Python Data Analysis is an easy-to-follow guide with realistic examples that are frequently used in real-world data analysis projects. Perform advanced, high-performance linear algebra and mathematical calculations with clean and efficient Python code. (Limited-time offer)
Topics included: Getting started with python libraries • Numpy arrays • The pandas primer • Statistics and linear algebra • Retrieving, processing, and storing data • Data visualization • Signal processing and time series • Working with databases • Analyzing textual data and social media • Predictive analytics and machine learning • Environments outside the python ecosystem and cloud computing • Performance tuning, profiling, and concurrency.
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Publisher: Packt Publishing
Published: March 2017
File size: –
Number of pages: 330
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Free as of 02/10/2019.