Pandas for Everyone, 1e
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. 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.
Features
- Establishes a solid foundation for all the Pandas basics needed to be effective
- Covers data frames, statistical calculations, data munging, modeling, machine learning, reproducible documents and much more
- Teaches step-by-step through easy, incremental examples, with plenty of opportunities to "code along
Table of Contents
- Part I: Introduction
- Part II: Data Manipulation
- Part III: Data Munging
- Part IV: Data Modeling
- Part V: Conclusion
- Part VI: Appendixes
- Appendix A: Installation
- Appendix B: Command Line
- Appendix C: Project Templates
- Appendix D: Using Python
- Appendix E: Working Directories
- Appendix F: Environments
- Appendix G: Install Packages
- Appendix H: Importing Libraries
- Appendix I: Lists
- Appendix J: Tuples
- Appendix K: Dictionaries
- Appendix L: Slicing Values
- Appendix M: Loops
- Appendix N: Comprehensions
- Appendix O: Functions
- Appendix P: Ranges and Generators
- Appendix Q: Multiple Assignment
- Appendix R: Numpy and array
- Appendix S: Classes
- Appendix T: Odo: The Shapeshifter.
| Book | |
|---|---|
| Author | Chen |
| Pages | 416 |
| Year | 2018 |
| ISBN | 9789352869169 |
| Publisher | Pearson |
| Language | English |
| Uncategorized | |
| Edition | 1/e |
| Weight | 1 kg |
| Dimensions | 20.3 x 25.4 x 9 cm |
| Binding | Paperback |