دانلود کتاب Pandas for Everyone. Python Data Analysis

This tutorial teaches everything you need to get started with Python programming for the fast-growing field of data analysis. Daniel Chen tightly links each new concept with easy-to-apply, relevant examples from modern data analysis. Unlike other beginners books, this guide helps todays newcomers learn both Python and its popular Pandas data science toolset in the context of tasks theyll 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 youll learn -- and an easy way to refer back to what youve already learned. An extensive set of easy-to-read appendices help you fill knowledge gaps wherever they may exist. Coverage includes:Setting up your Python and Pandas environmentGetting started with Pandas dataframesUsing dataframes to calculate and perform basic statistical tasksPlotting in MatplotlibCleaning data, reshaping dataframes, handling missing values, working with dates, and moreBuilding basic data analytics modelsApplying machine learning techniques: both supervised and unsupervisedCreating reproducible documents using literate programming techniques