num_pages: 546
description: 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 allIPython 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 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 youll learn how to 
language: English
title: Python Data Science Handbook: Essential Tools for Working with Data
publisher: O'Reilly Media