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#Python notes - TO DO



###Pandas, sqlite, plotly

###Flask, D3

###MySQL, Pandas




##Visualizations

###seaborn: to produce prettier visualizations

###D3.js: sophisticated interactive visualizations for the web (however not for python). Must use!!!!!!

###Bokeh: brings D3- style visualization into Python

###ggplot: Python port of the popular R library ggplot2.


Statistics and Probability

###Scipy SciPy is a Python-based ecosystem of open-source software for mathematics, science, and engineering

###Pandas Provides high-performance, easy-to-use data structures and data analysis tools

###Statsmodels Provides classes and functions for the estimation of many different statistical models

###scipy.stats

Contains a large number of probability distributions as well as a growing library of statistical functions


##Data Science

###BeautifulSoup Is a Python library designed for quick turnaround projects like screen-scraping.

###Python APIs Application Programming Interfaces (or API's) that you can use to build your own applications.

  • GeoJSON GeoJSON is a format for encoding a variety of geographic data structures.

  • REST REST is an architecture style for designing networked applications. Rather than using complex mechanisms such as CORBA, RPC or SOAP to connect between machines, simple HTTP is used to make calls between machines.


Linear algebra done wrong

by Sergei Treil

OpenIntro Statistics

by David M Diez

###Introduction to Probability Charles M. Grinstead (http://bit.ly/1L2MTYI)