One Paragraph of project description goes here
These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.
# Razorpay docs: | |
# https://github.com/razorpay/razorpay-python | |
# https://docs.razorpay.com | |
import razorpay # pip3 install razorpay | |
api_key = '<enter your api key here>' | |
api_secret = '<enter your api secret here>' | |
class RazorPay: |
import json | |
def prettyPrint(dct): | |
print(json.dumps(dct, indent=4, sort_keys=True)) | |
if __name__ == "__main__": | |
sample = {'name':'Jatin K Malik', 'age':25, 'id':1299, 'address':'Delhi, India', 'phone':9999999999, 'hobbies':'Code'} | |
prettyPrint(sample) | |
import psycopg2 | |
import pymysql | |
class Database(object): | |
def __init__(self, host_name, user_name, database_name, password, port): | |
self.host_name = host_name | |
self.user_name = user_name | |
self.database_name = database_name | |
self.password = password |
#!/usr/bin/env python3 | |
"""tally_backup.py: this auto backups the zip and folder for tally data.""" | |
__author__ = "Jatin Kumar Malik (@jatinkmalik)" | |
import os | |
import zipfile | |
import shutil |
// Bulk archive old facebook posts | |
// Writen by: @jatinkrmalik | |
// # Usage guide: | |
// 1. Open https://www.facebook.com/<your_user_id>/allactivity/ | |
// 2. Click on "Manage activity" in the left panel. | |
// 3. Make sure "Your posts" is selected. | |
// 4. Execute the script in dev console. | |
// 5. ??? | |
// 6. PROFIT! |
/*#### Bulk add everyone on "My Network" tab on LinkedIn with cooldown ####*/ | |
// ---==== Steps to use ====--- | |
// 1. Go to https://www.linkedin.com/mynetwork/invitation-manager/ | |
// 2. Open Dev Console in your browser. Google "how to open dev console in <your-browser-name> for instructions". | |
// 3. Type `allow pasting` in the console and press Enter to enable script pasting in Chrome (required as Chrome blocks pasting scripts by default). | |
// 4. Go to Console tab. | |
// 5. Paste the script below into the console window and press enter. | |
// 6. Configure coolDownTime as desired. | |
// 7. ???? |
""" | |
Author: @jatinkrmalik | |
This script creates a chat interface between the user and OpenAI's GPT model. | |
Instructions to run the program: | |
1. Set your OpenAI API key as an environment variable in your terminal session. You can do this by running the following command: | |
export OPENAI_API_KEY='your-api-key-here' | |
Remember to replace 'your-api-key-here' with your actual OpenAI API key. | |
2. After setting the API key, you can run the script with the following command: | |
python gpt_cli.py | |
3. Once the script is running, you can start typing your messages into the terminal. The model's responses will be printed out. You can keep the conversation going for as long as you like. |
Google Dorking describes the process of using advanced search filters that allow to retrieve more efficient results. It is a technique often used by cybersecurity professionals in order to find valuable information about a target.
Note: While Google Dorking itself is legal (in most countries), it might quickly lead to actions that aren't, such as visiting a site with illegal content in it.
// 3D Dom viewer, copy-paste this into your console to visualise the DOM as a stack of solid blocks. | |
// You can also minify and save it as a bookmarklet (https://www.freecodecamp.org/news/what-are-bookmarklets/) | |
(() => { | |
const SHOW_SIDES = false; // color sides of DOM nodes? | |
const COLOR_SURFACE = true; // color tops of DOM nodes? | |
const COLOR_RANDOM = false; // randomise color? | |
const COLOR_HUE = 190; // hue in HSL (https://hslpicker.com) | |
const MAX_ROTATION = 180; // set to 360 to rotate all the way round | |
const THICKNESS = 20; // thickness of layers | |
const DISTANCE = 10000; // ¯\\_(ツ)_/¯ |