Learn data analysis with python : lessons in coding / A.J. Henley and Dave Wolf
Material type: TextPublication details: California Apress Media 2022Description: 97pISBN:- 9781484246269
- 005.133 HEN-A
Item type | Current library | Collection | Shelving location | Call number | Copy number | Status | Date due | Barcode | Item holds | |
---|---|---|---|---|---|---|---|---|---|---|
Books | BITS Pilani Hyderabad | 003-007 | General Stack (For lending) | 005.133 HEN-A (Browse shelf(Opens below)) | INR 299.00. | Available | 47285 |
Get started using Python in data analysis with this compact, practical guide. This book includes three exercises and a case study on getting data in and out of Python code in the correct format. Learn Data Analysis with Python also helps you discover meaning in the data using analysis and shows you how to visualize it.
Each lesson is, as much as possible, self-contained to allow you to dip in and out of the examples as your needs dictate. If you already use Python for data analysis, you will find several things you wish you knew how to do in Python. You can then take these techniques and apply them directly to your projects.
If you aren't using Python for data analysis, this book takes you through the basics at the beginning to give you a solid foundation in the topic. As you work through the book, you will have a better idea of how to use Python for data analysis when finished.
What You Will Learn
Get data into and out of Python code
Prepare the data and its format
Find the meaning of the data
Visualize the data using iPython
Who This Book Is For
Those who want to learn data analysis using Python. Some experience with Python is recommended but not required, as is some prior experience with data analysis or data science.
Get started using Python in data analysis with this compact, practical guide. This book includes three exercises and a case study on getting data in and out of Python code in the correct format. Learn Data Analysis with Python also helps you discover meaning in the data using analysis and shows you how to visualize it. Each lesson is, as much as possible, self-contained to allow you to dip in and out of the examples as your needs dictate. If you already use Python for data analysis, you will find several things you wish you knew how to do in Python. You can then take these techniques and apply them directly to your projects. If you aren't using Python for data analysis, this book takes you through the basics at the beginning to give you a solid foundation in the topic. As you work through the book, you will have a better idea of how to use Python for data analysis when you are finished. You will get data into and out of Python code, Prepare the data and its format, Find the meaning of the data, and Visualize the data using iPython.
There are no comments on this title.