Python Tools for Data Scientists Pocket Primer

Oswald Campesato (Autor)

Buch | Softcover

300 Seiten

2022
Mercury Learning & Information (Verlag)
978-1-68392-823-2 (ISBN)

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Part of the best-selling Pocket Primer series, this book is designed to provide a thorough introduction to numerous Python tools for data scientists. The book covers features of NumPy and Pandas, how to write regular expressions, and how to perform data cleaning tasks.

Campesato Oswald : Oswald Campesato (San Francisco, CA) is an adjunct instructor at UC-Santa Clara and specializes in Deep Learning, Java, Android, TensorFlow, and NLP. He is the author/co-author of over twenty-five books including TensorFlow 2 Pocket Primer, Python 3 for Machine Learning, and the NLP Using R Pocket Primer (all Mercury Learning and Information).

1: Introduction to Python
2: Introduction to NumPy
3: Introduction to Pandas
4: Working with Sklearn and SciPy
5: Data Cleaning Tasks
6: Data Visualization
Appendices:
A: Working with Data
B: Working with awk
Index

Erscheinungsdatum	17.12.2022
Reihe/Serie	Pocket Primer
Sprache	englisch
Gewicht	508 g
Themenwelt	Mathematik / Informatik ► Informatik ► Programmiersprachen / -werkzeuge
Themenwelt	Mathematik / Informatik ► Informatik ► Web / Internet
ISBN-10	1-68392-823-7 / 1683928237
ISBN-13	978-1-68392-823-2 / 9781683928232
Zustand	Neuware