Python Data Analytics : With Pandas, NumPy, and Matplotlib / by Fabio Nelli.

Format:

Book

Author/Creator:

Nelli, Fabio, Author.

Language:

English

Subjects (All):

Python (Computer program language).

Big data.

Artificial intelligence.

Python.

Big Data.

Artificial Intelligence.

Local Subjects:

Python.

Big Data.

Artificial Intelligence.

Physical Description:

1 online resource (576 pages)

Edition:

2nd ed. 2018.

Place of Publication:

Berkeley, CA : Apress : Imprint: Apress, 2018.

System Details:

text file

Summary:

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.

Contents:

1. An Introduction to Data Analysis

2. Introduction to the Python's World

3. The NumPy Library

4. The pandas Library

An Introduction

5. pandas: Reading and Writing Data

6. pandas in Depth: Data Manipulation

7. Data Visualization with matplotlib

8. Machine Learning with scikit-learn

9. Deep Learning with TensorFlow

10. An Example - Meteorological Data

11. Embedding the JavaScript D3 Library in IPython Notebook

12. Recognizing Handwritten Digits

13. Textual data Analysis with NLTK

14. Image Analysis and Computer Vision with OpenCV

Appendix A

Appendix B.

Notes:

Includes bibliographical references.

ISBN:

9781484239131

148423913X

OCLC:

1059521738