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kristofer

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kristofer / InterfaceDemo.java

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1 interface Shape {
2 double area();
3 double perimeter();
4 }
5
6 class Circle implements Shape {
7 private double radius;
8
9 public Circle(double radius) {
10 this.radius = radius;
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kristofer / PolymorphismInheritance.java

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1 class A
2 {
3 public void methodA() {
4 System.out.println("method of Class A");
5 }
6 }
7 class B extends A{
8 public void methodB(){
9 System.out.println("method of Class B");
10 }
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kristofer / Inheritance.java

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1 class A
2 {
3 public void methodA() {
4 System.out.println("method of Class A");
5 }
6 }
7 class B extends A{
8 public void methodB(){
9 System.out.println("method of Class B");
10 }
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kristofer / HeapSort.java

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1 import java.util.*;
2 public class HeapSort {
3 public void sort(int arr[])
4 {
5 int N = arr.length;
6
7 for (int i = N / 2 - 1; i >= 0; i--)
8 heapify(arr, N, i);
9
10 for (int i = N - 1; i > 0; i--) {
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kristofer / WebsiteStatusChecker.java

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1 import java.io.IOException;
2 import java.net.HttpURLConnection;
3 import java.net.URL;
4 import java.util.Scanner;
5
6 public class WebsiteStatusChecker {
7 public static void main(String[] args) {
8 Scanner scanner = new Scanner(System.in);
9 System.out.print("Enter the website URL to check: ");
10 String urlToCheck = scanner.nextLine();
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kristofer / FastAPI_auth_example.py

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1 from fastapi import FastAPI, Depends, HTTPException, status, Header
2 from sqlalchemy import create_engine, Column, String, Integer
3 from sqlalchemy.ext.declarative import declarative_base
4 from sqlalchemy.orm import sessionmaker
5 from keycove import encrypt, decrypt, hash, generate_token
6 from sqlalchemy.orm import Session
7
8 app = FastAPI()
9
10 SQLALCHEMY_DATABASE_URL = "sqlite:///db.sqlite3"
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kristofer / AsyncWithFASTAPI.md

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Useful, from FastAPI, description of Async and Await within concurrency in Python

Concurrency and async / await

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kristofer / O'Reilly Research

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the items traced by reading the 3-part series.

The original Three articles.

  • https://www.oreilly.com/radar/what-we-learned-from-a-year-of-building-with-llms-part-i/
  • https://www.oreilly.com/radar/what-we-learned-from-a-year-of-building-with-llms-part-ii/
  • https://www.oreilly.com/radar/what-we-learned-from-a-year-of-building-with-llms-part-iii-strategy/

And then the Rabbit Holes.

  • https://www.microsoft.com/en-us/research/blog/the-power-of-prompting/ Microsoft's ideas on prompt engr rather than fine-tunning.
  • https://www.linkedin.com/blog/engineering/generative-ai/musings-on-building-a-generative-ai-product LinkedIn's App work description.
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kristofer / guidance-example.py

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1 import guidance
2 gpt35 = guidance.models.OpenAI("gpt-3.5-turbo")
3
4 import re
5 from guidance import gen, select, system, user, assistant
6
7 @guidance
8 def plan_for_goal(lm, goal: str):
9
10 # This is a helper function which we will use below
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kristofer / PyObjects.py

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1 print("1 Hello World!")
2
3 class HelloWorld:
4 def main(self):
5 print("2 Hello World!")
6
7 obj = HelloWorld()
8 obj.main()
9
10 # What do you MEAN Python is an Object Oriented Language?
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