Python for data analysis; Data wrangling with pandas,numphy, and I Python
Material type:
TextPublication details: Mumbai Shroff 2019Edition: 2Description: 522pISBN: 9789352136414Subject(s): Computer programming languages PythonDDC classification: 005.133 Summary: Get complete instructions for manipulating, processing, cleaning and crunching datasets in Python. Updated for Python 3.6, the second edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. Youíll learn the latest versions of pandas, NumPy, IPython and Jupyter in the process.
Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python. Itís ideal for analysts new to Python and for Python programmers new to data science and scientific computing. Data files and related material are available on GitHub.
| Item type | Current library | Call number | Status | Date due | Barcode |
|---|---|---|---|---|---|
BK
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Stack | 005.133 McK/P (Browse shelf (Opens below)) | Available | 51126 |
Get complete instructions for manipulating, processing, cleaning and crunching datasets in Python. Updated for Python 3.6, the second edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. Youíll learn the latest versions of pandas, NumPy, IPython and Jupyter in the process.
Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python. Itís ideal for analysts new to Python and for Python programmers new to data science and scientific computing. Data files and related material are available on GitHub.
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