python from novice to expert

最新推荐文章于 2025-08-23 20:28:56 发布
最新推荐文章于 2025-08-23 20:28:56 发布
阅读量509 收藏
点赞数
文章标签： python border float
此博客介绍了一个图书详情页面的构建方式，页面中包含图书封面链接，通过特定格式的HTML代码实现了图书封面图片的展示，并设置合适的样式使其美观。

摘要生成于 C知道 ，由 DeepSeek-R1 满血版支持， 前往体验 >

 <a href="http://www.bookfm.com/book/bookdetail.html?bookid=100049"><img src="http://image.bookfm.com/book/100001-110000/100049/cover/small.png" style="float:left;padding:0 10px 10px 0;border:0"/></a>

python 参数传递
jacke121的专栏
10-21 2635
python 参数传递
Python Journey from Novice to Expert 无水印pdf 0分
03-19
Python Journey from Novice to Expert 英文无水印pdf pdf所有页面使用FoxitReader和PDF-XChangeViewer测试都可以打开
Packt.Python.Journey.from.Novice.to.Expert.2016
03-09
About This Book Develop a strong set of programming skills with Pyhton that you will be able to express in any situation, on every platform, thanks to Python's portability Stop writing scripts and start architecting programs by applying object-oriented programming techniques in Python Learn the trickier aspects of Python and put it in a structured context for deeper understanding of the language Who This Book Is For This course is meant for programmers who wants to learn Python programming from a basic to an expert level. The course is mostly self-contained and introduces Python programming to a new reader and can help him become an expert in this trade. What You Will Learn Get Python up and running on Windows, Mac, and Linux in no time Grasp the fundamental concepts of coding, along with the basics of data structures and control flow Understand when to use the functional or the object-oriented programming approach Extend class functionality using inheritance Exploit object-oriented programming in key Python technologies, such as Kivy and Django Understand how and when to use the functional programming paradigm Use the multiprocessing library, not just locally but also across multiple machines In Detail Python is a dynamic and powerful programming language, having its application in a wide range of domains. It has an easy-to-use, simple syntax, and a powerful library, which includes hundreds of modules to provide routines for a wide range of applications, thus making it a popular language among programing enthusiasts.This course will take you on a journey from basic programming practices to high-end tools and techniques giving you an edge over your peers. It follows an interesting learning path, divided into three modules. As you complete each one, you'll have gained key skills and get ready for the material in the next module.The first module will begin with exploring all the essentials of Python programming in an easy-to-understand way. This will lay a good foundation for those who are interested in digging deeper. It has a practical and example-oriented approach through which both the introductory and the advanced topics are explained. Starting with the fundamentals of programming and Python, it ends by exploring topics, like GUIs, web apps, and data science.In the second module you will learn about object oriented programming techniques in Python. Starting with a detailed analysis of object-oriented technique and design, you