《从Excel到Python》内容简介
《从Excel到Python：用Python轻松处理Excel数据（第2版）》是写给非IT领域职场人员的Python数据处理指南。因为本书面向的不是专业的程序员，所以在叙述上通俗易懂。为了让读者在学习时对Python的知识点有更深刻的理解，本书采用了即学即用的讲解方式：在介绍知识点的同时，将知识点穿插到案例应用中，而案例应用采用“提出要解决的问题→找到解决问题的思路→展示完成前后的对比效果→提供解决问题的代码→逐步分析代码”的方式进行讲解，使读者既学会了Python的知识点，又厘清了解决问题的思路，同时掌握了代码的编写技巧。
《从Excel到Python：用Python轻松处理Excel数据（第2版）》的主要内容包括Python基础、Python第三方库、循环语句与分支语句、字符串处理技术、列表处理技术、元组处理技术、字典处理技术、集合处理技术、Python自定义函数、常用高阶函数应用、openpyxl库、Python与Excel综合应用案例，以及数据分析库Pandas。
作者简介
曾贤志
办公软件培训讲师；
特邀技术图书作者；
KVP（金山办公最有价值专家）；
WPS官网内容共创者；
主要做Word、Excel、PowerPoint培训。擅长技术有Office、VBA、JSA、PowerQuery、PowerPivot、PowerBI、Python与Excel结合应等。为国家电网、中国电信、富士康、康师傅等多家企业做过办公软件培训。
曾智勇
高级教师；
优秀校长；
专家库入库专家；
擅长利用数据分析提高教学效果和创造个性化的学习体验。比如通过收集学生的成绩、行为和参与情况等数据，使用Python和Excel来分析学生的学习需求和潜在问题，并采取有针对性的措施来帮助他们实现最佳学习效果。
From Excel to Python
From Excel to Python: Making Excel Data Easy with Python (2nd Edition) is a Python data processing guide for non-IT professionals. Because the book is not aimed at professional programmers, the narrative is easy to understand. In order to allow readers to have a deeper understanding of Python knowledge points when learning, this book adopts a ready-to-use explanation method: While introducing the knowledge point, the knowledge point is interspersed into the case application, and the case application is explained in the way of "proposing the problem to be solved → finding the idea of solving the problem → showing the comparative effect before and after completion → providing the code to solve the problem → gradually analyzing the code", so that the reader can learn the knowledge point of Python and clarify the idea of solving the problem. At the same time master the coding skills.
From Excel to Python: The main content of Python to easily handle Excel data (2nd edition) includes Python basics, Python third-party libraries, loop statements and branch statements, string processing technology, list processing technology, tuple processing technology, dictionary processing technology, collection processing technology, Python custom functions, commonly used higher-order function applications, op enpyxl library, Python and Excel integrated application cases, and data analysis library Pandas.
About the author
Zeng Xianzhi
Office software training instructor;
Invited technical book author;
KVP (Jinshan Office Most Valuable Expert);
WPS official website content co-creator;
Mainly do Word, Excel, PowerPoint training. He is good at Office, VBA, JSA, PowerQuery, PowerPivot, PowerBI, and the combination of Python and Excel. I have done office software training for State Grid, China Telecom, Foxconn, Master Kong and many other enterprises.
Zeng Zhiyong
Senior teachers;
Excellent principal;
Expert repository expert;
Excel at using data analytics to improve teaching effectiveness and create personalized learning experiences. For example, by collecting data on students' grades, behavior, and engagement, Python and Excel are used to analyze students' learning needs and potential problems, and take targeted measures to help them achieve the best learning results.
