Premium project

The GitHub History of the Scala Language

Find the true Scala experts by exploring its development history in Git and GitHub.

Start Project
Code10 TasksDatabase1,500 XPGroup11,638 Learners

Loved by learners at thousands of companies


Project Description

Open source projects contain entire development histories, such as who made changes, the changes themselves, and code reviews. In this project, you'll be challenged to read in, clean up, and visualize the real-world project repository of Scala that spans data from a version control system (Git) as well as a project hosting site (GitHub). With almost 30,000 commits and a history spanning over ten years, Scala is a mature language. You will find out who has had the most influence on its development and who are the experts. The dataset includes the project history of [Scala](http://www.scala-lang.org) retrieved from Git and GitHub as a set of CSV files.

Project Tasks

  1. 1
    Scala's real-world project repository data
  2. 2
    Preparing and cleaning the data
  3. 3
    Merging the DataFrames
  4. 4
    Is the project still actively maintained?
  5. 5
    Is there camaraderie in the project?
  6. 6
    What files were changed in the last ten pull requests?
  7. 7
    Who made the most pull requests to a given file?
  8. 8
    Who made the last ten pull requests on a given file?
  9. 9
    The pull requests of two special developers
  10. 10
    Visualizing the contributions of each developer
Technologies
Python
Topics
Data ManipulationData VisualizationImporting & Cleaning Data
Anita Sarma Headshot

Anita Sarma

Associate Professor at Oregon State University
Anita Sarma joined Oregon State University in September 2015 where she is an associate professor in the School of Electrical Engineering and Computer Science. She holds a Ph.D. degree in information and computer science from the University of California, Irvine. Her research interests are at the intersection of software engineering and computer-supported cooperative work.
See More

What do other learners have to say?

I've used other sites—Coursera, Udacity, things like that—but DataCamp's been the one that I've stuck with.

Devon Edwards Joseph
Lloyds Banking Group

DataCamp is the top resource I recommend for learning data science.

Louis Maiden
Harvard Business School

DataCamp is by far my favorite website to learn from.

Ronald Bowers
Decision Science Analytics, USAA