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在接手前同事遗留的90%完成的员工数据处理程序时，你需要修复错误并提升性能。Python脚本存在调试问题，如get_start_date()等函数操作的数据文件加载缓慢。通过找出瓶颈并进行代码优化，将原本耗时近两分钟的2019-01-01报告生成过程缩短至几秒钟内。
Introduction
You're a member of your company's IT department. A colleague that recently left the company wrote a program that's 90% complete; it's designed to read some data files with information on employees and then generate a report. It's up to you to finish the code -- this includes fixing any errors, bugs, and slowness that might be in the unfinished code.
Debug issue
You have a start_date_report.py Python script with a bunch of functions like get_start_date(), list_newer() and others. This script will operate on the data file employees-with-date.csv, which is generated from a file URI within the script. The script then generates a report of a
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