Summary Of Python Data Analytics

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.

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