MolSSI Python 6: Scientific Data Visualization using Python
This video is part of the course "Python Data and Scripting" found on nanoHUB at https://nanohub.org/courses/MolSSI_Py...
Table of contents available below.
This course is designed for students who are currently involved in, or planning to start computational chemistry research. This workshop is designed to help students develop practical programming skills that will benefit their undergraduate research, and will take students through introductory programming and scripting with Python to version control and sharing their code with others.
The course concludes with a module on scientific data visualization using matplotlib, plotly, and visulizing molecular structures using scientific nglview.
While this course has a focus on chemistry, the course is general enough that it would be beneficial to students wishing to learn Python for use with other fields of study.
No prior programming experience is required.
Table of Contents:
00:00 Scientific Data Visualization
02:39 What is theMolSSI?
03:24 MolSSI Board of Directors
04:21 MolSSI Goal #1
04:57 MolSSI Goal #2
05:26 MolSSI Goal #3
05:47 MolSSI Education
06:52 MolSSI Education Images
07:02 MolSSI Software Fellowships
08:03 MolSSI Software Fellowship Program
09:50 Getting Started
11:37 Plotting with matplotlib
12:31 Using pandas
21:57 Matplotlib
37:11 Get HTML color codes
55:55 Subplots
68:27 Contour Plots
75:14 Creating plots with plotly
98:32 Subplots in Plotly
99:29 PDB Visualization using NGLView
115:07 Resources
This course offered by the Molecular Sciences Software Institute (MolSSI)
https://molssi.org/
This lecture and related downloads can be found on nanoHUB.org at: https://nanohub.org/resources/36124
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