E-book details

SciPy Recipes. A cookbook with over 110 proven recipes for performing mathematical and scientific computations

SciPy Recipes. A cookbook with over 110 proven recipes for performing mathematical and scientific computations

Luiz Felipe Martins, V Kishore Ayyadevara, Ruben Oliva Ramos

Ebook
With the SciPy Stack, you get the power to effectively process, manipulate, and visualize your data using the popular Python language. Utilizing SciPy correctly can sometimes be a very tricky proposition. This book provides the right techniques so you can use SciPy to perform different data science tasks with ease.
This book includes hands-on recipes for using the different components of the SciPy Stack such as NumPy, SciPy, matplotlib, and pandas, among others. You will use these libraries to solve real-world problems in linear algebra, numerical analysis, data visualization, and much more. The recipes included in the book will ensure you get a practical understanding not only of how a particular feature in SciPy Stack works, but also of its application to real-world problems. The independent nature of the recipes also ensure that you can pick up any one and learn about a particular feature of SciPy without reading through the other recipes, thus making the book a very handy and useful guide.
  • 1. Getting to know the tools
  • 2. Getting Started with NumPy
  • 3. Using Matplotlib to Create Graphs
  • 4. Data Wrangling with Pandas
  • 5. Matrices and Linear Algebra
  • 6. Solving equations and optimization
  • 7. Constants and special functions
  • 8. Calculus, Interpolation and Differential Equations
  • 9. Statistics and Probability
  • 10. Advanced computations with Scipy
  • Title: SciPy Recipes. A cookbook with over 110 proven recipes for performing mathematical and scientific computations
  • Author: Luiz Felipe Martins, V Kishore Ayyadevara, Ruben Oliva Ramos
  • Original title: SciPy Recipes. A cookbook with over 110 proven recipes for performing mathematical and scientific computations
  • ISBN: 9781788295819, 9781788295819
  • Date of issue: 2017-12-20
  • Format: Ebook
  • Item ID: e_15u7
  • Publisher: Packt Publishing