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Book details
Format: pdf
File Size: 13 MB
Print Length: 592 pages
Publisher: Apress; 2 edition (27 September 2018)
Sold by: Amazon Asia-Pacific Holdings Private Limited
Language: English
ASIN: B07FT6FB6Y
Who This Book Is For: Experienced Python developers who need to learn about Pythonic tools for data analysis
About the Book
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.
What You’ll Learn
Understand the core concepts of data analysis and the Python ecosystem
Go in-depth with pandas for reading, writing, and processing data
Use tools and techniques for data visualization and image analysis
Examine popular deep learning libraries Keras, Theano,TensorFlow, and PyTorch
Book details
Format: pdf
File Size: 13 MB
Print Length: 592 pages
Publisher: Apress; 2 edition (27 September 2018)
Sold by: Amazon Asia-Pacific Holdings Private Limited
Language: English
ASIN: B07FT6FB6Y
Who This Book Is For: Experienced Python developers who need to learn about Pythonic tools for data analysis
About the Book
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.
What You’ll Learn
Understand the core concepts of data analysis and the Python ecosystem
Go in-depth with pandas for reading, writing, and processing data
Use tools and techniques for data visualization and image analysis
Examine popular deep learning libraries Keras, Theano,TensorFlow, and PyTorch