December 2017
Intermediate to advanced
386 pages
10h 42m
English
Overview
Dive into the world of scientific computing with 'SciPy Recipes', a practical guide tailored for anyone seeking hands-on experience with the SciPy stack. With over 110 detailed recipes, you'll gain expertise in handling real-world data challenges, from statistical computations to crafting intricate visualizations and beyond.
What this Book will help me do
- Learn to use the SciPy Stack libraries like NumPy, pandas, and matplotlib effectively for scientific computing tasks.
- Master data wrangling techniques using pandas for efficient data manipulation.
- Understand the process of creating informative visualizations using matplotlib.
- Perform advanced statistical and numerical computations with simplicity.
- Solve real-world problems like numerical analysis and linear algebra using SciPy components.
Author(s)
None Martins, Ruben Oliva Ramos, and V Kishore Ayyadevara bring years of experience in scientific computing and Python programming to this book. Individually, they have contributed extensively to the implementation of computational tools and systems. Together, they've crafted this book to be both accessible to learners and insightful for practitioners, blending instruction with real-world practical applications.
Who is it for?
This book is designed for Python developers, data scientists, and analysts eager to venture into scientific computing. If you have a basic understanding of Python and aspire to effectively manipulate and visualize data using the SciPy stack, this book is perfect for you. It's equally beneficial for those who seek practical solutions to complex computational challenges. Begin your journey into scientific computing with this essential guide.
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