HomeComputers & TechnologyPython Data Analytics: With Pandas, NumPy, and Matplotlib
Skip to product information
1 of 1

Python Data Analytics: With Pandas, NumPy, and Matplotlib

paperbackSeptember 28, 2018
Regular price $46.84 USD
Regular price Sale price $46.84 USD
Sale Sold out
Shipping calculated at checkout.
Secure Checkout
Quality Guaranteed
New In Stock
ISBN-13: 9781484239124 ISBN-10: 1484239121
Publisher
Apress
Binding
paperback
Published
September 28, 2018
Weight
2.2 lbs
Dimensions
25.40×3.40×17.80 cm

About this book

Python Data Analytics: With Pandas, NumPy, and Matplotlib by Nelli, Fabio. paperback edition. ISBN: 9781484239124.

Explore the latest Python tools and techniques to help you tackle the world of data acquisition and analysis. Youll 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 youve 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 Youll 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