Python Data Analytics: With Pandas, NumPy, and Matplotlib

Data scientists and analysts who want to leverage Python for their work Anyone interested in learning more about Python and its applications in data science
Python Data Analytics, Third Edition is a comprehensive guide to using Python for data acquisition, analysis, and manipulation. It covers scientific computing with NumPy, visualization with matplotlib, machine learning with scikit-learn, and social media data analysis. The book is updated for the latest Python version and includes coverage of image analysis with OpenCV and deep learning libraries. Each chapter includes examples and exercises to help readers apply the techniques.

Format: Paperback / softback
Length: 445 pages
Publication date: 06 September 2023
Publisher: APress

Data scientists and analysts who want to leverage Python for data acquisition and analysis Anyone interested in machine learning and artificial intelligence 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.

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.

Data scientists and analysts who want to leverage Python for data acquisition and analysis.

Anyone interested in machine learning and artificial intelligence.

Weight: 883g
Dimension: 254 x 178 (mm)
ISBN-13: 9781484295311
Edition number: 3rd ed.