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
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