IntroPython

Lectures from previous Python for Data Science courses taught at UTA. These are available as refreshers for students and are given as is.

Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
.gitignore		.gitignore
Fisher.jpg		Fisher.jpg
Fourier.jpg		Fourier.jpg
LICENSE		LICENSE
Lecture16FileIO.ipynb		Lecture16FileIO.ipynb
Lecture17ProbabilityNumpyAndRandomVariables.ipynb		Lecture17ProbabilityNumpyAndRandomVariables.ipynb
Lecture19MonteCarlo.ipynb		Lecture19MonteCarlo.ipynb
Lecture21Plotting.ipynb		Lecture21Plotting.ipynb
Lecture22Pandas.ipynb		Lecture22Pandas.ipynb
Lecture23PandasTitanic.ipynb		Lecture23PandasTitanic.ipynb
Lecture24-26OOP.ipynb		Lecture24-26OOP.ipynb
Lecture5IntroPython.pptx		Lecture5IntroPython.pptx
Lecture5and6IntroductionPython.ipynb		Lecture5and6IntroductionPython.ipynb
Lecture6and7ConditionalsLoops.ipynb		Lecture6and7ConditionalsLoops.ipynb
Lecture7and8Functions.ipynb		Lecture7and8Functions.ipynb
Lectures13and14AdvancedVariablesFunctions.ipynb		Lectures13and14AdvancedVariablesFunctions.ipynb
Lectures9-12CheckersNice.ipynb		Lectures9-12CheckersNice.ipynb
Lectures9-12Checkers_WithTesting.ipynb		Lectures9-12Checkers_WithTesting.ipynb
README.md		README.md
iris.data		iris.data
iris.jpg		iris.jpg
iris.names		iris.names
test.csv		test.csv
test.txt		test.txt
train.csv		train.csv

keatonhamm/IntroPython