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Python data analytics - Fabio Nelli

Python data analytics

with Pandas, NumPy, and Matplotlib

(Autor)

Buch | Softcover
445 Seiten
2023 | 3., überarbeitete Auflage
Apress (Verlag)
978-1-4842-9531-1 (ISBN)
CHF 89,85 inkl. MwSt
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.
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 analysis

Fabio Nelli is an IT Scientific Application Specialist at IRBM Science Park, a private research center in Pomezia, Roma, Italy. He has been a computer consultant for many years at IBM, EDS, Merck Sharp, and Dohme, along with several banks and insurance companies. He has an Organic Chemistry degree and many years of experience in Information technologies and Automation systems applied to Life Sciences (Tech Specialist at Beckman Coulter Italy and Spain). He is currently developing Java applications that interface Oracle databases with scientific instrumentation generating data and web server applications providing analysis of the results to researchers in real time.

Python 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

Erscheinungsdatum
Zusatzinfo Illustrationen
Verlagsort Berkeley
Sprache englisch
Maße 178 x 254 mm
Gewicht 883 g
Einbandart kartoniert
Themenwelt Mathematik / Informatik Informatik Datenbanken
Informatik Programmiersprachen / -werkzeuge Python
Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Schlagworte Data Analysis • Data Visualization • Deep learning • Image Analysis • Keras • machine learning • OpenCV • PyTorch • Social Media Analysis • social network analysis • tensorflow • Text Mining • Theano
ISBN-10 1-4842-9531-5 / 1484295315
ISBN-13 978-1-4842-9531-1 / 9781484295311
Zustand Neuware
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