This is the Rough Cut version of the printed book.
Pandas for Everyone is a tutorial that teaches everything you need to get started with Python programming for the fast-growing field of data analysis. Author Daniel Chen tightly links each new concept with easy-to-apply, relevant examples from modern data analysis.
Unlike other beginner's books, this guide helps today's newcomers learn both Python and its popular Pandas data science toolset in the context of tasks they'll really want to perform. Following the proven Software Carpentry approach to teaching programming, Chen introduces each concept with a simple motivating example, slowly offering deeper insights and expanding your ability to handle concrete tasks.
Each chapter is illuminated with a concept
map: an intuitive visual index of what you'll learn--and an easy
way to refer back to what you've already learned. An extensive set
of easy-to-read appendixes help you fill knowledge gaps wherever
they may exist.
Setting up your Python and Pandas environment
Getting started with Pandas dataframes
Using dataframes to calculate and perform basic statistical tasks
Plotting in Matplotlib
Cleaning data, reshaping dataframes, handling missing values, working with dates, and more
Building basic data analytics models
Applying machine learning techniques: both supervised and unsupervised
Creating reproducible documents using literate programming techniques