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Python Crash …. Skip to main content. Start your free trial. Buy on Amazon Buy on ebooks. Book description For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Show and hide more. Table of contents Product information.
Who Is This Book For? Why Python? Accessing Source Code with?? This repository contains the entire Python Data Science Handbook , in the form of free! Jupyter notebooks. The book was written and tested with Python 3. The book introduces the core libraries essential for working with data in Python: particularly IPython , NumPy , Pandas , Matplotlib , Scikit-Learn , and related packages.
Familiarity with Python as a language is assumed; if you need a quick introduction to the language itself, see the free companion project, A Whirlwind Tour of Python : it's a fast-paced introduction to the Python language aimed at researchers and scientists. The following listing links to the notebooks in this repository, rendered through the nbviewer service:. The code in the book was tested with Python 3. The packages I used to run the code in the book are listed in requirements.
To install the requirements using conda , run the following at the command-line:. You can read more about using conda environments in the Managing Environments section of the conda documentation.
This website contains the full text of the Python Data Science Handbook by Jake VanderPlas; the content is available on GitHub in the form of Jupyter. For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Working scientists and data crunchers familiar with reading and writing Python code will find this comprehensive desk reference ideal for tackling day-to-day.