 |
ISBN
| 9781484239124 | |
DDC
| 005.133 | |
Tác giả CN
| Nelli, Fabio | |
Nhan đề
| Python data analytics : with Pandas, NumPy, and Matplotlib / Fabio Nelli | |
Thông tin xuất bản
| New York, NY : Apress, 2018 | |
Mô tả vật lý
| 576 p. ; cm. | |
Tóm tắt
| 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 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, Second Edition is an invaluable reference with its examples of storing, accessing, and analyzing data. | |
Thuật ngữ chủ đề
| Data mining | |
Thuật ngữ chủ đề
| Python (Computer program language) | |
Thuật ngữ chủ đề
| COMPUTERS -Programming Languages-Python | |
Khoa
| Khoa Công nghệ Thông tin | |
Địa chỉ
| Thư Viện Đại học Nguyễn Tất Thành |
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| 520 | |aExplore 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 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, Second Edition is an invaluable reference with its examples of storing, accessing, and analyzing data. |
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| 650 | |aPython (Computer program language) |
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