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Software Carpentry: Computing Foundations with Bash, Git and Python

Software Carpentry: Computing Foundations with Bash, Git and Python

Software Carpentry aims to help researchers get their work done in less time and with less pain by teaching them basic research computing skills. This hands-on workshop will cover basic concepts and tools for using the command prompt, version control with Git, and the Python programming language, including program design, version control, data management, and task automation. Participants will be encouraged to help one another and to apply what they have learned to their own research problems.

The workshop will take place Thursday August 5 and Friday August 6. Registering for one day will register you for the other; you should plan to attend both days.

We also have new optional add-on modules (with separate registration):

  • 8/2 Menus to Code: Navigating the Transition from Graphical and Menu-Driven Data Analysis to Statistical Programming
  • I8/13 Intro to High-performance computing with ARC

For more information on add-ons, visit the Library Calendar or contact Nathaniel Porter.

The workshop is open to anyone. You do not need any experience to participate but you will need access to a WIndows, Mac or Linux computer. The workshop will be hosted in person in Newman Library and will include a 1-hour lunch break each day; instructions for accessing course material and installing software will be sent in advance. The workshop will be online on Zoom. For questions, contact Data Education Coordinator Nathaniel Porter.

By the end of this workshop, you will know how to use:

  • The Unix Shell
    • Files and directories
    • History and tab completion
    • Pipes and redirection
    • Looping over files
    • Creating and running shell scripts
    • Finding things
  • Version Control with Git
    • Creating a repository
    • Recording changes to files: add, commit, …
    • Viewing changes: status, diff, …
    • Ignoring files
    • Working on the web: clone, pull, push, …
    • Resolving conflicts
    • Open licenses
    • Where to host work, and why
  • Programming in Python
    • Using libraries
    • Working with arrays
    • Reading, plotting and summarizing data
    • Creating and using functions
    • Loops and conditionals

If you are an individual with a disability and desire an accommodation, please email library-event-accessibility-g@vt.edu at least 10 business days prior to the event.

Dates & Times:
9:00am - 5:00pm, Thursday, August 5, 2021
9:00am - 5:00pm, Friday, August 6, 2021
Location:
Newman 207A
Campus:
Blacksburg Campus
Audience:
    Alumni       Beginners       Faculty/Staff       Graduate Students       Public       Undergraduates  
Categories:
    Workshop > Data Science       Workshop  

Registration is required. There are 20 seats available.

Event Contact

Profile photo of Nathaniel Porter
Nathaniel Porter

Social Science Data Consultant and Data Education Coordinator