O'Reilly® Python Data Science Handbook: Essential Tools for Working with Data
Overview & Synopsis
For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all - IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools.
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Document Information
| Document Title | O'Reilly® Python Data Science Handbook: Essential Tools for Working with Data |
|---|---|
| Author / Organization | Jake VanderPlas |
| Subject & Discipline | Programming/Engineering Handbooks, Python Programming, Data Science, Data Analysis and Data Mining, Big Data, Machine Learning, Books by O'Reilly® |
| Categories | Programming/Engineering Handbooks |
| Publication Year | 2016 |
| ISBN | 1491912057 |
| License / Rights | Text Content: CC-BY-NC-ND; Source Code: MIT License |
| Resource Verification | ✓ Verified Direct PDF Available |
| Original Host Website |
FreeComputerBooks.com
(freecomputerbooks.com)
|
| File Format | application/pdf (Portable Document Format) |
| Reported File Size | -0 KB (-1 bytes) |
| Language | ENGLISH |
| Catalog ID | DOC-15079 |
| Original Source Link | Visit Source Page on freecomputerbooks.com » |
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