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
You can read this ebook online in a web browser, without downloading anything or installing software.
This ebook is available in file types:
This ebook is available in:
After you've bought this ebook, you can choose to download either the PDF version or the ePub, or both.
The publisher has supplied this book in DRM Free form with digital watermarking.
You can read this eBook on any device that supports DRM-free EPUB or DRM-free PDF format.
The publisher has supplied this book in encrypted form, which means that you need to install free software in order to unlock and read it.
To read this ebook on a mobile device (phone or tablet) you'll need to install one of these free apps:
To download and read this eBook on a PC or Mac:
The publisher has set limits on how much of this ebook you may print or copy. See details.