Description
Python Data Analytics (3rd Ed., 3rd ed.)
With Pandas, NumPy, and Matplotlib
Author: Nelli Fabio
Language: EnglishSubjects for Python Data Analytics:
445 p. · 17.8x25.4 cm · Paperback
Description
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- 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
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.