Python Programming
Ariel Rokem
(Stanford University)
Python Programming (Part 1): Introduction to Programming
Duration: 3:58
Description:
Introduction to the principles of programming and the Python language.
Ariel Rokem
(Stanford University)
Python Programming (Part 2): Introduction to Python and IPython Notebook
Duration: 8:16
Description:
* The Python interpreter
* iPython and its advantages over the basic Python interpreter.
* Magic commands
* iPython Notebook
Ariel Rokem
(Stanford University)
Python Programming (Part 3): The Python Language and IPython Notebook
Duration: 14:41
Description:
This tutorial uses an example notebook, which can be downloaded from: http://github.com/arokem/python-tutorial
IPython Notebook basics: cells, cell types, and markdown syntax, LaTeX interpreters
Introduction to variables and standard operators. Including operators for strings and boolean operators.
Ariel Rokem
(Stanford University)
Python Programming (Part 4): Functions Modules and Objects
Duration: 11:23
Description:
Using functions and getting help
Importing external libraries/modules
Introduction to NUMPY
Introduction to objects in Python
Ariel Rokem
(Stanford University)
Python Programming (Part 5): Exercise 1 - Introducing logistic growth
Duration: 10:30
Description:
Throughout this lesson, we will successively build towards a program that will calculate the logistic growth of a population of bacteria in a petri dish (or bears in the woods, if you prefer).
Ariel Rokem
(Stanford University)
Python Programming (Part 6): Collections of Things - Lists
Duration: 7:47
Description:
* Slicing
* String expansion
Ariel Rokem
(Stanford University)
Python Programming (Part 7): Exercise 2 - Storing population in a list
Duration: 9:41
Further Information:
Modify your code so that the values of n0, n1, n2, and n3 are stored in a list and not as separate individual variables. HINT: You can start off by declaring an empty list using the syntax n = [], and then append each new calculated value of nt to the list. Get the first and last values in the list, calculate their ratio, and print out “Grew by a factor of ” followed by the result.
Bonus: Extract the last value in two different ways: first, by using the index for the last item in the list, and second, presuming that you do not know how long the list is. Change the values of r and K to make sure that your cell still runs correctly and gives reasonable answers.
Ariel Rokem
(Stanford University)
Python Programming (Part 8): Tuples and Dictionaries
Duration: 5:36
Description:
* The immutability of tuples
* Using dictionaries to store things
* Key/Value pairs
Ariel Rokem
(Stanford University)
Python Programming (Part 9): NumPy Arrays
Duration: 11:34
Description:
* Importing NumPy and working with arrays
* Arrays from lists
* Arithmetic on arrays
* Boolean operators on arrays
* Indexing arrays
* ndarrays
Ariel Rokem
(Stanford University)
Python Programming (Part 10): Loops
Duration: 8:03
Description:
* How to write ‘for’ loops and ‘while’ loops
* The importance of indentation in python
Ariel Rokem
(Stanford University)
Python Programming (Part 11): Exercise - Loops
Duration: 10:33
Description:
* A quick aside on plotting
* Write a for loop
* Plot the resulting array
* Modify the values to see how the plot changes
* Modify the code to make it stop when a limit is met
Ariel Rokem
(Stanford University)
Python Programming (Part 12): Making Choices - Conditional Statements
Duration: 4:19
Description:
* Conditional statements
* Using ‘if’ & ‘else’
* boolean variables & statements
Ariel Rokem
(Stanford University)
Python Programming (Part 13): Exercise - Making Choices
Duration: 4:41
Description:
Making the model stochastic with an if statement
Ariel Rokem
(Stanford University)
Python Programming (Part 14): Writing Functions
Duration: 8:57
Description:
* How to write your own functions
* Running your functions and documenting them using doc strings
Ariel Rokem
(Stanford University)
Python Programming (Part 15): Exercise - Functions
Duration: 4:49
Description:
Creating a logistic regression function
Ariel Rokem
(Stanford University)
Python Programming (Part 16): Creating Modules
Duration: 5:50
Description:
* Creating a Module from our logistic regression function
* The importance of importing dependencies in each module
* reloading modules using ‘reload(modulename)’
Version Control With Git
Ariel Rokem
(Stanford University)
Part 1: Introduction to Version Control
Duration: 3:46
Description:
An overview of version control systems:
Who should use a version control system?
What can you do with a version control system?
What is Git?
Ariel Rokem
(Stanford University)
Part 2: Introduction to Git
Duration: 3:45
Description:
This tutorial provides a quick introduction to Git – including installation and configuration.
Ariel Rokem
(Stanford University)
Part 3: Working with Git - Basic Concepts
Duration: 4:25
Description:
Part 3 of the “Version Control With Git” series. This tutorial provides an introduction to the basic concepts underlying Git.
Ariel Rokem
(Stanford University)
Part 4: Working with Git - Command Line Basics
Description:
Part 4 of the Version Control With Git series.
This tutorial covers:
The cycle of virtue, Git init, Git status, Git add, Git commit, Git log, and Git diff
Ariel Rokem
(Stanford University)
Part 5: Working with Git - Branching and Merging
Duration: 10:36
Description:
Part 5 of the Version Control with Git series. This tutorial covers local branching and merging.
Ariel Rokem
(Stanford University)
Part 6: Working with Git - Resolving Merge Conflicts
Duration: 7:18
Description:
Part 6 in the Version Control with Git series. This tutorial covers what to do in order to remain sane when a merge conflict occurs. Ariel will keep you cool and relaxed as he navigates you through this tricky gituation.
MATLAB Tutorials
Kendrick Kay
(Washington University, St. Louis)
MATLAB Basics (Part 1)
Duration: 58 min
Description:
This video is part 1 of 2, covering the basics of MATLAB (geared towards data analysis and statistics). See additional materials athttp://artsci.wustl.edu/~kkay/psych5007/
Kendrick Kay
(Washington University, St. Louis)
MATLAB Basics (Part 2)
Duration: 1h 47 min
Description:
This video is part 2 of 2, covering the basics of MATLAB (geared towards data analysis and statistics). See additional materials athttp://artsci.wustl.edu/~kkay/psych5007/