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HPRC Introductory and Intermediate Python for Data Science
This course will take place over four days:
Part 1: Friday, April 5, 2024
Part 2: Friday, April 12, 2024
Part 3: Friday, April 19, 2024
Part 4: Friday, April 26, 2024
Each day 10:00 a.m. to 4:00 p.m. CST
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Email
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Your email
Description
This is a four-part course (four Fridays) that covers the core components of Python programming with topics selected to be relevant for research in data science.
For more information about this course see
https://hprc.tamu.edu/training/intro_python.html
Location and Time
This short course will be in the Blocker Building from 10:00 a.m. to 4:00 p.m. CST on each of the four Fridays: April 5, 12, 19, and 26.
Registration is required and seating is limited to 55.
Sessions
*
Each day is 5 hours, with a one hour lunch break between morning and afternoon.
Please specify which days you will be available to attend the class in-person, even if you can't make the full time period.
The four days are a sequence, i.e., April 5 is a prerequisite of April 12. If you must miss a day, we can work with you to make it up.
April 5
April 12
April 19
April 26
Required
TAMU NetID
*
Your NetID is the username you use to login to various TAMU systems and services. Please do not enter your numeric UIN here. If you do not already have an account on the HPRC systems, please apply here:
https://hprc.tamu.edu/apply
Your answer
Full Name
*
Your answer
Department
*
e.g., "AERO"
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Affiliation
*
Please specify if you are an employee of TAMU or a TAMU system member.
Employee (faculty, staff, GAR, GANT, student worker)
Not employed by TAMU or TAMU system
Principal Investigator / Research Advisor
TAMU faculty member leading your research, or your advisor.
Your answer
Certificate
I would like to have a PDF certificate of attendance sent to my e-mail.
Yes
Lunch
*
We plan to have pizza delivered around noon. Please select which dates you would like to eat this lunch:
April 5
April 12
April 19
April 26
Required
Acknowledgements
ACES
,
FASTER
, and
CC* SWEETER
are supported by NSF grants.
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