I'm having parsing errors on my code, below is the code and almost understandable dataset import numpy as np import pandas as pd from datetime import datetime
I'm trying to parse an Apache Log with regex using Python and assign it to separate variables. ACCESS_LOG_PATTERN = '^(\S+) (\S+) (\S+) \[([\w:/]+\s[+\-]\d{4})
How to split word from Thai sentence? English we can split word by space. Example: I go to school, split = ['I', 'go', 'to' ,'school'] Split by looking only s
How to split word from Thai sentence? English we can split word by space. Example: I go to school, split = ['I', 'go', 'to' ,'school'] Split by looking only s
I am trying to use Python to parse a CSV file. I have a string like this: "11/11/14","Buy","1,900","$10.40","-$19,760.00" I want to parse it to into list
I am comparing scapy and dpkt in terms of speed. I have a directory with pcap files which I parse and count the http requests in each file. Here's the scapy cod
I am trying to map the str.split function to an array of string. namely, I would like to split all the strings in a string array that follow the same format. An
Given the code: public static int sum(String a, String b) /* throws? WHAT? */ { int x = Integer.parseInt(a); // throws NumberFormatException int y = Integer
I have a window that contains a HH:mm time TextField in it, in 24 hours format I need to validate if the user entered any non valid hour, like 28:00, 99:00, 24
I have a window that contains a HH:mm time TextField in it, in 24 hours format I need to validate if the user entered any non valid hour, like 28:00, 99:00, 24
If a string contains a .ini file data , How can I parse it in JavaScript ? Is there any JavaScript parser which will help in this regard? here , typically str
We have this string : "Il Responsabile della Sicurezza nelle gallerie – 1° PARTE" and we want to get two part of it: Il Responsabile della Sicurezza
I am trying to parse out full name out of a single field and store them into different variables so I can use them uniquely as FirstName, MiddleName, LastName.