Mark LutzDavid AscherOreilly
Learning Python, 5th Edition的创作者 ··· Mark Lutz 作者 作者简介 ··· Mark Lutz is a leading Python trainer, the author of Python’s earliest and best-selling texts, and a pioneering figure in the Python world. Mark is the author of the three O’Reilly books: Learning Python,...
Learning Python 作者:Mark Lutz 出版社:O'Reilly Media 副标题:Powerful Object-Oriented Programming 出版年:2009-10-9 页数:1216 定价:USD 54.99 装帧:Paperback ISBN:9780596158064 豆瓣评分 8.2 223人评价 5星 35.0% 4星 45.7% 3星 16.1% 2星 1.3%...
Learning Python, 5th Editionby Mark Lutz Released June 2013Publisher(s): O'Reilly Media, Inc.ISBN: 9781449355739Read it now on the O’Reilly learning platform with a 10-day free trial. O’Reilly members get unlimited access to books, live events, courses curated by job role, and more ...
LearningPython4thEdition.pdf 英文原版 Learning Python 4th Edition[奥莱理] Learning Python 5th Edition 《奥莱理Learning Python 5th Edition》是Python编程领域一本经典的教材,由Tim O'Reilly出版,作者对自由软件和开源软件有着深厚的背景和理解。"web 2.0"这一概念也是由他首次提出的,这使得他在技术领域有着...
O'Reilly's How to make mistakes in Python Education of a Programmer: a developer's thoughts after 35 years in the industry. There's a particularly good section about design & complexity (see "the end to end argument", "layering and componentization"). Domain-driven design, Wikipedia. On ...
PyCUDA - Python interface to CUDA ROOT - A modular scientific software framework. It provides all the functionalities needed to deal with big data processing, statistical analysis, visualization and storage. shark - A fast, modular, feature-rich open-source C++ machine learning library. Shogun - ...
https://learning.oreilly.com/library/view/learning-algorithms/9781492091059/ch04.html#idm46327309060360learning.oreilly.com/library/view/learning-algorithms/9781492091059/ch04.html#idm46327309060360 的第四章节 Heap 这里不对基础知识展开过多阐述,熟悉enqueue和dequeue的应该读起来不困难 ...
这本书是介绍深度强化学习的,使用python,非常新,2020年出版的,761页,github有代码,貌似没有中文版。 介绍深度学习的书籍有很多,比如Richard Shutton的Reinforcement Learning, An Introduction, 2nd editio…
Python module are exposed as Pandas data frames. More information on Python Pandas and how it can be used to manipulate data effectively and efficiently can be found in Python for Data Analysis (Sebastopol, CA.: O'Reilly, 2012) by W. McKinney. The function must return a single Pandas data...