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

• Covers a wide range of data science tasks using SciPy, NumPy, pandas, and matplotlib
• Effective recipes on advanced scientific computations, statistics, data wrangling, data visualization, and more
• A must-have book if you're looking to solve your data-related problems using SciPy, on-the-go

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.

• Get a solid foundation in scientific computing using Python
• Master common tasks related to SciPy and associated libraries such as NumPy, pandas, and matplotlib
• Perform mathematical operations such as linear algebra and work with the statistical and probability functions in SciPy
• Master advanced computing such as Discrete Fourier Transform and K-means with the SciPy Stack
• Implement data wrangling tasks efficiently using pandas
• Visualize your data through various graphs and charts using matplotlib