
Sách keo gáy, bìa mềm
Thể loại:Computers - Computer Science
Năm:2018
In lần thứ:2
Ngôn ngữ:english
Trang:569 / 576
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
Who This Book Is For
Experienced Python developers who need to learn about Pythonic tools for data analysis