Pandas for Everyone: Python Data Analysis, 1e (Paperback)  | Released: 15-Apr-18

This tutorial teaches students everything they 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. nlike other beginner books, this guide helps today newcomers learn both Python and its popular Pandas data science toolset in the context of tasks theyl 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. eatures Establishes a solid foundation for all the Pandas basics needed to be effectiveovers data frames, statistical calculations, data munging, modeling, machine learning, reproducible documents and much moreeaches step-by-step through easy, incremental examples, with plenty of opportunities to ode alongble of Contentsart I: Introductionart II: Data Manipulation art III: Data Mungingart IV: Data Modelingart V: Conclusionart VI: Appendixes ppendix A: Installation ppendix B: Command Lineppendix C: Project Templatesppendix D: Using Pythonppendix E: Working Directoriesppendix F: Environmentsppendix G: Install Packagesppendix H: Importing Librariesppendix I: Listsppendix J: Tuplesppendix K: Dictionariesppendix L: Slicing Valuesppendix M: Loopsppendix N: Comprehensionsppendix O: Functionsppendix P: Ranges and Generatorsppendix Q: Multiple Assignment ppendix R: Numpy ndarrayppendix S: Classesppendix T: Odo: The Shapeshifter.