Key Features
Book Description
What you will learn
- Install open source Python modules on various platforms
- Get to know about the fundamentals of NumPy including arrays
- Manipulate data with pandas
- Retrieve, process, store, and visualize data
- Understand signal processing and timeseries data analysis
- Work with relational and NoSQL databases
- Discover more about data modeling and machine learning
- Get to grips with interoperability and cloud computing
Who this book is for
Table of Contents
- Getting Started
- NumPy Arrays
- Statistics and Linear Algebra
- Pandas Primer
- Retrieving, Processing and Storing Data
- Data Visualization
- Signal Processing and Time-series
- Working with databases
- Analyzing Textual Data and Social Media
- Predictive Analytics and Machine Learning
- Environments outside of the Python ecosystem and Cloud Computing
- Performance Tuning, Profiling and Concurrency
- Appendix A
- Appendix B
- Appendix C
- Preface
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