PACE - Python 101: Intro to Data Analysis with NumPy

Event Details
  • Date/Time:
    • Thursday May 27, 2021
      1:30 pm - 3:15 pm
  • Location: Virtual/Online - link provided to registered participants on day prior to workshop
  • Phone:
  • URL:
  • Email:
  • Fee(s):
    N/A
  • Extras:
Contact

Michael Weiner, mweiner3@gatech.edu

Summaries

Summary Sentence: PACE - Python 101: Intro to Data Analysis with NumPy

Full Summary: PACE’s Python 101: Intro to Data Analysis with NumPy introduces PACE users to analyzing scientific and engineering data using Python in a Hands-On course. Instruction focuses on basic Python skills and key features of the NumPy and Matplotlib libraries through a data analysis example. The course is taught through a Jupyter Notebook, and participants will have multiple opportunities for hands-on exercises throughout the session. The workshop will also cover the mechanics of setting up a Jupyter Notebook on the PACE cluster. Those with no experience on the command line are encouraged to attend PACE - Linux 101 prior to taking this course. No prior knowledge of Python is expected or assumed. Advance registration by 11:59 PM two days prior to the workshop is required at https://b.gatech.edu/3o3mj7F.

PACE’s Python 101: Intro to Data Analysis with NumPy introduces PACE users to analyzing scientific and engineering data using Python in a Hands-On course. Instruction focuses on basic Python skills and key features of the NumPy and Matplotlib libraries through a data analysis example. The course is taught through a Jupyter Notebook, and participants will have multiple opportunities for hands-on exercises throughout the session. The workshop will also cover the mechanics of setting up a Jupyter Notebook on the PACE cluster. Those with no experience on the command line are encouraged to attend PACE - Linux 101 prior to taking this course.

No prior knowledge of Python is expected or assumed.

Advance registration by 11:59 PM two days prior to the workshop is required at https://b.gatech.edu/3o3mj7F.

Additional Information

In Campus Calendar
Yes
Groups

Georgia Tech High Performance Computing (PACE)

Invited Audience
Faculty/Staff, Postdoc, Graduate students, Undergraduate students
Categories
Training/Workshop
Keywords
PACE, Python, NumPy, Jupyter
Status
  • Created By: mweiner3
  • Workflow Status: Published
  • Created On: May 13, 2021 - 10:37am
  • Last Updated: May 13, 2021 - 10:37am