Description
Book Synopsis1. 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.
Table of ContentsPython 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
