09-20-2016 , 10:59 AM
September 20 2016
Learning SciPy for Numerical and Scientific Computing
For solving complex problems in mathematics, science, or engineering, SciPy is the solution. Building on your basic knowledge of Python, and using a wealth of examples from many scientific fields, this book is your expert tutor.
What You Will Learn
Learning SciPy for Numerical and Scientific Computing
For solving complex problems in mathematics, science, or engineering, SciPy is the solution. Building on your basic knowledge of Python, and using a wealth of examples from many scientific fields, this book is your expert tutor.
What You Will Learn
- Learn to store and manipulate large arrays of data in any dimension
- Accurately evaluate any mathematical function in any given dimension, as well as its integration, and solve systems of ordinary differential equations with ease
- Learn to deal with sparse data to perform any known interpolation, extrapolation, or regression scheme on it
- Perform statistical analysis, hypothesis test design and resolution, or data mining at high level, including clustering (hierarchical or through vector quantization), and learn to apply them to real-life problems