Author: Jake VanderPlas
Publisher: "O'Reilly Media, Inc."
ISBN: 1491912138
Size: 80.76 MB
Format: PDF, ePub, Mobi
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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 Python NumPy: includes the ndarray for efficient storage and manipulation of dense data arrays in Python Pandas: features the DataFrame for efficient storage and manipulation of labeled/columnar data in Python Matplotlib: includes capabilities for a flexible range of data visualizations in Python Scikit-Learn: for efficient and clean Python implementations of the most important and established machine learning algorithms
Language: en
Pages: 548
Pages: 548
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
Language: en
Pages: 529
Pages: 529
"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
Language: en
Pages: 181
Pages: 181
This book in detail will deal with a lot of concepts in layman explanation. Data science is one of the pioneers and most fast-developing tools now to develop applications. A little to know in a better way of this guide will help you understand a lot of things for the
Language: en
Pages:
Pages:
Books about Exam Prep for: Python Data Science Handbook
Language: en
Pages:
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Language: en
Pages: 644
Pages: 644
Discover the world of python with this incredible 3-in-1 book bundle! Do you want to uncover the secrets of python data analysis, data science, and machine learning? Looking for the best ways to familiarize yourself with this amazing language, no matter your level of experience? Then this is the bundle
Language: en
Pages: 334
Pages: 334
If you're tired of licensing third-party software for data analysis, Python Data Science will help you do it for yourself! Recently, more and more companies are learning that they need to make DATA-DRIVEN decisions. And with big data and data science on the rise, we now have more data than
Language: en
Pages: 416
Pages: 416
A comprehensive overview of data science covering the analytics, programming, and business skills necessary to master the discipline Finding a good data scientist has been likened to hunting for a unicorn: the required combination of technical skills is simply very hard to find in one person. In addition, good data
Language: en
Pages: 150
Pages: 150
The complete beginner's guide to data manipulation and visualization with Python! From the basics of Python to the ins and outs of working with Pandas, NumPy and Matplotlib, this book has everything for those looking to get started with Python. Inside you will learn: A brief crash course in Python
Language: en
Pages: 452
Pages: 452
Presents case studies and instructions on how to solve data analysis problems using Python.