Mar 28 This week ‘s topic is Exploratory Data Analysis in R. The goal of the lab is to give attendants some ideas about what they can learn when they first have a data set in their hands and the corresponding approaches. The lab started with introduction of data frame’s concept and how to create […]
Category: Workshops & Training
Python Open Labs: March 26, 2018
Over the past few weeks, students have been learning how to iterate through items – whether they may be in strings, lists, tuples, or dictionaries. Students have mainly been using for loops to grab the value of each item, and lots of progress has been in regards to writing them with little to no instruction. […]
Python Open Lab: Week 4
On March 5, we built on the lesson from week 3, and reviewed functions. Here is one of the problems you can try: The full jupyter notebook is available for this lesson. Please comment, or send us an email and we can make this lesson (or any other lesson from the semester) available to you! […]
Spring 2018 R Open Lab: Character Strings
Feb 28 For this week, the topic we discussed is character strings in R. This lab’s content is a steppingstone for text analysis. We started with introducing the concept of characters, character strings, and character string vectors in R. Then, we talked about operations on strings such as getting substring and combining different character strings. […]
Python Open Lab Week 3: Feb 26
For week three we decided to tackle strings, string methods, and functions: String Methods Strings are amongst the most popular types in Python. We can create them simply by enclosing characters in quotes. Python treats single quotes the same as double quotes. Creating strings is as simple as assigning a value to a variable. The […]
Spring 2018 R Open Lab: More Fundamentals
Last week, we walked through the R starter kit which introduced most of the useful basic concepts in R such as vectors, matrices, and loops. This week, we continued to talk about more basics in R and demonstrated examples. The goal of this lab is to get attendants a better understanding of how R language […]
Python Open Lab Feb 19
On week two of the open labs, we continued building on the starter kit and worked on python data structures. We discussed loops (both for and while), dictionaries and dictionary methods. A while loop is a concept that, when implemented, executes a piece of code over and over again, while a given condition remains true: […]
Python Open Lab Nov 28: Blog Style!
Hello all, Due to some complex scheduling issues, I am posting here the material we would have covered in lab tomorrow. Please feel free to contact me for any questions (data@library.columbia.edu). Enjoy! Python Objects and Classes (cont’d!) Self: What is the self variable in Python? The self variable represents the instance of the object itself. Unlike most object-oriented languages […]
Fall 2017 Python Open Lab Week 3
October 10, 2017 Week 3’s lab was intense! We started with list methods, where we left off last week and went through the following: list.append(x): Add an item to the end of the list. list.extend(L): Extend the list by appending all the items in the given […]
Fall 2017 Python Open Lab Week 2
Week 2: October 3rd This week we started with a brief review of the basics from week 1 and the starter kit. We continued on with Data Structures and worked through Lists, Tuples and Dictionaries. These concepts were easy to approach and we went over many practice examples on the way. Towards the end of […]