Hands-On Data Analysis with NumPy and pandas: Implement Python packages from data manipulation to processing

Hands-On Data Analysis with NumPy and pandas: Implement Python packages from data manipulation to processing

By 作者: Curtis Miller
ISBN-10 书号: 1789530792
ISBN-13 书号: 9781789530797
Release Finelybook 出版日期: 2018-06-29
pages 页数: 168

$29.99


Book Description to Finelybook sorting

Python, a multi-paradigm programming language, has become the language of choice for data scientists for visualization, data analysis, and machine learning.
Hands-On Data Analysis with NumPy and Pandas starts by guiding you in setting up the right environment for data analysis with Python, along with helping you install the correct Python distribution. In addition to this, you will work with the Jupyter notebook and set up a database. Once you have covered Jupyter, you will dig deep into Python’s NumPy package, a powerful extension with advanced mathematical functions. You will then move on to creating NumPy arrays and employing different array methods and functions. You will explore Python’s pandas extension which will help you get to grips with data mining and learn to subset your data. Last but not the least you will grasp how to manage your datasets by sorting and ranking them.
By the end of this book, you will have learned to index and group your data for sophisticated data analysis and manipulation.
Contents
1: SETTING UP A PYTHON DATA ANALYSIS ENVIRONMENT
2: DIVING INTO NUMPY
3: OPERATIONS ON NUMPY ARRAYS
4: PANDAS ARE FUN! WHAT IS PANDAS?
5: ARITHMETIC, FUNCTION APPLICATION, AND MAPPING WITH PANDAS
6: MANAGING, INDEXING, AND PLOTTING
What You Will Learn
Understand how to install and manage Anaconda
Read, sort, and map data using NumPy and pandas
Find out how to create and slice data arrays using NumPy
Discover how to subset your DataFrames using pandas
Handle missing data in a pandas DataFrame
Explore hierarchical indexing and plotting with pandas
Authors
Curtis Miller
Curtis Miller is a graduate student at the University of Utah, seeking an Master’s in Statistics (MSTAT) and a Big Data Certificate.
In the past, Curtis has worked as a Math Tutor, and has a double major adding mathematics with an emphasis in statistics as a second major.
Curtis has studied the gender pay gap, and presented his paper or Gender Pay Disparity in Utah, which grabbed the attention of local media outlets.
He currently teaches Basic Statistics at the University of Utah. He enjoys writing and is an avid reader, and enjoys studying politics, economics, history, and psychology and sociology.

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Hands-On Data Analysis with NumPy and Pandas
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