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RGGH / rust-xp-02-postgresql-sqlx.rs
Created March 31, 2023 18:13 — forked from jeremychone/rust-xp-02-postgresql-sqlx.rs
Rust to PostgreSQL with SQLX | Rust By Example
#![allow(unused)] // silence unused warnings while exploring (to comment out)
use sqlx::postgres::{PgPoolOptions, PgRow};
use sqlx::{FromRow, Row};
// Youtube episode: https://youtu.be/VuVOyUbFSI0
// region: Section
// Start postgresql server docker image:
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RGGH / nginx-https.md
Created October 16, 2022 21:47 — forked from dotja/nginx-https.md
Configure Nginx with HTTPS

Nginx/HTTPS Configuration

About

HTTPS is when HTTP (hypertext transfer protocol); a communication protocol, is encrypted using TLS (transport layer security).

This means that if anyone is eavesdropping on the communication between a server and a client, they will eavesdrop on encrypted data that is hard to decipher and is therefore secure.

TLS is the more recent term which replaces the term SSL (secure socket layer) but we can refer to them as SSL/TLS.

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RGGH / run python file without typing python and extension.md
Created September 15, 2022 18:50 — forked from umangahuja1/run python file without typing python and extension.md
How to run python files without typing python and extension

How to run python files without typing python and extension (in Linux)

Steps to follow to run your python code without typing python filename.py.

You can simply run by typing filename if you follow these simple steps.

Step 1 : Add shebang line as first line in your python code

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RGGH / Scrapy-tables
Created June 7, 2021 12:28 — forked from dray89/Scrapy-tables
How to scrape tables using Scrapy
import scrapy
import pandas
from ..items import YahooItem
class YahooSpider(scrapy.Spider):
name = 'Yahoo'
symbols = ["ADSK","BA","CAT","EBAY","GS","HSY","IBM","JPM","WMT","SHOP",
"T", "F", "TRI", "AMZN", "C", "A", "O", "B","MSFT", "NVDA",
"DIS", "AAL", "NFLX", "JNJ","BAC","GOOGL", "WFC"]
start_urls = ['https://finance.yahoo.com/quote/{0}/history?p={0}'.format(x) for x in symbols]
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RGGH / PolynomialLinearRegression.py
Created May 26, 2021 07:16 — forked from tharunpeddisetty/PolynomialLinearRegression.py
Implementing Polynomial Regression for predicting the salaries of the employees based on their seniority level
# Importing the libraries
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
# Importing the dataset
dataset = pd.read_csv('/Users/tharunpeddisetty/Desktop/Position_Salaries.csv') #Add your file path
X = dataset.iloc[:,1:-1].values
y = dataset.iloc[:, -1].values