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: Open Lab
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. […]
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. […]
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 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 […]
Fall 2017 Python Open Lab Week 1
Week 1 September 26 In week 1 of our Python Open lab, we introduced the Python Starter Kit and went over Python basics such as expressions, variables and statements, floats, statements, integers, strings, booleans, and control flow statements. The class was a mix of students with little to no experience with Python, to a few […]
Python Open Labs
In the penultimate session of Python Open Labs we had a brief review of csv concepts and XML parsing with BeautifulSoup Library. A boiler plate code for practise can be obtained below from the Google Drive link, filed under Session-19 folder. All of the course slides and examples are made available on: https://goo.gl/YP0c2E Next week on […]
Python Open Labs – CSV Files
As we move towards the end of Spring semester, having covered most of the basics in Python, the recent sessions have been focusing on introducing python modules requested by attendees. Last week had a second session on web-scraping with BeautifulSoup, I have updated the practice code for the same in Session-17 folder of the google […]