Scrape Tweets from Twitter using Python and Tweepy

This tutorial guides you in setting up a system for collecting Tweets. Not in Apache Spark or Apache Flink, but just in Python + Tweepy. In many use cases, just a single computing node can collect enough Tweets to draw decent conclusions. In future blog posts, I will explain how to collect Tweets using a cluster (and with either Apache Spark or Apache Flink). But for now, lets focus on a simple Pythonic harvester! If you are interested in scraping a website, you should definitely read this article.


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Data Blogger Courses

Mastering Pandas

In this course, you will learn how to use the Python Pandas. After the course, you will be able to:

  • Load and transform your data
  • Visualizing data using line plots, scatter plots and histograms
  • Merging and storing data

The course also includes more advanced topics, such as data parallelization and aggregation.

You can see all course content under “Curriculum” on Data Blogger Courses and the first three lessons are free. The first free lesson can be found here.

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Data Mining with Python on Medical Datasets for Data Mining


The series “Data Mining with Python on Medical Datasets for Data Mining” is a series in which several data mining techniques are highlighted. The series are written in collaboration with John Snow Labs which provided me the medical datasets. In this article basic Text Mining techniques will be highlighted and some of the results are presented.

By the way, if you are interested in Deep Learning you should definitely read this article on implementing a GRU in Python using Tensorflow.


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