http://gitbook.cn/gitchat/column/5a7d1a13a7f22b3dffca7e49
Course Introduction
This course is a practical course for Python crawler and data analysis project, which is mainly divided into 3 parts:
- The first part is the Python crawler, which mainly uses Urllib 3 and BeautifulSoup to capture the bra sales data of Tmall Mall and Jingdong Mall, and save it to the SQLite database;
- The second part is to clean the captured bra sales data, mainly to remove empty data and make the data format more standardized;
- The third half uses Pandas to analyze the data and use Matplotlib to visualize the analyzed data.
Through a series of analysis, we can get the standard size of Chinese women's breast size (chest circumference). Do you want to know what is the most standard bust size for Chinese women? Want to know what color bras are the best sellers? Wondering if women with a C cup and above prefer to buy bras on Tmall or JD.com? The answers are in this course.
about the author
Li Ning, founder & CEO of Orui Technology, technology fanatic, author of best-selling IT books, CSDN special lecturer, CSDN blog expert, has nearly 20 years of software development and training experience. The main research areas include Python, deep learning, data analysis, blockchain, Android, Java, etc. He has published more than 30 IT bestsellers, mainly including "Python From Rookie to Expert", "Swift Definitive Guide", "Android Development Guide", etc.
Course content
Lesson 01: Analyzing Tmall's Bra Sales Data
Lesson 02: Grab Tmall's Bra Sales Data
Lesson 03: Grab JD.com bra sales data
Lesson 04: Data Cleaning
Lesson 05: Data Analysis Library: Pandas
Lesson 06: Data Visualization Library: Matplotlib
Lesson 07: Analysis of cup sales ratio
Lesson 08: Bra Color and Upper Bust Sales Ratio and Distribution
people suitble
- Python programmer
- Students who have Python development experience and want to understand Python crawler development
- Students interested in Python data analysis
Master Class Purchase Instructions
- This course is a graphic content course with a total of 8 articles.
- Paid users can enjoy perpetual access to articles.
- Paid users can obtain the PASS permission of the reader circle and further interact with the lecturer.
- This course is a virtual product. Once paid, there will be no refund. Please understand.