Python Data Analytics - With Pandas, NumPy, and Matplotlib (3rd Edition)

Explore the latest Python tools and techniques to help you tackle the world of data acquisition and analysis. You'll review scientific computing with NumPy, visualization with matplotlib, and machine learning with scikit-learn. This third edition is fully updated for the latest version of Pytho...

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Hlavní autor: Nelli, Fabio
Médium: E-kniha
Jazyk:angličtina
Vydáno: Berkeley, CA Apress, an imprint of Springer Nature 2023
Apress
Apress L. P
Vydání:3
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ISBN:1484295315, 9781484295311, 1484295323, 9781484295328
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Shrnutí:Explore the latest Python tools and techniques to help you tackle the world of data acquisition and analysis. You'll review scientific computing with NumPy, visualization with matplotlib, and machine learning with scikit-learn. This third edition is fully updated for the latest version of Python and its related libraries, and includes coverage of social media data analysis, image analysis with OpenCV, and deep learning libraries. Each chapter includes multiple examples demonstrating how to work with each library. At its heart lies the coverage of pandas, for high-performance, easy-to-use data structures and tools for data manipulation Author Fabio Nelli expertly demonstrates using Python for data processing, management, and information retrieval. Later chapters apply what you've learned to handwriting recognition and extending graphical capabilities with the JavaScript D3 library. Whether you are dealing with sales data, investment data, medical data, web page usage, or other data sets, Python Data Analytics, Third Edition is an invaluable reference with its examples of storing, accessing, and analyzing data. What You'll LearnUnderstand the core concepts of data analysis and the Python ecosystemGo in depth with pandas for reading, writing, and processing dataUse tools and techniques for data visualization and image analysisExamine popular deep learning libraries Keras, Theano,TensorFlow, and PyTorchWho This Book Is For Experienced Python developers who need to learn about Pythonic tools for data analysis
ISBN:1484295315
9781484295311
1484295323
9781484295328
DOI:10.1007/978-1-4842-9532-8