Third Python Belgrade Meetup, called Big Data, was held in Startit Centar. It was consisted of three short coding sessions, which took us trough modern Python interactive shell, Apache Spark basics and manipulation of data, using Pandas library.
Topic: Short introduction about iPython
In the period of 15 minutes, Stefan started Jupyter Notebook and comparing regular Python interactive shell with Jupyter’s, he represented pros and cons of this web app.
Topic: Spark Python API
PySpark offers an access to Spark’s programming model for Python and helps processing big amounts of data quickly and efficiently.
Milos gave us an insight to one of most popular data tools and data technologies last year, for a short period of time. He went trough some of core API functionalities and stated some positive and negative sides of using PySpark app for solving problems of massive amounts of data.
Topic: Manipulating data with Pandas library
Zarko used his 15 minutes for live coding, in order to show us on concrete data set how data analysis using Pandas library can look. Little part of possibilities of this library was demonstrated, to wake up your imagination and show you possibilities of Python for manipulation of various types of data sets.
After the meetup we moved our gathering to Miners Pub, where Silicon Drinkabout Belgrade was held and continued to talk about a lot of other interesting ideas.