"programming languages" entries

5 reasons why Python is a popular teaching language

Python's simplicity makes it accessible to learners and teachers alike.

Download a free copy of Python in Education. Editor’s note: this is an excerpt from Python in Education, a free report written by Nicholas Tollervey.

I am going to answer a very simple question: which features of the Python language itself make it appropriate for education? This will involve learning a little Python and reading some code. But don’t worry if you’re not a coder! This chapter will hopefully open your eyes to how easy it is to learn Python (and thus, why it is such a popular choice as a teaching language).

Code readability

When I write a to-do list on a piece of paper, it looks something like this:

Shopping
Fix broken gutter
Mow the lawn  

This is an obvious list of items. If I wanted to break down my to-do list a bit further, I might write something like this:

Shopping:
    Eggs
    Bacon
    Tomatoes
Fix broken gutter:
    Borrow ladder from next door
    Find hammer and nails
    Return ladder!
Mow the lawn:
    Check lawn around pond for frogs
    Check mower fuel level 

Intuitively, we understand that the main tasks are broken down into sub-tasks that are indented underneath the main task to which they relate. This makes it easy to see, at a glance, how the tasks relate to each other.

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R as a Programming Language

Moving beyond traditional tools makes data analysis faster and more powerful

Garrett Grolemund is an O’Reilly author and teaches classes on data analysis for R Studios.

We sat down to discuss why data scientists, statisticians, and programmers alike can use the R language to make data analysis easier and more powerful.

Key points from the full video (below) interview include:

  • R is a free, open-source language that has its roots in S-PLUS [Discussed at the 0:27 mark]
  • What does it mean for R to be a programming language versus just a data analysis tool? [Discussed at the 1:00 mark]
  • R comes with many useful data analysis methods already implemented, so you don’t have to start from scratch. [Discussed at the 4:23 mark]
  • R is a mix of functional and object-oriented programming that is optimal for handling data structures that data analysts expect (e.g. vectors) [Discussed at the 6:08 mark]
  • A discussion of using R in conjunction with other languages like Python, along with packages that help with this [Discussed at the 7:30 mark]
  • Getting started using R isn’t really any harder than using a calculator [Discussed at the 9:28 mark]

You can view the entire interview in the following video.

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