What can this bot do❔
tadeha
/ sample-telegram-bot.php
Created
September 6, 2017 10:51
This is a sample Telegram bot written in PHP.
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| <?php | |
| /* | |
| * Sample Telegram Bot Source Code | |
| * | |
| * @author Tadeh Alexani | |
| * @version 1.00, 2017-09-06 | |
| * PHP | |
| */ |
tadeha
/ README-Template.md
Last active
September 9, 2017 05:30
— forked from PurpleBooth/README-Template.md
A template to make good README.md
tadeha
/ keybase.md
Created
January 6, 2018 19:42
I hereby claim:
- I am tadeha on github.
- I am tadeh (https://keybase.io/tadeh) on keybase.
- I have a public key ASCg8R_95kfKFEFl93hEm_FAhKxp-RxxwX9mHK4zl05Pjwo
To claim this, I am signing this object:
tadeha
/ MapViewController.swift
Last active
July 20, 2022 14:47
🗺Map View with Bottom Components for each Marker // Using Google Maps and written in Swift 5
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| // | |
| // MapViewController.swift | |
| // | |
| // Created by Tadeh Alexani on 7/14/19. | |
| // Copyright © 2019 Tadeh Alexani. All rights reserved. | |
| // | |
| import UIKit | |
| import GoogleMaps |
tadeha
/ UITextField+Extension.swift
Created
November 2, 2019 12:33
Add padding and icon to the left/right of the textfield rect.
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| // | |
| // UITextField+Extension.swift | |
| // | |
| // Created by Tadeh Alexani on 02/11/2019. | |
| // Copyright © 2019 Tadeh Alexani | |
| // | |
| import UIKit.UITextField | |
| extension UITextField { |
tadeha
/ HTTPClient.swift
Created
May 9, 2020 14:41
An HTTP Client class that handles global requests to our API (GET, POST & PATCH) using Alamofire.
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| import Foundation | |
| import Alamofire | |
| import SwiftyJSON | |
| class HTTPClient { | |
| static func apiRequestCall(withUrl url: String, method: HTTPMethod, params: [String:Any] = [:], headers: [String:String],encoding: ParameterEncoding = JSONEncoding.default, completion: @escaping (JSON?, Error?) -> Void) { | |
| AF.request(url, method: method,parameters: params,encoding: encoding, headers: HTTPHeaders(headers)).validate(statusCode: 200..<600).responseJSON { | |
| response in |
tadeha
/ TEDxTehran_Recommender_System.ipynb
Created
August 12, 2020 07:08
Developed TEDxTehran Recommender System using the k-nearest neighbor machine learning algorithm. The dataset is prepared by our curation team who categorized 70+ TEDxTehran talks since 2013 using 7 divided forms and the official TED custom categories.
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