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Learning IPython for Interactive Computing and Data Visualization
IPython provides a rich architecture for interactive computing, and as a Python developer you can take advantage of this practical hands-on guide to make yourself an expert. Covers numerical computing, data analysis, and more.
Overview
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A practical step-by-step tutorial which will help you to replace the...
| | NumPy Beginner's Guide - Second Edition
An action packed guide using real world examples of the easy to use, high performance, free open source NumPy mathematical library
Overview
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Perform high performance calculations with clean and efficient NumPy code
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Analyze large data sets with statistical functions
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Execute...
| | NumPy 1.5 Beginner's Guide
An action packed guide for the easy-to-use, high performance, free open source NumPy mathematical library using real-world examples
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The first and only book that truly explores NumPy practically
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Perform high performance calculations with clean and efficient NumPy code
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Analyze large data sets...
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| | Python: Data Analytics and Visualization
Understand, evaluate, and visualize data About This Book - Learn basic steps of data analysis and how to use Python and its packages - A step-by-step guide to predictive modeling including tips, tricks, and best practices - Effectively visualize a broad set of analyzed data and generate effective results Who This Book Is For This book is for... | | Python Data Science Handbook: Essential Tools for Working with Data
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,... |
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