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Jupyter notebooks and data for the "Introduction to Scientific Programming in Python" Course taught at LMU in 2016

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.ipynb_checkpoints
.ipynb_checkpoints
 
 
Homework Sample Data
Homework Sample Data
 
 
.gitignore
.gitignore
 
 
Final Project Description.odt
Final Project Description.odt
 
 
Homework 1 Jupyter Notebook and Builtin Type Methods.ipynb
Homework 1 Jupyter Notebook and Builtin Type Methods.ipynb
 
 
Homework 2 Iteration, the Built-In Functions, and File Paths- (with answers).ipynb
Homework 2 Iteration, the Built-In Functions, and File Paths- (with answers).ipynb
 
 
Homework 2 Iteration, the Built-In Functions, and File Paths.ipynb
Homework 2 Iteration, the Built-In Functions, and File Paths.ipynb
 
 
Homework 3 1D Array Analysis and Plotting-with Answers.ipynb
Homework 3 1D Array Analysis and Plotting-with Answers.ipynb
 
 
Homework 3 1D Array Analysis and Plotting.ipynb
Homework 3 1D Array Analysis and Plotting.ipynb
 
 
Homework 4 2D Array Analysis and Plotting (actual exercise).ipynb
Homework 4 2D Array Analysis and Plotting (actual exercise).ipynb
 
 
Homework 4 2D Arrays (DataGen).ipynb
Homework 4 2D Arrays (DataGen).ipynb
 
 
Homework 4 Answers.ipynb
Homework 4 Answers.ipynb
 
 
Homework 6 Answers.ipynb
Homework 6 Answers.ipynb
 
 
Homework 6 Pandas DataFrames.ipynb
Homework 6 Pandas DataFrames.ipynb
 
 
Homework 7 Answers.ipynb
Homework 7 Answers.ipynb
 
 
Homework 7 Data Simulation.ipynb
Homework 7 Data Simulation.ipynb
 
 
Python Course Lecture 1.ipynb
Python Course Lecture 1.ipynb
 
 
Python Course Lecture 2.ipynb
Python Course Lecture 2.ipynb
 
 
Python Course Lecture 3.ipynb
Python Course Lecture 3.ipynb
 
 
Python Course Lecture 4 Functions, Scripts, and Modules.ipynb
Python Course Lecture 4 Functions, Scripts, and Modules.ipynb
 
 
Python Course Lecture 5 Matrices.ipynb
Python Course Lecture 5 Matrices.ipynb
 
 
Python Course Lecture 6a Image Analysis.ipynb
Python Course Lecture 6a Image Analysis.ipynb
 
 
Python Course Lecture 6b Pandas.ipynb
Python Course Lecture 6b Pandas.ipynb
 
 
Python Course Lecture 7a Errors and Debugging.ipynb
Python Course Lecture 7a Errors and Debugging.ipynb
 
 
Python Course Lecture 7b Functional Programming and Interactive Analysis.ipynb
Python Course Lecture 7b Functional Programming and Interactive Analysis.ipynb
 
 
Python Course Lecture 8a Files and Relational Databases.ipynb
Python Course Lecture 8a Files and Relational Databases.ipynb
 
 
Python Course Lecture 8b Time Data.ipynb
Python Course Lecture 8b Time Data.ipynb
 
 
Python Course Lecture 9a Package Installation, Seaborn, and Scipy Stats.ipynb
Python Course Lecture 9a Package Installation, Seaborn, and Scipy Stats.ipynb
 
 
Python Course Lecture 9b Review.ipynb
Python Course Lecture 9b Review.ipynb
 
 
README.md
README.md
 
 
Stroop Data Processing to numpy.ipynb
Stroop Data Processing to numpy.ipynb
 
 
ratdata.db
ratdata.db
 
 
rel_data.h5
rel_data.h5
 
 
rel_database_diagram.jpg
rel_database_diagram.jpg
 
 
sampdata.h5
sampdata.h5
 
 
users.csv
users.csv
 
 

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SciPyCourse2016

(To interact with notebooks online: go to http://mybinder.org/repo/neuroneuro15/scipycourse2016)

Jupyter notebooks and data for the "Introduction to Scientific Programming in Python" Course taught at LMU in 2016

To download the files, simply click the "Download ZIP" button on the GitHub page and unzip them on your computer.

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Jupyter notebooks and data for the "Introduction to Scientific Programming in Python" Course taught at LMU in 2016

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