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Python Data Analytics: With Pandas, NumPy, and Matplotlib
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. Reading and Writing Data 6. pandas in 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
1. An Introduction to Data Analysis 2. Introduction to the Python's World 3. The NumPy Library 4. The pandas Library-- An Introduction 5. Reading and Writing Data 6. pandas in 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
592 pages, Paperback
Published October 4, 2018
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