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Data Science with Python
Details
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.Working scientists and data cruncher familiar with reading and writing Python code will find this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python.With this book, you'll learn how to use: IPython and Jupyter: provide computational environments for data scientists using Python NumPy: includes the ndarray for efficient storage and manipulation of dense data arrays in Python Pandas: features the DataFrame for efficient storage and manipulation of labeled/columnar data in Python Matplotlib: includes capabilities for a flexible range of data visualizations in Python.
Autorentext
Dr. Sunita Dhote, Prof. Satyajit Uparkar and Prof. Manish Motghare, is working as an Asst. Prof. in Shri Ramdeobaba College of Engineering and Management, Nagpur, Maharashtra, India.
Weitere Informationen
- Allgemeine Informationen
- Sprache Englisch
- Anzahl Seiten 148
- Herausgeber LAP LAMBERT Academic Publishing
- Gewicht 238g
- Untertitel DE
- Autor Sunita Dhote , Satyajit Uparkar , Manish Motghare
- Titel Data Science with Python
- Veröffentlichung 02.06.2022
- ISBN 6204731793
- Format Kartonierter Einband
- EAN 9786204731797
- Jahr 2022
- Größe H220mm x B150mm x T10mm
- GTIN 09786204731797