will use the Python programming language to clearly grasp key concepts from the object-oriented paradigm. This module fully explains classes, data encapsulation, inheritance, polymorphism, abstraction, and exceptions with an emphasis on when you can use each principle to develop well-designed software.With a good foundation of Python you will move onto the third module which is a comprehensive tutorial covering advanced features of the Python language. Start by creating a project-specific environment using venv. This will introduce you to various Pythonic syntax and common pitfalls before moving onto functional features and advanced concepts, thereby gaining an expert level knowledge in programming and teaching how to script highest quality Python programs. Style and approach This course follows a theory-cum-practical approach having all the ingredients that will help you jump into the field of Python programming as a novice and grow-up as an expert. The aim is to create a smooth learning path that will teach you how to get started with Python and carry out expert-level programming techniques at the end of course. Table of Contents Module 1: Learning Python Chapter 1: Introduction and First Steps – Take a Deep Breath Chapter 2: Built-in Data Types Chapter 3: Iterating and Making Decisions Chapter 4: Functions, the Building Blocks of Code Chapter 5: Saving Time and Memory Chapter 6: Advanced Concepts – OOP, Decorators, and Iterators Chapter 7: Testing, Profiling, and Dealing with Exceptions Chapter 8: The Edges – GUIs and Scripts Chapter 9: Data Science Chapter 10: Web Development Done Right Chapter 11: Debugging and Troubleshooting Chapter 12: Summing Up – A Complete Example Module 2: Python 3 Object-Oriented Programming Chapter 1: Object-oriented Design Chapter 2: Objects in Python Chapter 3: When Objects Are Alike Chapter 4: Expecting the Unexpected Chapter 5: When to Use Object-oriented Programming Chapter 6: Python Data Structures Chapter 7: Python Object-oriented Shortcuts Chapter 8: Strings and Serialization Chapter 9: The Iterator Pattern Chapter 10: Python Design Patterns I Chapter 11: Python Design Patterns II Chapter 12: Testing Object-oriented Programs Chapter 13: Concurrency Module 3: Mastering Python Chapter 1: Getting Started – One Environment per Project Chapter 2: Pythonic Syntax, Common Pitfalls, and Style Guide Chapter 3: Containers and Collections – Storing Data the Right Way Chapter 4: Functional Programming – Readability Versus Brevity Chapter 5: Decorators – Enabling Code Reuse by Decorating Chapter 6: Generators and Coroutines – Infinity, One Step at a Time Chapter 7: Async IO – Multithreading without Threads Chapter 8: Metaclasses – Making Classes (Not Instances) Smarter Chapter 9: Documentation – How to Use Sphinx and reStructuredText Chapter 10: Testing and Logging – Preparing for Bugs Chapter 11: Debugging – Solving the Bugs Chapter 12: Performance – Tracking and Reducing Your Memory and CPU Usage Chapter 13: Multiprocessing – When a Single CPU Core Is Not Enough Chapter 14: Extensions in C/C++, System Calls, and C/C++ Libraries Chapter 15: Packaging – Creating Your Own Libraries or Applications Title: Python: Journey from Novice to Expert Author: Dusty Phillips, Fabrizio Romano, Rick van Hattem Length: 1311 pages Edition: 1 Language: English Publisher: Packt Publishing Publication Date: 2016-08-31 ISBN-10: B01LD8K8WW
