With the Sci Py Stack, you get the power to effectively process, manipulate, and visualize your data using the popular Python language. Utilizing Sci Py correctly can sometimes be a very tricky proposition. This book provides the right techniques so you can use Sci Py to perform different data science tasks with ease.
This book includes hands-on recipes for using the different components of the Sci Py Stack such as Num Py, Sci Py, 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 Sci Py 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 Sci Py without reading through the other recipes, thus making the book a very handy and useful guide.
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