Python Data Analysis and Algorithms Guide (8-Volume Set) cover

Python Data Analysis and Algorithms Guide (8-Volume Set)

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Chapters
8
ISBN
9787302555179

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Summary

The Python Data Analysis and Algorithms Guide is an eight-volume series on Python for data work published by Tsinghua University Press in 2020, with individual volumes written by Jiang Xuesong, Zou Jing, Deng Liguo, Zhai Kun, Hu Feng, Zhou Xiaoran, Wang Guoping, Bai Ningchao, Tang Dan, Wen Jun, Zhang Ruoyu, Hong Jinkui, and others. Together the eight books cover different stages of the complete data analysis workflow. Python Data Analysis, co-authored by Jiang Xuesong and Zou Jing, centers on Pandas and walks through the full chain of commercial scenarios—from setting up a data science environment, data cleaning and preparation, and plotting with Matplotlib and Seaborn to customer retention analysis, cohort analysis, time series analysis, customer clustering, and statistical testing. Python Big Data Analysis Algorithms and Examples combines Python 3 with third-party open-source tools to explain data extraction, processing, analysis, and visualization as well as typical big data algorithms. Python Machine Learning: Data Analysis and Scorecard Modeling (Micro-Lecture Edition) uses scorecard modeling as its main thread, taking readers from zero foundation to a complete project, and is accompanied by instructional videos, courseware, source code, and datasets. Python Data Visualization with Matplotlib and Pyecharts uses e-commerce customer, order, and stock price data as cases to explain plotting techniques. Python Data Preprocessing Techniques and Practice systematically introduces crawling, data extraction, cleaning, integration, transformation, vectorization, and reduction, and concludes with a news text classification project. Python Scientific Computing (2nd Edition) explains in detail libraries including NumPy, SciPy, Pandas, SymPy, Mayavi, OpenCV, and Cython. Python Quantitative Trading in Practice revolves around the MyQuant quantitative terminal, Talib, multi-factor strategies, and regression models. Python: The Return of the King systematically reviews Python syntax and commonly used modules through a large number of programming examples. Positioned as a from-beginner-to-practice package, the series is suitable for readers who want to build a relatively complete data skills stack in one go and use the volumes as needed.

Editor's review

这是一套“攒出来的大部头”,但攒得有章法。清华大学出版社把自家几本口碑不错的Python数据类单品打包成八册,恰好覆盖了数据分析工作流的完整闭环:先用《Python王者归来》和《Python科学计算》打地基,用《Python数据预处理技术与实践》解决“脏数据”这个最耗时的环节,再进《Python数据分析》《Python数据可视化之Matplotlib与Pyecharts》练手,最后分叉到《Python机器学习》《Python大数据分析算法与实例》《Python量化交易实战》三条应用路线。好处是体系感强、案例多、配套资源(源码、数据集、教学视频)相对齐全,一箱书基本能撑起一个自学者半年到一年的学习计划;不足也明显:八本书作者不同、体例不一,难度深浅不齐,重复的环境搭建内容不少,通读容易变成“重复劳动”。因此编辑不建议从头读到尾,而应把它当成一个可拆解的资料库,按自己的项目需求挑册精读。对预算有限、不想零散买七八本书的读者,这套合集的性价比是它最大的卖点。

Who it's for

A good fit for

  • 想系统入门Python数据分析、需要一条完整学习路径的自学者
  • 高校数据科学、统计、计算机相关专业的学生与授课教师
  • 需要数据处理、可视化与建模能力支撑业务工作的分析师
  • 对量化交易、评分卡建模等垂直应用方向感兴趣的从业者

Not a good fit for

  • 已有扎实Python与统计基础、只需查阅某一专项的高级读者
  • 只想学一本通识入门书、不愿面对多册体量的零基础读者
  • 主要使用R、SQL或其他语言做数据工作的从业者

Reading tips

  1. 先按“基础—预处理—分析—可视化—应用”的顺序挑选3至4册精读,其余作为工具书备查。
  2. 每册都动手复现代码,边读边运行配套源码与数据集,比纯阅读效率高得多。
  3. 遇到重复的环境搭建与语法章节可快速跳过,把时间留给各自的案例与项目章节。
  4. 读完一册后立即用自己行业的数据做一个小项目,检验是否真正掌握。

About the publisher

Tsinghua University Press China · Founded in 1980

Founded in 1980, Tsinghua University Press has 57 titles in our collection, covering popular science, medicine, health, law, philosophy and social sciences. Representative works include medical popular-science books such as Cancer Truth: Doctors Are Reading It Too and New Knowledge on Cancer by Bo Luo (Li Zhizhong), legal titles such as Sunshine Is the Best Preservative: Express Delivery of Major Global Anti-Corruption Cases, and works like Qi Ge's A Brief History of Philosophy with Big Ideas and Liu Yunhao's From the Internet to a New Industrial Revolution. Its authors include science writers, medical researchers, the Renmin University of China anti-corruption master's class and university scholars, reflecting a publishing profile that balances academic seriousness with accessible reading. As public information is limited, this profile is based only on the titles in our collection.

