Python

Python is an extremely versatile programming language. Python has proven popular due to its ease of use and minimal learning curve. New users do not need to learn the intracacies of data structures and runtime constraints in order to use it.

For this reason, Python is frequently used in statistical applications, as well as a variety of other areas (this website was generated with Python!).

We will use Python in class to quickly generate graphical_representations_of_data and perform statistical analysis. The pages below should serve as a reference.

Furthermore, all of the plots across the pages of this website were generated with simple Python scripts that can be downloaded and run on your own computer, after you perform the initial setup,

Contents:

• Online Python Shell
• Python Setup
  • Links
  • Python Installation
  • Interpretter
  • Scripts
  • IDLE
  • Packages
• Basics
  • Comments
  • Docstrings
  • Variables
  • Arithmetical Operations
  • Logical Operations
  • List Operations
  • References
• Sets
  • Set Variables
  • Set Operations
• Functions
  • Built-In Functions
  • Standard Library Functions
  • Creating Functions
• Plots
  • Prerequisites
  • Importing
  • Creating the Axes
  • Showing The Plot
  • Styling The Graph
  • Gallery
  • References
• Files
  • CSV Files
• Control Structures
  • Conditional Statements
  • Loops
• The Internet
• Demonstrations
  • Conditional Distributions
  • Estimators
  • Measuring Variation
  • The Effect of Outliers
  • Scatter Plot of Twitter Data
  • Die Roll Simulation
  • Normal Distribution
  • QQ Plot
  • Least Squares Regression
  • Biased Estimators
  • Central Limit Theorem
  • Confidence Intervals
  • Power