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| | | | Exploring Abstract Algebra With Mathematica®
This upper-division laboratory supplement for courses in abstract algebra consists of several Mathematica packages programmed as a foundation for group and ring theory. Additionally, the "user's guide" illustrates the functionality of the underlying code, while the lab portion of the book reflects the contents of the... |
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Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython
Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.6, the second edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You’ll learn the latest versions of pandas,... | | Spark for Python Developers
Key Features
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Set up real-time streaming and batch data intensive infrastructure using Spark and Python
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Deliver insightful visualizations in a web app using Spark (PySpark)
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Inject live data using Spark Streaming with real-time events
Book Description
Looking... | | Data Analysis with Python: A Modern Approach
Learn a modern approach to data analysis using Python to harness the power of programming and AI across your data. Detailed case studies bring this modern approach to life across visual data, social media, graph algorithms, and time series analysis.
Key Features
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Bridge your data analysis...
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