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Preface
Chapter 1 Getting Started with Python livraries
Chapter 2 Numpy Arrays
Chapter 3 The Pandas Primer
Chapter 4 Statistics and Linear Algebra
Chapter 5 Retrieving, Processing, and Storing Data
Chapter 6 Data Visualization
Chapter 7 Signal Processing and Time Series
Chapter 8 Working with Databases
Chapter 9 Analyzing Testual Data and Social Media
Chapter 10 Predictive Analytics and Machine Learning
Chapter 11 Environments Outside the Python Ecosystem and Cloud Computing
Chapter 12 Performance Tuning, Profiling, and Concurrency
Appendix A: Key Concepts
Appendix B: Useful Functions
Appendix C: Online Resources
Index
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