Python for Data Analysis and Scientific Computing

Discover the power and flexibility of NumPy, SciPy and Matplotlib when dealing with heavy mathematical, engineering or scientific problems. Explore the concise and expressive use of Python’s advanced module features and apply them in probability, statistical testing, signal processing, financial forecasting and other applications. You study mathematical operations with array data structures, optimization, Probability Density Function, interpolation, fast Fourier transform, basic signal processing and other high-performance benefits.