Automating HR Data Processing with Python: Reading Excel, Extracting Birthdates, and Calculating Date Differences
This article demonstrates how to use Python to read and write Excel files, extract birth dates from Chinese ID numbers, and compute the time interval between dates, providing a practical example for automating HR data handling.
The author shares a personal motivation to help HR colleagues during the busy autumn recruitment season by creating a Python script that automates candidate screening.
Technical highlights:
Read and write Excel files using Python.
Extract birth dates from Chinese identity numbers.
Calculate the time difference between two dates.
An example dataset is shown (originally displayed as images) where each employee's birthday needs to be recorded for company benefits. The script would parse the Excel sheet, pull the birthdate from the ID column, and compute any required date intervals.
Although the original article includes screenshots of the code and data, the core logic involves using libraries such as pandas or openpyxl for Excel manipulation and Python's datetime module for date parsing and arithmetic.
The piece concludes with a friendly note encouraging readers to scan a QR code to receive a free Python public course, emphasizing the author’s enthusiasm for sharing useful Python skills.
Python Programming Learning Circle
A global community of Chinese Python developers offering technical articles, columns, original video tutorials, and problem sets. Topics include web full‑stack development, web scraping, data analysis, natural language processing, image processing, machine learning, automated testing, DevOps automation, and big data.
How this landed with the community
Was this worth your time?
0 Comments
Thoughtful readers leave field notes, pushback, and hard-won operational detail here.