Binary Tree

Coursera :: Python for Everybody Specialization

Hi there,

Remember the Coursera class I mentioned on the last post? Well, the course was such a success (for both organizers and students) that there is a second part to it.

This course has been so successful that we have decided to push further and offer an entire five-course Python specialization that covers the entire textbook and adds a project-oriented Capstone at the end of the specialization.

Source: Coursera

The second part of this specialization is about:

All classes are exceptionally well designed. The content is pertinent and everything taught by Professor Charles Severance is  very clear.

The best part: it is very enjoyable. In fact, you might even develop a craving for more Python and especially more data!

Before this class, I never asked myself where to find data. Data: to split, to parse, to format, to clean, to visualize and what not.

So, if you are looking for some data to play with, here are six open data sources:

If you have a favourite one, not listed here, please share.

Cities data sources contain information about restaurants.
Warning: Hypochondriacs, stay away from the restaurant data 😉

Also, for all newfound data troglodytes out there, here is a gem: Quantopian Fetch Method

“Quantopian [has got] a method called Fetcher which basically lets you grab CSV data from anywhere on the Internet: HTTP, HTTPS” — Dr. Jess Stauth

 

If you wonder what you can do with data coming from cities around the world, you might find some inspiration through the NYC Python talks. I once attended a meetup where they presented the ins and outs of NYC subway users. It was fun.

 

Here are some quotes to keep you going:

“It does not matter how slowly you go as long as you do not stop”
Confucius

 

“There is no elevator to success. You have to take the stairs”

Unknown

 

Stairs to Mont-Royal (Montreal, Canada)

Stairs to Mont-Royal (Montreal, Canada)

 

Have fun coding!