10 recommended courses on data cleaning

Post a code written when doing data cleaning. When doing data processing, the original file data needs to be converted into a certain format during processing. Original file data: 123.txt1,3,4 2,3,5 1,2,3,5 2,5 Use Python to convert into a two-dimensional list: #!/usr/bin/env python #coding=utf-8 def loadDataSet(): file = open("123.txt", "r") List_row = file.readlines() list_source =&

1.Detailed introduction to two-dimensional lists

##Introduction: Paste a code written during data cleaning. When doing data processing, the original file data needs to be converted into a certain format during processing. Original file data: 123.txt1,3,42,3, 51,2,3,52,5 use Python to convert into a two-dimensional list: #!/usr/bin/env python#coding=utf-8def loadDataSet(): &n...

2.Detailed explanation of examples of cleaning strings in python

Introduction: This article mainly introduces relevant information on string processing of python data cleaning. Friends who need it can refer to

##3.

Java is replaced by ScheduledExecutorService Timer code example

Introduction: Continue concurrency. The last blog did not introduce ScheduledThreadPoolExecutor. I said I will always write a separate blog with Timer. 1. Defects of Timer in managing delayed tasks a. In the past, timers were often used in projects, such as cleaning up some junk files in the project every once in a while, and collecting data every period of time. Cleaning; however, Timer has some flaws, because Timer will only create one thread when executing a scheduled task, so if there are multiple tasks and the task time is too long, more than two

4.

Python data cleaning data merging, transformation, filtering, sorting

Introduction: This article mainly introduces the relevant information of data merging, conversion, filtering and sorting of python data cleaning. Friends in need can refer to

5.

Python data cleaning series Detailed explanation of string processing

Introduction: This article mainly introduces the string processing of Python data cleaning For related information, friends who need it can refer to

##6.

Data cleaning notes (14): Unnoticed usage of rtrim_MySQL

Introduction: [Background] Under the business logic, a certain field data needs to be processed, and it is required to count from the right side. Starting from the first bit, 0s are removed from data with consecutive 0s. We are accustomed to using the rtrim function to process the spaces starting on the right, but we have overlooked that this function can actually remove specific numbers

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