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  • 2 USD

    Python - Tkinter Calculator

    Python
    Good morning, I created a project with the help of the Tkinter Library.
    My conception was so that the calculator is necessary in the robot, it helps quickly give a response and in this helps python.


  • Parking on Twitter

    Python
    Parsing the statistics of your account and tweets on Twitter according to the nickname and the indicated number.
    Working time 1 day.
    On the output we get .csv files with the necessary information.

    Unfortunately, the service does not allow you to add more than 1 screenshot. Photo resulting file with tweets and other information


  • Parking Manga

    Python
    Storage pages of the manga and distribution by folders depending on the chapter. Cloudflare, multi-tensity and somewhat magic with javascript)


  • 45 USD

    Python Neurocon: Fire Detection of Neurocon

    Python
    Python Neurocon: Fire Detection of Neurocon


  • 35 USD

    Posts Tagged: Get ID

    Python
    The telegram bot was created to simplify and facilitate the obtaining of user data.
    When you enter the bot, you will receive your Telegram ID with the first message.
    Also by sending a message to the bot you will see the ID of the person the message you have sent.
    And in addition to this by sending posts to channels, you will also see data about the channel.
    The bot is simple, but very useful for developers and people whose work is related to telegram.

    #python #telegram-bot #telegram-bot #telegram-bot #aiogram


  • 113 USD

    System for Face Recognition

    Python
    Danny PZ carries out facial recognition. It can be used in the enterprise to carry out the visitability of the staff. You can also figure out who and how it moves in the room. The programming language is Python, GoLang. At the expense of what the decision is given to "cover" in Docker, the start time is a dozen minutes.


  • 23 USD

    Posts Tagged BOT TELEGRAM

    Python
    The telegram bot allows you to obtain unique referral codes.
    And also check your reference code at any time through the same bot.
    On the part of the administrator, there is the possibility to search for the user ID of his reference key or to download all users from the database to the Excel table.
    #python #telegram-bot #telegram-bot #reference


  • Viber Bot Lessons

    Python
    Chatbot for Viber that reports the schedule of the lessons for the current day, designed for the students of their class.


  • 1500 USD

    Cashback Service

    Python
    Development of a cache service on Python + Flask with the integration of the CPA partnership program on the API.

    I have developed a fully-backend, and connected to the already ready template with small changes.

    In the project, the technology was used:

    by Python 3.9
    The Flask
    by JavaScript
    by jQuery
    Flask-RESTful (for browsers added)
    The Fire


  • Feed Bot

    Python
    by PostgreSQL
    Requests and lxml
    Python-telegram-bot with multiple user requests processing


  • 2000 USD

    Telegram Directory – TGDIR

    Python
    TGDIR is a Telegram directory, where every user can add channel, group, or bot. In every channel, group or bot are chart of users, which automatically updates by bot every day. Channels which were added in directory, has iframe with latest publications. You could use iframe in other websites. Telegram Directory has api, with what you can generate your own statistics widget, and enter into your own webpage.

    Log in site you receive possibility to subscribe on channel, groups, and bots. You will have ability to buy ads for your channels, bots, and groups, throught Payeer

    I've created this project from start to end. This project was created with Pyhon/Jango, MySQL.


  • 23 USD

    Convert CSV to image (+ flexible size settings)

    Python
    Task: Convert files in CSV format into images for further display on the public facility screen. Table screenshots in Excel and multiple photos are not accepted.
    Solution: using the CSV library collected all the data from the table to the list, and then determined the size of the list itself (the number of lines) and the size of the larger sublist (the number of columns). With the help of the library, Pillow scratched the table and through simple manipulations, distributed the numbers from the list to the cell.
    Feature of work: Due to the lack of ready libraries to convert the table into a picture (not counting the ready APIs), this project can be called a small contribution to the open source language.