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Showing 18 books on Numerical Programming and Data Mining

Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python

by Peter Bruce

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Statistical methods are a key part of data science, yet few data scientists have formal statistical training. Courses and books on basic statistics rarely cover the topic from a data science perspe...
Published on : June 2, 2020
Python version: TH
368 pages

Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython

by Wes McKinney

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Looking for complete instructions on manipulating, processing, cleaning, and crunching structured data in Python? The second edition of this hands-on guide—updated for Python 3.5 and Pandas 1.0—is ...
Published on : Oct. 20, 2017
Python version: TH
550 pages

Doing Math with Python: Use Programming to Explore Algebra, Statistics, Calculus, and More!

by Amit Saha

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Doing Math with Python shows you how to use Python to delve into high school—level math topics like statistics, geometry, probability, and calculus. You'll start with simple projects, like a factor...
Published on : Aug. 1, 2015
Python version: TH
264 pages

Python for Excel: A Modern Environment for Automation and Data Analysis

by Felix Zumstein

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While Excel remains ubiquitous in the business world, recent Microsoft feedback forums are full of requests to include Python as an Excel scripting language. In fact, it's the top feature requested...
Published on : March 30, 2021
Python version: TH
338 pages

Think Stats: Exploratory Data Analysis

by Allen B. Downey

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If you know how to program, you have the skills to turn data into knowledge, using tools of probability and statistics. This concise introduction shows you how to perform statistical analysis compu...
Published on : Oct. 27, 2014
Python version: BO
226 pages
Available for free here

Pandas for Everyone: Python Data Analysis

by Daniel Y. Chen

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Today, analysts must manage data characterized by extraordinary variety, velocity, and volume. Using the open source Pandas library, you can use Python to rapidly automate and perform virtually any...
Published on : Jan. 5, 2018
Python version: TH
412 pages

Modeling Techniques in Predictive Analytics with Python and R: A Guide to Data Science

by Thomas W. Miller

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This one-of-a-kind book will help you use predictive analytics, Python, and R to solve real business problems and drive real competitive advantage. You’ll master predictive analytics through realis...
Published on : Oct. 11, 2014
Python version: BO
448 pages

Python Data Science Handbook: Essential Tools for Working with Data

by Jake VanderPlas

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The Python Data Science Handbook provides a reference to the breadth of computational and statistical methods that are central to data-intensive science, research, and discovery. People with a prog...
Published on : Dec. 10, 2016
Python version: TH
548 pages

Pandas Cookbook: Recipes for Scientific Computing, Time Series Analysis and Data Visualization using Python

by Theodore Petrou

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This book will provide you with unique, idiomatic, and fun recipes for both fundamental and advanced data manipulation tasks with pandas. Some recipes focus on achieving a deeper understanding of b...
Published on : Oct. 23, 2017
Python version: TH
538 pages

Data Mining for Business Analytics: Concepts, Techniques and Applications in Python

by Galit Shmueli

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This is the sixth version of this successful text, and the first using Python. It covers both statistical and machine learning algorithms for prediction, classification, visualization, dimension re...
Published on : Nov. 5, 2019
Python version: TH
608 pages

Think Bayes: Bayesian Statistics in Python

by Allen B. Downey

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If you know how to program with Python and also know a little about probability, you’re ready to tackle Bayesian statistics. With this book, you'll learn how to solve statistical problems with Pyth...
Published on : Oct. 4, 2013
Python version: TW
214 pages
Available for free here

Complex Network Analysis in Python: Recognize - Construct - Visualize - Analyze - Interpret

by Dmitry Zinoviev

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Construct, analyze, and visualize networks with networkx, a Python language module. Network analysis is a powerful tool you can apply to a multitude of datasets and situations. Discover how to work...
Published on : Jan. 29, 2018
Python version: TH
262 pages

Elegant SciPy: The Art of Scientific Python

by Juan Nunez-Iglesias

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Welcome to Scientific Python and its community! With this practical book, you'll learn the fundamental parts of SciPy and related libraries, and get a taste of beautiful, easy-to-read code that you...
Published on : Aug. 31, 2017
Python version: TH
280 pages

A Student's Guide to Python for Physical Modeling

by Jesse M. Kinder

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Python is a computer programming language that is rapidly gaining popularity throughout the sciences. This fully updated edition of A Student's Guide to Python for Physical Modeling aims to help yo...
Published on : Jan. 30, 2018
Python version: TH
168 pages

Data Visualization with Python and JavaScript: Scrape, Clean, Explore & Transform Your Data

by Kyran Dale

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Learn how to turn raw data into rich, interactive web visualizations with the powerful combination of Python and JavaScript. With this hands-on guide, author Kyran Dale teaches you how build a basi...
Published on : July 22, 2016
Python version: TW
592 pages

Mastering matplotlib

by Duncan M. McGreggor

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If you are a scientist, programmer, software engineer, or student who has working knowledge of matplotlib and now want to extend your usage of matplotlib to plot complex graphs and charts and handl...
Published on : June 29, 2015
Python version: TH
314 pages

Python for Data Science For Dummies

by John Paul Mueller

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Python is the preferred programming language for data scientists and combines the best features of Matlab, Mathematica, and R into libraries specific to data analysis and visualization. Python for ...
Published on : July 7, 2015
Python version: TW
432 pages

Python for Scientists

by John M. Stewart

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Scientific Python is a significant public domain alternative to expensive proprietary software packages. This book teaches from scratch everything the working scientist needs to know using copious,...
Published on : Aug. 21, 2017
Python version: TW
270 pages