【文件属性】：
文件名称：Python Data Science Handbook Essential Tools for Working with Data
文件大小：25.11MB
文件格式：ZIP
更新时间：2021-10-13 05:34:32
python data science
Who Is This Book For?
In my teaching both at the University of Washington and at various tech-focused
conferences and meetups, one of the most common questions I have heard is this:
“how should I learn Python?” The people asking are generally technically minded
students, developers, or researchers, often with an already strong background in writ‐
ing code and using computational and numerical tools. Most of these folks don’t want
to learn Python per se, but want to learn the language with the aim of using it as a
tool for data-intensive and computational science. While a large patchwork of videos,
blog posts, and tutorials for this audience is available online, I’ve long been frustrated
by the lack of a single good answer to this question; that is what inspired this book.
The book is not meant to be an introduction to Python or to programming in gen‐
eral; I assume the reader has familiarity with the Python language, including defining
functions, assigning variables, calling methods of objects, controlling the flow of a
program, and other basic tasks. Instead, it is meant to help Python users learn to use
Python’s data science stack—libraries such as IPython, NumPy, Pandas, Matplotlib,
Scikit-Learn, and related tools—to effectively store, manipulate, and gain insight
from data
【文件预览】：
Python Data Science Handbook Essential Tools for Working with Data.epub
Python Data Science Handbook Essential Tools for Working with Data.pdf