learn Python: Journey.from.Novice.to.Expert
06-03
learn Python: Journey from.Novice to Expert(英文原版，高清，带书签，PDF格式)
《开始Ubuntu Linux之旅——从新手到专家》(Beginning Ubuntu Linux: From Novice to Professional)
学习........
04-20 890
中文名称：开始Ubuntu Linux之旅——从新手到专家英文名称：Beginning Ubuntu Linux: From Novice to Professional发行时间：2006年03月15日地区：美国语言：英语简介：Book DescriptionBeginning Ubuntu Linux: From Novice to Professional is the best-sellin
Beginning Game Development with Python and Pygame: From Novice to Professional
TopMVP
12-20 1225
版权声明：原创作品，允许转载，转载时请务必以超链接形式标明文章原始出版、作者信息和本声明。否则将追究法律责任。http://blog.youkuaiyun.com/topmvp - topmvpLike music and movies, video games are rapidly becoming an integral part of our lives. Over the years, youve
Python极速入门的多本最佳书籍，不可错过的Python学习资料！
qun821871075的博客
12-24 590
Python作为现在很热门的一门编程语言，介于Python的友好，许多的初学者都将其作为首选，为了帮助大家更好的学习Python，我筛选了2年内优秀的python书籍，个别经典的书籍扩展到5年内。 python现在的主流版本是3.7(有明显性能提升，强烈推荐) 3.6, 不基于这两个或者更新版本的书，慎重选择。很多库已经不提供python2支持，请尽快从python迁移到python3.7。...
Python 200+英文书单及下载
double_zen的博客
04-13 3318
part01： Advanced Machine Learning with Python,John Hearty,2016 An Introduction to Python and Computer Programming,Yue Zhang,2015 Applied Text Analysis with Python,Benjamin Bengfort & Rebecca Bilbr...
Python参考书籍
07-14 369
Python参考书籍
Python参考书籍介绍，进一步提高Python基础_python图书简介
2401_84139624的博客
04-29 631
现在能在网上找到很多很多的学习资源，有免费的也有收费的，当我拿到1套比较全的学习资源之前，我并没着急去看第1节，我而是去审视这套资源是否值得学习，有时候也会去问一些学长的意见，如果可以之后，我会对这套学习资源做1个学习计划，我的学习计划主要包括规划图和学习进度表。分享给大家这份我薅到的免费视频资料，质量还不错，大家可以跟着学习网上学习资料一大堆，但如果学到的知识不成体系，遇到问题时只是浅尝辄止，不再深入研究，那么很难做到真正的技术提升。需要这份系统化学习资料的朋友，可以戳这里无偿获取。
python进阶指南(参考书籍)
纵横千里 捭阖四方 的专栏
10-12 193
网上看到有个人总结了python进阶教程，这里做个记录吧。不过，先说再前面，精读1本书胜于泛读10本，因此要选对书，然后认真读，细细读。
java基础知识总结
yvya_的博客
08-19 1764
java 基础包含语法、面向对象，异常处理、文件操作等方面。
爬小红书图片软件：根据搜索关键词，采集笔记图片、正文、评论等
最新发布
python死忠3016的博客
08-23 151
摘要：一款基于Python开发的小红薯笔记采集工具，支持通过关键词采集笔记图片、正文及评论等内容。
【GPT入门】第49课 LlamaFacotory 训练千问
spark_dev的博客
08-20 939
避坑经验：发现先安装vllm后安装LlamaFactory有依赖冲突，改为先安装LlamaFacotory后安装vllm。直接安装 2.2.0，这个安装有点久，耐心等。合并原模型与lora训练结果。autodl的学术加速。训练后，目录结构与大小。
数据分析编程 - 从入门到精通
smilejingwei的博客
08-20 505
在当今这个数据驱动的时代，数据分析已成为各行各业不可或缺的核心能力。从商业决策到科学研究，从金融预测到医疗健康，数据中蕴藏的洞见正在重塑我们的世界。然而，面对海量数据和复杂分析需求，传统的数据处理工具已显得力不从心，编程能力正逐渐成为数据分析师的必备技能。
数据预处理数据清洗准备篇-------pandas库的缺失值处理方法
Sunhen_Qiletian的博客
08-20 1375
解析引擎，可选 'c' (C语言引擎，更快) 或 'python' (Python引擎，功能更全)：填充方法 ('backfill', 'bfill', 'pad', 'ffill', None)：0 或 'index' (检查每列)，1 或 'columns' (检查每行)：0 或 'index' (删除行)，1 或 'columns' (删除列)：'any' (有缺失就删除) 或 'all' (全部为缺失才删除)：文件编码，如 'gbk', 'utf-8' 等。
无广告水印版《 Beginning Python: From Novice to Professional》
"这是一本名为《Beginning Python: From Novice to Professional》的书籍，作者是Magnus Lie Hetland，该书的第二版专注于帮助初学者到专业人士掌握Python编程。书籍的特点是无广告水印，提供了清晰的多级目录书签，...
评论
添加红包

请填写红包祝福语或标题

个

红包个数最小为10个

元

红包金额最低5元

当前余额3.43元 前往充值 >
需支付：10.00元
成就一亿技术人!
领取后你会自动成为博主和红包主的粉丝 规则
hope_wisdom
发出的红包
实付元
使用余额支付
点击重新获取
扫码支付
钱包余额 0

抵扣说明：

1.余额是钱包充值的虚拟货币，按照1:1的比例进行支付金额的抵扣。
2.余额无法直接购买下载，可以购买VIP、付费专栏及课程。

余额充值