Python Data Analytics: With Pandas, NumPy, and Matplotlib

ISBN-13: 9781484295311 / Miękka / 2023 / 540 str.

Fabio Nelli

Spis treści

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

O autorze

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.