Working With Data Part 3: How Iterators Power Data Processing

Working with Data Part 3: How The Iterator Protocol Powers Data Processing in Python

The next Python Tuesday session is all about how iterators help us to solve many data-processing related problems. The term 'iterator' may sound abstract but there is a practical benefit and they everywhere in Python3. For example the functions like sum(), min(), max() or the much more powerful sorted(), filter() and map().

This will be an on-line-only session. The conferencing facility will be announced on May 26 (suggestions are welcome).

Preparations

• If you'd like to follow along with the code, make sure that you have a working Python 3 run-time environment. In case you
  don't have one, the 1st session deals with how to set one up:
  https://github.com/gnyers/python-tuesday/tree/master/session1

• Clone the Git repo (https://github.com/gnyers/python-tuesday):

.. code:: shell

git clone git@github.com:gnyers/python-tuesday.git

About Python Tuesday

"Python Tuesday" is a monthly meetup with a hands-on approach to help you develop your Python programming skills. Each session is centered around one broader topic which will be discussed using simple programming tasks and use-cases. Our standing formula is to demonstrate the problem and provide a "live-coded" and narrated solution. Though the solutions will be provided on-line, we challenge you to code-along and enjoy the thrill of accomplishment :-)