Python data analytics : with Pandas, NumPy, and Matplotlib
Fabio Nelli (Author)
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
1 online resource (xix, 569 pages) : illustrations (some color)
9781484239131, 148423913X
1055160671
Printed edition:
An introduction to data analysis
Introduction to the Python world
The NumPy library
The pandas library : an introduction
Pandas : reading and writing data
Pandas in depth : data manipulation
Data visualization with matplotlib
Machine learning with scikit-learn
Deep learning with TensorFlow
An example : meteorological data
Embedding the JavaScript D3 library in the IPython notebook
Recognizing handwritten digits
Textual data analysis with NLTK
Image analysis and computer vision with OpenCV
Appendix A: Writing mathematical expressions with LaTeX
Appendix B: Open data sources