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“The book is aimed primarily at intermediate or advanced Python programmers … . this work is a generally sound and comprehensive overview of the areas it covers. We recommend it to Python programmers interested in growing in these areas or experts in these areas interested in learning how to ...
While some of the material (e.g., lambdas) may not be new to even moderately experienced Python programmers, the book shows how these elements are valuable to advanced programmers. Even if you’ve used these Python features before, the book will show you how to build more robust programs ...
There is no doubt that Python is currently the world’s #1 programming language and the biggest advantage of that is it’s bringing more and more people into the programming world.
Part 3 Advanced language features Read in liveBook 17.Regular expressions Read in liveBook 18.Packages Read in liveBook 19.Data types as objects Read in liveBook 20.Advanced object-oriented features Part 4 Where can you go from here?
Proficient in Android development, IOS development, HTML, CSS, JavaScript, React, Angular, MySQL, and MongoDB, he’s committed to enhancing user experiences through intuitive websites and advanced mobile applications.Recommended Videos Python Interview Questions And Answers Numpy Interview Questions For ...
This course coversPython 3and its based on a text book of same titlePython for Everybody, if you like to learn from book you can also checkout that book. The course will teach Python from very basic like what is variable, data type, function, module and so one which makes it an idea...
ThebookwouldappealtowebdevelopersandPythonprogrammerswhowanttostartusingversion3.5andwritecodeefficiently.BasicknowledgeofPythonprogrammingisexpected. 加入书架 开始阅读 手机扫码读本书 书籍信息 目录(105章) 最新章节 【正版无广】Index Summary Behavioral patterns Structural patterns Creational patterns ...
Expert Python Programming Master Python by learning the best coding practices and advanced programming concepts, 4th Edition .epub (访问密码: 2274) 数据科学&数据分析 [Data Science from Scratch: First Principles with Python 要真正学习数据科学,你不仅要掌握工具--数据科学库、框架、模块和工具包,还要理解...
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