Bootstrap knowledge of LLMs ASAP. With a bias/focus to GPT.
Avoid being a link dump. Try to provide only valuable well tuned information.
Neural network links before starting with transformers.
https://github.com/Asabeneh/30-Days-Of-Python |
import json | |
import xlwings as xw | |
import pandas as pd | |
fileName = 'Sample_Exhibit_01.xlsx' | |
metadata = "metadata.json" | |
sample_data = { | |
"ExhibitName01":{ |
var express = require('express'), | |
ntlm = require('express-ntlm'); | |
const port = 3000; | |
var app = express(); | |
app.use(ntlm({ | |
debug: function() { | |
var args = Array.prototype.slice.apply(arguments); | |
console.log.apply(null, args); | |
}, |
var express = require('express'), | |
ntlm = require('express-ntlm'); | |
const port = 3000; | |
var app = express(); | |
app.use(ntlm({ | |
debug: function() { | |
var args = Array.prototype.slice.apply(arguments); | |
console.log.apply(null, args); | |
}, |
var express = require('express'), | |
ntlm = require('express-ntlm'); | |
var app = express(); | |
app.use(ntlm()); | |
app.all('*', function(request, response) { | |
response.end(JSON.stringify(request.ntlm)); }); | |
app.listen(9000); |
from http.server import HTTPServer, BaseHTTPRequestHandler | |
from io import BytesIO | |
class SimpleHTTPRequestHandler(BaseHTTPRequestHandler): | |
def do_GET(self): | |
self.send_response(200) | |
self.end_headers() | |
self.wfile.write(b'Hello, World!') |
import openpyxl | |
import pandas as pd | |
import json | |
import ast | |
wb = openpyxl.load_workbook(r'C:\Users\Ausu\Documents\C(Sharp) Projects\Sample_JsonGenMetadata.xltm') | |
def getSheetNameTable(): | |
listofSheetName = [] | |
worksheet = wb["Metadata"] |
{ | |
"$ref": "#/definitions/Welcome", | |
"definitions": { | |
"Welcome": { | |
"type": "object", | |
"additionalProperties": false, | |
"properties": { | |
"version": { | |
"type": "integer" | |
}, |