Arquivos para python

Sensing the Air Quality

22 22-03:00 agosto 22-03:00 2019 — 1 Comentário

A low-cost IoT Air Quality Monitor based on RaspberryPi 4

santiago_contamination

I have the privilege of living in one of the most beautiful countries in the world, but unfortunately, it’s not all roses. Chile during winter season suffers a lot with air contamination, mainly due to particulate materials as dust and smog.

Chile

Because of cold weather, in the south, air contamination is mainly due to wood-based calefactors and in Santiago (the main capital in the center of the country) mixed from industries, cars, and its unique geographic situation between 2 huge mountains chains.

 

Nowadays, air pollution is a big problem all over the world and in this article we will explore how to develop a low expensive homemade Air Quality Station, based on a Raspberry Pi.

If you are interested to understand more about it,  please visit the “World Air Quality Index” Project.

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Anúncios

How safe are the streets of Santiago?

16 16-03:00 agosto 16-03:00 2019 — Deixe um comentário

Let’s answer it with Python and GeoPandas!

Costanera Center, Santiago / Benja Gremler

Some time ago I wrote an article, explaining how to work with geographic maps in Python, using the “hard way” (mainly Shapely and Pandas): Mapping Geography Data in Python. Now it is time to do it again, but this time, explaining how to do it in an easy way, using GeoPandas,  that can be understood as Pandas + Shapely at the same package.

Geopandas is an open source project to make working with geospatial data in Python easier. GeoPandas extends the datatypes used by Pandas to allow spatial operations on geometric types.

The motivation for this article was a recent project proposed by our professor Oscar Peredo and developed with my colleagues, Fran Gortari and Manuel Sacasa for the Big Data Analytics course of UDD’s (Universidad del Desarrollo) Data Science Master Degree.

bannerThe objective of that project was to explore the possibility of, taking advantage of state of the art Machine Learning Algorithms, to predict crash risk score for an urban grid, based on public car crash data from 2013 to 2018. By the other hand, the purpose of this article is simply to learn how to use GeoPandas,  on a real problem, answering a question:

“How safe are the streets in Santiago?”.

If you want to know what we have done with the proposed project for our DS Master deegre , please visit its GitHub repository.

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When we are talking about physical variables, as temperature, pressure, etc., as a Data Scientist, usually we start working from a dataset that was created somewhere else. But have you thought about how to capture those data yourself?

On this tutorial we will get data from several different sensors, sending them to an IoT service, ThingSpeak.com and to a mobile App (Thingsview), where we can log and play with data. We will explore several different communication ways of connecting sensors to a Raspberry Pi, as:

  • DHT22 – Temperature & Humidity Sensor – Digital Comm
  • DS18B20 – Temperature Sensor – 1-Wire
  • BMP180 – Temperature & Pressure Sensor – I2C
  • UV – Ultra Violet Sensor – Analog Sensor via A/D and SPI bus

In short, all data will be captured, saved locally on a CSV file and send to an IoT service (ThingSpeak.com), via MQTT protocol, as you can see on below block diagram:

To complete a real Weather Station, on the final step, you will also learn how to measure wind speed and direction, following Mauricio Pinto‘s tutorial.
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The idea with this tutorial is to capture tweets and to analyze them regarding the most used words and hashtags, classifying them regarding the sentiment behind them (positive, negative or neutral).

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MJRoBot termina em 3o. lugar no concurso: Remote Control Contest 2017 promovido pelo Instructables.com, o maior site Maker do mundo!

O tutorial ganhador, foi sobre os sambas, quero dizer, sobre minhas experiencias com o pequeno robô Cozmo (é que sambei um pouquinho para entender como programar o rapaz ;-)!

Cozmo é muito mais que um brinquedo, é uma grande ferramenta didática tanto para crianças como adultos. Cozmo pode ser programado tanto por uma linguagem parecida ao Scratch quanto por Python. Daí, minha idéia de interagir o robozinho com o Raspberry Pi.

O tutorial completo pode ser encontrado aqui no site:

When COZMO, the Robot meets the RASPBERRY PI

portada

O site oficial do Raspberry Pi na Inglaterra também escreveu sobre o tutorial:

WHEN TINY ROBOT COZMO MET OUR TINY RASPBERRY PI

Isso aí! Espero no futuro publicar novos tutoriais com o Cozmo! E por falar em samba…..

mjrobot_samba.gif

Abracão!!!!!