TOATE
PRODUSELE
coș de cumpărături
lei
Python Data Science Handbook: Tools and Techniques for Developers 15422124
La comandă în 25 zile
PREȚ: 445 lei
Disponibilitate: La comandă în 25 zile
Retur posibil: 365 zile
Suntem ONLINE! Discută cu noi aici. Adaugă la wishlist

Python Data Science Handbook: Tools and Techniques for Developers

La comandă în 25 zile
PREȚ: 445 lei
Disponibilitate: La comandă în 25 zile
Retur posibil: 365 zile
Suntem ONLINE! Discută cu noi aici.
Adaugă la wishlist
For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several...
Vezi mai multe detalii
ISBN: 15422124
Dimensiuni: 16,5x23,5 cm
Tip copertă: Paperback

Python Data Science Handbook: Tools and Techniques for Developers
Mai multe despre carte
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 crunchers familiar with reading and writing Python code will find this comprehensive desk reference ideal for
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 crunchers 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 handbook, you'll learn how to use: IPython and Jupyter: provide computational environments for data scientists using PythonNumPy: includes the ndarray for efficient storage and manipulation of dense data arrays in PythonPandas: features the DataFrame for efficient storage and manipulation of labeled/columnar data in PythonMatplotlib: includes capabilities for a flexible range of data visualizations in PythonScikit-Learn: for efficient and clean Python implementations of the most important and established machine learning algorithms
Data apariției: 2019
Editura: ALDINE PUB
Titlu original: Python Data Science Handbook: Tools and Techniques for Developers
Pagini: 100
Limba: Engleză
Hârtie: 80g/m
Opinia cititorilor