Superfast Python. Efficient techniques for working with large datasets
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Fast code in pure Python, optimized libraries, and hardware that allows you to take advantage of parallel data processing - this is the price of entry into the world of machine learning and big data analysis. The book you are holding in your hands offers unique acceleration techniques with a focus on big data and will be your reliable guide to optimizing Python-based solutions. You will learn how to optimize working with built-in data structures and speed up solutions through concurrent execution, as well as learn how to reduce the amount of memory occupied by data without compromising their accuracy.
By studying carefully crafted examples, you will learn how to achieve better performance of popular libraries such as NumPy and pandas, and how to efficiently process and store data. The book takes a holistic approach to improving solution efficiency, so you will learn how to optimize and scale entire systems - from code to architecture.
The book is intended for Python developers familiar with the basics of the language and principles of concurrent computing.
By studying carefully crafted examples, you will learn how to achieve better performance of popular libraries such as NumPy and pandas, and how to efficiently process and store data. The book takes a holistic approach to improving solution efficiency, so you will learn how to optimize and scale entire systems - from code to architecture.
The book is intended for Python developers familiar with the basics of the language and principles of concurrent computing.
Author:
Author:Tiago Antao
Cover:
Cover:hardcover
Category:
- Category:Computer & Technology
- Category:Science & Math
Dimensions:
Dimensions:24.1x17.5x2.3 cm
ISBN:
ISBN:978-5-93700-226-6
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