Books and Data Analysis using Python
Writing functions and using Python Modules to analyse text
Data analysis is changing our lives, thanks to it our computers are learning to talk with us, showing us the fastest way to get home in peak hour and feeding us a steady diet of media and products that match our interests. In this session we will do a little bit of data analysis of our own and use simple Python functions to analyse some famous books from Project Gutenberg. We will load unknown texts, discover the most popular words, analyse the complexity of the text and write some code to determine things like the name and gender of the protagonist, location of the novel, the year the events take place.
Sanjin combines his passion for teaching and education with an in-depth understanding of a vast array of technologies. He graduated in 2007 from The Australian National University, majoring in Robotics and Computer Vision. He has a unique ability to adapt various engineering concepts into hands on classroom activities and teach everything from Scratch, Python, Arduino to Raspberry Pi to very young audiences. His role with Techxellent centres around doing this on a larger scale in an easy to follow ‘progression model’ which imbues students with a new mindset required for innovation and analytical thinking. In 2016 his goal is to raise the bar in student engagement with programming and robotics by enabling students to communicate with computers much like they do with their friends— using facial expressions and hand gestures.