417711)
We see the location close to the city center.3. Geocode by Location
You may also try the service in reverse — get the bound geotag by location. Our luck that GeoPy provides just such a feature.
location = geolocator.reverse("48.4680221, 35.0417711") location.address Out: 'Галерея, Дмитра Яворницького проспект, Дніпро, Центральний район, Дніпровська міська рада, Дніпропетровська область, 49000-49489, Україна'
Even better — we got the address in the current region’s language (good for me).4. Measure the Distance
If your service is oriented on traveling, then knowledge of location coordinates is not enough. We are missing the distance between them.
Thankfully for us, GeoPy has built-in functionality for distance calculation. So, let’s say, that I want to see the Eiffel Tower:
loc_paris = geolocator.geocode('Eiffel tower, Paris, France') loc_paris.address Out: 'Tour Eiffel, 5, Avenue Anatole France, Quartier du Gros-Caillou, Paris 7e Arrondissement, Paris, Île-de-France, France métropolitaine, 75007, France'
If I start in my native town:
loc_dnipro = geolocator.geocode("Dnipro, Dnipropetrovsk, UA")
How far should I travel?
from geopy import distance coords_1 = (loc_paris.latitude, loc_paris.longitude) coords_2 = (loc_dnipro.latitude, loc_dnipro.longitude) distance.distance(coords_1, coords_2).km Out: 2393.931548459712
Or in miles, if you prefer:
Too far for me, but we have quite an accurate measurement. And the library has more algorithms for calculations.Conclusion
This was a short intro but you can dive into the documentation of both packages and find out more.
Thank you for reading!
Python Programming Tutorials For Beginners
Hello and welcome to brand new series of wiredwiki. In this series i will teach you guys all you need to know about python. This series is designed for beginners but that doesn't means that i will not talk about the advanced stuff as well.
As you may all know by now that my approach of teaching is very simple and straightforward.In this series i will be talking about the all the things you need to know to jump start you python programming skills. This series is designed for noobs who are totally new to programming, so if you don't know any thing about
programming than this is the way to go guys Here is the links to all the videos that i will upload in this whole series.
In this video i will talk about all the basic introduction you need to know about python, which python version to choose, how to install python, how to get around with the interface, how to code your first program. Than we will talk about operators, expressions, numbers, strings, boo leans, lists, dictionaries, tuples and than inputs in python. With
Lots of exercises and more fun stuff, let's get started.
Download free Exercise files.
Who is the target audience?
First time Python programmers
Students and Teachers
IT pros who want to learn to code
Aspiring data scientists who want to add Python to their tool arsenal
Students should be comfortable working in the PC or Mac operating system
What will you learn
know basic programming concept and skill
build 6 text-based application using python
be able to learn other programming languages
be able to build sophisticated system using python in the future
Guide to Python Programming Language
The course will lead you from beginning level to advance in Python Programming Language. You do not need any prior knowledge on Python or any programming language or even programming to join the course and become an expert on the topic.
The course is begin continuously developing by adding lectures regularly.
Please see the Promo and free sample video to get to know more.
Hope you will enjoy it.
An Enthusiast Mind
Basic Knowledge To Use Computer
What will you learn
Will Be Expert On Python Programming Language
Build Application On Python Programming Language
Worried that you have no experience in handling Python? Don’t! Python programming language teaching from Simpliv puts you right there to be able to write Python programs with ease. Place object-oriented programing in a Python context and use Python to perform complicated text processing.
A Note on the Python versions 2 and 3: The code-alongs in this class all use Python 2.7. Source code (with copious amounts of comments) is attached as a resource with all the code-alongs. The source code has been provided for both Python 2 and Python 3 wherever possible.
Introductory Python: Functional language constructs; Python syntax; Lists, dictionaries, functions and function objects; Lambda functions; iterators, exceptions and file-handling
Database operations: Just as much database knowledge as you need to do data manipulation in Python
Auto-generating spreadsheets: Kill the drudgery of reporting tasks with xlsxwriter; automated reports that combine database operations with spreadsheet auto-generation
Text processing and NLP: Python’s powerful tools for text processing - nltk and others.
Website scraping using Beautiful Soup: Scrapers for the New York Times and Washington Post
Machine Learning : Use sk-learn to apply machine learning techniques like KMeans clustering
Hundreds of lines of code with hundreds of lines of comments
Drill #1: Download a zip file from the National Stock Exchange of India; unzip and process to find the 3 most actively traded securities for the day
Drill #2: Store stock-exchange time-series data for 3 years in a database. On-demand, generate a report with a time-series for a given stock ticker
Drill #3: Scrape a news article URL and auto-summarize into 3 sentences
Drill #4: Scrape newspapers and a blog and apply several machine learning techniques - classification and clustering to these
Using discussion forums
Please use the discussion forums on this course to engage with other students and to help each other out. Unfortunately, much as we would like to, it is not possible for us at Loonycorn to respond to individual questions from students:-(
We're super small and self-funded with only 2 people developing technical video content. Our mission is to make high-quality courses available at super low prices.
The only way to keep our prices this low is to NOT offer additional technical support over email or in-person. The truth is, direct support is hugely expensive and just does not scale.
We understand that this is not ideal and that a lot of students might benefit from this additional support. Hiring resources for additional support would make our offering much more expensive, thus defeating our original purpose.
It is a hard trade-off.
Thank you for your patience and understanding!
Who is the target audience?
Yep! Folks with zero programming experience looking to learn a new skill
Machine Learning and Language Processing folks looking to apply concepts in a full-fledged programming language
Yep! Computer Science students or software engineers with no experience in Java, but experience in Python, C++ or even C#. You might need to skip over some bits, but in general the class will still have new learning to offer you :-)
No prior programming experience is needed :-)
The course will use a Python IDE (integrated development environment) called iPython from Anaconda. We will go through a step-by-step procedure on downloading and installing this IDE.
What will you learn
Pick up programming even if you have NO programming experience at all
Write Python programs of moderate complexity
Perform complicated text processing - splitting articles into sentences and words and doing things with them
Work with files, including creating Excel spreadsheets and working with zip files
Apply simple machine learning and natural language processing concepts such as classification, clustering and summarization
Understand Object-Oriented Programming in a Python context