add notebooks facebook page and finance-interest
This commit is contained in:
86
FacebookPagePost.ipynb
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86
FacebookPagePost.ipynb
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 4,
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"id": "51f39293-1c93-46f8-a32a-878c726866ae",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"\n",
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"curl -i -X GET \"https://graph.facebook.com/v24.0/oauth/access_token?grant_type=fb_exchange_token&client_id=4300871010148095&client_secret=af6db4c44e817e599f1df5e36b140d89&fb_exchange_token=EAA9HnpDI3v8BQG3AeYVip1t2PoIhvZA27jMrkDZBxbT9XV8AJVt2PGiS1lHlguigcFaqOj21NvWqZCkdVrKQQjh9PC4HoMnw2V1kUniSOEKXUu2v1CXd3mmijHcO7tsUsvmFxZBlZB9geSiD0TqJym0bKBVcptyOWv0JZA0GBhcI42Muzp0I6JumuuFQYcqiZBB29wj\"\n",
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"\n",
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"{\"id\":\"898811189972388_122105810781121964\"}\n"
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]
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}
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],
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"source": [
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"#!/usr/bin/env python\n",
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"# -*- coding: utf-8 -*-\n",
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"\n",
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"\"\"\"\n",
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"Make Automated Posts to Facebook Page\n",
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"\"\"\"\n",
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"\n",
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"import requests\n",
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"\n",
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"# Explorer\n",
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"# https://developers.facebook.com/tools/explorer\n",
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"\n",
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"# Variables\n",
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"version = 'v24.0'\n",
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"\n",
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"# Your App information\n",
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"access_token = 'EAA9HnpDI3v8BPZB9gZBavZAGCjuSBTEJ0PxXVu1UxAAxAPF5GhDd3gG7grykwUktm9DrQn0Nf7Ov8fFZAttnT7fAhORKsxQvu7CC6IOXYfthmCLK7w7CejCSELZBTsHiIRRiWeqRdZA7yqqICy8sQuDLJKWKuNQIv1TcfOTlScDPi1knaqsHJz4JXelbUQKHX5gMnUkI04' # Add your Access Token\n",
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"access_token_2 = 'EAA9HnpDI3v8BQG3AeYVip1t2PoIhvZA27jMrkDZBxbT9XV8AJVt2PGiS1lHlguigcFaqOj21NvWqZCkdVrKQQjh9PC4HoMnw2V1kUniSOEKXUu2v1CXd3mmijHcO7tsUsvmFxZBlZB9geSiD0TqJym0bKBVcptyOWv0JZA0GBhcI42Muzp0I6JumuuFQYcqiZBB29wj'\n",
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"app_id = '4300871010148095' # Add your App ID\n",
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"app_secret = 'af6db4c44e817e599f1df5e36b140d89' # Add your App secret\n",
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"page_id = '898811189972388' # Add your Facebook Page ID\n",
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"\n",
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"# Get long token\n",
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"print(f'''\n",
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"curl -i -X GET \"https://graph.facebook.com/{version}/oauth/access_token?grant_type=fb_exchange_token&client_id={app_id}&client_secret={app_secret}&fb_exchange_token={access_token_2}\"\n",
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"''')\n",
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"\n",
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"# To post text with a URL\n",
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"my_url = 'https://workforcode.com/' # Add your URL\n",
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"message = 'Hello World fix timeout error' # Update this with the text in your Facebook post\n",
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"\n",
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"baseurl = f'https://graph.facebook.com/{version}/{page_id}/feed'\n",
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"payload = {\n",
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" 'message': message,\n",
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" 'link': my_url,\n",
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" 'access_token': access_token_2\n",
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"}\n",
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"# Make Facebook post on your Page\n",
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"# timeout error\n",
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"res = requests.post(baseurl, data=payload, timeout=60)\n",
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"print(res.text)"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.12.11"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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48
Finance-Interest.ipynb
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48
Finance-Interest.ipynb
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@@ -0,0 +1,48 @@
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 1,
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"id": "ebf454c3-d629-43e9-b9cc-34d306e89c23",
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"metadata": {},
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"outputs": [
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{
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"ename": "ModuleNotFoundError",
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"evalue": "No module named 'pandas'",
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"output_type": "error",
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"traceback": [
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"\u001b[31m---------------------------------------------------------------------------\u001b[39m",
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"\u001b[31mModuleNotFoundError\u001b[39m Traceback (most recent call last)",
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"\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[1]\u001b[39m\u001b[32m, line 1\u001b[39m\n\u001b[32m----> \u001b[39m\u001b[32m1\u001b[39m \u001b[38;5;28;01mimport\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34;01mpandas\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;28;01mas\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34;01mpd\u001b[39;00m\n\u001b[32m 2\u001b[39m \u001b[38;5;28;01mimport\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34;01mnumpy\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;28;01mas\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34;01mnp\u001b[39;00m\n",
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"\u001b[31mModuleNotFoundError\u001b[39m: No module named 'pandas'"
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]
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}
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],
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"source": [
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"import pandas as pd\n",
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"import numpy as np"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.12.11"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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