
Introduction to Python (Chapman & Hall/CRC The Python Series)
by: David Báez-López (Author),David Alfredo Báez Villegas(Author)
Publisher:
Edition: 1st
Publication Date: 2024/7/2
Language: English
Print Length: 452 pages
ISBN-10: 1032119101
ISBN-13: 9781032119106
Book Description
Introduction to Python: with Applications in Optimization, Image and Video Processing, and Machine Learning is intended primarily for advanced undergraduate and graduate students in quantitative sciences such as mathematics, computer science, and engineering. In addition to this, the book is written in such a way that it can also serve as a self-contained handbook for professionals working in quantitative fields including finance, IT, and many other industries where programming is a useful or essential tool.The book is written to be accessible and useful to those with no prior experience of Python, but those who are somewhat more adept will also benefit from the more advanced material that comes later in the book.FeaturesCovers introductory and advanced material. Advanced material includes lists, dictionaries, tuples, arrays, plotting using Matplotlib, object-oriented programmingSuitable as a textbook for advanced undergraduates or postgraduates, or as a reference for researchers and professionalsSolutions manual, code, and additional examples are available for download
About the Author
Introduction to Python: with Applications in Optimization, Image and Video Processing, and Machine Learning is intended primarily for advanced undergraduate and graduate students in quantitative sciences such as mathematics, computer science, and engineering. In addition to this, the book is written in such a way that it can also serve as a self-contained handbook for professionals working in quantitative fields including finance, IT, and many other industries where programming is a useful or essential tool.The book is written to be accessible and useful to those with no prior experience of Python, but those who are somewhat more adept will also benefit from the more advanced material that comes later in the book.FeaturesCovers introductory and advanced material. Advanced material includes lists, dictionaries, tuples, arrays, plotting using Matplotlib, object-oriented programmingSuitable as a textbook for advanced undergraduates or postgraduates, or as a reference for researchers and professionalsSolutions manual, code, and additional examples are available for download Read more
Introduction to Python (Chapman & Hall/CRC The Python Series)
相关推荐
Mastering Time Series Analysis and Forecasting with Python: Bridging Theory and Practice Through Insights, Techniques, and Tools for Effective Time Series Analysis in Python
The Oxford Handbook of European Romanticism
Context Engineering for Verified Output: Master Getting Verified Consistent Output Through Example Stories
Vectorization: A Practical Guide to Efficient Implementations of Machine Learning Algorithms
High Performance Polymers
The Comprehensive DevOps Interview Guide: Mastering DevOps systems for your successful interview
Speaking in the Medieval World
High Performance Polymers 2nd Edition
电子书百科大全
评论前必须登录!
立即登录 注册