Contents

  1. Volume 1 Python Data Analysis (Jiang Xuesong, Zou Jing)
  2. Volume 2 Python Big Data Analysis Algorithms and Examples
  3. Volume 3 Python Machine Learning: Data Analysis and Scorecard Modeling (Micro-Lecture Edition)
  4. Volume 4 Python Data Visualization with Matplotlib and Pyecharts
  5. Volume 5 Python Data Preprocessing Techniques and Practice
  6. Volume 6 Python Scientific Computing (2nd Edition)
  7. Volume 7 Python Quantitative Trading in Practice
  8. Volume 8 Python Returns of the King

FAQ

这套书包含哪八本?
据套装总目录,八册分别为《Python数据分析》《Python大数据分析算法与实例》《Python机器学习:数据分析与评分卡建模(微课版)》《Python数据可视化之Matplotlib与Pyecharts》《Python数据预处理技术与实践》《Python科学计算(第2版)》《Python量化交易实战》《Python王者归来》。
零基础可以直接读这套书吗?
可以,但建议从《Python王者归来》或《Python数据分析》入门,先把语法与Pandas基础打牢,再进入机器学习、量化交易等偏应用的册次,否则容易在案例部分卡住。
这套书用的是Python 2还是Python 3?
各册均以Python 3为主,例如《Python大数据分析算法与实例》明确说明以Python 3结合第三方开源工具进行大数据分析,但个别册次的库版本较老,按书中代码运行时可能需要更新版本或调整接口。
套装里的书能单本买到吗?
套内各册原本都是清华大学出版社单独出版的单品书,市面上多有独立版本在售。如果只关心其中一两个方向,直接买对应单册通常更划算,不必整套购入。

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About the author

邹静 Author

Public information about Zou Jing is limited, and further confirmation of the author's identity and background is still needed. Among the works held in the collection is "A West China Dentist Mother's Guide Through Her Child's Tooth-Changing Years," which is classified under medicine and addresses oral health issues during children's tooth-changing period. The phrase "West China dentist mother" in the title suggests that the author combines a dental professional background with the experience of being a mother, and likely writes from both professional and parenting perspectives to explain the common knowledge and care methods parents should understand during their children's tooth-changing stage. Books of this kind usually use accessible language to translate dental knowledge into practical daily suggestions for families, helping parents ease their confusion and anxiety when their children's teeth change. Based on what is currently available, Zou Jing's writing centers on the specific subject of children's oral health, emphasizing practicality and close-to-daily-life guidance, and is suitable for parents concerned about their children's dental development.

胡锋 Author

Hu Feng is an author about whom only limited public information is available. One work is known under the name, Analyzing the Risks of Insurance Investment, classified under personal finance. Judging from the title and category, the writing focuses on investment risk in the insurance sector of finance and addresses readers who wish to understand the investment features and risk structure of insurance products. Since reliable records of birth and death dates, nationality, education, and professional career are lacking, a full biography cannot be drawn, and it would be inappropriate to speculate about the author's identity. Based on the available information, Hu Feng's writing takes a clearly practical, analytical approach, centering on the identification and assessment of risk in insurance investment, making it a rather specialized strand within personal-finance literature. Such works generally serve ordinary readers concerned with family protection and asset allocation, and offer reference for practitioners in related fields. Its influence remains to be confirmed by further materials and works.

Wang Guoping Author · Chinese · 1976

Wang Guoping, born in 1976 in Jiangyou, Sichuan, and now living in Dujiangyan, is a poet and writer. He is a member of the China Writers Association and a member of the Plenary Committee of the Sichuan Writers Association. Twelve of his works are included in the library, spanning a wide range of subjects: historical writing on the North African campaign of World War II, surveys of the history of the English-speaking peoples, documentary prose such as The Last 100 Days of Nan Huaijin, and works in social and cultural studies, inspirational growth, and foreign literature. Judging from the available titles, he builds his narratives on solid material, weaving grand historical processes together with the fates of individuals, and his language combines a poet's concision with a documentary writer's restraint. His writing is aimed at general readers and balances readability with substantive knowledge. He has received the Sichuan "Five-One Project" Award and the Sichuan Literature Award, among others. Public information is limited, and further details of his life and the full range of his work remain to be supplemented.

唐聃 Author

Tang Dan is an author about whom limited public information is available. At present, the only known work by this author is Natural Language Processing: Theory and Practice, which is classified under artificial intelligence. Judging from the title and category, the book likely covers both the theoretical foundations and practical applications of natural language processing, explaining relevant concepts and methods while also addressing hands-on implementation, making it suitable for readers who wish to gain a systematic understanding of the field and try things out for themselves. Since details such as the author's educational background, institutional affiliation, and research focus are not found in the available records, a complete picture of the author's writing style and academic trajectory is difficult to form. Based on the existing work, however, the author's focus appears to be on natural language processing as a branch of artificial intelligence, presented through a combination of theory and practice.

文俊 Author

Wen Jun is an author about whom limited public information is available; his nationality, dates of birth and death, and English name cannot be confirmed. Two of his works are currently included in the collection: The Age of Light: A New History of the Middle Ages and A Brief History of the Hundred Years' War, both falling under the categories of world history and military history. Judging from these choices, he focuses on European history from the Middle Ages to the early modern period, combining the history of warfare with broad narratives of historical change, and his writing tends toward general, accessible introductions for ordinary readers. Because public sources are limited, his education, profession, and research focus cannot be verified, but these two titles suggest that he seeks to present complex historical developments in a clear and concise manner, helping readers understand the transformation of medieval society and the causes and consequences of the Hundred Years' War.

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