Learning Python the Snowball Way

Name: Learning Python the Snowball Way
ISBN: 9787121454844

王德朕Publishing House of Electronics Industry · ChinaMay 2023

3.2

Word count: 68K words
Chapters: 38
ISBN: 9787121454844

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Summary

This book explains Python's knowledge system using a snowballing approach. It has 31 chapters in 3 parts. Part 2 is the Basics section, comprising Chapters 1–15, covering core Python concepts. Part 2 is the Advanced section, comprising Chapters 16–28, covering advanced material and the most captivating aspects of Python. By studying this part, readers will experience Python's flexibility, speed, and Zen-like quality in every dimension. Part 3 is the Practice section, comprising Chapters 29–31, using 3 hands-on case studies to introduce Python's data-processing capabilities and its applications in websites.

Editor's review

This book is organized around the idea of "snowballing," stressing that knowledge is not stacked in isolation but grows from core concepts that gradually gather new material and roll larger and larger. The book falls into three stages—basics, advanced, and practice: the basics section covers core Python knowledge, the advanced section shows the language's more flexible and agile side, and the practice section uses three case studies to land on data processing and website applications. For beginners, the advantage of this structure is that every step is supported by the previous stage, so it is easy not to get lost in abstract concepts; for those with scattered prior experience, the advanced and practice sections can link fragments into a usable skill chain. The content emphasizes the language system and practical application rather than quick-reference listings, and is suitable for working through chapter by chapter. Readers are advised to type the code as they read, especially in the practice section—don't just read without practicing, or you may stay at the level of "understanding." Overall, this is a learning-oriented book that requires time and hands-on follow-through, not a set of materials for last-minute cramming.

Who it's for

A good fit for

Readers with no foundation or new to programming who want to build a systematic Python knowledge base
Beginners who have learned scattered syntax but lack complete project experience and want to fill in advanced and practical skills
Self-learners or training-course students who need a step-by-step Python textbook to follow along with

Not a good fit for

Developers with extensive Python project experience seeking advanced architecture or performance-optimization content
Readers who only want to quickly look up syntax and are unwilling to study systematically chapter by chapter

Reading tips

Proceed in the order of basics, advanced, and practice, typing each chapter's code yourself before moving on.
In the practice section, try implementing the cases yourself first, then compare with the book's approach, focusing on recording where you get stuck.
After finishing each stage, reproduce the core knowledge points with your own small project to check whether you have truly mastered them.

About the publisher

Publishing House of Electronics Industry China · Founded in 1982

The Publishing House of Electronics Industry is a comprehensive publisher distinguished by its focus on electronic information and related fields. Judging from the more than 3,000 titles in its catalogue, its publishing covers programming and design, artificial intelligence, computer science, finance and economics, photography, and social sciences, attending both to cutting-edge technology and to general readers. Representative titles include Factor Investing: Methods and Practice, x86 Assembly Language: From Real Mode to Protected Mode, The RISC-V Reader, Artificial Intelligence: Speech Recognition, Understanding and Practice, Phased Array Radar Technology, Radar Target Characteristics, and 100 Go Mistakes and How to Avoid Them, most of which centre on technical methods and engineering practice. Its authors include Shi Chuan, Li Zhong, Wang Xiaobo, David Patterson, Andrew Waterman, and Yu Zihao, among others from China and abroad. Owing to limited public information, no further publishing features are elaborated here.

版权信息
作者简介
内容简介
前言
第1部分基础篇
1 Python正确起手式
2 无门槛掌握数据类型与输入/输出函数
3 无转折不编程
4 列表一学完，Python会一半
5 Python循环的本质就是一段代码懒得重复写
6 Python元组，不可变的列表
7 字典怎么查，Python字典就怎么用
8 Python中无序且元素唯一的数据类型——集合
9 函数是Python基础部分的第一道难关
10 Python面向对象的编程
11 Python模块的设计与应用
12 Python文件读取与写入
13 Python程序异常处理与logging模块
14 在Python中操作SQLite数据库
15 Python中的多线程与多进程
第2部分进阶篇
16 列表与元组、字典与集合
17 列表推导式与字典推导式
18 lambda表达式
19 内置函数filter()、map()、reduce()、zip()、enumerate()
20 函数装饰器
21 闭包
22 Python中的日期与时间
23 global和nonlocal作用域
24 Python中的哈希表与可哈希对象
25 Python内置模块之random
26 Python内置模块之re，正则表达式的初阶用法
27 sys库、os库、getopt库与filecmp库
28 类函数、成员函数、静态函数、抽象函数和方法伪装属性
第3部分实战篇
29 爬虫案例——某育儿网问答数据抓取
30 爬虫案例——奥特曼图片采集
31 Python开源框架：Flask

FAQ

Can I read this book with zero foundation?

Yes. The basics section starts from core Python knowledge, and you can proceed chapter by chapter. But learning programming requires hands-on practice; it is advisable to read with a computer and type the code as you go. When you hit an error, troubleshoot it yourself first—don't just stay at the reading level, or many concepts in the basics section will be hard to truly internalize.

What directions do the hands-on case studies in the book cover?

According to the materials, the practice section uses three case studies to introduce Python's data-processing capabilities and its applications in websites. The cases serve to connect basic and advanced knowledge; it is advisable to first understand the problem each case addresses, then follow the implementation, and finally try changing the requirements or data to check whether you can truly transfer and apply what you have learned.

Is this book suitable for exam preparation or quick mastery?

The book unfolds step by step according to the knowledge system, emphasizing coherent learning from basics to advanced to practice, and is better suited to arranging a period of systematic reading and practice. If your goal is short-term quick mastery or last-minute exam prep, it may be less direct than dedicated exam-focused review materials; choose according to your learning goal.

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About the author

王德朕 Author · China

Wang Dezhen is a Chinese author about whom limited public information is available. His currently known work is Learning Python by Rolling a Snowball, which is often categorized under general computing. As the title suggests, the book uses the image of a rolling snowball to emphasize a gradual, step-by-step approach to learning, and it is aimed at readers who wish to build a systematic foundation in Python programming. As the only visible work by this author, it reflects his approach to writing programming tutorials: focusing on learning rhythm and the accumulation of fundamentals, and attempting to explain Python-related knowledge in an easy-to-follow manner. Because no reliable records of his birth and death dates, educational background, or professional experience are available, this introduction makes no speculation and concentrates only on the subject matter and writing characteristics of the work. Overall, Wang Dezhen's name is currently associated mainly with this introductory programming study book, whose style leans toward practicality and beginner guidance, suitable for newcomers who want to build a programming foundation step by step.