Python Data Science Handbook
GPTKB entity
Properties (44)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
book
|
| gptkbp:author |
gptkb:Jake_VanderPlas
|
| gptkbp:availableIn |
gptkb:Amazon
gptkb:Google_Books gptkb:Barnes_&_Noble O'Reilly_Online_Learning |
| gptkbp:contains |
gptkb:Matplotlib
gptkb:Pandas Scikit-learn NumPy IPython Jupyter |
| gptkbp:format |
Print
eBook |
| gptkbp:hasContent |
Appendix: Python for Data Science
Introduction to NumPy Data_Visualization_with_Matplotlib IPython_and_Jupyter Introduction_to_Pandas Machine_Learning_with_Scikit-learn |
| gptkbp:hasVersion |
First_Edition
|
| https://www.w3.org/2000/01/rdf-schema#label |
Python Data Science Handbook
|
| gptkbp:influencedBy |
Data Mining
Deep Learning Statistical Learning Theory Computational Statistics The Elements of Statistical Learning |
| gptkbp:ISBN |
978-1491912058
|
| gptkbp:language |
English
|
| gptkbp:pageCount |
548
|
| gptkbp:publisher |
gptkb:O'Reilly_Media
|
| gptkbp:relatedTo |
Artificial Intelligence
Data Visualization Machine Learning Statistics Big_Data |
| gptkbp:releaseYear |
2016
|
| gptkbp:reviews |
4.5/5
|
| gptkbp:subject |
Data_Science
Python_Programming |
| gptkbp:targetAudience |
Researchers
Data Analysts Data_Scientists |
| gptkbp:website |
https://jakevdp.github.io/PythonDataScienceHandbook/
|