Product Information
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 analysisProduct Identifiers
PublisherApress L. P.
ISBN-101484239121
ISBN-139781484239124
eBay Product ID (ePID)4038723288
Product Key Features
Number of PagesXix, 569 Pages
LanguageEnglish
Publication NamePython Data Analytics : with Pandas, Numpy, and Matplotlib
Publication Year2018
SubjectIntelligence (Ai) & Semantics, Databases / Data Mining, Databases / General, Programming Languages / Python
TypeTextbook
Subject AreaComputers
AuthorFabio Nelli
Dimensions
Item Weight39.2 Oz
Item Length10 in
Additional Product Features
Edition Number2
Dewey Edition23
Number of Volumes1 Vol.
IllustratedYes
Dewey Decimal005.133
Lc Classification NumberQa76.73.P98
Table of ContentPython Data Analytics 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