Python Data Science Handbook: Essential Tools for Working with Data

I. THÔNG TIN SẢN PHẨM
Mã sản phẩm : STT581
Nhà xuất bản:  O'Reilly Media; 1st edition (January 3, 2017)
Tác giả : Jake VanderPlas
Ngôn Ngữ : Tiếng Anh
ISBN      : 1491912057
Số trang    :546 pages
Hình thức : Bìa Mềm, IN ĐEN TRẮNG
Loại : Sách gia công đóng gáy keo chắc chắn chất lượng cao
Giấy in : Giấy ngoại định lượng 70msg, viết vẽ và hightlight thoải mái.
Chất lượng : Bản in rõ nét, giá rất tốt cho mọi người.

II. MÔ TẢ SẢN PHẨM
1. Mô tả sản phẩm
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 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
    Scikit-Learn: for efficient and clean Python implementations of the most important and established machine learning algorithms

2. Tác giả
Jake VanderPlas is a long-time user and developer of the Python scientific stack. He currently works as an interdisciplinary research director at the University of Washington, conducts his own astronomy research, and spends time advising and consulting with local scientists from a wide range of fields.