Python Data Analytics: With Pandas, NumPy, and Matplotlib
Apress, 27/09/2018 - 569 páginas
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 revision is fully updated with new content on 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
What You'll Learn
Experienced Python developers who need to learn about Pythonic tools for data analysis
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An Example Meteorological Data
Recognizing Handwritten Digits
Textual Data Analysis with NLTK
Image Analysis and Computer Vision with OpenCV
Writing Mathematical Expressions with LaTeX
Open Data Sources
Deep Learning with TensorFlow
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