Models don’t fail in notebooks.
They fail in production systems.
- Most ML talks focus on:
| import xml.etree.ElementTree as ET | |
| import re | |
| def find_broken_attributes(xml_string): | |
| """Find and report broken attributes in an XML string using recursion""" | |
| # First try simple regex approach to find common broken attribute patterns | |
| broken_attributes = find_broken_attributes_with_regex(xml_string) | |
| # If no broken attributes found with regex, try parsing and recursively checking | |
| if not broken_attributes: |
So i've been asking the question: "how exactly should i write Golang in a very futuristic way?" futuristic meaning maintainable, flexible and of course, testable. I came across Mat Ryer's way which made a lot of sense, however, Russ Cox begs to differ, and of Russ Cox is whoever he thinks is within Golang's compound. So I dug further and found more resources, I'll try to update this gist as i continue this journey
TLDR; they all say the same thing: organise by function and not by type
A step by step introduction into the AWK command, it's syntax, uses and sample use cases.
The awk command is a column based manipulation tool that can be used for a variety of things, from reading CSVs to killing processes, literally.
At the very core, AWK is based on the following
awk '{expression to qualify output} {print $output expression}'
Although it's a cli tool, it offers a lot of programming language paradigms such as
| package main | |
| import ( | |
| "context" | |
| "fmt" | |
| "log" | |
| "net/http" | |
| "os" | |
| "time" |
a snapchat inspired backend chat application