Python Data Science Handbook Essential Tools for Working with Data

• Main Author: VanderPlas, Jake (Author)
• Format: Book
• Language: English
• Published: Beijing [etc.] O Reilly Media, Inc. 2017
• Edition: Print book : English : First edition
• Subjects: Python (Computer program language); Data mining; Python (język programowania).; Data structures (Computer science); Database management
• Online Access: Click Here to View Status and Holdings.
• Item Description: Includes index
• Physical Description: xvi, 529 pages illustrations 24 cm
• ISBN: 9781491912058

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.--