Instant Data Intensive Apps with pandas How-to -- Instant Data Intensive Apps with pandas How-to -- Credits -- About the Author -- About the Reviewer -- www.PacktPub.com -- Support files, eBooks, discount offers and more -- Why Subscribe? -- Free Access for Packt account holders -- Preface -- What this book covers -- What you need for this book -- Who this book is for -- Conventions -- Reader feedback -- Customer support -- Downloading the example code -- Errata -- Piracy -- Questions -- 1. Instant Data-intensive Apps with pandas How-to -- Working with files (Simple) -- Getting ready -- How to do it... -- How it works... -- There's more... -- Parsing dates at file read time -- Accessing data from a public source -- Slicing pandas objects (Simple) -- Getting ready -- How to do it... -- How it works... -- There's more... -- Direct index access -- Resetting the index -- Subsetting data (Simple) -- Getting ready -- How to do it... -- How it works... -- There's more... -- The where and mask commands -- Substituting with the where command -- Working with dates (Medium) -- Getting ready -- How to do it... -- How it works... -- There's more... -- Alternative date range specification -- Upsampling and downsampling Series -- Modifying data with functions (Simple) -- Getting ready -- How to do it... -- How it works... -- There's more... -- Other apply options -- Alternative solutions -- Combining datasets (Medium) -- Getting ready -- How to do it... -- How it works... -- There's more... -- Merge and join details -- Specifying outputs in join -- Concatenation -- Using indexes to manipulate objects (Medium) -- Getting ready -- How to do it... -- How it works... -- There's more... -- Advanced header indexes -- Performing aggregate operations with indexes -- Getting data from the Web (Simple) -- Getting ready -- How to do it... -- How it works...

There's more... -- The Next stage -- Combining pandas with scikit-learn (Advanced) -- Getting ready -- How to do it... -- How it works... -- There's more -- The NumPy object -- Other tools -- Integrating pandas with statistics packages (Advanced) -- Getting ready -- How to do it... -- There's more -- Using Flask for the backend (Advanced) -- Getting ready -- How to do it... -- There's more -- Visualizing pandas objects (Advanced) -- Getting ready -- How to do it... -- There's more -- Additional options for scatter_matrix -- Other options for producing plots -- Reporting with pandas objects (Medium) -- Getting ready -- How to do it... -- How it works… -- There's more -- Next steps in Python visualization -- The future of pandas.